Human-centered design of a health recommender system for orthopaedic shoulder treatment

• Published in: BMC medical informatics and decision making Vol. 25; no. 1; pp. 17 - 12
• Main Authors: Singh, Akanksha, Schooley, Benjamin, Mobley, John, Mobley, Patrick, Lindros, Sydney, Brooks, John M., Floyd, Sarah B.
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 10.01.2025; BioMed Central; BMC
• Subjects: Clinical decision support; Data visualization; Decision making; Decision Making, Shared; Decision support systems; Decision Support Systems, Clinical - standards; Design analysis; Design standards; Electronic Health Records; Electronic medical records; Ethnography; Fractures; Health recommender system; Health services; Human factors; Human-centered design; Humans; Informatics; Information processing; Medical informatics; Medical personnel; Orthopaedic treatment; Orthopedics; Patients; Personalized medicine; Physicians; Prototypes; Recommender systems; Researchers; Scientific visualization; Shoulder surgery; Surgeons; Surgery; Surgery, Experimental; Surgical outcomes; Surgical research; Systems design; Technology application; Usability; User-Centered Design; United States; Human-centered design; Health recommender system; Human factors; Orthopaedic treatment; Proximal humerus fracture; Clinical decision support; Personalized medicine

Rich data on diverse patients and their treatments and outcomes within Electronic Health Record (EHR) systems can be used to generate real world evidence. A health recommender system (HRS) framework can be applied to a decision support system application to generate data summaries for similar patien...