Author: Nitish M

The Battle over Healthcare: Round One Ends with a Whimper and Uncertainty | Sherpas in Blue Shirts

Healthcare reform has become a political slugfest, casting a spell of ambiguity as the world’s largest healthcare economy attempts to fundamentally transform itself.

Consequently, the global services industry is waiting with baited breath to see how this upheaval pans out. For context, healthcare has been a saving grace, growing at three times the rate of the overall IT-BPO market, which is facing challenging times of its own.

On March 6, Republicans unveiled their plan to repeal the Affordable Care Act, or ACA, popularly known as Obamacare. The ACA, which was signed in March 2010 and came into effect during latter half of 2013, was the most significant regulatory overhaul to expand coverage since the passage of Medicare and Medicaid (Social Security Amendments) in 1965. One of the key highlights of President Trump’s campaign was to repeal and replace the ACA, which he dubbed “broken.” Soon after he took over the Oval Office, he realized that complete overhaul of the law would be a lengthy and complex process, contrary to his promise of quickly instituting a completely new health law. Despite the significant advantage of Republicans controlling both House and Senate, President Trump’s bid to replace the ACA with the American Health Care Act, or AHCA, (essentially a variant of Speaker of the House Paul Ryan’s health plan), failed to see the light of day, with Ryan conceding defeat on March 24.

What went wrong with the American Health Care Act

The principal problem with the AHCA was that it was nowhere close to the promised repeal and replacement of the ACA, but essentially a stop gap plan. It was a contentious bill, which lacked widespread appeal. Key stakeholders and their objections included:

  • Almost all the large payers (except Anthem) were opposed to this law, as it would significantly reduce their enrollment base and, in turn, impact their top-line
  • Healthcare provider associations (such as the AHA, AMA, and American Nurses Association) also opposed AHCA, as it would put extra pressure on providers who are already reeling with bottom-line and revenue problems
  • Various consumer groups, including the American Association of Retired Persons (AARP), expressed concerns as the bill was not in favor of the sick and older populations that require healthcare services the most
  • Conservative Republican lawmakers (i.e., The Freedom Caucus) dubbed it Obamacare-lite.

The uncertain future for healthcare payers, providers, consumers, and IT-BPO service providers

The currently regulatory limbo has a cascading impact on each stakeholder group.

Healthcare payers

Health insurance companies are left with little clarity on their participation in the healthcare exchanges, which have become value-dilutive, and appear even shakier given the current administration’s disdain of the ACA. Large payers, including such as Aetna, Anthem, Cigna, Humana, and UnitedHealth have threatened to pull out of the exchange markets if the uncertainty is not resolved soon. There are theories that the executive branch could act independently of Congress to improve functionality of the individual insurance exchanges.

Healthcare providers

Failure of passage of the AHCA resulted in an increase in some of the leading hospital networks’ stock prices. This was primarily driven by the fact that the decline in enrollment, especially around Medicaid patients, has been delayed. Most of these hospitals improved their bad debt when their respective states expanded Medicaid, as hospitals became eligible for payments for patients who could not afford healthcare. While providers are relieved right now, uncertainty remains. They have struggled with high operating costs, thin margins, and talent issues, and these are only going to intensify.

Healthcare consumers

With the June deadline for submittal of initial rates for exchange plan fast approaching, some consumers may be left with limited health plan options, as some of large payers are hedging on exchange participation. At the same time, ACA plans have witnessed a resurgence in popularity.

Healthcare IT-BPO service providers

Service providers will have to deal with spending decision delays from both payers and providers as they look towards the new healthcare bill. We have already seen leading vendors face revenue headwinds. For example, Cognizant’s healthcare revenue grew by just a mid-single digit in CY2016 after a stellar performance in CY2015. Any new decisions around outsourcing will most certainly be deferred for now, whereas existing keeping-the-lights-on spend is expected to continue. Deal renewals are expected to be for shorter duration as buyers (both payers and providers) wait for veil of uncertainty to be lifted.

The road ahead for healthcare and global services

After this initial bruising, the Republicans are unlikely to give up without a fight. Speaker Paul Ryan recently mentioned that House Republicans will resume work on healthcare reform, but offered no timeline. This will be easier said than done, as GOP leaders need to overcome the deep divisions that ultimately led to the failure of the bill.

Healthcare policy requires hard work, and rushing through a half-baked plan such as the AHCA just won’t cut it. Obama spent over a year on garnering support for the ACA, and the new administration’s heavy handed attempt reiterates that there are no real shortcuts to the process. The GOP should regroup and take a fresh look at the problem statement.

The outcomes might have even greater implications on the global services market. Until then, buyers are likely to twiddle their thumbs and delay key decisions amidst the tremendous uncertainty.

Gazing into Everest Group’s Crystal Ball: Enterprise Technology in 2017 | Sherpas in Blue Shirts

It is that time of the year again when we channel our inner psychic about enterprise technology trends. We expect these secular technology trends to play out over 2017 and into early 2018.

