scholarly journals Adoption Rates of Electronic Health Records in Turkish Hospitals and the Relation with Hospital Sizes

2020 ◽  
Author(s):  
Ilker Kose ◽  
John Rayner ◽  
Suayip Birinci ◽  
Mustafa Mahir Ulgu ◽  
Ismayil Yilmaz ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Medical Information ◽  
Clinical Care ◽  
The United States ◽  
Health Records ◽  
Bottom Up ◽  
Hospital Size ◽  
Survey Tool ◽  
State Hospitals ◽  
Electronic Health

Abstract Background: Nation-wide adoption of electronic health records (EHRs) in hospitals has become a Turkish policy priority in recognition of their benefits in maintaining the overall quality of clinical care. The electronic medical record maturity model (EMRAM) is a widely used survey tool developed by the Healthcare Information and Management Systems Society (HIMSS) to measure the rate of adoption of EHR functions in a hospital or a secondary care setting. Turkey completed many standardizations and infrastructural improvement initiatives in the health information technology (IT) domain during the first phase of the Health Transformation Program between 2003 and 2017. Like the United States of America (USA), the Turkish Ministry of Health (MoH) applied a bottom-up approach to adopting EHRs in state hospitals. This study aims to measure adoption rates and levels of EHR use in state hospitals in Turkey and investigate any relationship between adoption and use and hospital size. Methods: EMRAM surveys were completed by 600 (68.9%) state hospitals in Turkey between 2014 and 2017. The availability and prevalence of medical information systems and EHR functions and their use were measured. The association between hospital size and the availability/prevalence of EHR functions was also calculated. Results: We found that 63.1% of all hospitals in Turkey have at least basic EHR functions, and 36% have comprehensive EHR functions, which compares favourably to the results of Korean hospitals in 2017, but unfavorably to the results of US hospitals in 2015 and 2017. Our findings suggest that smaller hospitals are better at adopting certain EHR functions than larger hospitals. Conclusion: Measuring the overall adoption rates of EHR functions is an emerging approach and a beneficial tool for the strategic management of countries. This study is the first one covering all state hospitals in a country using EMRAM. The bottom-up approach to adopting EHR in state hospitals that was successful in the USA has also been found to be successful in Turkey. The results are used by the Turkish MoH to disseminate the nation-wide benefits of EHR functions.

scholarly journals Adoption Rates of Electronic Health Records in Turkish Hospitals and the Relation with Hospital Sizes

2020 ◽  
Author(s):  
Ilker Kose ◽  
John Rayner ◽  
Suayip Birinci ◽  
Mustafa Mahir Ulgu ◽  
Ismayil Yilmaz ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Medical Information ◽  
Clinical Care ◽  
The United States ◽  
Health Records ◽  
Bottom Up ◽  
Hospital Size ◽  
Survey Tool ◽  
State Hospitals ◽  
Electronic Health

Abstract Background : Nation-wide adoption of electronic health records (EHRs) in hospitals has become a Turkish policy priority in recognition of their benefits in maintaining the overall quality of clinical care. The electronic medical record maturity model (EMRAM) is a widely used survey tool developed by the Healthcare Information and Management Systems Society (HIMSS) to measure the rate of adoption of EHR functions in a hospital or a secondary care setting. Turkey completed many standardizations and infrastructural improvement initiatives in the health information technology (IT) domain during the first phase of the Health Transformation Program between 2003 and 2017. Like the United States of America (USA), the Turkish Ministry of Health (MoH) applied a bottom-up approach to adopting EHRs in state hospitals. This study aims to measure adoption rates and levels of EHR use in state hospitals in Turkey and investigate any relationship between adoption and use and hospital size. Methods : EMRAM surveys were completed by 600 (68.9%) state hospitals in Turkey between 2014 and 2017. The availability and prevalence of medical information systems and EHR functions and their use were measured. The association between hospital size and the availability/prevalence of EHR functions was also calculated. Results: We found that 63.1% of all hospitals in Turkey have at least basic EHR functions, and 36% have comprehensive EHR functions, which compares favourably to the results of Korean hospitals in 2017, but unfavorably to the results of US hospitals in 2015 and 2017. Our findings suggest that smaller hospitals are better at adopting certain EHR functions than larger hospitals. Conclusion: Measuring the overall adoption rates of EHR functions is an emerging approach and a beneficial tool for the strategic management of countries. This study is the first one covering all state hospitals in a country using EMRAM. The bottom-up approach to adopting EHR in state hospitals that was successful in the USA has also been found to be successful in Turkey. The results are used by the Turkish MoH to disseminate the nation-wide benefits of EHR functions.

scholarly journals Adoption rates of electronic health records in Turkish Hospitals and the relation with hospital sizes

