scholarly journals Administrative coding in electronic health care record‐based research of NAFLD: an expert panel consensus statement

Hepatology ◽  
2021 ◽  
Author(s):  
Hannes Hagström ◽  
Leon A Adams ◽  
Alina M. Allen ◽  
Christopher D. Byrne ◽  
Yoosoo Chang ◽  
...  
Keyword(s):  
Health Care ◽  
Consensus Statement ◽  
Expert Panel ◽  
Electronic Health

scholarly journals An Evidence-Based Tool for Safe Configuration of Electronic Health Records: The eSafety Checklist

2018 ◽  
Vol 09 (04) ◽  
pp. 817-830 ◽  
Author(s):  
Pritma Dhillon-Chattha ◽  
Ruth McCorkle ◽  
Elizabeth Borycki
Keyword(s):  
Health Care ◽  
Information Technology ◽  
Electronic Health Records ◽  
Health Information Technology ◽  
Health Information ◽  
Expert Panel ◽  
Clinical Informatics ◽  
Evidence Based ◽  
Health Records ◽  
Electronic Health

Background Electronic health records (EHRs) are transforming the way health care is delivered. They are central to improving the quality of patient care and have been attributed to making health care more accessible, reliable, and safe. However, in recent years, evidence suggests that specific features and functions of EHRs can introduce new, unanticipated patient safety concerns that can be mitigated by safe configuration practices. Objective This article outlines the development of a detailed and comprehensive evidence-based checklist of safe configuration practices for use by clinical informatics professionals when configuring hospital-based EHRs. Methods A literature review was conducted to synthesize evidence on safe configuration practices; data were analyzed to elicit themes of common EHR system capabilities. Two rounds of testing were completed with end users to inform checklist design and usability. This was followed by a four-member expert panel review, where each item was rated for clarity (clear, not clear), and importance (high, medium, low). Results An expert panel consisting of three clinical informatics professionals and one health information technology expert reviewed the checklist for clarity and importance. Medium and high importance ratings were considered affirmative responses. Of the 870 items contained in the original checklist, 535 (61.4%) received 100% affirmative agreement among all four panelists. Clinical panelists had a higher affirmative agreement rate of 75.5% (656 items). Upon detailed analysis, items with 100% clinician agreement were retained in the checklist with the exception of 47 items and the addition of 33 items, resulting in a total of 642 items in the final checklist. Conclusion Safe implementation of EHRs requires consideration of both technical and sociotechnical factors through close collaboration of health information technology and clinical informatics professionals. The recommended practices described in this checklist provide systems implementation guidance that should be considered when EHRs are being configured, implemented, audited, or updated, to improve system safety and usability.

Business: The Electronic Health Record: Front Line Experience

2011 ◽  
Vol 21 (1) ◽  
pp. 18-22
Author(s):  
Rosemary Griffin
Keyword(s):  
Health Care ◽  
Information Technology ◽  
Electronic Health Record ◽  
Financial Incentives ◽  
Best Practice ◽  
Health Care Systems ◽  
The United States ◽  
Health Record ◽  
Health Trends ◽  
Electronic Health

National legislation is in place to facilitate reform of the United States health care industry. The Health Care Information Technology and Clinical Health Act (HITECH) offers financial incentives to hospitals, physicians, and individual providers to establish an electronic health record that ultimately will link with the health information technology of other health care systems and providers. The information collected will facilitate patient safety, promote best practice, and track health trends such as smoking and childhood obesity.

Institutional Trust of Electronic Health Care Records System Measure

2011 ◽  
Author(s):  
José Manuel Ortega Egea ◽  
María Victoria Román González
Keyword(s):  
Health Care ◽  
Institutional Trust ◽  
Electronic Health ◽  
Health Care Records

Intention to Use Electronic Health Care Records System Measure

2011 ◽  
Author(s):  
José Manuel Ortega Egea ◽  
María Victoria Román González
Keyword(s):  
Health Care ◽  
Intention To Use ◽  
Electronic Health ◽  
Health Care Records

Architecture Models to Facilitate Communication of Clinical Information

1999 ◽  
Vol 38 (04/05) ◽  
pp. 326-331
Author(s):  
S. Kay
Keyword(s):  
Health Care ◽  
Clinical Information ◽  
Reference Architecture ◽  
Context Model ◽  
Electronic Health

AbstractThis is an account of the development and use of a context model for facilitating the communication of clinical information. Its function is to articulate the principle of context within a reference architecture for the Electronic Health Care Record (EHCR). The work required a re-examination of established models of communication, the purpose being to use them to support an architecture that could be reasonably expected to accommodate future, and by definition unforeseeable, developments in EHCR communication. The Context Model is built upon seven recognized constituents of communication. These constituents, although having their origin in the engineering of signal communication, have been found to be useful for explication both in the verbal and textual communication of narratives between people. The electronic health care record architecture supported by the model is the European prestandard ENV13606-1.

Marking Up is Not Enough

1993 ◽  
Vol 32 (04) ◽  
pp. 272-273 ◽  
Author(s):  
A. L. Rector
Keyword(s):  
Health Care ◽  
Intelligent Processing ◽  
Structured Documents ◽  
Electronic Health ◽  
Health Care Records

Response to: Essin DJ. Intelligent processing of loosely structured documents as a strategy for organizing electronic health care records. Meth Inform Med 1993; 32: 265.

