Basic informatics literacy: building a health information technology workforce.
Author(s): Fridsma, Doug
DOI: 10.1093/jamia/ocw066
Author(s): Fridsma, Doug
DOI: 10.1093/jamia/ocw066
There is an increasing desire to share de-identified electronic health records (EHRs) for secondary uses, but there are concerns that clinical terms can be exploited to compromise patient identities. Anonymization algorithms mitigate such threats while enabling novel discoveries, but their evaluation has been limited to single institutions. Here, we study how an existing clinical profile anonymization fares at multiple medical centers.
Author(s): Heatherly, Raymond, Rasmussen, Luke V, Peissig, Peggy L, Pacheco, Jennifer A, Harris, Paul, Denny, Joshua C, Malin, Bradley A
DOI: 10.1093/jamia/ocv154
Stage 2 and proposed Stage 3 meaningful use criteria ask providers to support patient care coordination by electronically generating, exchanging, and reconciling key information during patient care transitions.
Author(s): Cohen, Genna R, Adler-Milstein, Julia
DOI: 10.1093/jamia/ocv147
Clinicians at our institution typically respond to about half of the prompts they are given by the clinic's computer decision support system (CDSS). We sought to examine factors associated with clinician response to CDSS prompts as part of a larger, ongoing quality improvement effort to optimize CDSS use.
Author(s): Bauer, Nerissa S, Carroll, Aaron E, Saha, Chandan, Downs, Stephen M
DOI: 10.1093/jamia/ocv148
Antimicrobial resistance is a growing, global public health crisis, due in large part to the overuse and misuse of antibiotics. Understanding medication allergy data and allergy reactions that are documented in electronic health records (EHRs) can help to identify opportunities to improve the quality of documentation of beta-lactam allergies, thus potentially reducing the prescribing of alternative antibiotics.
Author(s): Moskow, Jaclynn M, Cook, Nicole, Champion-Lippmann, Carisa, Amofah, Saint Anthony, Garcia, Angela S
DOI: 10.1093/jamia/ocv139
RxNorm is a standardized drug nomenclature maintained by the National Library of Medicine that has been recommended as an alternative to the National Drug Code (NDC) terminology for use in electronic prescribing. The objective of this study was to evaluate the implementation of RxNorm in ambulatory care electronic prescriptions (e-prescriptions).
Author(s): Dhavle, Ajit A, Ward-Charlerie, Stacy, Rupp, Michael T, Kilbourne, John, Amin, Vishal P, Ruiz, Joshua
DOI: 10.1093/jamia/ocv131
Mobile telemedicine involves the use of mobile device (e.g., cell phones, tablets) technology to exchange information to assist in the provision of patient care. Throughout the world, mobile telemedicine initiatives are increasing in number and in scale, but literature on their impact on patient outcomes in low-resource areas is limited. This study explores the potential impact of a mobile oral telemedicine system on the oral health specialty referral system in [...]
Author(s): Tesfalul, Martha, Littman-Quinn, Ryan, Antwi, Cynthia, Ndlovu, Siphiwo, Motsepe, Didintle, Phuthego, Motsholathebe, Tau, Boitumelo, Mohutsiwa-Dibe, Neo, Kovarik, Carrie
DOI: 10.1093/jamia/ocv140
Variation in the use of tests and treatments has been demonstrated to be substantial between providers and geographic regions. This study assessed variation between outpatient providers in overriding electronic prescribing warnings.
Author(s): Beeler, Patrick E, Orav, E John, Seger, Diane L, Dykes, Patricia C, Bates, David W
DOI: 10.1093/jamia/ocv117
Electronic medical record (EMR) databases offer significant potential for developing clinical hypotheses and identifying disease risk associations by fitting statistical models that capture the relationship between a binary response variable and a set of predictor variables that represent clinical, phenotypical, and demographic data for the patient. However, EMR response data may be error prone for a variety of reasons. Performing a manual chart review to validate data accuracy is time [...]
Author(s): Ouyang, Liwen, Apley, Daniel W, Mehrotra, Sanjay
DOI: 10.1093/jamia/ocv132
Antibiotic computerized decision support systems (CDSSs) were developed to guide antibiotic decisions, yet prescriptions of CDSS-recommended antibiotics have remained low. Our aim was to identify predictors of patients' receipt of empiric antibiotic therapies recommended by a CDSS when the prescribing physician had an initial preference for using broad-spectrum antibiotics.
Author(s): Chow, Angela L P, Lye, David C, Arah, Onyebuchi A
DOI: 10.1093/jamia/ocv120