Tag: clinical trials

The Changing Face of the CRO: Becoming the Everything Store for Decentralized Trials | Blog

On February 24th, 2021 we saw an announcement of one of the largest mergers/acquisitions that the CRO space has ever witnessed. ICON, the Dublin-based global CRO, announced that it has entered into a definitive agreement to acquire rival North Carolina-based PRA Health Sciences in a deal valued at US$12 billion. The deal, which makes the combined entity the second-largest CRO, next only to IQVIA (itself a merger of IMS Health and Quintiles), is one of the many instances of the rapidly consolidating CRO industry, accelerated by COVID-19.

Pushing the gas on decentralized trials

While there are a lot of potential synergies in this acquisition, such as minimum overlap in terms of geography, deeper therapeutic capabilities, and broader service offerings, one important takeaway from this acquisition echoed by Dr. Steve Cutler, Chief Executive Officer of ICON, is the shift towards Decentralized Trials (DCTs).

With decentralized trials gaining importance, thanks to the pandemic, there has been an increasing focus from CROs to shore up their capabilities and develop an integrated solution. For instance, Bioclinca and ERT recently announced a merger that enabled the combined entity to provide holistic solutions in eCOA, imaging, and clinical trial management solutions. ICON, through this acquisition, has set out to achieve an integrated offering in DCTs as well. It seeks to combine its home health services, site network, and wearables technology with the mobile health and connected health platforms and other real-world data solutions from PRA Health Sciences.

Becoming the everything store for decentralized trials

Traditionally, a CRO was considered a business process service provider, managing trial operations in regulatory, safety, and clinical conduct. Very few offered technology solutions along with business process services as this was often considered the forte of product vendors such as Oracle Health Sciences and Medidata. However, with the pandemic halting clinical trials, stakeholders analyzed how to restart paused clinical trials by virtualizing certain components of the trials through some short-term fixes, such as use of eConsent and eCOAs solutions, resulting in an uptick in DCTs.

Initially, partnerships had been the preferred route for CROs to support DCTs, for example, the Covance partnership with Medable wherein Covance’s patient and site interface would be powered by Medable’s DCT offerings. However, the recent M&A activity suggests that CROs are now considering adding product capabilities to enable DCTs by acquiring product players (such as what Bioclinica did with ERT) or by acquiring CROs with strong technology capabilities to support such trials (such as ICON and PRA Health Sciences). The result – offering a one-stop-shop solution to support DCTs, as highlighted in the visual below.

Figure 1: A one-stop shop solution for supporting decentralized trials

A one-stop shop solution for supporting decentralized trials

The advantage of such an integrated solution is that it augments the CRO’s value proposition to conduct DCTs – integrating platforms, services, site networks, and data capabilities, all into one place. Such CROs can now provide patient recruitment, engagement, and retention services (which has traditionally been their stronghold) using the underlying DCT suite through which the patient can enroll, record clinical outcomes, and engage in video consultation with the doctors/physicians. Additionally, they can also provide auxiliary support services, such as the provisioning of devices used for remote patient health monitoring and offering home nursing services aimed at reducing or eliminating patient visits to trial sites, medical record review services to check for completeness, accuracy, and compliance of medical data, and remote CRA services to oversee the DCT.

Implications for CROs

While, at first, the advantages of an in-house DCT suite seem to improve the value proposition for the CRO, it is also pertinent to note that in this scenario, CROs are also competing directly with DCT product vendors such as Medable and Science 37. The key challenge for CROs would be in convincing clients who still hesitate, while adopting technology offerings given their business process services heritage.

CROs aiming to walk down the acquisition path should keep the following pointers in mind:

  • Innovate or perish: CROs would be competing directly with product vendors – an industry notorious for innovation. Investments aimed at improving the product quality, product enhancements, and fixing issues would be critical to win client trust
  • Incorporate success stories: Showcasing client success stories and case studies will reduce client hesitation to adopt the one-stop DCT solution and drive increased product uptake
  • Offer innovative commercial constructs: Traditional ways of contracting (for example, per study or volume-based constructs) may not work with DCTs. While offering clients a BPaaS construct, check for risk-sharing agreements as clients appreciate vendors who showcase skin in the game

Looking into the crystal ball

The DCT space is ripe for disruption and the string of M&A activities shows the increasing emphasis that CROs are putting on DCTs. As efforts to improve the value proposition intensity and innovation ensue, the industry can expect more tuck-in acquisitions and even some mega-mergers, such as ICON and PRA Health Sciences, to continue well into the future. What are your thoughts on this? Let us know at [email protected] and [email protected]

The 2020s Will be the Decade of Virtual Clinical Trials | Blog

Virtual clinical trials – wherein trial data is collected through sensors or remote monitoring devices carried by the patient – can deliver many benefits to pharmaceutical companies, including cost savings, better patient recruitment and retention, and improved data quality.

