Browsing by Subject "Electronic medical record"

Now showing 1 - 7 of 7
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    The accuracy and completeness for receipt of colorectal cancer care using Veterans Health Administration administrative data.
    (BMC, 2016) Sherer, Eric A.; Fisher, Deborah A.; Barnd, Jeffrey; Jackson, George L.; Provenzale, Dawn; Haggstrom, David A.; Department of Medicine, IU School of Medicine
    The National Comprehensive Cancer Network and the American Society of Clinical Oncology have established guidelines for the treatment and surveillance of colorectal cancer (CRC), respectively. Considering these guidelines, an accurate and efficient method is needed to measure receipt of care.
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    Advance Care Planning in A Preoperative Clinic: A Retrospective Chart Review
    (Springer, 2019-01-02) Sinha, Shilpee; Gruber, Rachel N.; Cottingham, Ann H.; Nation, Barb; Lane, Kathleen A.; Bo, Na; Torke, Alexia; Medicine, School of Medicine
    Patients seen in preoperative testing clinics are at an increased risk of surgical complications and most are incapacitated for during anesthesia. Advance directives (ADs) are important to guide care in the event of emergencies when patients are unable to speak for themselves. The goal of this study was to determine the frequency with which ADs are completed for patients seen in preoperative clinics prior to elective surgery and identify demographic and clinical characteristics associated with having ADs available in the electronic medical record (EMR).
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    Deriving Place of Residence, Modified Rankin Scale, and EuroQol-5D Scores from the Medical Record for Stroke Survivors
    (Karger, 2021) Sucharew, Heidi; Kleindorfer, Dawn; Khoury, Jane C.; Alwell, Kathleen; Haverbusch, Mary; Stanton, Robert; Demel, Stacie; De Los Rios La Rosa, Felipe; Ferioli, Simona; Jasne, Adam; Mistry, Eva; Moomaw, Charles J.; Mackey, Jason; Slavin, Sabreena; Star, Michael; Walsh, Kyle; Woo, Daniel; Kissela, Brett M.; Neurology, School of Medicine
    Introduction: We sought to determine the feasibility and validity of estimating post-stroke outcomes using information available in the electronic medical record (EMR) through comparison with outcomes obtained from telephone interviews. Methods: The Greater Cincinnati Northern Kentucky Stroke Study is a retrospective population-based epidemiology study that ascertains hospitalized strokes in the study region. As a sub-study, we identified all ischemic stroke patients who presented to a system of 4 hospitals during the study period 1/1/2015–12/31/2015 and were discharged alive. Enrolled subjects (or proxies for cognitively-disabled patients) were contacted by telephone at 3 and 6 months post-stroke to determine current place of residence and two functional outcomes—the modified Rankin Score (mRS) and the EuroQol (EQ-5D). Concurrently, the lead study coordinator, blinded to the telephone assessment outcomes, reviewed all available EMRs to estimate outcome status. Agreement between outcomes estimated from the EMR with “gold-standard” data obtained from telephone interviews was analyzed using the kappa statistic or interclass correlation (ICC), as appropriate. For each outcome, EMR-determined results were evaluated for added value beyond the information readily available from the stroke hospital stay. Results: Of 381 ischemic strokes identified, 294 (median [IQR] age 70 [60–79] years, 4% black, 52% female) were interviewed post-stroke. Agreement between EMR and telephone for 3-month residence was very good (kappa=0.84, 95% CI 0.74–0.94), good for mRS (weighted kappa=0.75, 95% CI 0.70–0.80), and good for EQ-5D (ICC=0.74, 95% CI 0.68–0.79). Similar results were observed at 6 months post stroke. At both 3 and 6 months post stroke, EMR-determined outcomes added value in predicting the gold standard telephone results beyond the information available from the stroke hospitalization; the added fraction of new information ranged from 0.25 to 0.59. Conclusions: Determining place of residence, mRS, and EQ-5D outcomes derived from information recorded in the EMR post-stroke, without patient contact, is feasible and has good agreement with data obtained from direct contact. However, we note that the level of agreement for mRS and EQ-5D was higher for proxy interviews and that the EMR often reflects health care providers’ judgments that tend to overestimate disability and underestimate quality of life.
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    Do clinical decision-support reminders for medical providers improve isoniazid preventative therapy prescription rates among HIV-positive adults? Study protocol for a randomized controlled trial
    (BioMed Central, 2015-04-09) Green, Eric P.; Catalani, Caricia; Diero, Lameck; Carter, E. Jane; Gardner, Adrian; Ndwiga, Charity; Keny, Aggrey; Owiti, Philip; Israelski, Dennis; Biondich, Paul; Department of Medicine, IU School of Medicine
    BACKGROUND: This document describes a research protocol for a study designed to estimate the impact of implementing a reminder system for medical providers on the use of isoniazid preventative therapy (IPT) for adults living with HIV in western Kenya. People living with HIV have a 5% to 10% annual risk of developing active tuberculosis (TB) once infected with TB bacilli, compared to a 5% lifetime risk in HIV-negative people with latent TB infection. Moreover, people living with HIV have a 20-fold higher risk of dying from TB. A growing body of literature suggests that IPT reduces overall TB incidence and is therefore of considerable benefit to patients and the larger community. However, in 2009, of the estimated 33 million people living with HIV, only 1.7 million (5%) were screened for TB, and about 85,000 (0.2%) were offered IPT. METHODS/DESIGN: This study will examine the use of clinical decision-support reminders to improve rates of initiation of preventative treatment in a TB/HIV co-morbid population living in a TB endemic area. This will be a pragmatic, parallel-group, cluster-randomized superiority trial with a 1:1 allocation to treatment ratio. For the trial, 20 public medical facilities that use clinical summary sheets generated from an electronic medical records system will participate as clusters. All HIV-positive adult patients who complete an initial encounter at a study cluster and at least one return encounter during the study period will be included in the study cohort. The primary endpoint will be IPT prescription at 3 months post the initial encounter. We will conduct both individual-level and cluster-level analyses. Due to the nature of the intervention, the trial will not be blinded. This study will contribute to the growing evidence base for the use of electronic health interventions in low-resource settings to promote high-quality clinical care, health system optimization and positive patient outcomes. Trial registration ClinicalTrials.gov NCT01934309, registered 29 August 2013.