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Ilker Kose ◽  
◽  
John Rayner ◽  
Suayip Birinci ◽  
Mustafa Mahir Ulgu ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Medical Information ◽  
Clinical Care ◽  
The United States ◽  
Health Records ◽  
Bottom Up ◽  
Hospital Size ◽  
Survey Tool ◽  
State Hospitals ◽  
Electronic Health

Abstract Background Nation-wide adoption of electronic health records (EHRs) in hospitals has become a Turkish policy priority in recognition of their benefits in maintaining the overall quality of clinical care. The electronic medical record maturity model (EMRAM) is a widely used survey tool developed by the Healthcare Information and Management Systems Society (HIMSS) to measure the rate of adoption of EHR functions in a hospital or a secondary care setting. Turkey completed many standardizations and infrastructural improvement initiatives in the health information technology (IT) domain during the first phase of the Health Transformation Program between 2003 and 2017. Like the United States of America (USA), the Turkish Ministry of Health (MoH) applied a bottom-up approach to adopting EHRs in state hospitals. This study aims to measure adoption rates and levels of EHR use in state hospitals in Turkey and investigate any relationship between adoption and use and hospital size. Methods EMRAM surveys were completed by 600 (68.9%) state hospitals in Turkey between 2014 and 2017. The availability and prevalence of medical information systems and EHR functions and their use were measured. The association between hospital size and the availability/prevalence of EHR functions was also calculated. Results We found that 63.1% of all hospitals in Turkey have at least basic EHR functions, and 36% have comprehensive EHR functions, which compares favourably to the results of Korean hospitals in 2017, but unfavorably to the results of US hospitals in 2015 and 2017. Our findings suggest that smaller hospitals are better at adopting certain EHR functions than larger hospitals. Conclusion Measuring the overall adoption rates of EHR functions is an emerging approach and a beneficial tool for the strategic management of countries. This study is the first one covering all state hospitals in a country using EMRAM. The bottom-up approach to adopting EHR in state hospitals that was successful in the USA has also been found to be successful in Turkey. The results are used by the Turkish MoH to disseminate the nation-wide benefits of EHR functions.

scholarly journals The Adoption Level of Electronic Health Records in Turkish Hospitals and the Relation with Hospital Sizes

2019 ◽  
Author(s):  
Ilker Kose ◽  
John Rayner ◽  
Suayip Birinci ◽  
Mustafa Mahir Ulgu ◽  
Ismayil Yilmaz ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Medical Information ◽  
Clinical Care ◽  
Public Hospitals ◽  
Maturity Model ◽  
Health Records ◽  
Hospital Size ◽  
Electronic Health ◽  
Adoption Level ◽  
Better Than

Abstract Background Considering the benefits of using electronic health records (EHR) for maintaining the overall quality of clinical care, the nationwide adoption of EHR in hospitals has become a policy priority. The electronic medical record maturity model (EMRAM) is one of the most popular survey tools developed by the Healthcare Information and Management Systems Society (HIMSS) that measures the level of adoption for EHR functions in a hospital or a secondary care setting. This study aims to measure the digital capacity of public hospitals in Turkey and criticize the relation between adoption and hospital size. Methods EMRAM surveys were completed by 600 (68.9%) public hospitals of Turkey between 2014 and 2017. The availability and prevalence of medical information systems and EHR functions were measured. The association between hospital size and the availability/prevalence of EHR functions was also calculated.Results We found that 63.1% of all hospitals in Turkey have at least basic EHR functions, and 36% have comprehensive EHR functions, which is better than the results of Korean hospitals of 2017 but still lower than the USA hospitals of 2015 (1)[1]and 2017. Our findings suggest that small hospitals are better than larger hospitals at adopting certain EHR functions. Conclusion Measuring the overall adoption level of EHR functions is an emerging approach and a beneficial tool for the strategic management of countries. This study is the first one covering all public hospitals in a country by using EMRAM. The results are used by MoH of Turkey to disseminate the benefits of EHR functions overall in the country.

scholarly journals The Adoption Level of Electronic Health Records in Turkish Hospitals and the Relation with Hospital Sizes

2020 ◽  
Author(s):  
Ilker Kose ◽  
John Rayner ◽  
Suayip Birinci ◽  
Mustafa Mahir Ulgu ◽  
Ismayil Yilmaz ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Clinical Care ◽  
Public Hospitals ◽  
Health Records ◽  
Bottom Up ◽  
Hospital Size ◽  
The Usa ◽  
Electronic Health ◽  
Adoption Level ◽  
Better Than

