With 2026 underway, signs point to another year focused on enhancing health IT and digital health innovation.  From new payment models to deregulatory efforts, these developments show that digital health continues to be increasingly central to the healthcare and life sciences sectors.  Below are five key developments to watch unfold

Continue Reading 5 Developments Digital Health Innovators Should Watch in 2026

On December 16, 2025, the EU Commission unveiled its proposal for the Biotech Act.  The proposal, which is only the first part of a bigger initiative for regulating biotechnologies, focuses primarily on the health sector.  The Commission took the opportunity to broadly revise the Clinical Trial Regulation (“CTR”) –

Continue Reading EU Biotech Act Suggests Clarifying Data Protection Rules For Clinical Trials

On September 30, 2025, the U.S. Food and Drug Administration (FDA) issued a Request for Public Comment seeking input on “practical approaches to measuring and evaluating the performance of AI-enabled medical devices in the real-world,” including strategies for detecting, assessing, and mitigating performance changes over time (the “Request”). 

The Request

Continue Reading FDA Requests Public Comment on Real-World Evaluation of AI-Enabled Medical Devices

The Food and Drug Administration (FDA) has announced that its Digital Health Advisory Committee (DHAC) will meet on November 6, 2025, to discuss and make recommendations on the topic of genAI-enabled digital mental health medical devices.  The DHAC will discuss potential “benefits, risks to health, and risk mitigations” for

Continue Reading FDA to Convene Advisory Committee Meeting on GenAI Mental Health Devices

On July 30, 2025, the U.S. Department of Health and Human Services (HHS) Centers for Medicare & Medicaid Services (CMS) announced a new Health Technology Ecosystem Initiative—a collaborative effort between government and industry to unlock innovation by modernizing healthcare data flows among patients, providers, payers, and technology platforms. The new initiative does not contemplate any new regulations; instead, it is a CMS-led effort intended to empower and accelerate innovation by the private sector through (i) the development of public digital infrastructure and data standards and (ii) voluntary commitments from industry to deliver new technology solutions based on a common data-sharing framework.

It is too early to predict how successful the Health Technology Ecosystem will be—the stubborn prevalence of data silos, lack of interoperability between systems, and challenges with using data for secondary purposes have long been a hurdle to innovation—yet, with 60 organizations, including leading tech firms, already pledging support for the new initiative, the broader industry may see this as an occasion for renewed focus and expanded efforts to bring health technology solutions to market at scale. For life sciences and digital health companies, this new initiative may present a strategic opportunity to better serve patients, empower providers, improve real-world evidence generation, and support innovation leading to better healthcare outcomes. Continue Reading What Life Sciences and Digital Health Companies Need to Know About CMS’s New Health Technology Ecosystem Initiative

As the Covington team discussed in a recent article, use of AI models in biopharma is on the rise, with use cases spanning the life cycle of drugs and biologics, including product development, manufacturing, and pharmacovigilance. Recently, FDA announced its own intentions to aggressively scale the use of AI

Continue Reading Could FDA Model Master Files Facilitate Use of Third-Party AI Models in the Drug Life Cycle?

This blog was prepared in collaboration with, and was originally published by, the UK BioIndustry Association, here. We are grateful to the UK BioIndustry Association for collaborating on this blog, and for the opportunity to post it here.

What are the UK’s plans to reform data protection law?

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Continue Reading The UK’s new Data Legislation – What does it mean for the Life Science sector?

Quantum computing uses quantum mechanics principles to solve certain complex mathematical problems faster than classical computers.  Whilst classical computers use binary “bits” to perform calculations, quantum computers use quantum bits (“qubits”).  The value of a bit can only be zero or one, whereas a qubit can exist as zero, one, or a combination of both states (a phenomenon known as superposition) allowing quantum computers to solve certain problems exponentially faster than classical computers.

The potential applications of quantum computing are wide-ranging and industry-agnostic. For instance, they could be used to enhance the analysis of large, complex data sets, optimize supply-chain processes, and enhance artificial intelligence (“AI”) technologies and improve machine learning algorithms.

Given the potential applications, quantum computing could have a significant impact on companies in the life sciences sector, and more specifically could be used to improve:Continue Reading Quantum Computing and its Impact on the Life Science Industry

On May 13, 2025, the Centers for Medicare & Medicaid Services (CMS) and the Department of Health and Human Services’ Office of the Assistant Secretary for Technology Policy/Office of the National Coordinator for Health Information Technology (ASTP/ONC) announced a request for information seeking stakeholder input on the market of digital

Continue Reading CMS & HHS Health IT Office Issue Request for Information on Digital Health Products and Health Technology Infrastructure