The "meaningful use" regulation for electronic health records.

By D. Blumenthal, M. Tavenner. 2010

2,056 citations recorded by the source corpus.

Subfields: Public Health, Environmental and Occupational Health

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Citations in the corpus

Natural Language Processing for EHR-Based Computational Phenotyping (2018, background): “Nationwide adoption of Electronic Health Records (EHRs) has given rise to a large amount of digital health data, which can be used for secondary analysis [2].”
From Use to Effective Use: A Representation Theory Perspective (2013, neutral): “health records (Blumenthal and Tavenner 2010).”
Using Electronic Health Records for Population Health Research: A Review of Methods and Applications (2015, background): “The implementation of meaningful use will likely accelerate capture and standardization of data and benefit epidemiologic research (14).”
Launching PCORnet, a national patient-centered clinical research network (2014, methodology): “19 20 PCORnet has chosen to develop a CDM, derived from the Mini-Sentinel CDM to enable ef ﬁ cient cross-networking querying.”
Attentive State-Space Modeling of Disease Progression (2019, background): “The follow-up data xt ∈ X is a multi-dimensional vector that comprises information on biomarkers and clinical events, such as treatments and ICD-10 diagnosis codes [2].”
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction (2020, background): “put source for disease prediction, offer rich and well-structured information that reflects the disease progression of each patient and are one of the most valuable resources for health data analysis [41,42]. Adapting the BERT framework to structured EHRs is a natural idea based on the analogy betwe”
Health Information Technology: An Updated Systematic Review With a Focus on Meaningful Use (2014, methodology): “In the United States, adoption of health information technology (IT) has been accelerated by the meaningful use incentive program, which provides financial incentives to individual health care providers and organizations that demonstrate that they use “certified” health IT to meet a set of several u”
Two-stage Federated Phenotyping and Patient Representation Learning (2019, background): “The ability to utilize clinical notes distributed at different healthcare providers not only benefits a specific clinical practice task but also facilitates building a learning healthcare system, in which meaningful use of knowledge in distributed clinical notes will speed up progression of medical ”
Normalized names for clinical drugs: RxNorm at 6 years (2011, methodology): “Only when providers enter orders electronically can the computer help improve decisions by applying clinical logic to those choices in light of all the recorded patient data.(24) E-prescribing is a starting point to realize the true potential of EHRs and thus we have named the subset an e-prescribin”
Caveats for the Use of Operational Electronic Health Record Data in Comparative Effectiveness Research (2013, positive): “The increasing adoption of electronic health records (EHRs) and their “meaningful use” offer great promise to improve the quality, safety, and cost of health care.(1) EHR adoption also has the potential to enhance our collective ability to advance biomedical and health care science and practice thro”
Electronic health records to facilitate clinical research (2016, background): “Ongoing projects, such as those conducted within the NIH Collaboratory and PCORnet [39, 41] in the United States or the Farr Institute of Health Informatics Research in Scotland, have demonstrated the feasibility of using EHRs for aspects of clinical research, particularly comparative effectiveness.”
Organizational issues in the implementation and adoption of health information technology innovations: An interpretative review (2013, neutral): “[1] D.”
An integrated big data analytics-enabled transformation model: Application to health care (2018, methodology): “In the United States, the HITECH Act, which is part of the Recovery and Reinvestment Act of 2009, introduced a meaningful use guide for EHR, emphasizing that the main objective is to create digital medical records, including the entry of basic data, and optimize the utilization of EHR [50].”
Understanding Relative and Absolute Change in Discontinuous Growth Models (2016, background): “As another example, broad efforts to implement electronic recording keeping in health care (Blumenthal & Tavenner, 2010) are producing longitudinal databases that will increasingly allow researchers to examine how events such as experiencing a work-related trauma or being exposed to a natural…”