Washington University and Ottawa Hospital used synthetic data to review a sepsis prediction model used in both institutions over the course of two phone calls – avoiding months of conventional research arrangements.
Regulatory difficulties, workforce shortages, financial pressures, evolving patient expectations, an aging population and more will combine to make the next year uniquely challenging, say tech company CEOs, but they're challenges that can be met.
Photo: Courtesy Intermountain
Intermountain s pairing with MDClone has resulted in significant improvements for patients with chronic kidney disease and end stage renal disease.
The collaboration revamped the way Intermountain did kidney care, said Intermountain s Dr. Michael Phillips, chief for clinical and outreach services. It decreased admissions by about 90% by getting patients on a care path that allowed them, for instance, to have dialysis at home. All in all, it produced savings of $30 million in the year-and-a-half we ve been doing it, Phillips said.
The backbone of MDClone is a data lake that organizes patient data in a linear timeline and allows the health system to add virtually any information with a timestamp. This includes EHR, insurance and lab data, and factors for the social determinants of health.