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What EHR Metadata Tell Us About Team-Based Interventions for Inbox Reduction
Manage episode 376881944 series 3441336
Host Dr. Christine Sinsky, AMA Vice President of Professional Satisfaction, and guest A Jay Holmgren, PhD, Assistant Professor of Medicine at UC San Francisco and the Center for Clinical Informatics and Improvement Research, discuss how assessing Epic Signal data and other EHR metadata can be a useful tool for evaluating team-based interventions to reduce inbox volume.
Get the EHR Inbox Reduction Checklist: https://bit.ly/3Ew1gEO
Explore the EHR Inbox Reduction toolkit: https://bit.ly/3PbkAxN
Explore the research mentioned in today’s episode:
Assessment of Electronic Health Record Use Between US and Non-US Health Systems: https://bit.ly/3PvUoxu
Assessing the impact of the COVID-19 pandemic on clinician ambulatory electronic health record use: https://bit.ly/3LgZQSx
Physician Note Composition Patterns and Time on the EHR Across Specialty Types: a National, Cross-sectional Study: https://bit.ly/45LEWD6
Primary Care Physician Gender and Electronic Health Record Workload: https://bit.ly/3PcbZZP
🩺 The AMA is your powerful ally, focused on addressing the issues important to you, so you can focus on what matters most — patients. We will meet this challenge together. Join us: https://ama-assn.co/JoinRenew
🥼 Go to https://ama-assn.co/FightingForDocs to learn more about our AMA advocacy priorities, including:
▹ Reforming Medicare payment
▹ Fighting scope creep
▹ Fixing prior authorization
▹ Reducing physician burnout
▹ Making technology work for physicians
📺 Subscribe to @americanmedicalassociation on YouTube: https://ama-assn.co/youTube
📧 Sign up for #MorningRounds and free daily newsletters from the AMA: https://ama-assn.co/Newsletters
🎧 Listen to our latest medical podcasts: https://ama-assn.co/Podcasts
💬 Follow #AMA on social media: https://ama-assn.co/Social
📓 Access the Journal of the American Medical Association #JAMA login: https://ama-assn.co/JAMA
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
181 قسمت
Manage episode 376881944 series 3441336
Host Dr. Christine Sinsky, AMA Vice President of Professional Satisfaction, and guest A Jay Holmgren, PhD, Assistant Professor of Medicine at UC San Francisco and the Center for Clinical Informatics and Improvement Research, discuss how assessing Epic Signal data and other EHR metadata can be a useful tool for evaluating team-based interventions to reduce inbox volume.
Get the EHR Inbox Reduction Checklist: https://bit.ly/3Ew1gEO
Explore the EHR Inbox Reduction toolkit: https://bit.ly/3PbkAxN
Explore the research mentioned in today’s episode:
Assessment of Electronic Health Record Use Between US and Non-US Health Systems: https://bit.ly/3PvUoxu
Assessing the impact of the COVID-19 pandemic on clinician ambulatory electronic health record use: https://bit.ly/3LgZQSx
Physician Note Composition Patterns and Time on the EHR Across Specialty Types: a National, Cross-sectional Study: https://bit.ly/45LEWD6
Primary Care Physician Gender and Electronic Health Record Workload: https://bit.ly/3PcbZZP
🩺 The AMA is your powerful ally, focused on addressing the issues important to you, so you can focus on what matters most — patients. We will meet this challenge together. Join us: https://ama-assn.co/JoinRenew
🥼 Go to https://ama-assn.co/FightingForDocs to learn more about our AMA advocacy priorities, including:
▹ Reforming Medicare payment
▹ Fighting scope creep
▹ Fixing prior authorization
▹ Reducing physician burnout
▹ Making technology work for physicians
📺 Subscribe to @americanmedicalassociation on YouTube: https://ama-assn.co/youTube
📧 Sign up for #MorningRounds and free daily newsletters from the AMA: https://ama-assn.co/Newsletters
🎧 Listen to our latest medical podcasts: https://ama-assn.co/Podcasts
💬 Follow #AMA on social media: https://ama-assn.co/Social
📓 Access the Journal of the American Medical Association #JAMA login: https://ama-assn.co/JAMA
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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