  1. The beginning of scary AI democratization
    2016 seemed like the year Artificial Intelligence (AI), and its subset machine learning, turned the corner. A lot of this has been due to the cloud-enabled ease in advancing computing resources, a pre-requisite for AI/machine learning. Self-learning and “intelligent systems” give rise to a multitude of applications. Technology giants such as Amazon, Facebook, Google, IBM, and Microsoft are leading the way through dedicated groups and high-profile hires for advancing the AI mandate. As the technology looks for sizable scale, we are going see the “democratization of AI” help broaden access to its immense potential. For example, Elon Musk’s Open AI alliance released Universe, a software platform for measuring and training an AI’s general intelligence across games, websites, and other applications. Google’s parent Alphabet is putting its entire DeepMind Lab training environment codebase on GitHub. Microsoft is also taking a multi-pronged approach to help make its AI resources available to anyone via the cloud. Although these moves are aimed at catalyzing innovation, only vendors with real skin in the game and an inherent understanding of AI’s potential stand to benefit, limiting the impact system integrators can have via the typical operating model (which is focused on incorporating the latest buzz words in pitch decks and sales collateral). While this democratization will help people accelerate the time-to-value of their AI-enabled initiatives by avoiding the heavy lifting, it will lead to a certain level of commoditization as well. Since every solution will bear the AI tag, enterprises will find it hard to separate the wheat from the chaff. The AI market resembles the cloud wave from some years ago where there was a clot of “cloud-washing” versus “true cloud” implementations. Although the buzz around AI and machine learning is visible from the profile of its varied use cases – whether it is a hedge fund streamlining most of its operational tasks using algorithmic model from its employees’ brains or a law firm hiring an AI lawyer for its bankruptcy practice. Even outgoing U.S. president Barack Obama weighed in, reflecting the importance of AI in shaping our future.
  2. Conversational analytics to focus on engagement
    While conventional analytics – which sounds quite like an oxymoron – will still be viewed through the lens of reporting-descriptive-predictive-prescriptive, conversational analytics and engagement solutions will continue to receive a tremendous fillip. We have analytics engines where one can almost talk or query in human language. At an overall level, this theme represents an amalgamation of product design, natural language processing (NLP), AI, and the platform economy for the right user experience. In the consumer world, Amazon has made it a reality with the Alexa-powered Echo speaker/personal assistant, while Google is trying to replicate that through its assistant-enabled speakers. One particular use case – chat bot – is increasing exponentially, and is now beyond the realm of fancy to tangible use cases across multiple industries. While Facebook Messenger is the most mainstream (consumer-facing) example of these phenomena, there are various interesting experiments across Google (Allo), Microsoft (Tay, Xiaoice), Salesforce (NLUI Server Demo), etc. New conversational analytics offerings will take inspiration from chat bots, and also try to become context-aware for greater value tasks.
  3. SaaS mess becomes messier
    The enterprise applications market is going to witness more bloodshed as legacy and SaaS natives continue to battle it out for supremacy, further stepping on each others’ toes. While Workday leads its surge beyond the HCM domain to financial management, SAP and Oracle will put their considerable resources behind their cloud push. As these players (and others) continue to eat into each others’ pie, there will be an increase blurring of lines between segments and dilution of a unique value proposition. Also, large independent software vendors have confused the market by masking their hosted offerings as SaaS (read: more cloud-washing), which has increased the competitive intensity. Additionally, the SaaS-ification of everything has left the enterprise application landscape looking very messy. CIOs have a considerable governance and management issue when it comes to their app portfolio, upgrades, patches, visibility, usage, etc. You get a feeling that something’s gotta give, and there will be more consolidation among SaaS vendors in the race for market dominance and scale.
  4. Workplaces to move the needle on productivity versus just engagement
    The emergence of Facebook at Work and Slack, (among others), represents the true vision of what is often called the “consumerization of IT.” This refers to the confluence of consumer imperatives such as seamless user experience (UX), BYOD/CYOD convenience, and boundary-less communication within an enterprise IT framework. Digital technologies are reshaping the workplace of the future, while enterprise applications tend to be stuck in a bygone era. Slack/Facebook and their ilk aim to redefine this paradigm. Microsoft has also bought the bait, and launched Teams aka “Slack-killer” in November 2016 (selling it as a part of the Office 365 subscription suite). The focus of these changes has largely been on improving employee engagement, while focus on productivity has been diluted. We expect enterprises to focus more on productivity through differential strategies. Buyers tend to approach these policies in wide variance depending on their business and culture. Think Amazon, which abhors meetings and has a ruthless focus on execution, or Apple, which actively encourages meetings as ideation pods, coming from a culture which is obsessed with making the best products. Bringing machine learning into the mix can help coalesce people, organizational resources, and data. True that workplace collaboration and productivity seems almost unrecognizable.
  5. The automation tsunami will begin to gather speed
    Automation dominated headlines (and earnings calls) in 2016, as enterprises and their service partners alike realized the widespread implications of this technology wave. We believe that the impact on the jobs market is just starting as automation takes roots in mature people-intensive processes/functions. The short-medium kerfuffle will be focused on job losses and pricing pressures, with more pertinent questions around the fundamental nature of employment going forward. 2017 will continue to see similar headwinds, with the bulk of the bloodshed still a couple of years away. Beyond the immediate hullabaloo, the automation narrative is much more profound. While machines can already perform many forms of manual labor, the workforce needs to be reskilled/upskilled to remain relevant as the machines move toward more cognitive tasks. Contrary to popular belief, any wave of industrialization such as automation almost invariably leads to a redistribution in the profile of work, with employees focusing on higher value processes/functions. We are just getting started with the immediate pain that precedes an upward shift in the workforce. Unlike others waves of hyper industrialization, e.g., when cars were invented, there are less systemic problems for technology to solve. Riding this wave will require massive social changes in terms of organizational design, training programs, incentive structures, STEM education, demographic policies, etc.

While most of these themes are already playing out in certain shades, they will gather more wind beneath their sails as we dive into 2017. Although Niels Bohr presciently remarked that “prediction is very difficult, especially if it’s about the future,” we would love to hear what you have to say about enterprise technology in 2017 and beyond.

