Precision emergency medicine in health care delivery and access: Framework development and research priorities.

BACKGROUND: The integration of precision emergency medicine (EM) into our conceptualization of the health care system affords the opportunity to improve health care access, delivery, and outcomes for patients. As part of the Society for Academic Emergency Medicine (SAEM) Consensus Conference, we conducted a rapid literature review to characterize the current state of knowledge pertaining to the intersection of precision EM (defined as the use of big data and technology to deliver acute care for individual patients and their communities) with health care delivery and access. We then used our findings to develop a proposed conceptual model and research agenda. METHODS: We completed a rapid review of the existing literature on the utilization of big data and technology to ensure and enhance access to acute/unscheduled care for individual patients and their communities. Literature searches were conducted using Ovid MEDLINE, Embase.com, Cochrane CENTRAL via Ovid, and ClinicalTrials.gov in January 2023. Using the identified articles, we determined core domains, developed a framework to guide the conceptualization of precision EM in health care delivery and access, and used these to identify a research agenda. RESULTS: Of the 815 studies identified for initial screening, 60 underwent full-text review by our technical expert panel and 21 were included in the evaluation. Core domains identified included expedited/personalized prehospital care, delivery to the right level of care, personalized ED care, alternatives to ED care/post-ED care, prediction tools for system readiness, and creation of equitable systems of care. A research agenda with four priority research questions was defined following identification of the core domains. CONCLUSIONS: Precision EM includes consideration of the health care delivery system as a mechanism for improving access to emergency care using data-driven strategies. This provides a unique opportunity to use data and technology to advance systems of care while also centering patients, communities, and equity in these advances.

Can the American College of Surgeons Risk Calculator Predict 30-Day Complications After Knee and Hip Arthroplasty?

Accurate risk stratification of patients undergoing total hip (THA) and knee (TKA) arthroplasty is essential in the highly scrutinized world of pay-for-performance, value-driven healthcare. We assessed the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) surgical risk calculator's ability to predict 30-day complications using 1066 publicly-reported Medicare patients undergoing primary THA or TKA. Risk estimates were significantly associated with complications in the categories of any complication (P = .005), cardiac complication (P < .001), pneumonia (P < .001) and discharge to skilled nursing facility (P < .001). However, predictability of complication occurrence was poor for all complications assessed. To facilitate the equitable provision and reimbursement of patient care, further research is needed to develop accurate risk stratification tools in TKA and THA surgery.