Health and social care providers are under increasing pressure to provide better care and deliver better resultsóespecially for patients with coexisting and complex chronic conditions. High-risk, high-need individuals make up 20 percent of the total population, but they represent 80 percent of health and social care costs. In order to ensure sustainable care and create healthier communities, itís critical to identify and treat all patients quickly and effectively.
View this webinar on demand with IBM to see how innovative technologies make it possible to leverage massive amounts of data in order to drive insights that help deliver coordinated, patient-centered care. Get an in-depth look at the solutions that can improve patient experiences and increase the health of populations while reducing costs.
You will learn:
- How patient similarity and predictive analytics can help providers identify patients most at risk for conditions or diseases and support the best possible course of treatment
- Ways to leverage clinical, social and lifestyle data to improve decision-making and gain greater impact at the point of care
- How to collect and share information, reduce errors, and ensure better collaboration using automated data collection and visualization tools
***There is a Q&A session at the end of the presentation.
Client Solution Professional, Smarter Care Analytics, IBM
Paul is a predictive and advanced analytics specialist with IBMís Healthcare Analytics team. He specializes in data mining and machine learning and has 14 yearís experience designing and implementing analytics solutions in the Healthcare and Life Sciences Industries. Before joining IBM, Paul was at Pfizer, PwC, and in a prior career served as an Engineering Officer in the Royal Navy. He is a Chartered Accountant, and has a Masterís Degree in Predictive Analytics from Northwestern University.