首页|University of Illinois Chicago Reports Findings in Artificial Intelligence (End user experience of a widely used artificial intelligence based sepsis system)
University of Illinois Chicago Reports Findings in Artificial Intelligence (End user experience of a widely used artificial intelligence based sepsis system)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Chicago, Illino is, by NewsRx editors, research stated, “Research on the Epic Sepsis System (ESS ) has predominantly focused on technical accuracy, neglecting the user experienc e of healthcare professionals. Understanding these experiences is crucial for th e design of Artificial Intelligence (AI) systems in clinical settings.” Our news journalists obtained a quote from the research from the University of I llinois Chicago, “This study aims to explore the socio-technical dynamics affect ing ESS adoption and use, based on user perceptions and experiences. Resident do ctors and nurses with recent ESS interaction were interviewed using purposive sa mpling until data saturation. A content analysis was conducted using Dedoose sof tware, with codes generated from Sittig and Singh’s and Salwei and Carayon’s fra meworks, supplemented by inductive coding for emerging themes. Interviews with 1 0 healthcare providers revealed mixed but generally positive or neutral percepti ons of the ESS. Key discussion points included its workflow integration and usab ility. Findings were organized into 2 main domains: workflow fit, and usability and utility, highlighting the system’s seamless electronic health record integra tion and identifying design gaps. This study offers insights into clinicians’ ex periences with the ESS, emphasizing the socio-technical factors that influence i ts adoption and effective use. The positive reception was tempered by identified design issues, with clinician perceptions varying by their professional experie nce and frequency of ESS interaction. The findings highlight the need for ongoin g ESS refinement, emphasizing a balance between technological advancement and cl inical practicality.”
ChicagoIllinoisUnited StatesNorth and Central AmericaArtificial IntelligenceBlood Diseases and ConditionsBlo odstream InfectionEmerging TechnologiesHealth and MedicineMachine LearningSepsisSepticemia
NETL
NSTL
