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115 results for “electronic health records”
Patient-reported outcomes via electronic health record portal vs. telephone: process and retention data in a pilot trial of anxiety or depression symptoms in epilepsy
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Ambiguity in medical concept normalization: An analysis of types and coverage in electronic health record datasets
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Data from: Physician champions' perspectives and practices on electronic health records implementation: challenges and strategies
<p><span><span><span><b>Objective: </b>Physician champions are "boots on the ground" physician leaders who facilitate the implementation of, and transition to, new health information technology (HIT) systems within an organization. They are commonly cited as key personnel in HIT implementations, yet little research has focused on their practices and perspectives. </span></span></span></p> <p><span><span><span><b>Methods: </b>We addressed this research gap through a qualitative study of physician champions that aimed to capture their challenges and strategies during a large-scale HIT implementation. Email interviews were conducted with 45 physician champions from diverse clinical areas five months after a new electronic health record (EHR) system went live in a large academic medical center. We adopted a grounded theory approach to analyze the data.</span></span></span></p> <p><span><span><span><b>Results: </b>Our physician champion participants reported multiple challenges, including insufficient training, limited at-the-elbow support, unreliable communication with leadership and the EHR vendor, as well as flawed system design. To overcome these challenges, physician champions developed their own personalized training programs in a simulated context or in the live environment, sought and obtained more at-the-elbow support both internally and externally, and adapted their departmental sociotechnical context to make the system work better.</span></span></span></p> <p><b>Discussion and Conclusion: </b>This study identified the challenges physician champions faced and the strategies they developed to overcome these challenges. Our findings suggest<b> </b>factors that are crucial to the successful involvement of physician champions in HIT implementations, including the availability of instrumental (e.g., reward for efforts), emotional (e.g., mechanisms for expressing frustrations), and peer support; ongoing engagement with the champions; and appropriate training and customization planning.</p>
Data from: Requirements and access needs of patients with chronic disease to their hospital electronic health record: results of a cross-sectional questionnaire survey
Objectives: To identify patient's views on the functionality required for personalised access to the secondary care EHR and their priorities for development. Design: Quantitative analysis of a cross-sectional self-complete survey of patient views on required EHR functionality from a secondary care EHR, including a patient ranking of functionality. Setting: Secondary care patients attending a regional cystic fibrosis unit in the north of England Participants: 201 adults [106 (52.7%) male], median age 29 years (range 17-58 years) entered and completed the study. Inclusion criteria; a confirmed diagnosis of CF, aged 16 years and over, at a time of clinical stability Outcome measures: Quantitative responses within 4 themes; 1) value placed on aspects of the EHR; 2) access requirements to functions of the EHR; 3) views on information sent to the EHR 4) patient feedback entered into the EHR. A ranked score for 15 functions of the EHR was obtained Results: Highest ratings (% reporting item as very important/important) were reported for access to clinical measures [lung function (94%), CRP (84%), sputum microbiology (81%) and blood results (80%)], medication changes (82%) and lists (83%) and sending repeat prescription (83%) and treatment requests (80%), whilst sending symptom diaries was less so (62%). Email contact with clinicians was the most valuable communication element of the EHR (84% very important/important). Of 15 features of the EHR [1=most desirable to 15=least desirable) patients identified 'clinical measures' [2.62 (CI 2.07-3.06)], and 'access to medication lists' [4.91 (CI 4.47-5.44)], as highest priority for development and the ability to comment on errors/ommissions [11.0 (CI 10.6-11.5)] or experience of care [11.8 (CI 11.4-12.2)] as lowest. Conclusions: Patients want extensive personal access to their hospital EHR, placing high importance on the viewing of practical clinical measures and medication management. These influence routine day to day care and are priorities for development
Predicting the physiological effects of multiple drugs using electronic health record
<p><span>Supplementary Data 1. Optimized hyperparameters of the XGBoost classifiers for the 20 selected measurement items.</span></p> <p><span>Supplementary Data 2. Information on 416 active pharmaceutical ingredients (APIs) used to develop the machine learning models for the 20 selected measurement items.</span></p> <p><span>Supplementary Data 3. List of top 20 features with the highest feature importance for each XGBoost classifier according to the SHAP analysis (Fig. 4).</span></p> <p><span>Supplementary Data 4. AUROC of the XGBoost classifiers for the 20 measurement items by using pairwise combinations of feature types as input, and using race-specific and sex-specific MIMIC-IV datasets.</span></p>
Data from: Identifying patterns of non-communicable diseases in developed eastern coastal China: a longitudinal study of electronic health records from 12 public hospitals
