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Evasc Medical Systems is a Vancouver, BC-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
NextHealth Technologies (NHT), based in Denver CO, drives measurable medical cost reduction through a prescriptive analytics and consumer engagement platform. NextHealth’s proprietary SaaS platform integrates three foundational technologies - prescriptive analytics, behavioral economics, and multichannel consumer engagement. This end-to end, technology-enabled solution predicts risk reduction opportunities and then prescribes personalized member level actions or “nudges" to dramatically improve outcomes. NHT has been able to deliver a sustained and ground breaking 25% reduction in ER visits and over $17 per member per year in medical claims cost reduction for targeted commercial, ASO, and Medicaid populations. NHT offers over 30+ use cases including ER visit reduction, out-of-network reduction, and retention of high value individual members. NextHealth offers an at risk managed services contract based on 20% of causal claims savings. These results have led the company to be named by Gartner as one of the most innovative healthcare analytics vendors in the US. NHT’s multi-year software and managed services solution is currently contracted and supporting over 1.5 million members with some of the most reputable health plans in the country including: UnitedHealthcare, BlueCross BlueShield of Tennessee, and Colorado Access.
Vial is a leading clinical trial site network that runs highly efficient clinical trials. Vial operates a network of clinical trial research sites within Dermatology clinics across the country. Vials clinical trial recruiting engine, software and oper...
Adventist Health System is one of the leading providers in Healthcare, Pharmaceuticals, and Biotech. It is based in Winter Park, FL. To find more information about Adventist Health System, please visit www.locked-ahss.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.