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Farzad Mostashari, MD, Discusses the National Investment in HIT
Farzad Mostashari, MD, visiting fellow, Brookings Institution, former national coordinator for health information technology (HIT), US Department of Health and Human Services, says we need to have payment reform to support the success of HIT.
Farzad Mostashari, MD, visiting fellow, Brookings Institution, former national coordinator for health information technology (HIT), US Department of Health and Human Services, says we need to have payment reform to support the success of HIT.
“Health IT is truly revolutionary, truly adds value—not in the realm simply of one-on-one patient care, but when you talk about populations and managing and seeing the total health and patient experience,” he says.
Dr Mostashari also thinks we must keep pushing payment that rewards quality and outcomes. HIT can improve quality and outcomes, but progress will be slowed if it’s not incentivized or if people aren’t motivated to change and optimize their work flows.
“That’s what it takes,” he says. “It’s the incentives, it’s the information and the data; then it’s putting them together.”
Leveraging AI and Community Health Workers to Boost Trial Access
January 4th 2025In this second part of our interview with Kasey Bond, MPH, NYU Langone Health, we discuss the contributions of community health workers to increasing clinical trial access and how technology—artificial intelligence (AI), in particular—can help to facilitate the process.
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Frameworks for Advancing Health Equity: Pharmacy Support for Non-Hodgkin Lymphoma
December 19th 2024Rachael Drake, pharmacy technician coordinator, University of Kansas Health System, explains how her team collaborates with insurance companies and providers to support treatment access for patients with non-Hodgkin lymphoma.
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AI in Oncology: Opportunities and Challenges for NSCLC
January 1st 2025Ryan Nguyen, DO, University of Illinois Chicago, highlights the importance of personalized care for patients who have non–small cell lung cancer (NSCLC) and the potential of artificial intelligence (AI) in oncology, while cautioning against its limitations, including the risk of unsupported recommendations.
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