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Informatics Team

Our Data Enterprise department is a support force that elevates the Geisinger enterprise from a pioneer of new technologies to an industry leader in customer care with Big Data.

Over the years, Geisinger has become well known for its innovative work in informatics. In fact, having used the Epic electronic health record (EHR) system since 1996, we’ve developed a deep partnership with Cerner Corporation for population health analytics, and we have an extensive data warehouse with clinical and claims data, social determinants of health, patient-reported outcomes and more.

Our work in informatics is focused on:

  • Improving quality of care
  • Enhancing operational effectiveness
  • Promoting population health management
  • Supporting innovative research
  • Educating the next generation of informatics professionals

Data management and governance

Our programs in data management and governance help us understand patient care and how we can improve the health of the people that we serve.

We maximize the value of data by resolving process, procedure and policy challenges related to data content, access and quality. Our key capabilities include:

  • Ingestion and modeling of high volume
  • High velocity data
  • Master data management (MDM)
  • Data cataloging
  • Data classification

Business intelligence and advanced analytics

Across the Geisinger enterprise, we transform data to insights using business intelligence capabilities and advanced analytics techniques.

Our interoperability team works with enterprise business leaders to provide deep workflow integration using application programming interfaces (API) and standards such as HL7 FHIR. Our analytics solution team supports knowledge delivery across our clinical and health plan operations, population health, innovative care delivery initiatives, and our clinical and health plan quality programs.

Our analysts, data scientists and engineers implement solutions to promote data-driven decision-making, to improve operational efficiency and enhance our patient and members’ experience.

Physician and pharmacy informatics

Our physician and pharmacy informaticians’ goal is to optimize health, healthcare and the experiences of our patients and staff through thoughtful application and configuration of health information technology with a relentless focus on usability. Understanding the needs of our patients, staff and organization drives prioritization, development and delivery of solutions that help to solve meaningful problems.

Our two-year ACGME-accredited Clinical Informatics (CI) Fellowship provides a unique experience for physicians who have successfully completed an accredited residency program in any medical specialty. Clinical informatics fellows learn informatics principles in a hands-on setting and have the opportunity to lead meaningful projects in healthcare transformation.

Meet our leadership team

  • David Vawdrey, PhD, chief data informatics officer
  • Ben Hohmuth, MD, chief medical informatics officer
  • Greg Strevig, vice president of enterprise analytics
  • Ilirjan Decka, vice president of data management
  • Andi Shapiro, MHA, associate vice president of informatics strategy

Data management

This component of the team ingests data from source systems such as Epic, Lawson, Cerner and KeyHIE, and then processes, cleans and normalizes the data into a comprehensive model. Data management provides advanced analytical tools and support, such as artificial neural networks (ANNs), machine learning (self-correcting ANNs) and natural language processing and visualization. It also provides discovery, development and operational support for the unified data architecture environment.

Business Intelligence Advanced Analytics

Enterprise information management is responsible for several functions within the Data Enterprise team, including creating and maintaining all reports and dashboards. It is responsible for Epic internal reporting and is the entry point and operational home for the Analytics Center of Excellence. This component also creates specialized databases for reporting and analytics from the Geisinger data lake and provides consulting services around data-driven programs and visualizations.

Data governance

This third element of Data Enterprise ensures the quality of the data used in all reports and analytics. Data governance clearly defines metrics, sources and algorithms for all reports and dashboards, as well as provides process, guidance and oversight of data access and usage to be sure we follow regulatory, policy and best practice guidelines. It is responsible for executing the master data management programs, such as provider data; for working on data literacy; and for supporting data-driven program consulting.

Data Enterprise also includes enterprise architects — knowledge experts in all facets of technology (e.g., business modeling, infrastructure, end-user, integration) who assist in new technology implements or complex systems development. Its software development team develops mobile, application and web-based software.


What we do

In work that supports all four of the Steele Institute for Health Innovation's foundational pillars, the Data Enterprise team maintains, digests and leverages healthcare analytics to:

  • Improve quality of care
  • Grow financial and operational effectiveness
  • Oversee innovative research 
  • Succeed in population health management 

Through data mining and information management, we seek to build a replicable model that can aid other healthcare systems in improving patient outcomes, controlling costs and impactful decision-making methods.

Our leadership team

  • David Vawdrey, PhD, Chief Data Informatics Officer
  • Ben Hohmuth, MD, Chief Medical Informatics Officer
  • Greg Strevig, Vice President of Enterprise Analytics
  • Ilirjan Decka, Vice President of Data Management
  • Andrea Shapiro, MHA, Associate Vice President of Informatics Strategy
Data enterprise