Patients today expect consumer grade experience from their providers. They expect efficiency in any interaction with a hospital – all the way from registration to physician interactions and finally to billing. Patients are also very informed of medical conditions, treatment options and risks, and expect high value personalized care from physicians. According to some estimates, 82% of patients would switch providers after a bad experience. Providers are looking at innovative ways to meet these expectations and keeping patients satisfied.
With costs soaring and business models predicated on continued innovation, life sciences firms are searching for greater efficiency and agility. One of the most promising ways forward lies in harnessing the power and potential of machine learning (ML) tools. This Whitepaper considers several ways in which life sciences firms can use machine learning to favorably impact R&D productivity, clinical efficacy, and supply chain efficiency.