CMS Payment Policy, E&M Guideline Reform, and the Prospect of Electronic Health Record Optimization.
Author(s): Basch, Peter, Smith, Jeffery R L
DOI: 10.1055/s-0038-1676337
Author(s): Basch, Peter, Smith, Jeffery R L
DOI: 10.1055/s-0038-1676337
Patient portals are expanding as a means to engage patients and have evidence for benefit in the outpatient setting. However, few studies have evaluated their use in the inpatient setting, or with vulnerable patient populations.
Author(s): Stein, Jacob N, Klein, Jared W, Payne, Thomas H, Jackson, Sara L, Peacock, Sue, Oster, Natalia V, Carpenter, Trinell P, Elmore, Joann G
DOI: 10.1055/s-0038-1676333
The gold standard for diagnosing sleep disorders is polysomnography, which generates extensive data about biophysical changes occurring during sleep. We developed the National Sleep Research Resource (NSRR), a comprehensive system for sharing sleep data. The NSRR embodies elements of a data commons aimed at accelerating research to address critical questions about the impact of sleep disorders on important health outcomes.
Author(s): Zhang, Guo-Qiang, Cui, Licong, Mueller, Remo, Tao, Shiqiang, Kim, Matthew, Rueschman, Michael, Mariani, Sara, Mobley, Daniel, Redline, Susan
DOI: 10.1093/jamia/ocy064
Telemedicine has been used to remotely diagnose and treat patients, yet previously applied telemonitoring approaches have been fraught with adherence issues. The primary goal of this study was to evaluate the adherence rates using a consumer-grade continuous-time heart rate and activity tracker in a mid-risk cardiovascular patient population. As a secondary analysis, we show the ability to utilize the information provided by this device to identify information about a patient's [...]
Author(s): Speier, William, Dzubur, Eldin, Zide, Mary, Shufelt, Chrisandra, Joung, Sandy, Van Eyk, Jennifer E, Bairey Merz, C Noel, Lopez, Mayra, Spiegel, Brennan, Arnold, Corey
DOI: 10.1093/jamia/ocy067
Standard approaches for large scale phenotypic screens using electronic health record (EHR) data apply thresholds, such as ≥2 diagnosis codes, to define subjects as having a phenotype. However, the variation in the accuracy of diagnosis codes can impair the power of such screens. Our objective was to develop and evaluate an approach which converts diagnosis codes into a probability of a phenotype (PheProb). We hypothesized that this alternate approach for [...]
Author(s): Sinnott, Jennifer A, Cai, Fiona, Yu, Sheng, Hejblum, Boris P, Hong, Chuan, Kohane, Isaac S, Liao, Katherine P
DOI: 10.1093/jamia/ocy056
Diagnosis is complex, uncertain, and error-prone. Symptoms such as nonspecific abdominal pain are especially challenging. A diagnostic path consists of diagnostic steps taken from initial presentation until a diagnosis is obtained or the evaluation ends for other reasons. Analysis of diagnostic paths can reveal patterns associated with more timely and accurate diagnosis. Visual analytics can be used to enhance both analysis and comprehension of diagnostic paths.
Author(s): Rao, Goutham, Kirley, Katherine, Epner, Paul, Zhang, Yiye, Bauer, Victoria, Padman, Rema, Zhou, Ying, Solomonides, Anthony
DOI: 10.1055/s-0038-1676338
Drug-drug interaction (DDI) alerts are often implemented in the hospital computerized provider order entry (CPOE) systems with limited evaluation. This increases the risk of prescribers experiencing too many irrelevant alerts, resulting in alert fatigue. In this study, we aimed to evaluate clinical relevance of alerts prior to implementation in CPOE using two common approaches: compendia and expert panel review.
Author(s): Meslin, S M M, Zheng, W Y, Day, R O, Tay, E M Y, Baysari, M T
DOI: 10.1055/s-0038-1676039
Author(s): Koppel, Ross
DOI: 10.1055/s-0038-1675811
This article describes the method of integrating a manual pediatric emergency department sepsis screening process into the electronic health record that leverages existing clinical documentation and keeps providers in their current, routine clinical workflows.
Author(s): Lloyd, Julia K, Ahrens, Erin A, Clark, Donnie, Dachenhaus, Terri, Nuss, Kathryn E
DOI: 10.1055/s-0038-1675211
Clinician progress notes are an important record for care and communication, but there is a perception that electronic notes take too long to write and may not accurately reflect the patient encounter, threatening quality of care. Automatic speech recognition (ASR) has the potential to improve clinical documentation process; however, ASR inaccuracy and editing time are barriers to wider use. We hypothesized that automatic text processing technologies could decrease editing time [...]
Author(s): Lybarger, Kevin J, Ostendorf, Mari, Riskin, Eve, Payne, Thomas H, White, Andrew A, Yetisgen, Meliha
DOI: 10.1055/s-0038-1673417