Looking Beyond the Hype – Healthcare in the Trump Era | Sherpas in Blue Shirts

Healthcare is one of the principal areas facing upheaval after Donald Trump’s U.S. presidential win last week. Beyond being a major socioeconomic issue (it does consume close to 20 percent of the U.S.’ GDP, which is ~2x that of any other developed country), it is also President Obama’s key legacy given his championing of the reform through the Affordable Care Act (ACA, dubbed Obamacare). Broadly, Trump’s proposed healthcare plan is likely to feature the following changes:

  • Partial repeal of the ACA (complete repeal is more likely to be political posturing)
  • More decentralization of public healthcare spending
  • Ceasing Medicaid expansion and changes to funding
  • Medicare reform
  • Broad implementation of free market principles to let “animal spirits” prevail
  • Prescription drug reform
  • Increased push for price transparency
  • Use of Health Savings Accounts (HSA), and allowing states to regulate health insurance
  • Ability to purchase insurance across state lines
  • Allowing premium deductions on  tax returns

Here’s how the cards stack up

Trumpcare

The good…

Commercial payers
Any kind of partial repeal or change to the ACA will actually be in line with what leading commercial payers have stated, given how broken and unviable the current HIX model is. Most C-suite execs indicate that such a repeal will make health insurance companies more competitive and more influential. This should bode well for large national payers such as Aetna, Cigna, and UHG, which have been bleeding money. This could provide a spurt to discretionary spend, which had seen a pause following mega mergers in the industry, Department of Justice injunction, and HIX losses. At a broader level, the Trump camp has proposed “following free market principles and working together to create sound public policy…” Some early reactions are calling this a welcome change that will allow free enterprise back into healthcare, and let patients, not government agencies, manage their health.

Medicaid-focused payers (states and managed care organizations)
Another key element will be the decentralization of healthcare, as Trump’s plan focuses on giving more Medicaid and other public spending power to states. Combined with the modularity mandate, (essentially breaking down state’s Medicaid Management Information Systems into smaller reusable components,) this is likely to give state health departments more bargaining power as prices decrease and competition – which in the MMIS market has been restricted to players such as CNSI, CSRA, HP, Molina Information Systems, and Xerox – intensifies. Also, managed care organizations (MCO) will benefit from the continuing shift away from state Medicaid.

Consumers
Trump has also recommended that Congress break down state barriers to allow insurance companies to offer plans in any state, as long as the plans are in compliance with state requirements. This should increase choices for consumers, and result in more competition. However, such an environment has not found much favor with payers struggling to manage the risk on their books, and will likely not find much with the challenge of entering new markets.

Life sciences firms
Most pharma and biotech stocks have soared in the past week, driven by Trump’s lukewarm stance on price regulation, as compared to Hilary Clinton’s more hawkish position on drug price reforms. Throughout her campaign, Clinton repeatedly vowed to limit the power of drug manufacturers, and suggested introducing monetary penalties to punish price gouging. The industry’s much maligned tax inversion practices have also ranked rather low on the president-elect’s agenda.

The not so good…

ACA
Despite the political posturing in the run-up to November 8, Trump/the GOP is unlikely to be able to fully repeal the ACA. It’s more likely that they will pursue a partial repeal through the budget reconciliation process, which allows bills related to spending and revenue to be passed by a simple majority, without being subject to a potential filibuster. Trump is likely to sign a bill similar to the one GOP lawmakers passed earlier this year as a counter-measure to the “failings of Obamacare/ACA.” Broad-based changes are likely to be equally, if not more, unpopular than the perceived problems with the ACA. Most of the market has invested considerable resources in reinventing their fundamental business models, and rolling back the clock is not really an option. The market will be forced into a period of uncertainty as stakeholders evaluate options amidst upheaval. While HIX plans have been value-dilutive for most payers, some such as Molina have made it work as a viable business model. However, the movements toward value-based care won’t be affected as the Medicare Access and CHIP Reauthorization Act (MACRA) and other reform tenets will continue it.

Consumers
Repeal of the Individual mandate may result in truncated consumer choices for coverage of pre-existing conditions, premium hikes due to reduced competition, and limited-benefit plans.

Medicaid
Any repeal would likely include the elimination of the ACA’s Medicaid expansion, insurance subsidies, individual and employer mandates, and several taxes that help fund the law, effective two years after the bill’s passage (this was vetoed by President Obama after the House and Senate earlier this year passed a partial ACA repeal bill through the reconciliation process.) Depending on how block grants play out, providers could experience a shortfall in government spending, and may need to rebalance their exposure to commercial payers.

Medicare
If the current GOP plan to transition it to a premium-support plan continues, there is likely to be a rise in financial uncertainty as payers’ reimbursements get linked to average versus submitted bids. This will further sharpen the focus on payers’ cost efficiency and optimization efforts to manage business models.

… and the uncertain

In most of these scenarios, we can only make an educated guess about what the Trump era means for healthcare. The next few months will be crucial in setting the tone for the changes to come – leadership appointments, policy moves, etc. The ACA seems to be the most contentious piece, and likely the first to be tackled by the administration. However, Trump’s public posturing will need to contextualized with the complexities of the legislative process to fully assess the material impact.

We would love to hear your views on how this will play out.

Digital Graveyard: Verizon Acquires Yahoo for US$4.83 billion – Why Amazon, Apple, Facebook, and Google Need to Beware | Sherpas in Blue Shirts

After a long, drawn-out, and scrutinized sale process, Verizon is acquiring Yahoo’s core operating business for ~US$4.83 billion in cash, marking a tumultuous fall for the once-iconic Internet giant, which once had a market capitalization exceeding US$125 billion. Verizon’s purchase includes “core” Yahoo, which spans search, email, advertising products, and the media business, including Yahoo Finance. It does not include Yahoo’s ~ 3,000 patents with an estimated value of over US$1 billion, which reportedly are being hived off through a parallel auction process. Beating out competing bids from a range of probables such as Advent International Inc., AT&T, Bain Capital, TPG, and Vista Equity Partners, the deal adds an important dimension to Verizon’s burgeoning digital media and advertising business, building on its 2015, US$4.4 billion acquisition of AOL.

Not surprisingly, numerous digital revolution themes are reflected in this deal.

