Browsing by Subject "electronic health record"

Now showing 1 - 4 of 4
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    Evaluation of a Dental Diagnostic Terminology Subset
    (IOS, 2019) Taylor, Heather L.; Siddiqui, Zasim; Frazier, Kendall; Thyvalikakath, Thankam; Cariology, Operative Dentistry and Dental Public Health, School of Dentistry
    The objective of this study was to determine how well a subset of SNODENT, specifically designed for general dentistry, meets the needs of dental practitioners. Participants were asked to locate their written diagnosis for tooth conditions among the SNODENT terminology uploaded into an electronic dental record. Investigators found that 65% of providers’ original written diagnoses were in “agreement” with their selected SNODENT dental diagnostic subset concept(s).
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    Medical Student Experiences With Accessing and Entering Patient Information in Electronic Health Records During the Ob/Gyn Clerkship
    (Elsevier, 2020-02) Hammoud, Maya M.; Foster, Lauren M.; Cuddy, Monica M.; Swanson, David B.; Wallach, Paul M.; School of Education
    Background Medical school graduates should be able to enter information from patient encounters and to write orders and prescriptions in the electronic health record. Studies have shown that, although students often can access electronic health records, some students may receive inadequate preparation for these skills. Greater understanding of student exposure to electronic health records during their obstetrics and gynecology clerkships can help to determine the extent to which students receive the educational experiences that may best prepare them for their future training and practice. Objective The purpose of this study was to examine medical student reporting of electronic health record use during the obstetrics and gynecology clerkship. Study Design A Step 2 Clinical Knowledge End-of-Examination Survey about electronic health record use was administered to medical students after they completed the Step 2 Clinical Knowledge component of the United States Medical Licensing Examination. For inpatient and outpatient rotations, students were asked if they accessed a record and if they entered notes or orders into it. Descriptive statistics for a sample of 16,366 medical students who graduated from Liaison Committee on Medical Education–accredited schools from 2012–2016 summarize student interactions with electronic health records by rotation type and graduation year. Chi-square techniques were used to examine mean differences in access and entry. Results The survey had an overall response rate of 70%. In 2016, most survey respondents (94%) accessed electronic health records during their obstetrics and gynecology clerkship, but 26% of them reported “read-only” access. On the inpatient service, <10% of students reported any order entry; 58% of them reported entering progress notes, and 47% of them reported entering an admitting history and physical. Conclusion Medical school graduates who are entering obstetrics and gynecology residencies are expected to be competent in documenting clinical encounters and entering orders, including those that are unique to obstetrics and gynecology. This study shows that some students may receive less experience with entering information into electronic health records during their obstetrics and gynecology clerkships than others, which could result in unequal levels of preparedness for graduate medical education.
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    Methods for Detecting Pediatric Adverse Drug Reactions from the Electronic Medical Record
    (Wiley, 2021-11) Joyner, Lydia M.; Alicea, Leah A.; Goldman, Jennifer L.; Suppes, Sarah L.; Tillman, Emma M.; Medicine, School of Medicine
    Adverse drug reactions (ADRs) are common, yet are often underreported making them difficult to track and study. Prospective pharmacovigilance programs significantly increase detection and reporting of ADRs. The aim of this pilot study was to apply triggers used by a prospective pharmacovigilance program at a free-standing children's hospital to retrospectively detect ADRs at our institution, therefore determining if these methods could be replicated and provide the basis for implementation of a prospective pharmacovigilance program. In 2019, our institution had 22,000 inpatient admissions and 51,000 emergency room visits and had 21 ADRs voluntarily reported in an electronic medication safety tracking system. Additional ADRs were identified by methods including new or modifications to the patient's allergy profile in the electronic medical record (EMR) and International Classification of Disease (ICD) codes. We identified 754 unique patients with changes to allergy profile and 5,719 ICD codes in 3,966 unique patients to evaluate. These triggers prompted screening of the EMR to validate the ADR, and we identified 280 ADRs occurring in 2019. Eight (2.8%) were identified solely by the electronic medication safety tracking system, 64 (23%) were identified by the allergy list, 110 (39%) were identified only by ICD coding, and the remaining 98 (35%) were identified by multiple methods. The use of triggers followed by review of the EMR identified thirteen-fold more ADRs than were voluntarily reported, illustrating the need for an active pharmacovigilance service and the successful use of multi-modal methods to detect and track ADRs. This article is protected by copyright. All rights reserved
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    Nutritional Assessment of Denture Wearers Using Matched Electronic Dental-Health Record Data
    (Wiley, 2022-08) Felix Gomez, Grace Gomez; Cho, Sopanis D.; Varghese, Roshan; Rajendran, Divya; Eckert, George J.; Bhamidipalli, Sruthi Surya; Gonzalez, Theresa; Khan, Babar Ali; Thyvalikakath, Thankam Paul; Cariology, Operative Dentistry and Dental Public Health, School of Dentistry
    Purpose To assess the nutritional profile of denture wearers through a retrospective cohort study using nutritional biomarkers from matched electronic dental and health record (EDR-EHR) data. Materials and methods The case group (denture wearers) included matched EDR-EHR data of patients who received removable partial, complete, and implant-supported prosthodontic treatments between January 1, 2010 and December 31, 2018, study time. The control (nondenture wearers) group did not have recorded denture treatments and included patient records within 1 year of the denture index date (first date of case patients’ receiving complete or partial denture) of the matching cases. The qualified patients’ EDR were matched with their EHR based on the availability of laboratory reports within 2 years of receiving the dentures (index date). Nutritional biomarkers were selected from laboratory reports for complete blood count, comprehensive and basic metabolic profile, lipid, and thyroid panels. Summary statistics were performed, and general linear mixed effect models were used to evaluate the rate of change over time (slope) of nutritional biomarkers before and after the index date. Likelihood ratio tests were performed to determine the differences between dentures and controls. Results The final cohort included 10,481 matched EDR-EHR data with 3,519 denture wearers and 6,962 controls that contained laboratory results within the study time. The denture wearers’ mean age was 57 ±10 years and the control group was 56 ±10 years with 55% females in both groups. Pre-post analysis among denture wearers revealed decreased serum albumin (p = 0.002), calcium (p = 0.039), creatinine (p < 0.001) during the post-index time. Hemoglobin (Hb) was higher pre-index, and was decreasing during the time period but did not change post-index (p < 0.001). Among denture wearers, completely edentulous patients had a significant decrease in serum albumin, creatinine, blood urea nitrogen (BUN), but increased estimated glomerular filtration rate (eGFR). In partially edentulous patients, total cholesterol decreased (p = 0.018) and TSH (p = 0.004), BUN (p < 0.001) increased post-index. Patients edentulous in either upper or lower arch had decreased BUN and eGFR during post-index. Compared to controls, denture wearers showed decreased serum albumin and protein (p = 0.008), serum calcium (p = 0.001), and controls showed increased Hb (p = 0.035) during post-index. Conclusions The study results indicate nutritional biomarker variations among denture wearers suggesting a risk for undernutrition and the potential of using selected nutritional biomarkers to monitor nutritional profile.