In 2011, Pfizer conducted the first-ever randomized clinical study that managed participants using mobile phones and the internet. Over the next few years, the virtual approach waned because of limited success stories and the considerable upfront capital investment required for sensors and platforms.

However, with recent technological advances, the proliferation of wearables (smartwatch shipments have doubled in the past several years), and the FDA’s urging clinical trial sponsors to keep their research ongoing via telemedicine in the wake of the COVID-19 situation, the clinical trial landscape is ripe for disruption by virtual trials.

Indeed, as a bellwether of growing viability, the first virtual trial conference was conducted in December 2019. During the two-day event, the key discussion points were understanding the decentralized model, regulatory challenges for virtual trials, and ensuring compliance for such trials.

Enter technology companies and Big Tech

To build momentum and drive synergies, pharma companies have started to partner with technology companies to test the virtual trials model. For example, in 2018, Novartis, Sanofi, and UCB individually partnered with Science37, a tech company focused on patient-centric models for clinical research, on patient-friendly clinical trials at home. Boehringer Ingelheim followed suit in 2019.

Numerous startups that address some aspect of virtual trial requirements have emerged. For example, VirTrial, a telehealth platform that allows pharmaceutical companies and Contract Research Organizations (CROs) to create patient-centric trials by replacing some in-person visits with virtual visits, was founded in 2018. Since then, it has ramped up its capabilities and expanded internationally across 31 countries. Also in 2018, IQVIA, a leading CRO, enhanced its portfolio by launching virtual research solutions aimed at patient-centric trial design and execution. And today, numerous companies, including Clinpal, Covance, Medidata, ObvioHealth, PRA Life Sciences, and Transparency Life Sciences, boast their own virtual trial platforms.

Not wanting to be left out of this highly lucrative market, the Big Tech players are also exploring additional opportunities. For example, Apple, Best Buy, and J&J recently collaborated to launch a virtual study to gauge whether the Apple Watch could help reduce a person’s risk of stroke. Apple has also been involved in this space through its ResearchKit, an opensource software tool for medical researchers, doctors, and scientists to collect data on people suffering from diseases. Similarly, Verily, a Google sister company, has teamed up with pharma majors to modernize clinical trials and improve patient engagement and recruitment, and aggregate data from wearable devices.

Technological advances

Of course, much of virtual clinical trials’ success lies in the strength, viability, and rigor of the technologies that support them. The picture below shows the technologic interventions that enable the virtualization of a clinical trial.

Technologies that enable the virtualization of clinical trials

And fortunately, the above technological interventions speed up patient recruitment, improve patient adherence and monitoring, and eliminate data siloes by having a single source of truth in the cloud – ultimately enabling a smooth and virtual experience during a trial.

The road ahead

Delivery model and technological advances and co-innovation among stakeholder organizations have set the stage for trials to transition from traditional to virtual. Technology players are more capable, risk-tolerant, and knowledgeable than before, leading to increased trust and synergies with pharma companies. While pharma companies are resorting to the motto of “fail fast, win cheap,” virtual trials hold great promise to revolutionize the trial landscape. And what better time than now, when the field is ready, and the fruit is ripe?

The Future of Life Sciences Clinical Trials: Take-Aways from Medidata NEXT | Sherpas in Blue Shirts

Now in its 12th year, Medidata NEXT brings together several thousand life sciences professionals across seven global events to discuss the future of clinical trials. Here are my take-aways from the New York City edition, which occurred over two days in late October.