  • The pace of disruption is unprecedented: We are increasingly witnessing companies achieving meteoric status, then being forgotten. While the demise of Blockbuster, Kodak, and RadioShack can be attributed to the innovators’ dilemma, fundamentally new technologies and consumption require companies to master the art of reinvention. Akin to running on a treadmill with a continually increasing pace or incline, being the poster child of one technology wave, even the Internet, is no guarantee of future relevance if you don’t reinvent and respond nimbly to market changes. Looking back at the history of the modern enterprise, there are only a handful of firms – think GE and IBM – that have reinvented themselves and continue to be relevant today. Verizon is prepping its arsenal as it looks to battle against the likes of Amazon, Facebook, Google, and Netflix for the fickle attention of an increasingly mobile consumer. It has made meaningful moves, but integrating AOL and Yahoo into its broader digital content and advertising narrative will be crucial for these bets to pay off.
  • Time-to-value is experiencing exponential contraction: The lifetime of technology companies (and enterprises in general) has shortened drastically. This has fundamental implications for business strategy, as modern leaders don’t have the luxury of time in the wake of quarterly Street expectations, fickle investors, intense competition, and extreme scrutiny. Companies need to stop overthinking about the long term, and instead focus on meeting shorter hurdles. There’s no longer room or relevance for a five-year horizon, as there’s no saying what the next wave of technology onslaught is going to be.
  • The law of gravity catches up: Yahoo, despite being ubiquitous during its heyday, is still a relatively young company born in 1995. Its downfall was hastened by the likes of Facebook and Google eating up the advertising pie. As the volume, variety, and velocity of competition keeps increasing, we may need to redefine the definition of long-term. For example, the common thread among Airbnb, Dropbox, Fitbit, Instagram, Pinterest, Slack, Snapchat, Spotify, Tumblr, Twitter, and Uber is that all are billion dollar companies (Unicorns) that didn’t exist 10 years ago. Yet, other than Salesforce – which started in 1999 and now has a market cap of over US$50 billion – most technology companies have failed to meaningfully scale, and have died a slow death or been acquired by a bigger fish.
  • Tactical re-engineering can only get you so far : Yahoo failed to adequately respond to challenges in its core business, and once caught off-guard, it responded with successive leadership changes (Marissa Mayer is its fifth CEO since 2009), employee layoffs (Mayer culled nearly 15 percent of the total workforce), and overvalued acquisitions made out of desperation (it bought ~58 firms since 2009, including Tumblr for US1.1 billion in 2013). None of these moves dramatically changed its fortunes, as they only tangentially addressed its core travails. Companies lacking a “real” asset will always be at risk. Yahoo, like Microsoft to a certain extent, missed the bus on social, mobile, and cloud. While Microsoft has belatedly begun to make amends under Satya Nadella, Yahoo remained stuck in a bygone era, underscoring the importance of looking out for future trends and placing bets early.

Going forward, we expect other marquee tech companies to also face the heat, whether it’s Apple trying to tackle plateauing iPhone sales, and perhaps pivoting to a rising enterprise business, Facebook/Google endeavoring to increasingly monetize their saturating mobile advertising moats, or Twitter attempting to answer its user acquisition dilemma. The future is uncertain, and there are no longer clear winners in the digital era.

Slack and the Future of Enterprise IT | Sherpas in Blue Shirts

Unless you’ve been living under a rock, you would have heard of Slack. It is not another enterprise collaboration application. It merely aims to redefine how organizational communication takes place and upstage this little thing called email. As far as start-ups go, the company has witnessed a meteoric rise. In its most recent round of funding in April 2016, it raised US$200 million at a post-money valuation of US$3.8 billion (with an annual recurring revenue of US$64 million last year), which is all the more impressive when you consider that it launched just three years ago and has raised almost US$540 million. An incredible amount of money at a time when VCs are supposedly tightening the screws and we are witnessing a ‘correction’ in the investment climate. To Slack’s credit, it has built an incredibly popular platform. In May, it reached a significant milestone when it announced three million Daily Active Users (DAUs; a much revered metric of app usage vs just installs) and two million connected users. It has grown at breakneck speed – less than a year ago, it had one million DAUs, and in October 2015, one million connected users.

The changing face of enterprise IT

Slack is built on the premise of seamless communication in an increasingly complex enterprise world across platforms, teams, and applications. It has 430 employees and counts NASA, CNN, LinkedIn, Harvard, McKesson, Ogilvy, and Spotify as enterprise customers. Slack represents the true vision of what is often referred to as “consumerization of IT”. It refers to the confluence of consumer imperatives such as seamless user experience (UX), BYOD/CYOD convenience, and boundaryless communication within an enterprise IT framework. Digital technologies are reshaping the workplace of the future while enterprise applications tend to be stuck in a bygone era. Slack, and its ilk, aim to redefine this paradigm. Slack, in particular, aims to make messaging the primary form of communication among co-workers. As an illustration, they can place documents saved in Dropbox into their chat streams, collaborate on revisions and assign tasks without leaving Slack, and search previous conversations and files. It also has fully native apps on iOS and Android with syncing across devices.

This is a far cry from current legacy enterprise collaboration applications, which have seen their fair share of experiments. The most high-profile one was probably Yammer, which was sold to Microsoft in 2012 for US$1.2 billion. One primary reason why Yammer has not scaled as hoped is that it still operates as a separate tool from the rest of the enterprise workflow, much like the IM tools that came before it, which also fall short of meeting the requirements of digital enterprises. Microsoft has tried to salvage its Skype bet with the integration of Lync (now Skype for Business), but the jury is still out on it.

Peers of Slack (Campfire, HipChat, Skype) can copy its core features, but the implications of its network effect and ecosystem of integrated apps/chatbots are quite profound. It meaningfully differentiates on the basis of its pricing models as well. While other SaaS providers typically charge on a per-user basis (regardless of how many users actively use the software), Slack tweaks this to activity-linked pricing. For example, with other applications, if you buy 1,000 seats but only use 100, you still get charged for 1,000. Slack, on the other hand, will charge on the basis of how much it is actually used (say number of messages exchanged).

Challenges and the road ahead

That’s not to say Slack is not facing intrinsic issues. The enterprise version of the software was initially delayed and there are reports that ride-hailing company Uber dropped Slack because it couldn’t handle the number of communications it required. Scaling from micro-teams to coordinate multiple Slacks in a large organization has been a problem. As Slack aims to replace email as the standard of organizational communication, there is a very likely danger that it might end up having the same problems that have made modern-day communications so tedious and sub-optimal. Execution will be a key area of scrutiny. There are very few industries where companies experience this type of hyper growth, especially on the enterprise IT space, so managing the pitfalls become all the more tough.

