Davies Award Case Studies
Discover how healthcare organizations have achieved the HIMSS Davies Award and learn why their contributions are significant to health information and technology. Explore Davies recipient case studies and other case studies in our Resource Center.
Applying for the Davies Award
Eligible Organizations
Hospitals*
Independent ambulatory practices
Community health organizations
Enterprise clinics
State or local public health organizations
*Includes integrated care delivery networks, academic medical centers
Required Industry Milestones
- Achieved sustainable improvement to clinical care outcomes and population health through the utilization of information and technology-enabled workflows, care standardization and analytics to drive quality improvement
- Hospital and health system applicants: Accomplished Stage 7 validation on one of the HIMSS Maturity Models
- Untethered ambulatory and community health center applicants: Demonstrated improved quality and care outcomes through trended data and exceeding defined benchmarks over a minimum of 18 months
- Public health applicants: Demonstration of public health benefits enabled through the use of information and technology for your jurisdiction
If your organization meets these eligibility and qualification requirements, email us to request more information. The 2023 Davies submission cycle is open starting September 15, 2022 and closes January 15, 2023. Finalists will be selected to receive a virtual site visit to validate the case studies. To receive the Davies Award case study template and learn more about how to submit, please email us.
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2023 Davies Award Recipients
Informatics
Case Studies
Informatics
Case Studies
Population and Public Health
Case Studies
Digital Health
Case Studies
Process Improvement
Case Studies
Population and Public Health
Case Studies
Emerging Technologies
Case Studies
Workflow
Case Studies
Health Information Exchange
Case Studies
2022 Davies Award Recipients
Texas Children's Hospital
Population and Public Health
Case Studies
Data Science
Case Studies
Process Improvement
Case Studies
Jefferson Health
Data Science
Case Studies