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    Mixture drug-count response model for the high-dimensional drug combinatory effect on myopathy
    (Wiley, 2018-02-20) Wang, Xueying; Zhang, Pengyue; Chiang, Chien-Wei; Wu, Hengyi; Shen, Li; Ning, Xia; Zeng, Donglin; Wang, Lei; Quinney, Sara K.; Feng, Weixing; Li, Lang; Radiology and Imaging Sciences, School of Medicine
    Drug-drug interactions (DDIs) are a common cause of adverse drug events (ADEs). The electronic medical record (EMR) database and the FDA's adverse event reporting system (FAERS) database are the major data sources for mining and testing the ADE associated DDI signals. Most DDI data mining methods focus on pair-wise drug interactions, and methods to detect high-dimensional DDIs in medical databases are lacking. In this paper, we propose 2 novel mixture drug-count response models for detecting high-dimensional drug combinations that induce myopathy. The "count" indicates the number of drugs in a combination. One model is called fixed probability mixture drug-count response model with a maximum risk threshold (FMDRM-MRT). The other model is called count-dependent probability mixture drug-count response model with a maximum risk threshold (CMDRM-MRT), in which the mixture probability is count dependent. Compared with the previous mixture drug-count response model (MDRM) developed by our group, these 2 new models show a better likelihood in detecting high-dimensional drug combinatory effects on myopathy. CMDRM-MRT identified and validated (54; 374; 637; 442; 131) 2-way to 6-way drug interactions, respectively, which induce myopathy in both EMR and FAERS databases. We further demonstrate FAERS data capture much higher maximum myopathy risk than EMR data do. The consistency of 2 mixture models' parameters and local false discovery rate estimates are evaluated through statistical simulation studies.
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    National Network of Depression Centers' Recommendations on Harmonizing Clinical Documentation of Electroconvulsive Therapy
    (Wolters Kluwer, 2022) Zandi, Peter P.; Morreale, Michael; Reti, Irving M.; Maixner, Daniel F.; McDonald, William M.; Patel, Paresh D.; Achtyes, Eric; Bhati, Mahendra T.; Carr, Brent R.; Conroy, Susan K.; Cristancho, Mario; Dubin, Marc J.; Francis, Andrew; Glazer, Kara; Ingram, Wendy; Khurshid, Khurshid; McClintock, Shawn M.; Pinjari, Omar F.; Reeves, Kevin; Rodriguez, Nelson F.; Sampson, Shirlene; Seiner, Stephen J.; Selek, Salih; Sheline, Yvette; Smetana, Roy W.; Soda, Takahiro; Trapp, Nicholas T.; Wright, Jesse H.; Husain, Mustafa; Weiner, Richard D.; Psychiatry, School of Medicine
    Electroconvulsive therapy (ECT) is a highly therapeutic and cost-effective treatment for severe and/or treatment-resistant major depression. However, because of the varied clinical practices, there is a great deal of heterogeneity in how ECT is delivered and documented. This represents both an opportunity to study how differences in implementation influence clinical outcomes and a challenge for carrying out coordinated quality improvement and research efforts across multiple ECT centers. The National Network of Depression Centers, a consortium of 26+ US academic medical centers of excellence providing care for patients with mood disorders, formed a task group with the goals of promoting best clinical practices for the delivery of ECT and to facilitate large-scale, multisite quality improvement and research to advance more effective and safe use of this treatment modality. The National Network of Depression Centers Task Group on ECT set out to define best practices for harmonizing the clinical documentation of ECT across treatment centers to promote clinical interoperability and facilitate a nationwide collaboration that would enable multisite quality improvement and longitudinal research in real-world settings. This article reports on the work of this effort. It focuses on the use of ECT for major depressive disorder, which accounts for the majority of ECT referrals in most countries. However, most of the recommendations on clinical documentation proposed herein will be applicable to the use of ECT for any of its indications.
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    Regenstrief teaching electronic medical record (tEMR) platform: a novel tool for teaching and evaluating applied health information technology
    (Oxford University Press, 2021-03-17) Takesue, Blaine Y.; Tierney, William M.; Embi, Peter J.; Mamlin, Burke W.; Warvel, Jeff; Litzelman, Debra K.; Medicine, School of Medicine
    The objective of this study is to provide an overview of the Regenstrief Teaching Electronic Medical Record (tEMR), how the tEMR could be used, and how it is currently being used in health professions education. The tEMR is a derivative of a real-world electronic health record (EHR), a large, pseudonymized patient database, and a population health tool designed to support curricular goals. The tEMR has been successfully adopted at 12 health professional, public health, and health information technology (HIT) schools, with over 11 800 unique student users and more than 74 000 logins, for case presentation, to develop diagnostic and therapeutic plans, and to practice documentation skills. With the exponential growth of health-related data and the impact of HIT on work-life balance, it is critical for students to get early EHR skills practice and understand how EHR’s work. The tEMR is a promising, scalable, flexible application to help health professional students learn about common HIT tools and issues.