To Slack’s credit it has not displayed a lack of ambition when it comes to pivoting its future, which clearly needs to be a platform-based play for any meaningful and scalable business model to emerge. The goal now will be to turn its software into a platform that integrates with other software so that a user can accomplish all enterprise objectives inside the ecosystem and thereby create stickiness. To further this ambition, Slack announced an US$80 million investment fund in December for developers to build apps that integrate with the platform. Right now, the Slack Platform consists of a new Slack App Directory (with ~160 apps), a Slack Fund (to invest in new apps), and Botkit (a new framework to easily build new apps). As Slack scales up its aim to be a ubiquitous SaaS ecosystem, it can unlock a significant opportunity by becoming the identity layer of the enterprise. This is similar to the intent Microsoft is driving toward with the US$26.2 billion acquisition of LinkedIn. Ultimately, if Slack’s platform picks up, it can drive other services such as single login and identity access, effectively serving as the singular identity provider for an employee across the enterprise ecosystem. Slack has the momentum and intent on its side to redefine the enterprise application paradigm, and it’s hard to see anyone else (apart from Microsoft) having a bigger opportunity to succeed.

Lessons from the Dark Side of the Healthcare Industry: Spotlight on Theranos | Sherpas in Blue Shirts

The ongoing saga of Theranos reached a nadir last week when Walgreens decided to terminate its relationship with the once-hot healthcare start-up looking to transform healthcare diagnostics one blood test at a time. For the uninitiated, Theranos claims to have developed a highly disruptive means of conducting blood tests, wherein it could quickly process more than 240 lab tests, ranging from cholesterol to cancer, with just a finger prick of blood. However, these claims have come under immense public and regulatory scrutiny, following an investigative article in the Wall Street Journal last year.

In this day and age, when start-ups are the new conglomerates, revered and reviled in equal measure, this suspicion would typically not lead to such outrage, But Theranos is not an ordinary start-up. Its story was written in start-up heaven. It touted a path breaking innovation that could have revolutionized the field of healthcare diagnostics. In 2014, it raised over US$400 million, and was valued at $9 billion, with 50 percent owned by its enigmatic founder CEO – Elizabeth Holmes – a dynamic entrepreneur who has modeled her persona on Steve Jobs. Her own star rose with the fortunes of Silicon Valley’s latest unicorn. She was ranked 110 on the Forbes 400 in 2014, and topped Forbes magazine’s list of “America’s Richest Self-Made Women” in 2015 with a net worth of US$4.5 billion. On June 1, 2016, Forbes revised its estimate of Holmes’s net worth… to zero. Theranos is now being investigated for fraud, facing possible federal sanctions, a criminal probe, and imminent class action lawsuits. Regulators have proposed banning Holmes from her company for two years.

There are lessons aplenty from this topsy-turvy tale. Given the scale and pace of innovation required to transform the U.S. healthcare ecosystem, it’s valuable to take a look at key learnings from the Theranos saga.

When just a Minimum Viable Product (MVP) won’t do

Theranos used finger prick blood samples to conduct tests. Medical experts are of the opinion that this blood may not be as pure as the traditional vein sample, as the blood mixes with fluids from tissues and cells. This fact was completed ignored by Theranos.

Theranos developed a blood testing device called Edison. While undergoing tests to prove Edison’s accuracy to the Centers for Medicare and Medicaid Services (CMS,) Theranos fraudulently performed most of the tests using a traditional Siemens machine rather than its own device. Theranos also diluted the samples to match the specification of this machine, which resulted in inaccurate test reports. The underlying technology was at best in the development stage. Every start-up in the healthcare space needs to ensure that its business model and technology behind it are robust before full-scale deployment.

Customer loyalty – hard to get, harder to retain

Customers are typically much more invested in a healthcare purchase than, say, a retail purchase, mainly because of the grave ramifications. Hence, it is particularly important for healthcare providers to earn the customers’ trust. There have been instances of lab reports from Theranos being completely off the charts, or totally inconsistent with patients’ history/health. The company’s response to such reports was characterized by hubris rather than empathy – it did not take any step to rectify the errors. Ultimately, customers lost trust in the company.

Even its own employees felt something is amiss. When a Theranos employee wrote to senior management pointing to inaccuracy in test results, she was fired immediately. Instead of investigating and making things right, the company took an autocratic approach. A few employees blew the whistle, and reported wrong doings to regulatory authorities. This opened the proverbial can of worms for Theranos.

Governance, risk, and compliance – transparency is key

The belief in innovation was so ingrained that investors and partners remained oblivious to warning signs. The company made bold claims, but kept its technology secret. When Walgreens executives visited, they were not permitted into a lab to examine data. Yet the drugstore chain, in a rush to strike a deal, went ahead investing US$50 million with the plan to dispense Theranos blood tests at thousands of its locations. All the while, favorable media coverage failed to acknowledge the stark absence of scientific studies reaffirming the device’s credibility.

The Theranos tale is a revelation on multiple counts – a hype-fueled venture investment climate, fundamental loopholes in business/technology models, lack of transparency, adulatory technology reporting/spin – all of which are symptomatic of Silicon Valley today.

Today’s pace of disruptive innovation needs to be counterbalanced with robust fundamentals. The healthcare industry is in dire need of breakthrough innovation to tackle the three Cs – consumerization, cost, and compliance. Against this backdrop, Theranos should be treated as a reality check to rectify endemic inadequacies, but not to stifle innovation.

HIMSS16 was all about getting real when it comes to healthcare IT | Sherpas in Blue Shirts

Before heading out to HIMSS16, I wrote about five themes I expected to dominate conversations at healthcare’s seminal event. It was interesting how a mix of those themes (and sometimes all five of them) figured into almost all of my meetings in Las Vegas. As I look at where the healthcare and life sciences market is headed in 2016-2017, there are a few secular changes dictating the technology mandate.

