Acute Care
Reduce patient’s length of stay in the Emergency Department by redefining patients’ journeys
Acute Care: reduce patient’s length of stay in the Emergency Department by redefining patients’ journeys
20-30%
of Emergency Department visits are inappropriate
10%
of all triaged patients across Emergency Departments leave without being observed
Emergency Departments are facing an always growing demand and patients are waiting too long
The number of emergency admissions is growing year by year, and many are not real emergencies. Stable patients are overusing hospitals' resources, urgent patients wait more than recommended, and there's a room for improvement in intra-ED processes - to reduce waits - and integration with other care levels - to reduce readmissions.
SolutionSupport decision making for complex patients, automate exams for low-risk admissions and discharge the patients safely with automated follow-ups.
Clinically detailed decision support system to diagnosis, referrals, hospitalization admission and discharges, to reduce unwarranted resource usage;
Anticipation of exams request for non-urgent patients, to reduce the number of medical interactions per patient;
Automatic post-discharge short follow-up when appropriate, so physicians can discharge the patient safely;
Interoperability capabilities linking different systems, to reduce task repetition.
BenefitsOptimize medical appointments resoluteness and length of stay in ED;
Reduce preventable admissions for mild conditions suitable for at-home care;
Increase ED capacity and reduce waiting times;
Increase compliance with best practices.
References
Ref: OECD (2017), Tackling Wasteful Spending on Health, OECD Publishing, Paris, https://doi.org/10.1787/9789264266414-en.
Ref: Uscher-Pines, L., Pines, J., Kellermann, A., Gillen, E., & Mehrotra, A. (2013). Emergency department visits for nonurgent conditions: systematic literature review. The American journal of managed care, 19(1), 47–59.
Ref: Sheraton, M., Gooch, C., & Kashyap, R. (2020). Patients leaving without being seen from the emergency department: A prediction model using machine learning on a nationwide database. Journal of the American College of Emergency Physicians open, 1(6), 1684–1690. https://doi.org/10.1002/emp2.12266
Clinical disclaimers
This example is just for illustration purposes. It presumes an institution/hospital is looking for ways to improve patient management processes in a specific context in which clinical decision support systems can be a tool to help healthcare professionals achieve that indirectly. UpHill Route does not claim any direct clinical benefit leading to patient length of stay reduction in emergency departments.
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