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Getting Cross-Industry Collaborations Right, Part 1: A Transactions Perspective

Healthcare is facing an age of disruption from new market entrants and players outside the traditional healthcare paradigm. Unexpected partnerships are bringing fresh solutions to market and changing how business is done and care is delivered.

Many of these new partnerships are arising in conjunction with innovation investments by hospitals and health systems (HHSs). HHSs have always been a source of significant innovation through research and other avenues, but traditionally this work has been largely decentralized. Today, HHSs are formalizing their innovation efforts and finding ways to capitalize on those opportunities—which are abundant, thanks to HHSs’ physician workforce, research infrastructure, and access to patients and their data. These centralized innovation incubators make it easier for non-traditional players, such as tech companies, to pool resources with an HHS and bring game-changing solutions to market in an expedited fashion.

Whether they occur through an innovation center, cross-industry ventures in the healthcare sphere are still in their infancy. As such, they pose a number of challenges that require careful planning and a flexible mindset.

Vet Your Opportunities Thoroughly

In today’s push for value-driven transformation, HHSs and other health industry stakeholders have hundreds if not thousands of opportunities for partnerships knocking on their door. Diverse players, from tech vendors to start-ups to private equity firms, are queuing up for a chance to participate in the burgeoning health sector.

Faced with these abundant—and often novel—opportunities, HHSs have the task of sorting through their options and developing an efficient process to vet, select and pursue them. Too many choices is a good problem to have, but HHSs nonetheless face challenges as they determine the best way to triage potential partnerships and ventures. Key infrastructure components at HHSs include education of and buy-in by governing board, development of investment guidelines that align with mission, and building the innovation structure and team (often with contributors who come from outside of “traditional healthcare”). Once that infrastructure has been established, the HHS will be able to evaluate and pursue innovative ventures better and faster, in turn bringing solutions to market and to patients more quickly.

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Podcast | Culture Clashes: Getting Cross-Industry Collaborations Right

A Collaborative Transformation Perspective on Digital Health

Healthcare is facing an age of disruption from new players and new market entrants from outside the traditional healthcare paradigm. These disruptors have varying degrees of experience in the highly regulated and closely scrutinized healthcare landscape. How can these parties work together across different cultures and regulatory environments to fashion better, faster, more accessible healthcare? In this episode of the Of Digital Interest podcast, Stephen Bernstein and Kerrin Slattery discuss:

  • Exciting new collaborations in the healthcare space
  • Challenges companies face as they work through cross-industry ventures, from diligence to regulatory mapping
  • Key considerations for data sharing and the use of de-identified data in digital health solutions
  • Navigating cultural differences between traditional providers and new non-traditional parties
  • Best practices for companies working to enter the healthcare space through collaborative ventures

Click here to listen to this episode.




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Can We Expect to See ONC’s Final Rule on Information Blocking Soon?

A recent update to the Office of Management and Budget (OMB) website suggests that the answer is “yes”—though that depends on how one defines “soon.” According to its website, OMB received the Office of the National Coordinator for Health Information Technology’s (ONC’s) final rule, entitled 21st Century Cures Act: Interoperability, Information Blocking, and the ONC Health IT Certification Program, for review on October 28, 2019.

Based on the rule title, it appears that ONC is ready to finalize its proposals concerning information blocking and related exceptions. Earlier this year, ONC issued a proposed rule that, among other things, proposed to define information blocking and establish seven exceptions to the broad prohibition for reasonable and necessary activities that should not be considered information blocking. For more information about the information blocking provisions of ONC’s proposed rule, see our On the Subjects here and here.

OMB review is one of the final steps in the process before a rule is published in the Federal Register. OMB did not identify a deadline for completing its review. The agency generally has up to 90 days to complete its review and while it can take less time, OMB took longer with ONC’s proposed rule.

ONC received more than 2,000 public comments on its proposed rule, many of which related to information blocking topics such as the broad scope of the proposed definitions for certain covered actors—e.g., health information exchanges and health information networks—as well as the scope of the definition of “electronic health information.” Several large industry stakeholders recently wrote a letter to Chairman Lamar Alexander and Ranking Member Patty Murray of the Senate Committee on Health, Education, Labor and Pensions raising concerns about ONC’s rulemaking efforts to date and recommending, among other things, that ONC issue a Supplemental Notice of Proposed Rulemaking (SNPRM) to seek further input from stakeholders on various information-blocking-related issues. While we do not know the ultimate contents of ONC’s final rule, it does not appear that ONC has pursued the SNPRM path to gain additional public input.

While we wait for ONC to publish its final rule on key policy decisions that will shape the information blocking enforcement landscape moving forward, please do not hesitate to contact your regular McDermott lawyer or any one of the authors of this blog post if you have questions or need assistance related to information blocking.