Please proceed with caution, as any attempt at synthesizing the narrative at an event of such scale can be ominous (and foolhardy in equal measure), but here goes:

Population health and patient engagement are finally coming into their own

Finally, care providers and vendors are talking about what an effective pop health or patient engagement actually represents, beyond ad-hoc individual investments. The need for having a coherent and thought-out strategy couldn’t be more pressing. CMS’ value-based goals have provided an increasing impetus to advancing the state of pop health programs to encompass a range of channels (mobile/social/self-service), enablers (big data & analytics, CRM, and EHR), and care dimensions. CMS has set a goal to have 50 percent in categories 3 and 4 (value-based care models including alternate care and population-based payments) by the end of 2018. I was a part of an insightful and interesting roundtable event hosted by Xerox (recapped here by Dr. Tamara StClaire, Xerox’s Chief Innovation Officer of Commercial Healthcare) on value-based care, which highlighted the principal issues regarding the definition and actual adoption of population health.

The 2016 elections has everybody on their toes

Merill Goozner, Editor of Modern Healthcare, had an interesting tidbit amidst all the election frenzy in the States. After Super Tuesday last week, the #1 Google search term in the U.S. was “moving to Canada.” The absurdity of the election season aside, it highlights an important realization of Trump’s ascendancy as a serious challenger. What either of the political choices mean for the ACA or universal health coverage is up for debate (no pun intended,) but we are in for some uncertain times. Payers are putting off some spending on health insurance exchanges looking for more visibility into future policies, providers are taking a wait-and-see approach on some discretionary spending, and pharma companies are taking a measured approach to see how the drug pricing debate plays out.

Interoperability becomes real … well almost

HHS secretary Sylvia Mathews Burwell announced the interoperability pledge during her HIMSS16 keynote address. “We need to do better to unlock data,” she told attendees. She kicked off proceedings with a pledge from 17 major health IT developers, 16 large healthcare provider organizations, and 17 healthcare associations and medical societies to promote patients’ access to their own EHR, avoid information-blocking, and use federal standards to promote interoperability. The need to speak the same language when it comes to EHR and patient data is now a part of the discourse. I had interesting conversations when it comes to the openEHR Foundation as well. Everest Group covered the EHR space and the problem with the oligopoly in an earlier blog.

The cool stuff is good, but let’s talk about the nuts and bolts please

We live in an era where it is easy to end up drinking your own Kool-Aid and buying into the infinite buzzwords being peddled in the market. In recent years, we have had a slew of buzzwords circling all conversations about healthcare – analytics, big data, personalized medicine, population health, interoperability, and consumerization of healthcare. The single most significant change in my opinion has been the shift from discussing these themes to what they actually mean for a healthcare market in an existential transition. Peeling the onion, if you will.

So instead of focusing on just a social media campaign, healthcare buyers are increasingly coming with problems that involve resolving multiple instances of a CRM/EHR system residing in the organization, cleaning and unification of patient data across multiple sources to obtain a 360 degree view, getting disparate information silos to talk to each, and rationalizing infrastructure – real housekeeping issues. This, in a way, symbolizes the demand profile at the peak of the IT outsourcing boom. IT is crucial to getting this enabling layer together to be able to meaningfully run a pop health initiative.

What’s your viewpoint on these issues?

Five Themes I Expect to Dominate at HIMSS16 | Sherpas in Blue Shirts

It’s hard to believe that the 2016 HIMSS Annual Conference & Exhibition is upon us! Being held in Las Vegas on February 29 – March 4, it is the largest healthcare IT conference in the world bringing together 40,000+ health IT professionals, clinicians, executives, and vendors. And with more than 1,300 healthcare IT vendors occupying over 1.3 million square feet of space (the equivalent of 22 NFL-sized football fields) in the Sands Expo, it will be easy to get lost physically and in the multitude of discourse and chatter that will be going on.

As I look at the healthcare and life sciences IT space heading into 2016, I expect the following five themes to rule the roost at HIMSS 16:

  1. Mega mergers, middling impact for providers

Big healthcare client mergers are underway, and they will cause fluctuations in IT services demand. Major IT services clients in the healthcare vertical are pursuing mergers – e.g., Aetna acquiring Humana; Anthem acquiring Cigna; and Centene acquiring Health Net. While awaiting regulatory approvals (which could take until the second half of 2016 or longer) and consummation, these mergers will affect IT services demand growth in this market segment – entailing pull back on awards of new IT services deals, and stalls on previously-planned scope – in turn potentially detracting from revenues previously expected by IT services firms. We have already seen market leaders such as Cognizant raise concerns over possible downward demand pressures arising out of this temporary pause in spending. After merger consummation, a ramp in merger-integration work could enhance consulting demand. Yet longer-term, existing outsourcing revenues from the combined organizations are prone to be truncated. That said, well-positioned IT services firms could capitalize by achieving client merger-induced share gains.

  1. Will the real patient engagement please stand up?

Patient engagement, population health management, and customized/targeted care have all been doing the rounds in the last couple of years. However, our assessment of the state of patient engagement maturity mandates suggests that most providers lack a coherent strategy. More often than not, care providers conflate ad-hoc and siloed patient-facing initiatives, such as a patient portal or solitary mobile app, as true patient engagement. This couldn’t be farther from the truth. These attempts don’t meaningfully move the needle on patient engagement, and give care providers a false sense of hope and progress. In 2016, health systems and payers will – hopefully – realize that to actualize the patient engagement mandate, they need to constitute a coherent, thought-out strategy that encompasses organizational maturity, culture, multi-pronged initiatives (spanning care management, operational support, internal IT, and omni-channel access), and effective governance mechanisms to keep these disparate moving parts together.

