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St. Jude Medical is a global medical device manufacturer dedicated to transforming the treatment of some of the world’s most expensive epidemic diseases. We do this by developing cost-effective medical technologies that save and improve lives. St. Jude Medical provides safe and effective technologies that are of the highest quality—and that quality is something we take very seriously because we know patients around the world rely on our technologies. Our approximately 18,000 employees are passionate in their commitment to this priority. Headquartered in St. Paul, Minn., St. Jude Medical has four major clinical focus areas: cardiac rhythm management, atrial fibrillation, cardiovascular and neuromodulation. The St. Jude Medical product portfolio includes implantable cardioverter defibrillators (ICDs), cardiac resynchronization therapy (CRT) devices, pacemakers, remote monitoring systems, cardiac mapping and visualization systems, catheter-based ablation devices, vascular closure devices, structural heart products, spinal cord stimulation, peripheral nerve stimulation and deep brain stimulation devices. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, national origin, marital status, age, citizenship, protected veteran status, sexual orientation, gender identity and/or gender expression, status with respect to public assistance, or disability status.
MDWerks is a Deerfield Beach, FL-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
LifeMed Media, Inc is one of the leading companies in the Healthcare, Pharmaceuticals, and Biotech sector.
Bold Air Respiratory Inc is a Brick, NJ-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.