Jonah Feldman

ORCID: 0000-0002-5821-0946
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About
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Research Areas
  • Electronic Health Records Systems
  • Medical Coding and Health Information
  • Telemedicine and Telehealth Implementation
  • Health Literacy and Information Accessibility
  • Digital Imaging in Medicine
  • Digital Mental Health Interventions
  • Jewish and Middle Eastern Studies
  • Text Readability and Simplification
  • Social Media in Health Education
  • Clinical Reasoning and Diagnostic Skills
  • Data Quality and Management
  • Healthcare Systems and Technology
  • Artificial Intelligence in Healthcare and Education
  • Biomedical Text Mining and Ontologies
  • Radiology practices and education
  • Middle East and Rwanda Conflicts

NYU Langone Health
2020-2024

Long Island University
2020-2024

Island Hospital
2024

New York University
2020

Importance By law, patients have immediate access to discharge notes in their medical records. Technical language and abbreviations make difficult read understand for a typical patient. Large models (LLMs [eg, GPT-4]) the potential transform these into patient-friendly format. Objective To determine whether an LLM can summaries format that is more readable understandable. Design, Setting, Participants This cross-sectional study evaluated sample of adult discharged from General Internal...

10.1001/jamanetworkopen.2024.0357 article EN cc-by-nc-nd JAMA Network Open 2024-03-11

The introduction of electronic workflows has allowed for the flow raw uncontextualized clinical data into medical documentation. As a result, many notes have become replete "noise" and deplete clinically significant "signals." There is an urgent need to develop implement innovative approaches in documentation that improve note quality reduce unnecessary bloating.This study aims describe development impact novel set templates designed change information documentation.This multihospital...

10.2196/41223 article EN cc-by JMIR Formative Research 2023-02-15

The transformation of health care during COVID-19, with the rapid expansion telemedicine visits, presents new challenges to chronic and preventive providers. Clinical decision support (CDS) is critically important providers, CDS malfunction common times change. It essential regularly reassess an organization's ambulatory program maintain quality. This especially true after immense change, like COVID-19 expansion.

10.2196/21712 article EN cc-by JMIR Medical Informatics 2020-12-15

Abstract Background Electronic health record secure messaging (EHRSM) is an increasingly utilized tool for communication among clinicians. However, there concern about the growing quantity of disruptions it presents via interruptive notification. Objectives The primary aim this study to assess whether introducing emoji reactions, which do not trigger push notifications in EHRSM, can alleviate burden notifications. second use notification metadata identify subgroups that might benefit from...

10.1055/s-0044-1788621 article EN cc-by ACI Open 2024-07-01

<sec> <title>BACKGROUND</title> Online accessible patient education materials (PEMs) are essential for empowerment. However, studies have shown that these often exceed the recommended sixth grade reading level, making them difficult many patients to understand. Large language models (LLMs) potential transform PEMs into more readable educational content. </sec> <title>OBJECTIVE</title> We sought evaluate whether three LLMs—ChatGPT, Gemini, and Claude—can optimize readability of level without...

10.2196/preprints.69955 preprint EN cc-by 2024-12-11

<sec> <title>BACKGROUND</title> The transformation of health care during COVID-19, with the rapid expansion telemedicine visits, presents new challenges to chronic and preventive providers. Clinical decision support (CDS) is critically important providers, CDS malfunction common times change. It essential regularly reassess an organization's ambulatory program maintain quality. This especially true after immense change, like COVID-19 expansion. </sec> <title>OBJECTIVE</title> Our objective...

10.2196/preprints.21712 preprint EN cc-by 2020-07-10

<sec> <title>BACKGROUND</title> The introduction of electronic workflows has allowed for the flow raw uncontextualized clinical data into medical documentation. As a result, many notes have become replete “noise” and deplete clinically significant “signals.” There is an urgent need to develop implement innovative approaches in documentation that improve note quality reduce unnecessary bloating. </sec> <title>OBJECTIVE</title> This study aims describe development impact novel set templates...

10.2196/preprints.41223 preprint EN 2022-07-21
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