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Management Resource Solutions is a Thousand Oaks, CA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Stowers Institute For Medical Research is one of the leading companies in the Healthcare, Pharmaceuticals, and Biotech sector.
Montefiore St. Luke`s Cornwall (MSLC) is a not-for-profit community hospital with campuses in Newburgh and Cornwall, NY. The hospital is dedicated to serving the health care needs of the Hudson Valley and has achieved excellence in the delivery of compassionate and comprehensive health care services. The Joint Commission noted MSLC for excellence in Key Quality Measures in the management of Heart Attack, Heart Failure, Stroke and Surgical Care. MSLC is also recognized as an industry leader in using information technology to improve patient care, by winning the Most Wired Award for the fourth year in a row. In January 2018, MSLC officially became part of the Montefiore Health System to strengthen the delivery of health care locally and enhance access to exceptional specialty care for Hudson Valley residents.
Carta empowers hospitals to personalize the delivery of care to the individual needs of each patient. Our insight here is that personalizing care is not only good from an outcome/clinical perspective (where most people focus in the context of personalization) but is also the best way to optimize operations. Currently, hospitals have to over provision their resources because they are set up to serve the generic patient; planning ahead for exactly the resources needed– no more, no less– is the best way to gain efficiency. The approach we`re advocating and enabling is to: 1) Find past patients similar to the current one being treated 2) Quantify what exactly happened to them during their journey through the hospital (this is where our model comes in) 3) Use machine learning to project what the particular patient in question will need, and what the patient can expect their experience to be in the hospital We`re applying this approach now to two use cases– supplies projection and bed usage projection– and we have a bunch of other use cases we`re planning on addressing in the future.