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Cornerstone Retirement Cmnty is a Texarkana, TX-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
First DataBank, Inc. is a South San Francisco, CA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Ehealthfiles is a Atlanta, GA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Healthcare industry veterans Joe Caruncho – whose success at the helm of Preferred Care Partners led to annual sales in excess of $750 million – and Orlando Lopez-Fernandez, Jr., MD, founded Genuine Health Group to usher in a new era of healthcare delivery focused on value instead of volume. Today, Genuine Health is building a model for managing care delivery that embodies traditional values, promises reliability, and embraces flexibility and technology. Through its accountable care organization, PremierMD ACO, the company aims to improve healthcare outcomes, achieve cost savings for the care of patients who receive traditional, fee-for-service Medicare benefits, and serve as a single point of contact to move doctors` Medicare members into value-based care. And, through its management service organization (MSO), the company aims to deliver financial upside for its participating physicians whose patients are enrolled in Medicare Advantage plans. For both traditional Medicare beneficiaries and those who choose managed care plans, Genuine Health and its providers are demonstrating the powerful effects of value-based care.
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.