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Is Your Software a Medical Device? FDA Issues Six Digital Health Guidance Documents

The 21st Century Cures Act, enacted in December 2016, amended the definition of “medical device” in section 201(h) of the Federal Food, Drug, and Cosmetic Act (FDCA) to exclude five distinct categories of software or digital health products. In response, the US Food and Drug Administration (FDA) issued new digital health guidance and revised several pre-existing medical device guidance documents. FDA also stated that it would continue to assess how to update and revise these guidance documents as its thinking evolved.

Late last week, FDA issued five final guidance documents and re-issued a draft guidance document to better reflect FDA’s current thinking on software as a medical device (SaMD) and other digital health products:

Most of the guidance documents reflect modest changes to prior draft guidance documents that describe categories of low-risk health and wellness devices that FDA does not intend to regulate. FDA’s new draft Clinical Decision Support (CDS) Software guidance, however, provides a new and more detailed analysis of risk factors that FDA will apply to determine whether a CDS tool is a medical device. FDA updated its previously issued draft CDS guidance without finalizing it. Although the new guidance does not explain why FDA is reissuing the CDS guidance in draft, the new draft guidance seems to reflect the agency’s attempt to better align its definition of non-device software with the often misunderstood and misinterpreted statutory definition of CDS in section 520(o)(1)(E) of the Cures Act. The chart below summarizes the key provisions and changes to these guidance documents.

Digital health products can present a particular challenge for developers and regulators in assessing the appropriate regulatory pathways for a new product. The updated guidance documents reflect the need for a more flexible, risk-based approach to regulation that accommodates a rapidly evolving technological landscape. These documents also reflect what appears to be the new normal for digital health regulation—the need for iterative thinking and ongoing revisions to interpretive guidance documents to keep pace with a constantly changing marketplace.

Click here to read the full client alert on this issue. 




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To Market, To Market: FDA’s Digital Health Precertification Program

In response to the rapid pace of innovation in the health and life sciences arena, the US Food and Drug Administration (FDA) is taking a proactive, risk-based approach to regulating digital health products. Software applications and other transformative technologies, such as artificial intelligence and 3D printing, are reshaping how medical devices are developed, and FDA is seeking to align its mission and regulatory obligations with those changes.

FDA’s digital health software precertification program is a prime example of this approach. Once fully implemented, this voluntary program should expedite the path to market for software as a medical device (SaMD), and promote greater transparency between FDA and regulated entities.

Under the program, FDA will conduct a holistic review of the company producing the SaMD, taking into account aspects such as management culture, quality systems and cybersecurity protocols, to ascertain whether the company has developed sufficient infrastructure to ensure that its products will comply with FDA requirements and function safely as intended. Companies that fulfill the requirements of the excellence appraisal and related reviews will receive precertification that may provide for faster premarket reviews and more flexible approaches to data submissions at the outset.

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Reviewing Key Principles from FDA’s Artificial Intelligence White Paper

In April 2019, the US Food and Drug Administration (FDA) issued a white paper, “Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device,” announcing steps to consider a new regulatory framework to promote the development of safe and effective medical devices that use advanced AI algorithms. AI, and specifically ML, are “techniques used to design and train software algorithms to learn from and act on data.” FDA’s proposed approach would allow modifications to algorithms to be made from real-world learning and adaptation that accommodates the iterative nature of AI products while ensuring FDA’s standards for safety and effectiveness are maintained.

Under the existing framework, a premarket submission (i.e., a 510(k)) would be required if the AI/ML software modification significantly affects device performance or the device’s safety and effectiveness; the modification is to the device’s intended use; or the modification introduces a major change to the software as a medical device (SaMD) algorithm. In the case of a PMA-approved SaMD, a PMA supplement would be required for changes that affect safety or effectiveness. FDA noted that adaptive AI/ML technologies require a new total product lifecycle (TPLC) regulatory approach and focuses on three types of modifications to AI/ML-based SaMD:

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FDA’s Breakthrough Device Program: Opportunities and Challenges for Device Developers

As part of the 21st Century Cures Act, Congress gave the US Food and Drug Administration (FDA) the authority to establish a Breakthrough Devices Program intended to expedite the development and prioritize the review of certain medical devices that provide for more effective treatment or diagnosis of life-threatening or irreversibly debilitating disease or conditions. In December 2018, FDA issued a guidance document describing policies FDA intends to use to implement the Program.

There are two criteria for inclusion in the Breakthrough Device Program:

  1. The device must provide for a more effective treatment or diagnosis of a life-threatening or irreversibly debilitating human disease or condition; and
  2. The device must (i) represent breakthrough technology, (ii) have no approved or cleared alternatives, (iii) offer significant advantages over existing approved or cleared alternatives, or (iv) demonstrate that its availability is in the best interest of patients.

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Patenting Your Digital Health Tech: When, Why and How

The digital health market is expected to grow beyond $379 billion by 2024, with a 27.7 percent compounded annual growth rate over the coming years. This activity is fueled by increasing demand for remote monitoring services, favorable government initiatives and funding, and the proliferation of mobile intelligent devices. An article by Rock Health noted that in 2018, “investors poured nearly $8.1B into the sector, surpassing 2017’s record-setting total of $5.7B by a whopping 42%.”

