Background: The digitalization studies in public hospitals in Türkiye started with the Health Transformation Program in 2003. As digitalization was accomplished, the policymakers needed to measure hospitals' electronic health record (EHR) usage and adoptions. The ministry of health has been measuring the dissemination of meaningful usage and adoption of EHR since 2013 using Electronic Medical Record Adoption Model (EMRAM). The first published study about this analysis covered the surveys applied between 2013 and 2017. The results showed that 63.1% of all hospitals in Türkiye had at least basic EHR functions, and 36% had comprehensive EHR functions. Measuring the countrywide EHR adoption level is becoming popular in the world. This study aims to measure adoption levels of EHR in public hospitals in Türkiye, indicate the change to the previous study, and make a benchmark with other countries measuring national EHR adoption levels. The research question of this study is to reveal whether there has been a change in the adoption level of EHR in the three years since 2018 in Türkiye. Also, make a benchmark with other countries such as the US, Japan, and China in country-wide EHR adoption in 2021.

Methods: In 2021, 717 public hospitals actively operating in Türkiye completed the EMRAM survey. The survey results, deals with five topics (General Stage Status, Information Technology Security, Electronic Health Record/Clinical Data Repository, Clinical Documentation, Closed-Loop Management), was reviewed by the authors. Survey data were compared according to hospital type (Specialty Hospitals, General Hospitals, Teaching and Research Hospitals) in terms of general stage status. The data obtained from the survey results were analyzed with QlikView Personal Edition. The availability and prevalence of medical information systems and EHR functions and their use were measured.

Results: We found that 33.7% of public hospitals in Türkiye have only basic EHR functions, and 66.3% have extensive EHR functions, which yields that all hospitals (100%) have at least basic EHR functions. That means remarkable progress from the previous study covering 2013 and 2017. This level also indicates that Türkiye has slightly better adoption from the US (96%) and much better than China (85.3%) and Korea (58.1%).

Conclusions: Although there has been outstanding (50%) progress since 2017 in Turkish public hospitals, it seems there is still a long way to disseminate comprehensive EHR functions, such as closed-loop medication administration, clinical decision support systems, patient engagement, etc. Measuring the stage of EHR adoption at regular intervals and on analytical scales is an effective management tool for policymakers. The bottom-up adoption approach established for adopting and managing EHR functions in the US has also yielded successful results in Türkiye.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500820PMC
http://dx.doi.org/10.1186/s12913-023-09859-wDOI Listing

Publication Analysis

Top Keywords

ehr functions
32
ehr adoption
20
public hospitals
20
ehr
17
hospitals türkiye
16
electronic health
12
basic ehr
12
adoption
11
hospitals
10
türkiye
9

Similar Publications

Background And Aims: Hypertrophic cardiomyopathy (HCM) has various aetiologies, including genetic conditions like Fabry disease (FD), a lysosomal storage disorder. FD prevalence in high-risk HCM populations ranges from 0.3% to 11.

View Article and Find Full Text PDF

: Despite evidence that low vision rehabilitation (LVR) services can improve visual function in patients with neovascular age-related macular degeneration (nAMD), many patients are not directed to access these resources. This study was conducted to determine factors associated with LVR referral and to assess the visual outcomes from completed evaluations. : The study comprised a retrospective, cross-sectional analysis of patients with nAMD.

View Article and Find Full Text PDF

AI-based models to predict decompensation on traumatic brain injury patients.

Comput Biol Med

January 2025

INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal; FCTUC - Faculty of Sciences and Technology of the University of Coimbra, Coimbra, Portugal. Electronic address:

Traumatic Brain Injury (TBI) is a form of brain injury caused by external forces, resulting in temporary or permanent impairment of brain function. Despite advancements in healthcare, TBI mortality rates can reach 30%-40% in severe cases. This study aims to assist clinical decision-making and enhance patient care for TBI-related complications by employing Artificial Intelligence (AI) methods and data-driven approaches to predict decompensation.

View Article and Find Full Text PDF

Individual Pharmacotherapy Management (IPM-II) for Patient and Drug Safety in Polypharmacy via Clinical Electronic Health Record Is Associated with Significant Fall Prevention.

Pharmaceuticals (Basel)

November 2024

Department of Orthopaedics, Trauma and Reconstructive Surgery, Division of Geriatric Traumatology, University Hospital Halle (Saale), Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany.

Background/objectives: Falls and fractures are emerging as a near-pandemic and major global health concern, placing an enormous burden on ageing patients and public health economies. Despite the high risk of polypharmacy in the elderly patients, falls are usually attributed to age-related changes. For the "Individual Pharmacotherapy Management (IPM)" established at the University Hospital Halle, the IPM medication adjustments and their association with in-hospital fall prevention were analysed.

View Article and Find Full Text PDF

Nurse Experiences in an Electronic Health Record Transition: A Mixed Methods Analysis.

Comput Inform Nurs

January 2025

Author Affiliations: Center for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Health Care (Dr Brunner and Ms Amano), CA; Michael E. DeBakey VA Medical Center (Dr Davila), Houston, TX; Department of Medicine-Health Services Research, Baylor College of Medicine (Dr Davila), Houston, TX; VA Ann Arbor Healthcare System (Dr Krein), MI; Division of General Medicine, Department of Internal Medicine, University of Michigan Medical School (Dr Krein), Ann Arbor; Office of Nursing Services, Veterans Health Administration (Dr Sullivan and Ms Church), Washington, DC; Center of Innovation for Veteran-Centered and Value-Driven Care, Seattle VA Medical Center (Dr Sayre), WA; University of Washington School of Public Health (Dr Sayre), Seattle; Center for Healthcare Organization and Implementation Research, VA Bedford Healthcare System (Dr Rinne), MA; and Division of Pulmonary and Critical Care Medicine, Department of Medicine, Geisel School of Medicine, Dartmouth University (Dr Rinne), MA.

Transitions from one EHR to another can be enormously disruptive to care. Nurses are the largest group of EHR users, but nurse experiences with EHR transitions have not been well documented. We sought to understand nurse experiences with an EHR transition at the US Department of Veterans Affairs.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!