Organizational and legal basis of formation of the electronic system of healthcare in the conditions of medical reform

2020 ◽  
pp. 67-73
Author(s):  
O.O. Punda ◽  
D.A. Arziantseva ◽  
N.P. Zakharkevych
Keyword(s):  
Health Care ◽  
Health Care System ◽  
Medical Information ◽  
Electronic System ◽  
Information Policy ◽  
Cloud Services ◽  
Free Access ◽  
Medical Reform ◽  
Electronic Health ◽  
Care System

The article is devoted to the issues of informatization of health care in the context of medical reform in Ukraine. It was emphasized that the service component of health care reform should open free access to information for patients, in connection with which the eHealth system (electronic health care system) is being introduced in Ukraine. eHealth provides the exchange of medical information and the implementation of the program of medical guarantees of the population. It is substantiated that in order to effectively implement the state information policy in the medical field it is necessary to develop and adopt a legal act at the level of law, for example, the Law of Ukraine “On the functioning of the electronic health care system in Ukraine”. The task of such an act should be to determine the subjects of information policy in this area, the powers of individual bodies and non-governmental organizations or economic entities involved in the development and operation of electronic health care system. An important element of regulation should be to address the issue of cybersecurity when using eHealth and to determine the responsibility of specific entities for possible violations or threats to the system. It is determined that eHealth should cover all areas of medical services, including “military” and “departmental medicine”. It is emphasized that an important element of the reliable functioning of eHealth should be the training of medical staff to work with databases. At the same time, the provision on the possibility of providing “cloud” services related to the functioning of the electronic health care system should be taken into account during the creation of the draft law “On cloud services”. The possibility of using “cloud” storage of medical data and requirements for the use of “cloud” information services provided from territories of a jurisdiction other than the national one requires is assessment.

scholarly journals Methods for epidemiological studies in competitive cycling: an extension of the IOC consensus statement on methods for recording and reporting of epidemiological data on injury and illness in sport 2020

2021 ◽  
pp. bjsports-2020-103906
Author(s):  
Benjamin Clarsen ◽  
Babette M Pluim ◽  
Víctor Moreno-Pérez ◽  
Xavier Bigard ◽  
Cheri Blauwet ◽  
...  
Keyword(s):  
Consensus Statement ◽  
Expert Panel ◽  
Epidemiological Data ◽  
Epidemiological Studies ◽  
Population Characteristics ◽  
Exposure Study ◽  
Injury Mechanisms ◽  
Study Population ◽  
Final Manuscript ◽  
Collection Methods

In 2020, the IOC released a consensus statement that provides overall guidelines for the recording and reporting of epidemiological data on injury and illness in sport. Some aspects of this statement need to be further specified on a sport-by-sport basis. To extend the IOC consensus statement on methods for recording and reporting of epidemiological data on injury and illness in sports and to meet the sport-specific requirements of all cycling disciplines regulated by the Union Cycliste Internationale (UCI). A panel of 20 experts, all with experience in cycling or cycling medicine, participated in the drafting of this cycling-specific extension of the IOC consensus statement. In preparation, panel members were sent the IOC consensus statement, the first draft of this manuscript and a list of topics to be discussed. The expert panel met in July 2020 for a 1-day video conference to discuss the manuscript and specific topics. The final manuscript was developed in an iterative process involving all panel members. This paper extends the IOC consensus statement to provide cycling-specific recommendations on health problem definitions, mode of onset, injury mechanisms and circumstances, diagnosis classifications, exposure, study population characteristics and data collection methods. Recommendations apply to all UCI cycling disciplines, for both able-bodied cyclists and para-cyclists. The recommendations presented in this consensus statement will improve the consistency and accuracy of future epidemiological studies of injury and illness in cycling.

scholarly journals Electronic Health Record Acceptance by Physicians: A Single Hospital Experience in Daily Practice

2021 ◽  
Vol 1 (1) ◽  
pp. 6-17
Author(s):  
Andrija Pavlovic ◽  
Nina Rajovic ◽  
Jasmina Pavlovic Stojanovic ◽  
Debora Akinyombo ◽  
Milica Ugljesic ◽  
...  
Keyword(s):  
Health Care ◽  
Logistic Regression ◽  
Electronic Health Record ◽  
Technology Acceptance ◽  
Daily Practice ◽  
Ease Of Use ◽  
Future Research ◽  
Health Record ◽  
Cross Sectional ◽  
Electronic Health

Introduction: Potential benefits of implementing an electronic health record (EHR) to increase the efficiency of health services and improve the quality of health care are often obstructed by the unwillingness of the users themselves to accept and use the available systems. Aim: The aim of this study was to identify factors that influence the acceptance of the use of an EHR by physicians in the daily practice of hospital health care. Material and Methods: The cross-sectional study was conducted among physicians in the General Hospital Pancevo, Serbia. An anonymous questionnaire, developed according to the technology acceptance model (TAM), was used for the assessment of EHR acceptance. The response rate was 91%. Internal consistency was assessed by Cronbach’s alpha coefficient. A logistic regression analysis was used to identify the factors influencing the acceptance of the use of EHR. Results: The study population included 156 physicians. The mean age was 46.4 ± 10.4 years, 58.8% participants were female. Half of the respondents (50.1%) supported the use of EHR in comparison to paper patient records. In multivariate logistic regression modeling of social and technical factors, ease of use, usefulness, and attitudes towards use of EHR as determinants of the EHR acceptance, the following predictors were identified: use of a computer outside of the office for reading daily newspapers (p = 0.005), EHR providing a greater amount of valuable information (p = 0.007), improvement in the productivity by EHR use (p < 0.001), and a statement that using EHR is a good idea (p = 0.014). Overall the percentage of correct classifications in the model was 83.9%. Conclusion: In this research, determinants of the EHR acceptance were assessed in accordance with the TAM, providing an overall good model fit. Future research should attempt to add other constructs to the TAM in order to fully identify all determinants of physician acceptance of EHR in the complex environment of different health systems.

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