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Aaptiv is a mobile fitness product that is reinventing the way people workout, with audio classes that combine the motivation of a professional trainer with an incredible playlist. From truly fun treadmill workouts to effective elliptical classes, and interval routines that burn major calories, start enjoying your cardio with Aaptiv. Our team is dedicated to the belief that high-quality fitness instruction should not be a privilege for a few, but a right for all. We don`t think of fitness as an end goal, but rather a tool that fuels a richer, more successful life. We are looking for team members who are excited and eager to support our members by building the world`s best audio fitness product!
With a reputation as an innovative provider of quality care, Southwell is a growing, not-for-profit health system serving 12 counties in South Central Georgia. Southwell offers more than 135 physicians with expertise in over 30 specialties. Southwell provides a wide-range of care, including signature services in surgery, oncology, cardiovascular care, women`s health, neurodiagnostics, geriatric psychiatric care, radiology and more. The Main Campus is Tift Regional Medical Center, a 181-bed regional referral hospital located in Tifton. Our Tifton West Campus houses various diagnostic services and the region`s largest multi-specialty clinic. Our Cook County campus is anchored by Southwell Medical, an acute care facility which includes state-of-the-art surgical services and a 12-bed geriatric psychiatric unit. The Cook campus also includes Southwell Health and Rehabilitation, a 95-bed skilled rehabilitation facility.
HealthWorks is a Calgary, AB-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
All Care Visiting Nurse Association Of Greater Lynn Inc is one of the leading providers in Healthcare, Pharmaceuticals, and Biotech. It is based in Lynn, MA. To find more information about All Care Visiting Nurse Association Of Greater Lynn Inc, please visit www.allcarevna.org
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.