SDoH: Advancing Individual-level Data to Drive Better Care
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Description
As a “free-range” child in the late ‘60s and early ‘70s, Dr. John Halamka rode his bicycle to the dumpsters of defense contractors, pulling out the integrated circuits they had thrown away. By age 14, he had gained an advanced understanding of technology, however his passion lied in biology and life sciences—which led to a “crazy idea”: “What if I made a career that brought together technology and service to patients?” Roughly a half century after his novel notion, Dr. Halamka joins Change Healthcare’s Tim Suther to share stories and lessons from the leading edge of incorporating social determinants of health (SDoH) and individual data into healthcare.   On today’s show, Dr. John Halamka joins Tim Suther to discuss gaps that exist between what we know about SDoH and individual-level data in healthcare, and how organizations are incorporating individual-level data to drive better care outcomes.   Today’s panel: Dr. John Halamka, president, Mayo Clinic Platform; and Tim Suther, senior vice president, data solutions at Change Healthcare.   Here’s what they chatted about: Why is the real-world healthcare experience still decidedly mixed despite knowledge that social determinates affect up to 80% of health outcomes? Lessons from the front lines of healthcare, including what works and what doesn’t. How we end up with incorrect or ineffective healthcare data, and the need for alternate sources of data. Incorporating social determinants into predictive algorithms, and where these algorithms are most likely to fail. Why “innovation without risk” is an unrealistic goal, and how organizations can approach innovation instead. Why healthcare organizations need to make data security a priority, along with an approach Mayo Clinic uses to protect patient data.
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