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Top Takeaways | 2023 PPM-ASC Symposium | Leveraging Data Collaborations for Revenue Growth

In this session, the panelists discussed the successes and challenges of a data collaboration between Gastro Health and Lynx.MD, and provided real-world insights into how a physician platform can harness its data to enhance patient care and generate additional revenue while maintaining compliance with applicable privacy and security regulations.

Session panelists included:

  • Omer Dror, Founder and Chief Executive Officer, Lynx.MD
  • Rich Weissmark, Senior Vice President of Strategic Operations, Gastro Health
  • Moderator: Stephen Bernstein, Partner, McDermott Will & Emery

Top takeaways included:

  • Organizing and understanding patient data can require a large up-front investment, as it can be costly, time-consuming and challenging. This is often the largest hurdle in data collaborations; but once that step is addressed, the ability to harness the data for patient care and research can be exponentially valuable over time.
  • Data has a multitude of uses, e.g., internally within a practice to improve patient care and externally with life sciences partners and other stakeholders to analyze trends and forge innovation (provided that data shared externally is properly deidentified, or takes the form of a limited data set that is subject to proper data-use agreements). A physician practice with curated data that can be meaningfully used will be far better positioned to discuss and negotiate value-based care and alternative payment models with various payors.
  • While some data modeling focuses on just one use, the best opportunities may come from innovations that consider all of the other potential uses for the data. The specific disease states that are of interest to clinicians delivering care are often the same as those that interest life sciences companies. As a result, this is an opportunity for cost savings: collecting the data once, transforming it into separate deidentified data cuts and then using it for different purposes, which can include potential revenue-sharing opportunities relative to deidentified data sets.
  • Practices that want to develop data sets and forge data collaborations should act with intention in negotiating contracts that involve data and anticipate what data they may need in the future. If practices give away data rights too soon, it may be difficult to ensure future flexibility and opportunities for that data in the future. Contracts could be with electronic medical records (EMR) companies, pharmaceutical companies and various vendors, so practices should review these contracts closely and try to keep options open for future opportunities.
  • Healthcare data is inherently sensitive and heavily regulated. In addition to putting strong data-governance policies in place that support Health Insurance Portability and Accountability Act (HIPAA) regulations, companies looking to build a data strategy should make sure to consult with legal counsel in developing a plan to use the data. Data privacy and security, deidentification, the creation of limited data sets, data rights, and the level of trust between a physician platform and its data-sharing partners should all be considered before attempting to form a data collaboration.
  • Innovative use of technology and associated data use can be a differentiating factor in recruiting younger physicians who are excited about [...]

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Future Forward: Data Arrangements During and After COVID-19

The need for speedy and more complete access to data is instrumental for healthcare providers, researchers, pharmaceutical, biotech and device companies and public health authorities as they work to quickly identify infection rates, disease trends, outcomes, including antibodies, and opportunities for treatments and vaccines for COVID-19.

A variety of data sharing and collaborations have emerged in the wake of this crisis, such as:

  • Requests and mandates by public health authorities, either directly or via providers’ business associates requesting real time information on infections and bed and equipment availability
  • Data sharing collaborations among providers for planning, anticipating and tracking COVID-19 caseloads
  • Data sharing among providers, professional societies and pharmaceutical, biotech and medical device companies in search of testing options, treatment and vaccine solutions, and evaluation of co-morbidities


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Challenges and Opportunities in MedTech, Innovation and Digital Health

A recent McDermott roundtable on European health private equity generated key insights into the future of medtech, digital health, and data analytics, and identified opportunities for companies and investors.

Digital health solutions are widely considered to be the next big growth market. Healthcare lags significantly behind other industries when it comes to digitization, but the potential opportunities are driving developers, healthcare providers, and investors to find solutions.

A key point to bear in mind about healthcare technology is that success and adoption may often be measured by the quality of the users’ experience, the resulting clinical outcomes, short and long term cost savings, and the resulting margin for both investors and the health care system at large. These multi-faceted goals are best illustrated by the demands for i) greater efficiency, and ii) better patient outcomes.

Efficiency is typified by, for example, streamlined bookings and appointment reminders, algorithms that triage patients to ensure they are seen by the right person at the right time, and in-home patient monitoring after patients are discharged. Patient take-up is also an excellent gauge of efficiency, for example, a high tech product that measures and reports blood sugar is of no value if the interface is too complicated for an older population.

Better outcomes result from clinicians gathering and using data to determine the right treatment in the fastest possible time, and are demonstrated, for example, by permanent lifestyle changes, improvements in self-care or care outside hospital,accurate drug dosage and use of medicines, and, in direct contrast with other sectors, reduced, rather than increased, service usage.

One of the most obvious challenges inherent in digital health is data privacy and security. Stemming from that are issues relating to control of the data, the right to use it, and ownership of the analysis. The most successful companies are those that, from the very beginning, understand the regulatory landscape in which they are operating; are transparent in terms of where their data comes from; make clear the type of data at issue, be that identifiable, pseudonymized, anonymized, or something in between; and identify who will control what data in what form. The ability to marry up these factors is a key part of any new entrant’s value proposition.


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New Podcast: Whose Data is it Anyway? Collaboration in Digital Health

The demand for healthcare innovation is driving collaboration between formerly disparate healthcare companies and bringing in new players, such as technology companies and start-ups, into an already complex space. As companies build partnerships and pool resources – particularly healthcare data – data ownership presents numerous challenges that need to be addressed throughout the lifecycle of the collaboration. In this episode of the Of Digital Interest podcast McDermott partners Jiayan Chen and Jennifer S. Geetter explore:

  • Key concerns for companies executing data-driven collaborations
  • Consumer expectations surrounding data use, data privacy and their impact on digital health collaborations
  • The role of HIPAA and federal and state regulators in regulating data use
  • Common questions about secondary use and identifiable and deidentified data
  • Commercialization strategies and “green flags” for identifying the right collaboration partner

Click here to listen to this episode.

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