e.g. mhealth
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Skip search results from other journals and go to results- 3 JMIR Formative Research
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In this study, we aimed to develop an artificial intelligence (AI) model that can detect suspected patients with HAE using medical history data (claims and electronic medical records [EMRs]) in the United States. We then sought to validate the model’s performance in detecting HAE cases. In addition, we conducted a pilot study at Kyoto University Hospital (KUHP) using the EMR data to verify the model’s applicability to medical data obtained from the Japanese population.
JMIR Med Inform 2024;12:e59858
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The data captured by this system extend beyond the conventional medical needs captured by existing EMRs while providing the required flexibility necessary for the ever-changing needs in communities. Finally, it provides a platform to document and quantify community-related information from the needs of individual members to the presence of key partner organizations positioned to meet these needs.
JMIR Form Res 2024;8:e52920
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There are thousands of CDS projects built and deployed within commercial EMRs [13,14], yet there are few published evaluations of EMR-based CDSSsfor IBD [15,16]. Consequently, the objective of this pilot study was to evaluate the effectiveness and provider acceptance of an EMR-integrated CDSS in the context of IBD.
This study received approval from the University of Alberta Health Research Ethics Board (Pro00083538).
JMIR Med Inform 2024;12:e55314
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Medical claims data, electronic medical records (EMRs), and electronic health records (EHRs) are familiar sources of real-world data (RWD). They are often used secondarily to complement limitations in clinical trials. For example, they can characterize patient subgroups that are excluded from clinical trials by following eligibility criteria such as comorbidities or age.
JMIR Med Inform 2023;11:e39876
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For example, they found it difficult to document occupational history in the EMRs. A tool that fills these gaps and provides an opportunity for these data to be recorded would provide a major benefit to clinical practice.
Tools that present data in a unique manner, such as through visualizations of the data, benefit practice.
JMIR Form Res 2022;6(9):e37503
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Data from electronic medical records (EMRs) are commonly used in research and by health care systems, including the United States Department of Veterans Affairs (VA), to predict outcomes or assess care quality [5].
JMIR Form Res 2022;6(3):e31615
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Open Access as a Revolution: Knowledge Alters Power
In the technological category, these developments include the arrival of electronic medical records (EMRs) and government mandates, particularly in the United States.
J Med Internet Res 2019;21(12):e16368
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