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Evaluation of Geisinger at Home (GaH) Patient Management

Geisinger Clinic · 2021
ClinicalTrials.gov · Datasets · License: Public Domain · 2021
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machine-learning
Healthcare cost has increased drastically in the last decade, and over 50% of the cost can be attributed to a small portion (5-10%) of the population. Certain clinical programs, such as home-based care, aim to reduce this utilization but need methods to identify the most appropriate patients to enroll. The Investigators believe that data-driven approaches can optimize this new healthcare delivery system to target patients who may likely benefit from the program. The primary aim of this project is to determine the effectiveness of the Geisinger at Home ™ (GaH) program on survival, emergency department (ED) visits and hospitalizations in multiple patient populations defined by clinical characteristics.
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