Robotics & Machine Learning Daily News2024,Issue(Feb.28) :58-58.

Cardiology Section Reports Findings in Artificial Intelligence (Artificial intelligence predictive analytics in heart failure: results of the pilot phase of a pragmatic randomized clinical trial)

Robotics & Machine Learning Daily News2024,Issue(Feb.28) :58-58.

Cardiology Section Reports Findings in Artificial Intelligence (Artificial intelligence predictive analytics in heart failure: results of the pilot phase of a pragmatic randomized clinical trial)

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Abstract

New research on Artificial Intelligence is the subject of a report. According to news reporting originating in Salt Lake City, Utah, by NewsRx journalists, research stated, "We conducted an implementation planning process during the pilot phase of a pragmatic trial, which tests an intervention guided by artificial intelligence (AI) analytics sourced from noninvasive monitoring data in heart failure patients (LINK-HF2). A mixed-method analysis was conducted at 2 pilot sites." The news reporters obtained a quote from the research from Cardiology Section, "Interviews were conducted with 12 of 27 enrolled patients and with 13 participating clinicians. iPARIHS constructs were used for interview construction to identify workflow, communication patterns, and clinician's beliefs. Interviews were transcribed and analyzed using inductive coding protocols to identify key themes. Behavioral response data from the AI-generated notifications were collected. Clinicians responded to notifications within 24 hours in 95% of instances, with 26.7% resulting in clinical action. Four implementation themes emerged: (1) High anticipatory expectations for reliable patient communications, reduced patient burden, and less proactive provider monitoring. (2) The AI notifications required a differential and tailored balance of trust and action advice related to role. (3) Clinic experience with other home-based programs influenced utilization. (4) Responding to notifications involved significant effort, including electronic health record (EHR) review, patient contact, and consultation with other clinicians. Clinician's use of AI data is a function of beliefs regarding the trustworthiness and usefulness of the data, the degree of autonomy in professional roles, and the cognitive effort involved. The implementation planning analysis guided development of strategies that addressed communication technology, patient education, and EHR integration to reduce clinician and patient burden in the subsequent main randomized phase of the trial."

Key words

Salt Lake City/Utah/United States/North and Central America/Artificial Intelligence/Cardiology/Cardiovascular Diseases and Conditions/Clinical Research/Clinical Trials and Studies/Emerging Technologies/Health and Medicine/Heart Disease/Heart Disorders and Diseases/Heart Failure/Machine Learning/Predictive Analytics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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