Health Data

Electronic Health & Medical Records, Health Data, Health IT Certification Program, Information Blocking, Privacy and Security

Updated Insights on Hospital Leaders’ Perceptions of Information Blocking

Jordan Everson | June 14, 2023

In a recent study in the Journal of the American Medical Informatics Association (JAMIA), we leveraged data from the 2020 American Hospital Association (AHA) Information Technology Supplement gathered from April-June 2021, shortly after the initial applicability date of the information blocking regulations (April 5, 2021). We found that 42% of hospitals perceived that at least one type of information blocking “actor” (health care provider, health information network/health information exchange, or health IT developer of certified health IT) engaged in practices that may constitute information blocking.

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AI & ML, Blog Series: Artificial Intelligence & Machine Learning, Electronic Health & Medical Records, Health Data, Health Innovation, Health IT Certification Program

Increasing the Transparency and Trustworthiness of AI in Health Care

Kathryn Marchesini | April 13, 2023

This is part five of a blog series on predictive models, artificial intelligence (AI) & machine learning (ML) in health. We encourage readers to (re)visit the four previous blog posts for important context to what follows.
Through a series of blog posts over the last year, we’ve described our understanding of the current and potential uses of predictive models and machine learning algorithms in health care, and the role that ONC can play in shaping their development and use.

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Health Data

Use of Telemedicine among Physicians and Development of Telemedicine Apps

Yuriy Pylypchuk | March 9, 2023

In 2020, as the U.S. health care system faced the unprecedented challenge of combating the COVID-19 pandemic, telemedicine emerged as an invaluable care delivery tool; both providers and patients heavily relied on it for providing and receiving care. Through an analysis of National Electronic Health Record Survey (NEHRS) 2021 data and from in-house data collected from electronic health record (EHR) developers’ app galleries, we have an opportunity to inform the public about physicians’ experiences with telemedicine during the pandemic.

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Health Data

Flipping the Script: Leveraging EHR Data to Inform Clinical Burden Reduction Approaches

Chelsea Richwine | February 6, 2023

In 2020, the U.S. Department of Health and Human Services (HHS) released a strategy to reduce regulatory and administrative burden relating to the use of health IT, including electronic health record (EHR) systems. Key burden reduction goals addressed in the report include reducing the amount of time and effort required to record information in EHRs to meet regulatory requirements and improving the usability of EHRs.

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Health Data

Evidence on the Growing Use of Health IT to Address the Opioid Epidemic

Chelsea Richwine | January 19, 2023

In the midst of a growing drug overdose crisis exacerbated by the COVID-19 pandemic, clinicians’ use of prescription drug monitoring programs (PDMPs) and electronic prescribing of controlled substances (EPCS) technology is critical to improving opioid prescribing practices, informing treatment decisions, and supporting safe and effective patient care. Recent efforts, such as mandating use of EPCS technology and integrating PDMPs into electronic health record (EHR) systems, aim to improve prescribing practices by increasing the utility of information contained in PDMPs and decreasing prescription diversion and doctor shopping.

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