Objective: Few studies have examined the spectrum and trends of non-communicable diseases (NCDs) in inpatients in eastern coastal China, which is transforming from an industrial economy to a service-oriented economy and is the most economically developed region in the country. This study aimed to dynamically elucidate the spectrum and characteristics of severe NCDs in eastern coastal China by analysing patients' longitudinal electronic health records (EHRs). Setting: To monitor the spectrum of NCDs dynamically, we extracted the EHR data from 12 general tertiary hospitals in eastern coastal China from 2003 to 2014. The rankings of and trends in the proportions of different NCDs presented by inpatients in different gender and age groups were calculated and analysed. Participants: We obtained a total sample of 1,907,484 inpatients with NCDs from 2003 to 2014, 50.05% of whom were male and 81.53% were aged 50 years or older. Results: There was an increase in the number of total NCD inpatients in eastern coastal China from 2003 to 2014. However, the proportion of chronic respiratory diseases and cancer inpatients decreased over the 12-year period. Compared with men, women displayed a significant increase in the proportion of mental and behavioural disorders (P<0.001) over time. Additionally, digestive diseases and sensory organ diseases significantly decreased among men, but not women. The older group accounted for a larger and growing proportion of the NCD inpatients, and the most common conditions in this group were cerebral infarctions, coronary heart disease and hypertension. In addition, the proportion of 21- to 50-year-old inpatients with diabetes, blood diseases or endocrine diseases skyrocketed from 2003 to 2014 (P<0.001). Conclusions: The burden of inpatients' NCDs increased rapidly, particularly among women and younger people. The NCD spectrum observed in eastern coastal China is a good source of evidence for developing prevention guides for regions experiencing transition.
Assessing the Immunization Information System and Electronic Health Record interface accuracy for COVID-19 vaccinations
<p><strong>Objective</strong></p> <p>Our objective is to assess the accuracy of the COVID-19 vaccination status within the Electronic Health Record for a panel of patients in a primary care practice when manual queries of the state immunization databases are required to access outside immunization records.</p> <p><strong>Results</strong></p> <p>A manual query of the local Immunization Information Systems for 4,114 adult patients with "unknown" vaccination status showed 44% of the patients were previously vaccinated. Attempts to assess the comprehensiveness of the Immunization Information Systems were hampered by incomplete documentation in the chart and poor response to patient outreach.</p> <p><strong>Conclusions </strong></p> <p>When the interface between the patient chart and the local Immunization Information System depends on a manual query for the transfer of data, the COVID-19 vaccination status for a panel of patients is often inaccurate.</p> <p>This study was reviewed by the University of Kansas Medical Center Institutional Review Board and was designated as a quality improvement project.</p>
ChatGPT-4 for Surgical Site Infection Detection From Electronic Health Records After Colorectal Surgery.
ClinicalTrials.gov study NCT06626399. IPD Sharing: NO. Countries: 1. Publications: 0.
Use of Electronic Health Records for Addressing Overweight and Obesity in Primary Care
ClinicalTrials.gov study NCT01480466. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Computerized Decision Support System Linked to Electronic Health Records to Improve Patient Care in a General Hospital
ClinicalTrials.gov study NCT02577198. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Personal Electronic Health Records in Improving Screening Rates for Colorectal Cancer
ClinicalTrials.gov study NCT01032746. IPD Sharing: Not stated. Countries: 1. Publications: 1.
COHERE - COntextualized Care in cHcs' Electronic Health REcords
ClinicalTrials.gov study NCT05022316. IPD Sharing: NO. Countries: 1. Publications: 1.
A Phased-Implementation Feasibility and Proof-of-Concept Study to Assess Incorporating the NIDA CTN Common Data Elements (CDEs) Into the Electronic Health Record (EHR) in Large Primary Care Settings (
ClinicalTrials.gov study NCT02974335. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Using an Electronic Personal Health Record to Empower Patients With Hypertension
ClinicalTrials.gov study NCT01317537. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Using the Electronic Health Record to Guide Management of Newborn Weight Loss
ClinicalTrials.gov study NCT03655314. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Enhancing Diagnosis and Prevention of Cardiovascular Disease in Newham by Integrated Use of Electronic Health Records
ClinicalTrials.gov study NCT02486913. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Connecting Smartphones With Electronic Health Record to Facilitate Behavioral Goal Monitoring in Diabetes Care
ClinicalTrials.gov study NCT02664233. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Electronic Health Record Sharing System (eHRSS) Encounter Notification Service Pilot Project
ClinicalTrials.gov study NCT04186351. IPD Sharing: NO. Countries: 1. Publications: 4.
Improving Infant Sleep Safety With the Electronic Health Record
ClinicalTrials.gov study NCT03662048. IPD Sharing: NO. Countries: 1. Publications: 2.
Statewide Implementation of Electronic Health Records
ClinicalTrials.gov study NCT00225576. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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