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Downloaded from https://academic.oup.com/jamia/article-abstract/25/11/1431/5151327 by Ed 'DeepDyve' Gillespie user on 06 November 2018 Journal of the American Medical Informatics Association, 25(11), 2018, 1431 doi: 10.1093/jamia/ocy150 Highlights Highlights Clinical informatics applications of medication reconciliation, decision support systems, and online portal patient-provider communications Lucila Ohno-Machado Editor-in-Chief This issue of JAMIA focuses on the use of patient- and provider- diagnostic errors in radiology, and Orestein (p. 1501) describes the facing applications for medication reconciliation and related topics. influence of simulation on EHR use patterns among pediatric It also presents original research on intended and non-intended con- residents. sequences of clinical decision support systems, algorithms and tools The detail in documenting care via EHRs is highly variable for “phenotyping” from electronic health records (EHRs), as well as across clinicians and institutions. Adelman (p. 1534) describes the tools and approaches to promote clinical research involving EHRs, use of EHRs to report inpatient stroke quality of care, while Rut- the biomedical literature, and patient-provider communications. kowski (p. 1524) shows that the number of diagnoses codes in inpa- Yin (p. 1444) describes how online portal communications between tient discharge notes is associated with counts and rates of birth breast cancer patients and physicians were used to determine medica- defects. tion discontinuation, Cronin (p. 1470) describes patient and clinician Identification and validation of case definitions for medical con- views on a patient-reported outcomes portal, and Yang (p. 1516) fo- ditions is systematically reviewed by McBrien (p. 1567), and reports cuses on discontinuation of new electronic prescriptions. Maryen on the portability of a phenotyping algorithm across institutions and (p. 1488) and Prey (p. 1460) report on patient-facing applications that EHR systems by Pacheco (p. 1540). While phenotypes are critical use tablets and a web site, respectively, for medication reconciliation. for research, two other modalities of data serve as fundamental com- Clinical decision support systems’ impact on clinical documenta- panions: environmental exposures, illustrated in a framework for tion and outcomes is also reported in this issue of the journal. Pow- development and validation of prenatal exposures by Boland ers (p. 1556) systematically reviews the literature on the efficacy and (p. 1432) and genetics, illustrated by Zhou’s (p. 1452) research on unintended consequences of hard-stop alerts in EHRs, Wright identifying symptom candidate genes via network embedding. (p. 1552) describes three cases of decision support system malfunc- Finally, AMIA’s 2018 code of professional conduct and ethics tion, Zhang (p. 1547) discusses how to develop and maintain deci- (p. 1579) is published in this issue. Never before has our specialty sion support systems using clinical knowledge and machine been so involved in complex privacy protections for clinical and re- learning, while Singh (p. 1481) uses machine learning for psychiatric search data. The code contains critical information on various patient triaging. Lacson (p. 1507) studies human factors leading to aspects of our profession. V The Author(s) 2018. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com
Journal of the American Medical Informatics Association – Oxford University Press
Published: Nov 1, 2018
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