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New Original Clinical Research
Predictive Models to Optimize Resources in Tele Critical Care in Distributed Hospital Networks
Authors
Rafael Palacios, PhD, Eugenioio Sánchez-Úbeda, PhD, Ralph Panos, MD, Peniel Argaw, MS, Malika Shahrawat, MEng, Daniel D. Zhang, BS, Angelina Zhang, BS Senior Year, Adam Seiver, MD, PhD, MBA, Omar Badawi, PharmD, MPH, FCCM, Amar Gupta, PhD, MBA, FIEEE
https://doi.org/10.30953/thmt.v8.408
Telemedicine creates the opportunity to spread health care to regions where intensivists and health services may not be available. It offers the opportunity to provide better patient care, decrease healthcare costs, and overall improve population health.
Critical care telemedicine has increased in deployment due to its 24/7 care ability and reaches remote regions of the world. Tele-critical care (Tele-CC) systems can provide concurrent service to multiple hospitals, and manage available resources more efficiently than traditional ICUs.
This study utilizes the Philips eICU system and its CollaborativeResearch Database (eICU-CRD) to evaluate intensive
care operations in the electronic ICU setting, with the objective of analyzing where and how system engineering techniques can be applied to enhance the effectiveness of such environments.
Metrics evaluated include patient outcomes, APACHE score, length of stay and type of unit in regard to the age of the patient. Prediction models based on decision and regression trees are presented to estimate mortality and length of
stay.
Authors conclude prediction models accurately estimate mortality and length of stay in ICU. The estimation of future number of patients can be used to determine the resources needed at each hospital, as well as to provide insight on potential savings when Tele-CC centers provide concurrent services to multiple hospitals.
To learn more please visit https://doi.org/10.30953/thmt.v8.408 |
Telehealth and Medicine Today (THMT) is published by Partners in Digital Health. The journal examines the value of telehealth and clinical automation, computational health science, its use and scalable developments, business process guidance, immersive
patient experiences, market research, and the economic impact of digital health innovations advancing value based care across the care continuum. Original research articles and reviews feature perspectives from multiple disciplines including medicine, technology, policy, economic, education and social impact disciplines. Authors are encouraged to submit outcomes data to demonstrate real world cost efficiencies that enhance affordable, accessible, quality care through virtual and digital
treatment modalities.
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