Did you know that more than half of the information contained in electronic medical records is unusable to health care organizations?
Mark Morsch, Optum360 Vice President of Technology, says studies show 60 to 80 percent of EMR content is unstructured. That means some data that could potentially be used to create a more complete picture of an individual patient or patient population is instead virtually inaccessible.
Unlocking this valuable cache of information requires giving it structure while preserving clinical context and meaning ― a capability that artificial intelligence (AI) can supply.
At South by Southwest® (SXSW), on March 9, Morsch presented a session entitled “AI in Health Care: Is It Worth the Investment?” Morsch has expertise in the natural language processing (NLP) segment of AI and holds five patents on NLP technology.
He says AI can interpret information from a variety of sources and assemble content into standard formats. What difference does that make? Organizing that data paves the way for in-depth analysis that can lead to a better understanding of diagnoses, procedures, findings, lab results, medications, and patient outcomes.
At his SXSW presentation Morsch explained the different categories of AI, how they can “understand” the clinical intent of a physician, and how AI can ultimately help doctors get to a diagnosis faster and drive value throughout the health care system.
Leading analytics ― like NLP and other forms of AI ― form a key part of health care intelligence. Learn more here.
Steve Griffiths, SVP and Chief Operating Officer, Optum Enterprise Analytics, Optum
Steve Griffiths has more than 20 years’ experience in health analytics management, and currently heads up the Optum Enterprise Analytics organization. His main focus is to drive growth and innovation through Optum products and services. Steve has a master’s degree in biostatistics from the University of Washington, and a PhD in health services research, policy and administration from the University of Minnesota.