Abstract Background: Considering the benefits of using electronic health records (EHR) for maintaining the overall quality of clinical care, the nationwide adoption of EHR in hospitals has become a policy priority. The electronic medical record maturity model (EMRAM) is one of the most popular survey tools developed by the Healthcare Information and Management Systems Society (HIMSS) that measures the level of adoption for EHR functions in a hospital or a secondary care setting. Turkey has accomplished many standardizations and infrastructural studies in the health IT domain as a part of the first phase of the Health Transformation Program between 2003 and 2017. The Turkish MoH applied a bottom-up approach to adopting EHR in public hospitals, as the USA did. This study aims to measure the EHR adoption level of public hospitals in Turkey and criticize the relation between adoption and hospital size. Methods: EMRAM surveys were completed by 600 (68.9%) public hospitals of Turkey between 2014 and 2017. The availability and prevalence of medical information systems and EHR functions were measured. The association between hospital size and the availability/prevalence of EHR functions was also calculated. Results: We found that 63.1% of all hospitals in Turkey have at least basic EHR functions, and 36% have comprehensive EHR functions, which is better than the results of Korean hospitals of 2017 but still lower than the USA hospitals of 2015 and 2017. Our findings suggest that small hospitals are better than larger hospitals at adopting certain EHR functions. Conclusion: Measuring the overall adoption level of EHR functions is an emerging approach and a beneficial tool for the strategic management of countries. This study is the first one covering all public hospitals in a country by using EMRAM. It can be suggested that using a bottom-up approach as applied by the USA on adopting EHR in public hospital gives successful results also in Turkey. The results are used by MoH of Turkey to disseminate the benefits of EHR functions overall in the country.

scholarly journals Electronic Health Records as an Educational Tool: Viewpoint (Preprint)

2018 ◽  
Author(s):  
Yacob Habboush ◽  
Robert Hoyt ◽  
Sary Beidas
Keyword(s):  
Electronic Health Records ◽  
Health Care Providers ◽  
Core Competencies ◽  
Clinical Care ◽  
The United States ◽  
Educational Activity ◽  
Full Potential ◽  
Care Providers ◽  
Health Records ◽  
Electronic Health

BACKGROUND Electronic health records (EHRs) have been adopted by most hospitals and medical offices in the United States. Because of the rapidity of implementation, health care providers have not been able to leverage the full potential of the EHR for enhancing clinical care, learning, and teaching. Physicians are spending an average of 49% of their working hours on EHR documentation, chart review, and other indirect tasks related to patient care, which translates into less face time with patients. OBJECTIVE The purpose of this article is to provide a preliminary framework to guide the use of EHRs in teaching and evaluation of residents. METHODS First we discuss EHR educational capabilities that have not been reviewed in sufficient detail in the literature and expand our discussion for each educational activity with examples. We emphasize quality improvement of clinical notes as a basic foundational skill using a spreadsheet-based application as an assessment tool. Next, we integrate the six Accreditation Council for Graduate Medical Education (ACGME) Core Competencies and Milestones (CCMs) framework with the Reporter-Interpreter-Manager-Educator (RIME) model to expand our assessments of other areas of resident performance related to EHR use. Finally, we discuss how clinical utility, clinical outcome, and clinical reasoning skills can be assessed in the EHR. RESULTS We describe a pilot conceptual framework—CCM framework—to guide and demonstrate the use of the EHR for education in a clinical setting. CONCLUSIONS As EHRs and other supporting technologies evolve, medical educators should continue to look for new opportunities within the EHR for education. Our framework is flexible to allow adaptation and use in most training programs. Future research should assess the validity of such methods on trainees’ education.

Identifying and Addressing Ethical Issues with Use of Electronic Health Records

2018 ◽  
Vol 23 (1) ◽  
Author(s):  
Susan McBride ◽  
Mari Tietze ◽  
Catherine Robichaux ◽  
Liz Stokes ◽  
Eileen Weber
Keyword(s):  
Decision Making ◽  
Electronic Health Records ◽  
Clinical Decision Making ◽  
Ethical Decision Making ◽  
Ethical Issues ◽  
Clinical Care ◽  
The United States ◽  
Unintended Consequences ◽  
Health Records ◽  
Electronic Health

With the passage of the Health Information Technology for Economic and Clinical Health Act in 2009, the United States, as of 2017, has achieved 95% saturation with electronic health records as a means to document healthcare delivery in acute care hospitals and guide clinical decision making. Evidence is mounting that EHRs are resulting in unintended consequences with patient safety implications. Clinical teams confront usability challenges that can present ethical issues requiring ethical decision-making models to support clinicians in appropriate action on behalf of safe, effective clinical care. The purpose of this article is to identify and address ethical issues raised by nurses in use of electronic health records. We provide a case scenario with application of the Four Component Model and describe a study of nurse experiences with the EHR. The nursing Code of Ethics, Nursing Scope and Standards, and Legal Implications are reviewed, and we conclude with recommendations and a call to action.

scholarly journals 1665. Using Electronic Health Records to Describe TB in Community Health Settings: a Cohort Analysis in a Large Safety-Net Population