  1. Data security: keeping healthcare CIOs on their toes

Healthcare industry tailwinds such as big data, BYOD, EHR/EMR, networked devices, mHealth apps, cloud-based technologies, and IoT are adding to the healthcare information security conundrum. There has been a manifold increase in the complexity of managing information assets, specifically Electronic Protected Health Information (ePHI) and IP. The data sharing requirements for the Meaningful Use program and the Affordable Care Act will only compound the security challenges for healthcare organizations. The frequency, severity, and velocity of cyber-attacks have increased, leaving stakeholders shaken in the absence of adequate response and protection systems. Although CIOs often list security as a priority, historically it has not translated into actual meaningful spending on security initiatives. However, we believe now is time for Chief Information Security Officers (CISOs) to take their place in the sun. Per a 2015 survey conducted by Everest Group spanning over 200 senior healthcare IT stakeholders, more than 90 percent view data security as the key IT challenge, higher than any other pressing concern about their IT portfolio.

  1. Drug pricing – the Goldilocks syndrome to the rescue?

Thanks to Martin Shkreli, concerns over drug prices dominated the public discourse last year. For the uninitiated, Turing Pharmaceuticals, headed by Martin Shkreli, was widely condemned for raising the price of Daraprim, a drug used to treat HIV patients, by 5,000 percent from $13.50 to $750 per pill. Price increases for branded drugs have outpaced inflation every year since 2006. Even generics prices increased by an average of 9 percent in 2014. The federal government is investigating Turing Pharmaceuticals’ and Valeant Pharmaceuticals’ drug pricing strategies. In a U.S. election year, Big Pharma will be under tremendous pressure to lower drug prices, which could potentially affect new innovation funding. Presidential candidates, Democrats and Republicans alike, have drug price proposals, further intensifying the spotlight on the issue.

  1. 2016 Presidential elections and the fight for universal healthcare

Both parties in the U.S. presidential race have a number of healthcare proposals on the table. With the high-profile tax inversion mergers by pharmaceutical companies, rising medical costs, and high drug prices, healthcare will remain a key issue throughout the political campaign. This battle will stretch to the Congress as well, given the Senate’s recent passage of a bill that would dismantle core elements of the Affordable Care Act. While a full repeal looks unlikely, parts of the act are still under attack, and the mudslinging is likely to continue through 2016.

I look forward to interesting discussions on these and other topics with clients and the broader vendor community during #HIMSS16. If you’re there in person, feel free to contact me!

Enterprise Technology 2016: What Will and Won’t Happen| Sherpas in Blue Shirts

Now that the dust has settled from the New Year frenzy, it is a good time to channel our inner psychic and do some crystal ball gazing about enterprise technology trends. Following are the technology trends that we see playing out in 2016 and into early 2017.

  1. Customer centricity and UX are king

The fundamental disruption being caused by consumerization of the enterprise IT has profound implications on how organizations approach the user experience (UX). As consumers’ expectations and benchmarks for next-generation channels evolve, UX is key in enabling the digital mandate. This translates into an enhanced focus on superior design, collecting data (user behavior, regional preferences, A/B testing, and demographic information), and personalizing content. Design coupled with the appropriate tracking/monitoring will be crucial in driving meaningful engagement through a personalized UX. While global technology providers have generally lagged in bringing UX and design thinking into solutions, this is changing. Whether it is Accenture (per its 2013 acquisition of Fjord), Infosys (with AiKiDo, its next generation services in Design Thinking), or Wipro (via its 2015 acquisition of Designit,) service providers have started looking outside their organizational set ups to develop these capabilities through M&As, acqui-hiring and setting up separate business units, often outside their P&L play.

  1. Open APIs to catalyze innovation

 Numerous examples of unlocking barriers to provide open access to APIs to catalyze innovation, gain developer trust, and accelerate the pace of use-case creation emerged in 2015. For instance, in September IBM acquired StrongLoop, a provider of popular application development software (enterprise Node.js) that enables software developers to build applications using APIs. In November, IBM launched API Harmony with cloud-based API matchmaking technology for developers. It also opened up access to IBM Watson’s cloud-based API. In an attempt to woo developers, Salesforce announced App Cloud, which integrates its existing Force, Heroku Enterprise, and Lightning services to create an interactive learning environment for “citizen developers” creating Salesforce apps. Apigee, a company that helps organizations build and manage API connectors, went public in April 2015, and its revenues and margins are performing well. It has also witnessed traction with large enterprises such as AT&T, Bechtel, Sears, and Walgreens, to name a few. Given how crucial APIs are to advancing innovation and enhancing the digital experience, we’ll see many more technology companies jump on the open API bandwagon.

  1. DevOps, ITOps, NoOps, and ShadowOps, will continue to slug it out

The emergence of new operating paradigms continues to transform IT operations. DevOps, the latest, promises quick and reliable unified development and operations to meet business needs. Then there’s conventional ITOps, and NoOps, an extension of DevOps wherein developers take over all responsibility for processes such as architecture design, capacity planning, performance optimization, etc. In the absence of a clear winner in 2016, there will continue to be various shades of these methodologies in place across various industries/organizations, depending on maturity of IT set up, specific needs, business constraints, regulatory requirement, etc. DevOps adoption will continue to struggle to move beyond lip service as organizations grapple with challenges related to change management, restructuring, talent, and governance to manage complex IT environments.

Read our previous take on DevOps

  1. IoT – Let’s cut to the chase, shall we?

The conversation about the Internet of Things (IoT) will move beyond just sensors and connected devices. We have already begun to see the emergence of new business models such as Printing-as-a-Service, Home Automation-as-a-Service, Blood Tests-as-a-Service, Transport-as-a-Service, etc. IoT and the connected world have made these individual products into continuously evolving prototypes that can be enhanced through over the air updates, thereby introducing new features. Connecting various disparate products will lead to improved analytics and, therefore, better forecasting and customer experience, highlighting new possibilities for IoT-based value creation.

