دورية أكاديمية
Future of electronic health records: implications for decision support.
| العنوان: | Future of electronic health records: implications for decision support. |
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| المؤلفون: | Rothman B; Department of Anesthesiology, Vanderbilt University School of Medicine, Nashville, TN, USA. brian.rothman@vanderbilt.edu, Leonard JC, Vigoda MM |
| المصدر: | The Mount Sinai journal of medicine, New York [Mt Sinai J Med] 2012 Nov-Dec; Vol. 79 (6), pp. 757-68. |
| نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't; Review |
| اللغة: | English |
| بيانات الدورية: | Publisher: John Wiley & Sons Country of Publication: United States NLM ID: 0241032 Publication Model: Print Cited Medium: Internet ISSN: 1931-7581 (Electronic) Linking ISSN: 00272507 NLM ISO Abbreviation: Mt Sinai J Med Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: Hoboken, NJ : John Wiley & Sons Original Publication: New York : Mount Sinai Hospital, Committee on Medical Education and Publications] |
| مواضيع طبية MeSH: | Decision Support Systems, Clinical/*organization & administration , Electronic Health Records/*organization & administration, Anesthesiology/methods ; Anesthesiology/organization & administration ; Cost Control ; Decision Support Systems, Clinical/economics ; Decision Support Systems, Clinical/standards ; Decision Support Systems, Clinical/trends ; Documentation/standards ; Electronic Health Records/economics ; Electronic Health Records/standards ; Electronic Health Records/trends ; Guideline Adherence ; Humans ; Medication Errors/prevention & control ; Patient Safety ; Practice Guidelines as Topic ; Quality Improvement ; United States |
| مستخلص: | The potential benefits of the electronic health record over traditional paper are many, including cost containment, reductions in errors, and improved compliance by utilizing real-time data. The highest functional level of the electronic health record (EHR) is clinical decision support (CDS) and process automation, which are expected to enhance patient health and healthcare. The authors provide an overview of the progress in using patient data more efficiently and effectively through clinical decision support to improve health care delivery, how decision support impacts anesthesia practice, and how some are leading the way using these systems to solve need-specific issues. Clinical decision support uses passive or active decision support to modify clinician behavior through recommendations of specific actions. Recommendations may reduce medication errors, which would result in considerable savings by avoiding adverse drug events. In selected studies, clinical decision support has been shown to decrease the time to follow-up actions, and prediction has proved useful in forecasting patient outcomes, avoiding costs, and correctly prompting treatment plan modifications by clinicians before engaging in decision-making. Clinical documentation accuracy and completeness is improved by an electronic health record and greater relevance of care data is delivered. Clinical decision support may increase clinician adherence to clinical guidelines, but educational workshops may be equally effective. Unintentional consequences of clinical decision support, such as alert desensitization, can decrease the effectiveness of a system. Current anesthesia clinical decision support use includes antibiotic administration timing, improved documentation, more timely billing, and postoperative nausea and vomiting prophylaxis. Electronic health record implementation offers data-mining opportunities to improve operational, financial, and clinical processes. Using electronic health record data in real-time for decision support and process automation has the potential to both reduce costs and improve the quality of patient care. (© 2012 Mount Sinai School of Medicine.) |
| تواريخ الأحداث: | Date Created: 20121215 Date Completed: 20131217 Latest Revision: 20220317 |
| رمز التحديث: | 20221213 |
| DOI: | 10.1002/msj.21351 |
| PMID: | 23239213 |
| قاعدة البيانات: | MEDLINE |
| تدمد: | 1931-7581 |
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| DOI: | 10.1002/msj.21351 |