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S819-S820
Author(s):  
Jonathan Todd ◽  
Jon Puro ◽  
Matthew Jones ◽  
Jee Oakley ◽  
Laura A Vonnahme ◽  
...  
Keyword(s):  
United States ◽  
Risk Factors ◽  
Electronic Health Records ◽  
Safety Net ◽  
The United States ◽  
Research Network ◽  
Health Records ◽  
Treatment Regimens ◽  
Data Source ◽  
Electronic Health

Abstract Background Over 80% of tuberculosis (TB) cases in the United States are attributed to reactivation of latent TB infection (LTBI). Eliminating TB in the United States requires expanding identification and treatment of LTBI. Centralized electronic health records (EHRs) are an unexplored data source to identify persons with LTBI. We explored EHR data to evaluate TB and LTBI screening and diagnoses within OCHIN, Inc., a U.S. practice-based research network with a high proportion of Federally Qualified Health Centers. Methods From the EHRs of patients who had an encounter at an OCHIN member clinic between January 1, 2012 and December 31, 2016, we extracted demographic variables, TB risk factors, TB screening tests, International Classification of Diseases (ICD) 9 and 10 codes, and treatment regimens. Based on test results, ICD codes, and treatment regimens, we developed a novel algorithm to classify patient records into LTBI categories: definite, probable or possible. We used multivariable logistic regression, with a referent group of all cohort patients not classified as having LTBI or TB, to identify associations between TB risk factors and LTBI. Results Among 2,190,686 patients, 6.9% (n=151,195) had a TB screening test; among those, 8% tested positive. Non-U.S. –born or non-English–speaking persons comprised 24% of our cohort; 11% were tested for TB infection, and 14% had a positive test. Risk factors in the multivariable model significantly associated with being classified as having LTBI included preferring non-English language (adjusted odds ratio [aOR] 4.20, 95% confidence interval [CI] 4.09–4.32); non-Hispanic Asian (aOR 5.17, 95% CI 4.94–5.40), non-Hispanic black (aOR 3.02, 95% CI 2.91–3.13), or Native Hawaiian/other Pacific Islander (aOR 3.35, 95% CI 2.92–3.84) race; and HIV infection (aOR 3.09, 95% CI 2.84–3.35). Conclusion This study demonstrates the utility of EHR data for understanding TB screening practices and as an important data source that can be used to enhance public health surveillance of LTBI prevalence. Increasing screening among high-risk populations remains an important step toward eliminating TB in the United States. These results underscore the importance of offering TB screening in non-U.S.–born populations. Disclosures All Authors: No reported disclosures

scholarly journals Adoption of Electronic Health Records and Perceptions of Financial and Clinical Outcomes Among Ophthalmologists in the United States

2018 ◽  
Vol 136 (2) ◽  
pp. 164 ◽  
Author(s):  
Michele C. Lim ◽  
Michael V. Boland ◽  
Colin A. McCannel ◽  
Arvind Saini ◽  
Michael F. Chiang ◽  
...  
Keyword(s):  
United States ◽  
Electronic Health Records ◽  
Clinical Outcomes ◽  
The United States ◽  
Health Records ◽  
Electronic Health

A Framework for Systematic Assessment of Clinical Trial Population Representativeness Using Electronic Health Records Data

2021 ◽  
Vol 12 (04) ◽  
pp. 816-825
Author(s):  
Yingcheng Sun ◽  
Alex Butler ◽  
Ibrahim Diallo ◽  
Jae Hyun Kim ◽  
Casey Ta ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Electronic Health Records ◽  
The United States ◽  
Design Stage ◽  
Common Data Model ◽  
Free Text ◽  
Eligibility Criteria ◽  
Health Records ◽  
Electronic Health

Abstract Background Clinical trials are the gold standard for generating robust medical evidence, but clinical trial results often raise generalizability concerns, which can be attributed to the lack of population representativeness. The electronic health records (EHRs) data are useful for estimating the population representativeness of clinical trial study population. Objectives This research aims to estimate the population representativeness of clinical trials systematically using EHR data during the early design stage. Methods We present an end-to-end analytical framework for transforming free-text clinical trial eligibility criteria into executable database queries conformant with the Observational Medical Outcomes Partnership Common Data Model and for systematically quantifying the population representativeness for each clinical trial. Results We calculated the population representativeness of 782 novel coronavirus disease 2019 (COVID-19) trials and 3,827 type 2 diabetes mellitus (T2DM) trials in the United States respectively using this framework. With the use of overly restrictive eligibility criteria, 85.7% of the COVID-19 trials and 30.1% of T2DM trials had poor population representativeness. Conclusion This research demonstrates the potential of using the EHR data to assess the clinical trials population representativeness, providing data-driven metrics to inform the selection and optimization of eligibility criteria.

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