Launching HITECH.

By D. Blumenthal. New England Journal of Medicine, 2010

625 citations recorded by the source corpus.

Subfields: Health Information Management, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/c5ab7e136d408c243166b89cb98273a82ae80fee

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Citations in the corpus

Electronic health record adoption in US hospitals: the emergence of a digital “advanced use” divide (2017, background): “Over the past 6 years, US hospitals have rapidly adopted electronic health records (EHRs) in response to financial incentives through Medicare and Medicaid.(1,2) In the last national data, over threequarters of hospitals had adopted at least a basic EHR, up from 9% in 2008.”
Strategies for Handling Missing Data in Electronic Health Record Derived Data (2013, background): “Our general principles for measuring outcomes are as follows: (1).”
Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine (2015, neutral): “and incentivized their adoption and use [9].”
Automated identification of postoperative complications within an electronic medical record using natural language processing. (2011, background): “With the rapid expansion of electronic medical record (EMR) use, along with increased federal support for health care information technology, a far richer source of clinical information regarding hospital-related safety events has emerged.(12) The development of automated approaches, such as natural”
Clinical Information Extraction Applications: A Literature Review (2017, background): “Act) legislation in 2009, many health care institutions adopted EHRs, and the number of studies using EHRs has increased dramatically [1].”
Mining electronic health records: towards better research applications and clinical care (2012, background): “EHR adoption is growing thanks to initiatives like the US$19 billion HITECH act 10 in the United States and the €2 billion public–private partnership Innovative Medicines Initiative (IMI) 11 in the European Union.”
The Application of Medical Artificial Intelligence Technology in Rural Areas of Developing Countries (2018, background): “The results showed that 90% of the recommendations made by the system were concordant with the ones made by the tumor board, but the system only took 40 sec to complete the process.13,14 AI in EHRs In 2009, the United States Department of Health and Human Services started to encourage the adoption o”
Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA. (2013, methodology): “RELATIONSHIP OF USABILITY TO OPTIMAL HEALTHCARE PRACTICE To frame this discussion, the AMIA Task Force on Usability considered the following issues related to health IT: (1) safe and effective use of EHR, (2) EHR usability, and (3) EHR usability-associated medical errors.”