Stimulating the adoption of health information technology.
By D. Blumenthal. West Virginia Medical Journal, 2009
743 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/c0a47e58ba90b3571f7586650e5c8700cd449fa3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Wei-Qi Wei
- Joshua Charles Denny
- Peter F. Schulam
- Suchi Saria
- Abel N. Kho
- William K. Thompson
- P. Peissig
- K. Newton
Citations in the corpus
- Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery (2015, methodology): “Growing repositories of health data stored in electronic health record (EHR) databases and patient registries (Blumenthal 2009; Shea and Hripcsak 2010) present an exciting opportunity to identify disease subtypes in an objective, data-driven manner using tools from machine learning that can help to…”
- Best Care at Lower Cost: The Path to Continuously Learning Health Care in America (2013, background): “Resources devoted to those programs include $2 billion for programs by the National Coordinator, as well as almost $30 billion in Medicare and Medicaid incentive payments to physicians and hospitals (Blumenthal, 2009; Buntin et al., 2010).”
- Back to the Future: Achieving Health Equity Through Health Informatics and Digital Health (2019, background): “It has been postulated that EHR data streams could potentially facilitate the creation and longitudinal surveillance of standardized quality metrics of health equity for use by health systems to reduce disparities [103,104], lower health care costs, and ultimately improve patient experiences and hea”
- Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study (2012, methodology): “With recent initiatives promoting the widespread adoption of EMR, algorithms leveraging EMR-derived data for the identification of phenotypes may take on increasing importance.(12) 13 Candidate gene and GWAS have demonstrated a large number of genetic variants that contribute to T2D susceptibility p”