Learn more about Dan Soule

Author Bio

Dan Soule

Dan Soule joined Health Catalyst in February 2014 as Vice President of Product Management. Prior to coming to Health Catalyst, Dan worked for Medicity as Vice President of Product Management. He brings over 25 years of health IT experience at SpaceLabs, Cerner and Allscript, as well as 12 years of clinical experience at Good Samaritan Hospital in Phoenix. Dan has a Bachelor’s degree in Engineering from Arizona State University.

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Dan Soule

The Biggest Barriers to Healthcare Interoperability

Improving healthcare interoperability is a top priority for health systems today. Fundamental problems around improving interoperability include standardization of terminology and normalization of data to those standards. And, the volume of data healthcare IT systems produce exacerbates these problems.
While interoperability regulations focus on trying to make it easy to find and exchange patient data across multiple organizations and HIEs, the legislation’s lack of fine print and aggressive implementation timelines nearly ensures the proliferation of existing interoperability problems. This article discusses the biggest barriers to interoperability, possible solutions to interoperability problems, and why it matters.

Adam Bell
Carol Owen
Dan Soule
Eric Crawford

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:

Machine learning
Professional services
Data governance

Dan Soule

The 6 Critical Components of Population Health

This article examines how to define population health through a review of the top analytics research firms. It lands on a single theme, but in the process it uncovers six common categories of IT capabilities required to successfully manage population health:

Data Aggregation
Patient Stratification
Care Coordination
Patient Engagement
Performance Reporting

These six strategic components define the population health ecosystem, and successful organizations must multitask across these domains, working with an enterprise data warehouse, if they hope to thrive in value-based healthcare and become true partners and assets in their respective communities.

Dan Soule

Finding and Compiling Salient Population Health Data

Given the variety of payment contractors and models, ACOs have their hands full when it comes to assessing risk and managing population health. EMRs are one source of data for painting a partial picture of the population; claims and HIE data are limited, and the promise of FHIR is still a work in progress. To complete the picture, external data sources are necessary. Those are available in a variety of ways, including demographic analysis, and external EMRs from physician practices independent of the ACO. There are many challenges to stratifying risk, but there also many creative ways to pull in the data for accurately identifying the patient population, improving their health, and reducing costs.

Dan Soule

Advanced Care Management: Healing the Whole Patient

In the new world of value-based care, success is defined as consistently delivering excellent, value-based care, and improving patient outcomes, long-term. Making the vision of value-based care a reality will require a cross-functional team, focused on healing the entire patient according to the principles of advanced care management. Recognizing the needs of the whole patient, instead of only focusing on the specific condition, especially in a shared-risk arrangement, can have a profound effect on everyone, most importantly the patient. To achieve success the entire team, including physicians, nurses, social workers, psychiatrists, and social workers,   must work together and coordinate their efforts. Building a genuine and trusting relationship between the patient and care team is the cornerstone of ACM programs. Helping a patient feel better can inspire them to be an active part of their treatment plan. A successful ACM strategy can inspire the care team to drive long-term, tangible change, leading to improving outcomes for the organization and the patient.

Dan Soule

Why Most Analytic Applications Will Never Be Able to Significantly Improve Healthcare Outcomes

The availability of healthcare IT solutions can be overwhelming and all promise to solve an organization’s most pressing issues. While typical data and analytic applications are excellent at exposing opportunities for improvement that are impacting the bottom line, most are not effective at helping the organization determine what to do to address them and improve outcomes. However, a new approach to creating analytics applications is emerging. Analytics applications that incorporate best practices clinical content along with the best practices visualizations help everyone understand the problem and the solution. These applications also enable clinicians to better understand, adopt, roll out, and execute outcome improvement initiatives with healthcare systems. Health Catalyst has deliberately created a comprehensive, dynamic suite of applications that integrate clinical content and facilitate the orderly implementation of action plans.