Name | Title | Contact Details |
---|---|---|
Pamela Hassen |
Chief Marketing Officer | Profile |
Pamela Hassen |
Chief Marketing Officer | Profile |
Amanda Diamond |
Talent Acquisition Specialist | Profile |
MS Health has the dope on drugs. The company provides sales management and market research services to clients in the pharmaceutical and health care industries. It tracks not only the sale of prescription drugs and over-the-counter products but also the productivity of individual sales representatives that work for its client companies. It offers market forecasts and surveys to physicians and hospitals about drugs they are prescribing to patients. IMS Health also offers consulting and other professional services.
Hospital Patient Services is a Phoenix, AZ-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Nuvisan Pharma Services is a Houston, TX-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Glengariff Health Care Ctr is a Glen Cove, NY-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
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.