Carol Owen

Senior Vice President, Interoperability

Carol Owen is the SVP of the Health Catalyst Interoperability team. Carol joined Health Catalyst in 2018 when Health Catalyst acquired Medicity where Carol worked for 18 years. While at Medicity, Carol held a wide variety of responsibilities ranging from directing product management, technology and operations. Most recently Carol was SVP of Operations reporting directly to the CEO. In this role she successfully operationalized client implementations, scaled the hosting and support functions to meet client demand and matured processes delivering more predictable revenue back into the business. Prior to Medicity Carol held a variety of roles including leading product strategy for a start-up EHR vendor, professional and technical recruiting for a larger ambulatory physician group, and managed the enrollment files of a HMO (and yes is embarrassed to admit managed member rosters using microfiche). Carol attended the University of Utah in Community Health focused on Patient Education.

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Pairing HIE Data with an Analytics Platform: Four Key Improvement Categories

Population health and value-based payment demand data from multiple sources and multiple organizations. Health systems must access information from across the continuum of care to accurately understand their patients’ healthcare needs beyond the acute-care setting (e.g., reports and results from primary care and specialists). While health system EHRs have a wealth of big-picture data about healthcare delivery (e.g., patient satisfaction, cost, and outcomes), HIEs add the clinical data (e.g., records and transactions) to round out the bigger picture of patient care, as well as the data sharing capabilities needed to disseminate the information.

By pairing HIE capability with an advanced analytics platform, a health system can leverage data to improve processes in four important outcomes improvement areas:
1. Workflow
2. Machine learning
3. Professional services
4. Data governance

Pairing HIE Data with an Analytics Platform: Four Key Improvement Categories

Population health and value-based payment demand data from multiple sources and multiple organizations. Health systems must access information from across the continuum of care to accurately understand their patients’ healthcare needs beyond the acute-care setting (e.g., reports and results from primary care and specialists). While health system EHRs have a wealth of big-picture data about healthcare delivery (e.g., patient satisfaction, cost, and outcomes), HIEs add the clinical data (e.g., records and transactions) to round out the bigger picture of patient care, as well as the data sharing capabilities needed to disseminate the information.

By pairing HIE capability with an advanced analytics platform, a health system can leverage data to improve processes in four important outcomes improvement areas:

1. Workflow
2. Machine learning
3. Professional services
4. Data governance

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