  1. Security: CISOs step up to the plate

It is time for Chief Information Security Officers (CISOs) to take their place in the sun. After years of CIOs treating security as a hygiene checklist item, recent high-profile data breaches and global cyber warfare have placed the spotlight firmly on cybersecurity. Our digital services research indicates that 70 percent of enterprises believe cybersecurity is a major concern in their digital journey. Cybersecurity initiatives also rank as the second most important among digital enablement priorities. In the single biggest affirmation of this change, the White House announced on 9 February, 2016, that it is seeking to hire its first Federal Chief Information Security Officer as a part of a new Cybersecurity National Action Plan. As security takes a seat on the board, enterprises will start treating cyber risk at par with financial risks. CISOs should see budget approvals getting easier as they look to revamp cybersecurity preparedness, enhance audit and governance controls, and shift the focus from prevention to mitigation. Security will gain a more prominent place in public discourse in the context of 2016 U.S. presidential elections (you may recall that attackers targeted both presidential candidates’ websites and emails during the 2008 and 2012 elections.)

Enterprises need to take a hard-nosed look at their technology spend and realize that the walls between business and IT need to break down. All aspects of IT – application development, maintenance, testing/QA, infrastructure – are getting aligned to specific business outcomes for greater visibility, predictable demand, enhanced governance, risk mitigation, and audit control.

These themes are already sweeping the global technology landscape, and will only gather steam as the year progresses. We would love to hear what you have to say about enterprise technology in 2016, and beyond.

Will Corporate Venture Funding Lead to the Death of VCs as We Know Them? | Sherpas in Blue Shirts

For some time now, large companies have shied away from corporate venturing, unsure of returns and/or efficiency of capital usage. Enterprises have seen their venture initiatives fail, and many give up hope quickly after initial enthusiasm. Even corporates that have managed to run successful funds have struggled to monetize their leveraged investments as they scale up. Given these challenges, it’s not surprising that enterprises with large, under-utilized cash piles chose to maintain the status quo, rather than invest in an emerging startup economy.

However, we’re starting to see a significant change in the funding landscape. This week, Google announced plans for a new operating structure that effectively makes the eponymous search engine giant a subsidiary of a new holding company, Alphabet. One of the main driving rationales for this decision was to delink Google from other ventures in which the parent organization is involved, and give it more room to experiment with new ideas. After all, Google has diversified into areas including life sciences, drone delivery, space research, and home automation.

Last month, Workday, the enterprise SaaS poster boy, announced Workday Ventures, the company’s first strategic fund focused on identifying, investing, and partnering with early to growth stage companies that place data science and machine learning at the core of their approach to enterprise technology. In June 2015, Intel Capital led a US$40 million Series D investment in Onefinestay, best described as a luxury Airbnb competitor. And other corporate venture funding efforts have figured prominently in the recent hyper-competitive boom in the deals landscape.

Corporate VCs don a new avatar

Corporate venture funding has taken a new lease on life, and aroused widespread interest, notably in The Economist and Harvard Business Review. This is not without reason. AMD, Dell, and Google are technology giants with early venture funds, and firms such as Microsoft and Salesforce made similar moves later. A CB Insights study on corporate venture investment trend found that corporate venture capital activity witnessed a significant uptick in 2014, with deals by corporate venture arms jumping 25 percent YoY and funding rising 76 percent. The most active corporate venture investors in 2014 among technology companies were Cisco, Comcast, Google, Intel, Salesforce, Qualcomm, and Samsung, underscoring the attention being paid to this route.

In terms of exits by corporate venture investors, technology players again emerged on top, led by Google Ventures (OnDeck Capital, Hubspot, and Nest Labs), Intel Capital (Yodlee, [x+1], and Prolexic Technologies), and Samsung Ventures (Fixmo, Cloudant, and Engrade), and Qualcomm (Divide, MoboTap, and Location Labs). The marquee corporate venture deals in 2014 were Cloudera (US$900 million, led by Intel Capital), Tango (US$280 million, led Alibaba), and Uber (US$1.2 billion, led by Google Ventures). The chief areas of investment include Internet of Things, analytics, security, and platform technologies.

Differences between corporate venture funding and conventional VCs
  • While VCs tend to focus on growing portfolio companies and time their exit from a ROI standpoint, corporate venture funds take a strategic view of investments, and look to use their expertise to guide start-ups
  • Acquisition of portfolio companies is not uncommon for corporate venture funds (e.g., Google Ventures – Nest Labs). Funding a startup and acquiring it later, rather than building one organically, makes for a stronger business case. Traditional VCs frequently work with the intention of taking investments public
  • Corporate venture funds are less risk-averse than conventional VCs, given their deep pockets and long-term position. This is also reflected in their higher involvement in seed funding rounds
  • Typical VCs tend to lag corporate venture funds in terms of average deal size or term, also due to corporates’ deep pockets and long-term holdings
  • Corporate venture funded start-ups tend to go public more often than their VC portfolio peers

 

Strategic technology investment or desperate spend?

Given improved macroeconomic confidence, there is a lot of “easy money” floating around the technology continuum. And this is beginning to result in a “perpetual investment bubble.” While this isn’t to say that doomsday is just round the corner, with everything and anything getting funded (does anyone remember Yo?), utility, monetization models, and future relevance seem to be the last things on investors’ agenda. More often than not, there is a fine line between a blunder and a brilliant bet. Everyone and anyone in this easy dollar-fueled utopia tend to be under the messianic illusion that the next multi-billion dollar bet is around the corner and will change the world. Most players tend to add incremental value over existing processes, systems, and interfaces, rather than changing them as we know it, which is the reality of investing.

Given their tremendous business acumen, corporate funds have talent, skill set, pedigree, and, ultimately, deep pockets to exist and thrive in a volatile knowledge economy as they look to identify and nurture a truly revolutionary idea beyond just incremental technology value. That said, there is likely to be significant churn once the rose-tinted glasses come off. Still and all, with the strategic depth and domain guidance large enterprises can provide, their portfolio companies are likely to be better positioned to ride the wave.

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