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OOn May 24, 2025, Robert F. Kennedy, Jr. and the Make America Healthy Again (MAHA) Commission are expected to submit the Make our Children Healthy Again Assessment to President Trump as required by the President’s February 13 Executive Order (EO) establishing the Commission.[1] The EO directed Secretary Kennedy and the MAHA Commission to assess potential contributors to childhood chronic disease in America, focusing on the American diet, absorption of toxic material, medical treatments, lifestyle, environmental factors, Government policies, and food production technique.

Continue Reading MAHA’s Vision for Healthier Diets: Awaiting Concrete Steps and Assessing Challenges 

On December 17, 2024, the House Task Force on Artificial Intelligence (Task Force) released a highly-anticipated report titled, “Bipartisan House Task Force Report on Artificial Intelligence,” (the Report) which establishes guiding principles and issues recommendations to guide U.S. innovation in artificial intelligence (AI), including in the healthcare sector. The Report is intended to serve as a blueprint for Members of Congress as they conduct oversight and introduce legislation to address advances in AI technologies, including the regulation of health-specific AI applications.

Continue Reading House Task Force on AI Issues Report and Proposes Healthcare Recommendations

Executive Summary

The healthcare industry is undergoing a significant transformation, moving away from volume-based care towards value-based models that prioritize patient outcomes and cost efficiency. This issue brief delves into delta MLR contracting, a type of value-based contracting that measures and rewards improved performance based upon incremental improvements in medical loss ratio. 

Delta MLR contracting is the next chapter on the way to full risk delegation, aiming to improve medical loss ratios by reducing unnecessary utilization through innovative tech-enabled care delivery transformations and offering the potential for future revenue increases for providers who achieve improved quality and appropriately document and code clinical conditions for accurate risk adjustment.

Medical Loss Ratio (MLR) refers to the percentage of premiums payers spend on medical claims and healthcare quality improvement, as opposed to administrative costs and profits. Delta MLR contracting presents an innovative framework for population health providers and virtual care organizations to align to the clinical and operational value created for risk bearing entities. Below we discuss the necessary emphasis in delta MLR contracting on the integration of documentation and coding practices, data, actuarial analytics, quality initiatives, and medical management. We also focus on the need for full financial alignment of virtual care solutions and risk bearing entities in achieving the Quintuple Aim.

By focusing on these elements, innovative providers can enhance patient outcomes, optimize financial performance, and navigate the complexities of value-based care more effectively. 

Continue Reading Delta MLR Contracting: Integrating Risk, Quality and Affordability

In recent years, organizations have been developing and using predictive models, which are powered by artificial intelligence (AI) and machine learning (ML) technologies, for numerous use cases in clinical and health care settings, including to aid in clinical decision-making. Currently, healthcare AI systems and tools have both clinical and administrative applications, namely monitoring patients, recommending treatments, predicting health trajectories, recording clinical notes, optimizing operational processes, and supporting population health management.

The Department of Health and Human Services (HHS) and federal agencies have been developing policies to advance transparency and manage risks for the development and use of AI/ML-powered health care technologies. Most recently, the Office of the National Coordinator for Health Information Technology (ONC) issued regulations that addresses predictive models and health AI systems.

Continue Reading Taking a Closer Look at ONC’s AI Transparency Regulations

On December 13, 2023, the U.S. Department of Health and Human Services’ (HHS) Office of the National Coordinator for Health Information Technology (ONC) released the Health Data, Technology, and Interoperability: Certification Program Updates, Algorithm Transparency, and Information Sharing (HTI-1) Final Rule.

Continue Reading ONC Releases Final Rule on Information Blocking and Health IT Certification Program Updates, Including Requirements Related to AI

On October 24, 2023, the U.S. Food and Drug Administration (“FDA”), Health Canada, and the U.K.’s Medicines and Healthcare products Regulatory Agency (“MHRA”) jointly released a publication identifying five guiding principles for predetermined change control plans (“PCCP”) for machine learning-enabled medical devices (“MLMD Guiding Principles”).

Continue Reading FDA Releases Predetermined Change Control Plans for Machine Learning-Enabled Medical Devices: Guiding Principles

On October 19, 2023, the U.S. Food and Drug Administration (FDA) issued final guidance entitled, “Enforcement Policy for Non-Invasive Remote Monitoring Devices Used to Support Patient Monitoring,” (the Final Guidance) to provide clarification on its enforcement policies and premarket review expectations for certain non-invasive remote monitoring devices used for patient monitoring at the conclusion of the COVID-19 public health emergency (PHE). Specifically, the FDA will continue to allow most remote monitoring devices to be used in home settings and to allow certain hardware or software changes to allow for increased remote monitoring capabilities under enforcement discretion.

Continue Reading FDA Issues Final Guidance on Enforcement Policy for Non-Invasive Remote Monitoring Devices Used to Support Patient Monitoring

On December 22, 2023, FDA issued final guidance–Digital Health Technologies for Remote Data Acquisition in Clinical Investigations. This final guidance is aimed at sponsors and others who may be involved in remote data acquisition for clinical trials to evaluate medical products. As digital health technologies (DHTs) used for remote data acquisition are playing a growing role in health care and offer important opportunities in clinical research the FDA is providing guidance for ensuring that technologies used are safe, appropriate, and store and transmit data appropriately. Highlights of the guidance are below.

Continue Reading FDA Releases Guidance on Digital Health Technologies for Clinical Investigations  

Last week, the Office for Civil Rights (“OCR”) announced a settlement with Lafourche Medical Group (“LMG”), a Louisiana medical group, for a 2021 phishing attack and breach that affected the protected health information (“PHI”) of 34,862 individuals. In addition to paying $480,000 to OCR, LMG agreed to a corrective action plan that will include implementing security measures to protect electronic PHI, developing written policies and procedures to comply with HIPAA rules, and training staff members.

Continue Reading OCR Takes Enforcement Action for Phishing Attack

On November 8, 2023, the Senate Health, Education, Labor and Pensions (HELP) Committee Subcommittee on Primary Health and Retirement Security discussed the impact of artificial intelligence (AI) on the healthcare sector in the Committee’s second AI hearing in nine days. The hearing comes as the White House and Congressional leaders seek to quickly respond to AI threats, mitigate its dangers, and harness its potential for American industry. Senators discussed the recent Executive Order issued by the White House to guide AI regulation and innovation across all sectors, including in the health and human services sectors.

Continue Reading Avoiding a Cautionary Tale: Policy Considerations for Artificial Intelligence in Health Care