Amidst this growth, digital health startups are seeking to make the most of their funding and protect the innovations that drive their product. To do so, they must protect their intellectual property from being copied or duplicated by others in the market. Patents offer the strongest form of protection for innovations and can lead directly lead to increased investment. For digital health startups that eventually go public, valuation can reach $1.1 million per software patent application filed.

An issued patent in the United States gives the patent owner a 20-year monopoly right to stop others from making, using or selling the patented invention. A digital health company with a patent on a software feature—for example, a unique approach to dynamically generate a questionnaire based on user information for a remote health consult—has the right to stop competitors from making, selling or using software that includes that feature. Digital health companies, particularly pre-IPO, should develop a patenting strategy to assess how best to protect the innovations that drive their business and increase the company’s monetary value and longevity. If you have ever said one of the following phrases, your company likely will benefit from a discussion with patent counsel on how to protect your inventions:

  • We’re the first ones to ever do this.
  • None of our competition does this.
  • This feature drives a lot of business to our company.
  • This feature was really hard to implement, but we found a way to do it.

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McDermott Named Health Practice Group of the Year by Law360

We greatly appreciate our readers continuing to turn to us for insight on the most critical legal, regulatory and transactional developments impacting digital health, and the innovative collaborations transforming health care. Over the past year, McDermott’s Health practice made headlines for our work on several of the most high-profile collaborative transformations that took place in 2018: We were one of several law firms to advise CVS Health Corp. on its approximately $70 billion cash and stock purchase of health insurer Aetna Inc. McDermott also assisted Air Medical Group Holdings in its $2.44 billion acquisition of American Medical Response (AMR), a medical transportation company, from Envision Healthcare Corporation. It is because of our role in ground-breaking transactions like these that—for the fifth time in 10 years—McDermott was recognized by Law360 as the Health Practice Group of the Year.

We’re passionate about the results our digital health clients are achieving and our role in helping them transform health care. We are equally passionate about what these results mean for the industry and health care consumers. Through our blogs, articles and health-focused events, we are committed to providing you with thought leadership that will help expand your field of vision as you navigate the rapidly changing health care landscape.

To read Law360’s profile of McDermott’s industry-leading health care practice, click here. McDermott was also named Practice Group of the Year in the Tax category. For more information about our approach to Collaborative Transformation, visit mwe.com/collaborativetransformation.




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Expanded Telemedicine Services Presented as Means to Address Opioid Crisis in New Legislation

Last week, President Trump signed the SUPPORT for Patients and Communities Act (SUPPORT Act), a bipartisan piece of legislation designed to tackle the opioid crisis by, among other approaches, increasing the use of telemedicine services to treat addiction. Several key provisions are summarized below.

The package includes provisions to expand public reimbursement for telemedicine services that focus on addiction treatment. Specifically, the legislation removes Medicare’s originating site requirement for substance abuse treatment provided via telemedicine, meaning that health professionals can receive Medicare reimbursement even if the patient is not located in a rural area. In addition, the Centers for Medicare and Medicaid Services (CMS) has been directed to issue guidance to states regarding possible ways that Medicaid programs can receive federal reimbursement for treating substance abuse via telemedicine. The legislation explicitly identifies services provided via a hub and spoke model and in school-based health centers, among others, as those that should be eligible for federal reimbursement.

In another development, the US Drug Enforcement Agency (DEA) is now required to implement regulations regarding a special registration process for telemedicine providers within one year of the passage of the SUPPORT Act. The aim of this process is to expand health providers’ ability to prescribe controlled substances to patients in need of substance use disorder treatment based on a telemedicine consultation, without having to conduct an in-person evaluation first. This special registration process was originally contemplated 10 years ago under the Ryan Haight Online Pharmacy Consumer Protection Act of 2008 (Ryan Haight Act) as one of the seven pathways through which a telemedicine provider could prescribe a controlled substance to his/her patient without having first conducted an in-person evaluation, but the DEA never issued any regulations to effectuate it. At present, the special registration process and requirements (e.g., registration costs, application processing timeline, provider qualifications) are still largely unknown. The answers to these open issues will determine how accessible this new registration pathway will be to substance use disorder providers and, therefore, how impactful it will be in connecting patients in need of substance use disorder treatment with qualified providers.

In addition to these policy reforms, the SUPPORT Act also directs government agencies to conduct additional research into the possible benefits of telemedicine technology for treating substance abuse. Both CMS and the Government Accountability Office (GAO) are tasked with publishing reports concerning the use of telemedicine technology for treating children: CMS is directed to analyze how to reduce barriers to adopting such technology, and GAO is directed to evaluate how states can increase the number of Medicaid providers that treat substance use disorders via telemedicine in school-based clinics. Furthermore, the Department of Health and Human Services must issue a report regarding the impact of using telemedicine services to treat opioid addiction within five years.




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