Eric Crawford, MBA, MHA

Head of Product - Interoperability, Analytics and Big Data

Eric Crawford has had numerous roles within Product Management in several health information technology (HIT) companies, with the latest being head of product at Health Catalyst/Medicity. In addition to product management and strategy, he has developed a strong repertoire of data mining, analysis, statistics, and data presentation. Prior to Health Catalyst, he worked as a consultant for Intermountain Healthcare’s Institute of Healthcare Delivery Research and directed the data collection and analysis for the nation’s largest Hospital Engagement Network (HEN). He was a key player in Intermountain's Big Data and Advanced Analytics teams and chartered and led the ROI Steering Committee. Eric has a background in human factors, quality improvement and training in statistical methods and modeling. He is a graduate of a Lean/Six-Sigma black belt course, Intermountain's Advanced Training Program, and has an MBA/MHA.

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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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