Two healthcare technology leaders, Transparency Health and PYA Analytics, have entered into a partnership to provide insights for health systems to improve the quality of care for their high risk patients.
"NTELLISIGHTS helps hospitals improve patient satisfaction and quality of care, optimize care coordination strategies and minimize penalties from CMS for unnecessary readmissions," officials said. "For the past 10 years, PYA Analytics refined the process of providing true in-depth knowledge for data system architecture, predictive analytics, clinical applications and risk adjustment methodologies.
Combined with Transparency Health’s proven track record of creating and bringing to market solutions that manage the constant regulatory shifts within healthcare, NTELLISIGHTS is the emerging leader that both identifies and provides care strategies for those that are at highest risk for readmittance."
Rebekah Sharpe COO of NTELLISIGHTS, stated, “Transparency is excited to join forces with PYA Analytics to provide healthcare organizations with the tools to better manage the identification of patients at risk for early readmission and enable better care coordination post discharge. More than 25 percent of readmissions that occur within 30 days of discharge are due to conditions unrelated to the initial admission; therefore, a holistic approach to patient care post-discharge is important. By combining predictive analytics and care coordination tools, NTELLISIGHTS helps healthcare organizations improve both patient care and satisfaction, and lessens the financial penalties incurred by Medicare.”
Leigh McCormack joins the NTELLISIGHTS team as chief analytics officer. Ms. McCormack is a seasoned data scientist, statistician and researcher with a decade of experience in healthcare analytics in the academic and payer space. "McCormack provides unique insights on building, maintaining and integrating predictive models that enhance clinical strategy, operational efficiencyand consumer experience," officials said. "McCormack is the thought leader in identifying at risk patients at admission rather than discharge, which allows the health system to properly equip their staff to care for the patient population."