Published on 19.05.16 in Vol 4, No 2 (2016): Apr-Jun
Works citing "Putting Meaning into Meaningful Use: A Roadmap to Successful Integration of Evidence at the Point of Care"
According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.4553):
(note that this is only a small subset of citations)
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Dagan N, Cohen-Stavi CJ, Avgil Tsadok M, Leibowitz M, Hoshen M, Karpati T, Akriv A, Gofer I, Gilutz H, Podjarny E, Bachmat E, Balicer RD. Translating clinical trial results into personalized recommendations by considering multiple outcomes and subjective views. npj Digital Medicine 2019;2(1)
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Garvin JH, Kim Y, Gobbel GT, Matheny ME, Redd A, Bray BE, Heidenreich P, Bolton D, Heavirland J, Kelly N, Reeves R, Kalsy M, Goldstein MK, Meystre SM. Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs. JMIR Medical Informatics 2018;6(1):e5
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Buchan TA, Ross HJ, McDonald M, Billia F, Delgado D, Duero Posada JG, Luk A, Guyatt GH, Alba AC. Physician Judgement vs Model-Predicted Prognosis in Patients With Heart Failure. Canadian Journal of Cardiology 2020;36(1):84
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Mercer K, Guirguis L, Burns C, Chin J, Dogba MJ, Dolovich L, Guénette L, Jenkins L, Légaré F, McKinnon A, McMurray J, Waked K, Grindrod KA. Exploring the role of teams and technology in patients’ medication decision making. Journal of the American Pharmacists Association 2019;59(2):S35
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Riahi S, Fischler I, Stuckey MI, Klassen PE, Chen J. The Value of Electronic Medical Record Implementation in Mental Health Care: A Case Study. JMIR Medical Informatics 2017;5(1):e1
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Salmi L, Côté P, Cedraschi C. Covering patient’s perspective in case‐based critical review articles to improve shared decision making in complex cases. Health Expectations 2020;23(5):1037
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Alba AC, Fan CS, Manlhiot C, Dipchand AI, Stehlik J, Ross HJ. The evolving risk of sudden cardiac death after heart transplant. An analysis of the ISHLT Thoracic Transplant Registry. Clinical Transplantation 2019;33(3)
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Wang E, Brenn BR, Matava CT. State of the art in clinical decision support applications in pediatric perioperative medicine. Current Opinion in Anaesthesiology 2020;33(3):388
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Verheij RA, Curcin V, Delaney BC, McGilchrist MM. Possible Sources of Bias in Primary Care Electronic Health Record Data Use and Reuse. Journal of Medical Internet Research 2018;20(5):e185
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Press A, Khan S, McCullagh L, Schachter A, Pardo S, Kohn N, McGinn T. Avoiding alert fatigue in pulmonary embolism decision support: a new method to examine ‘trigger rates’. Evidence Based Medicine 2016;21(6):203
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Simon G, DiNardo CD, Takahashi K, Cascone T, Powers C, Stevens R, Allen J, Antonoff MB, Gomez D, Keane P, Suarez Saiz F, Nguyen Q, Roarty E, Pierce S, Zhang J, Hardeman Barnhill E, Lakhani K, Shaw K, Smith B, Swisher S, High R, Futreal PA, Heymach J, Chin L. Applying Artificial Intelligence to Address the Knowledge Gaps in Cancer Care. The Oncologist 2019;24(6):772
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Cowley LE, Farewell DM, Maguire S, Kemp AM. Methodological standards for the development and evaluation of clinical prediction rules: a review of the literature. Diagnostic and Prognostic Research 2019;3(1)
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Lewkowicz D, Wohlbrandt A, Boettinger E. Economic impact of clinical decision support interventions based on electronic health records. BMC Health Services Research 2020;20(1)
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Gensheimer MF, Aggarwal S, Benson KR, Carter JN, Henry AS, Wood DJ, Soltys SG, Hancock S, Pollom E, Shah NH, Chang DT. Automated model versus treating physician for predicting survival time of patients with metastatic cancer. Journal of the American Medical Informatics Association 2021;28(6):1108
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Martinez-Garcia A, Naranjo-Saucedo AB, Rivas JA, Romero Tabares A, Marín Cassinello A, Andrés-Martín A, Sánchez Laguna FJ, Villegas R, Pérez León FDP, Moreno Conde J, Parra Calderón CL. A Clinical Decision Support System (KNOWBED) to Integrate Scientific Knowledge at the Bedside: Development and Evaluation Study. JMIR Medical Informatics 2021;9(3):e13182
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Scalia P, Ahmad F, Schubbe D, Forcino R, Durand M, Barr PJ, Elwyn G. Integrating Option Grid Patient Decision Aids in the Epic Electronic Health Record: Case Study at 5 Health Systems. Journal of Medical Internet Research 2021;23(5):e22766
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Kweon Y, Lee S. Nurses' Electronic Medical Record Workarounds in Mental Healthcare Settings. CIN: Computers, Informatics, Nursing 2021;39(10):592
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AlQudah AA, Al-Emran M, Shaalan K, Rezaei-Hachesu P. Medical data integration using HL7 standards for patient’s early identification. PLOS ONE 2021;16(12):e0262067
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Kao Y, Lee W, Tsai K, Liu C, Hsu C, Lin H, Huang C, Guo H, Abdel Ghafar MT. External validation of geriatric influenza death score: A multicenter study. PLOS ONE 2023;18(3):e0283475
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Spyropoulos AC, Goldin M, Koulas I, Solomon J, Qiu M, Ngu S, Smith K, Leung T, Ochani K, Malik F, Cohen SL, Giannis D, Khan S, McGinn T. Universal EHRs Clinical Decision Support for Thromboprophylaxis in Medical Inpatients. JACC: Advances 2023;2(8):100597
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Solomon J, Dauber-Decker K, Richardson S, Levy S, Khan S, Coleman B, Persaud R, Chelico J, King D, Spyropoulos A, McGinn T. Integrating Clinical Decision Support Into Electronic Health Record Systems Using a Novel Platform (EvidencePoint): Developmental Study. JMIR Formative Research 2023;7:e44065
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Ahmed HA, Al-Faris NA, Sharp JW, Abduljaber IO, Ghaida SSA. Managing Resource Utilization Cost of Laboratory Tests for Patients on Chemotherapy in Johns Hopkins Aramco Healthcare. Global Journal on Quality and Safety in Healthcare 2023;6(4):111
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