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Leveraging machine learning and artificial intelligence to improve peripheral artery disease detection, treatment, and outcomes
Peripheral artery disease is an atherosclerotic disorder which, when present, portends poor
patient outcomes. Low diagnosis rates perpetuate poor management, leading to limb loss …
patient outcomes. Low diagnosis rates perpetuate poor management, leading to limb loss …
Leveraging physiology and artificial intelligence to deliver advancements in health care
Artificial intelligence in health care has experienced remarkable innovation and progress in
the last decade. Significant advancements can be attributed to the utilization of artificial …
the last decade. Significant advancements can be attributed to the utilization of artificial …
Two Decades Since To Err Is Human: An Assessment Of Progress And Emerging Priorities In Patient Safety
The Institute of Medicine's To Err Is Human, published in 1999, represented a watershed
moment for the US health care system. The report dramatically raised the profile of patient …
moment for the US health care system. The report dramatically raised the profile of patient …
[HTML][HTML] Artificial intelligence and the future of primary care: exploratory qualitative study of UK general practitioners' views
Background The potential for machine learning to disrupt the medical profession is the
subject of ongoing debate within biomedical informatics and related fields. Objective This …
subject of ongoing debate within biomedical informatics and related fields. Objective This …
Teaching critical thinking: a case for instruction in cognitive biases to reduce diagnostic errors and improve patient safety
CS Royce, MM Hayes, RM Schwartzstein - Academic Medicine, 2019 - journals.lww.com
Diagnostic errors contribute to as many as 70% of medical errors. Prevention of diagnostic
errors is more complex than building safety checks into health care systems; it requires an …
errors is more complex than building safety checks into health care systems; it requires an …
Patient safety issues from information overload in electronic medical records
S Nijor, G Rallis, N Lad, E Gokcen - Journal of Patient Safety, 2022 - journals.lww.com
Methods A literature search was performed using the Transparent Reporting of Systematic
Reviews and Meta-Analyses standards for literature review. PubMed and Web of Science …
Reviews and Meta-Analyses standards for literature review. PubMed and Web of Science …
[HTML][HTML] Unintended consequences of nationwide electronic health record adoption: challenges and opportunities in the post-meaningful use era
The US health system has recently achieved widespread adoption of electronic health
record (EHR) systems, primarily driven by financial incentives provided by the Meaningful …
record (EHR) systems, primarily driven by financial incentives provided by the Meaningful …
Human factors and usability for health information technology: old and new challenges
Objectives: Despite national mandates, incentives, and other programs, the design of health
information technology (IT) remains problematic and usability problems continue to be …
information technology (IT) remains problematic and usability problems continue to be …
Electronic health record usability: associations with nurse and patient outcomes in hospitals
Background: Electronic health record (EHR) usability issues represent an emerging threat to
the wellbeing of nurses and patients; however, few large studies have examined these …
the wellbeing of nurses and patients; however, few large studies have examined these …
Reducing alert burden in electronic health records: state of the art recommendations from four health systems
JD McGreevey III, CP Mallozzi… - Applied clinical …, 2020 - thieme-connect.com
Background Electronic health record (EHR) alert fatigue, while widely recognized as a
concern nationally, lacks a corresponding comprehensive mitigation plan. Objectives The …
concern nationally, lacks a corresponding comprehensive mitigation plan. Objectives The …