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Central Health Management is a healthcare staffing and recruiting agency that focuses on providing superior patient care by vetting top tier clinicians and offering a 24 hour staffing coverage model.
Genzyme Corporation is a fully owned subsidiary of Sanofi. Before its acquisition in 2011, Genzyme was an American biotechnology company based in Cambridge, Massachusetts. In 2010, Genzyme was the world`s third-largest biotechnology company, employing more than 11,000 people around the world. As a subsidiary of Sanofi, Genzyme has a presence in approximately 40 countries, including 17 manufacturing facilities and 9 genetic-testing laboratories, its products are sold in 90 countries. In 2007, Genzyme generated $3.8 billion in revenues with more than 25 products in the market. In 2006 and 2007 Genzyme was named one of Fortune Magazine`s “100 Best Companies to Work for”. The company donated $83 million worth of products worldwide; in 2006, it made $11 million in cash donations. In 2005, Genzyme was awarded the National Medal of Technology, the highest level of honor awarded by the president of the United States to America`s leading innovators.
Paradigm Healthcare is a East Hartford, CT-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Global Multi Media Pro Care is a Joplin, MO-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.