| Name | Title | Contact Details |
|---|---|---|
Laura Holt |
Associate General Counsel | Profile |
Robert Mattix |
Sr. VP & Chief Revenue Officer | Profile |
Freddy Warner |
Chief Government Relations Officer | Profile |
Kristin Tiller |
Associate General Counsel | Profile |
Cathryn Schlesinger |
Associate General Counsel | Profile |
The National Quality Forum (NQF) is the nation`s resource for healthcare quality measurement and improvement. NQF is an independent, not-for-profit, membership-based organization that brings healthcare stakeholders together to recommend quality measures and improvement strategies that reduce costs and help patients get better care. NQF`s membership consists of more than 400 organizations that represent physicians, nurses, hospitals, healthcare systems, patients, families, health plans, employers, and others committed to healthcare quality. Through its multistakeholder membership, NQF facilitates an open and thorough dialogue on healthcare measurement and improvement, and leads national collaboration to improve health and healthcare quality for all Americans.
Genairex is a Clearwater, FL-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Health Products Express is a Winthrop, MA-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.
Blood Assurance is a Chattanooga, TN-based company in the Healthcare, Pharmaceuticals, and Biotech sector.