  1. Clinical + commercial data is the future: As the life sciences industry moves toward outcome-led business models, companies can unlock significant value by collapsing the silos between clinical and R&D and sales and marketing. Bringing together commercial and clinical / R&D data allows them to generate more meaningful insights into patient behavior and preferences, and spark the discovery process for newer therapies and approaches. A number of life sciences firms have already begun tapping into this powerful data combination. For example, Medidata earlier this year acquired SHYFT Analytics, the maker of a cloud data analytics platform specifically designed for the pharma and biotech industries. And IQVIA started down this path with the OCE platform after the merger of Quintiles and IMS and subsequent company renaming.
  2. Platforms are becoming mainstream: Everybody’s jumping on the platform bandwagon. Examples include the Accenture-AWS-Merck research platform, ZS’s REVO Analytics, and Medidata’s Intelligent Platform for Life Sciences. The hallmarks of these and other platforms in this space are the combination of products and services in a utility-based construct, where customers can plug in and plug out based on need. Customers at Medidata’s NEXT event voiced a pressing need for technology partners to underwrite the risk of innovation by orchestrating the ecosystem (aka guaranteed outcomes).
  3. Moving from real world data to real world evidence: Life sciences enterprises are starting with low hanging fruit such as EHR-to-EDC integration through various sites to unlock value from data. To truly move the needle from data to evidence, and thereby help life sciences firms navigate outcome-based contracts, ecosystem participants – including enterprises, technology vendors, service providers, data providers, intermediaries/brokers, and patient advocacy groups – need to put more skin in the game and focus on end outcomes, such as patient experience, satisfaction, and clinical/health impact.
  4. CROs Are A-Changing: The CRO market is at an interesting inflection point as the traditional model has a limited runway for growth. The IQVIA model of combining clinical and commercial expertise is a sign of things to come, and CROs are doubling down on technology adoption to navigate this change. Another example is Medidata’s announcement of a five-year agreement with Pharm-Olam to unify operational systems to support study executions on the Medidata Cloud, providing a single, unified view of clinical trials to all stakeholders.
  5. Crowdsourcing clinical trials – are we there yet?: The industry is abuzz about the possibilities resulting from developments that aim to advance patient engagement, such as ePRO and advancements through Apple Watch and ResearchKit. While a crowdsourced clinical trial is some time away, several important steps have already been taken to help bring patients to the center of the clinical trial design and process, and assume greater ownership of their health outcomes. One particularly interesting use case is that, following GSK’s and its partners’ Patient Rheumatoid Arthritis Data (PARADE) study, Apple has obtained FDA clearance (not approval) to investigate the feasibility of using a mobile app to recruit and enroll patients in a study and gain insights about rheumatoid arthritis in a real-world setting.
  6. Accelerating cloud adoption: While life sciences firms have been putting an increasing number of enterprise applications and data on the cloud, they have been hesitant to do so with R&D and clinical data. However, the recently announced Accenture-Merck-AWS research platform signaled a changing wave of initiatives. For example, AWS and Google’s and Microsoft’s cloud platforms were prominently present at Medidata NEXT. We expect these lead steers in the market to accelerate the cloud movement in the life sciences industry.
  7. Partnerships are key to unlocking value in the digital ecosystem: Life sciences firms need to forge closer bonds with payers, providers, patient advocacy groups, etc., to truly bring the vision of a converged ecosystem to life. Several prime examples of this shift have emerged in the past year or so. One is the outcome-based contract struck between Amgen and healthcare services company Harvard Pilgrim for the cholesterol drug Repatha. Another is Medidata’s work with the Biden Cancer Initiative (BCI) community to coordinate a consortium of clients to share IoT data in order to analyze determinants such as quality of life and disease progression.
  8. The pivot to patient-centricity hinges on trust orchestration: While life sciences firms have been trying to become more patient-centric, there’s a sizable trust deficit with their core constituents. In fact, as the following exhibit illustrates, the pharmaceutical industry ranks at the bottom of the perception scale among adults in the U.S., second only to the federal government. As life sciences companies collaborate more closely with payers and providers, the ecosystem needs to reaffirm trust with patients and other stakeholders. Trust assurance is going to be key for the future of a converging healthcare ecosystem. In this context, how life sciences firms coordinate care with payers and providers will be crucial in reinstituting trust with patients and enabling care coordination.

The Future of Life Sciences Clinical Trials Take Aways from Medidata NEXT business sector blog image

The life sciences industry stands at the cusp of change. To truly move towards a patient-centric and outcome-based ecosystem, stakeholders need to collapse the traditional stack, break through silos, and embrace collaboration.

Market stakeholders, including Medidata, have made an interesting set of investments, on a platform of growth, in these areas.

Check back here often to see our analysis of how various life sciences stakeholders are collaborating to coordinate care and assure patient outcomes, ultimately to advance the future of life sciences.

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