Mercy, the 5th largest Catholic health care system in the U.S., is dedicating efforts to ensure that situations similar to my sister’s never happen. Mercy recognized the opportunity to improve the quality of care and costs by employing standardization, noting that a large portion of the inefficiency in healthcare can be contributed to failures in care delivery, care coordination, and overtreatment.
Today, at HIMSS 2017, Jamie Oswald, MBA, MIM, Manager, Data Analytics & Engineering, Mercy and Kerry Bommarito, PhD, MPH, Performance Analyst, shared insight into a new project that the organization is running.
By using historical transaction data, Mercy leveraged the SAP BusinessObjects Analytics portfolio to create time-series models for each medication in its dispensing cabinets. These models forecast future inventory needs so that the organization can predict demand fluctuations, manage resources, and provide top quality care for patients.
Read the full story here.
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For more on Mercy, you can read this blog and this business transformation study.
VN:F [1.9.22_1171]Former SAP HANA Innovation Award Winner, Mercy, on Medication Optimization,