New prescriptive analytic strategies for reducing preventable harm
Of all the emerging technologies in medicine, such as robot-assisted surgery, virtual nursing assistants, and administrative workflow assistance, there is one that is likely to make the biggest impact on care quality, improved patient outcomes, reduced healthcare costs, and shortened time-to-market for drug discovery. Outcomes-based prescriptive and preventive analytics coupled with human clinical decision-making make for powerful “augmented intelligence” rather than artificial intelligence.
The new e-book from Jvion and Microsoft, Changing a Patient’s Risk Trajectory: New Prescriptive Analytic Strategies for Reducing Preventable Harm, describes in detail how this emerging capability can reduce the incidence of events such as falls, readmissions, and in-patient infections. It shows how prescriptive analytics technologies like the Jvion MachineTM can accelerate the application of analysis to the wealth of existing patient data available to healthcare providers for actionable clinical value. The e-book defines some of the common fallacies that cause many predictive analytics methods to fail. It then offers a blueprint for deriving value from data in a way that leads to real patient impact. The methodologies, strategies, and solutions described in Changing a Patient’s Risk Trajectory have resulted in lowering clinical resource use by 50%. The e-book offers real-life examples where improved insights for clinicians have led to measurably better patient outcomes. Finally, it gives readers 10 in-depth questions to ask about prescriptive analytics solutions to find the right one for their organizations.