ArticleJournal of medical systems2019
Comparing the Trends of Electronic Health Record Adoption Among Hospitals of the United States and Japan.
Article in Journal of medical systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Electronic health records in patient care: strengths, facilitators, challenges, and future directions-a scoping review.BMC health services research · 2026Article
- Challenges and solutions in determining urolithiasis caseloads using the digital infrastructure of a clinical data warehouse.PloS one · 2026Article
- Adherence to monitoring iron indices at the initiation of erythropoiesis-stimulating agents or hypoxia-inducible factor prolyl hydroxylase inhibitors.Clinical and experimental nephrology · 2026Article
- Health professionals' readiness for and factors influencing electronic medical record systems implementation in Southern Oromia, Ethiopia, 2024: a cross-sectional study.Frontiers in digital health · 2025Article
- Adoption of Electronic Medical Records in Healthcare Facilities in the Emirate of Dubai.Healthcare informatics research · 2024Article
- Going paperless - Qualitative monitoring of staff morale during the transition from paper to electronic health records.Heliyon · 2023Article
- Basic electronic health record (EHR) adoption inBMC health services research · 2023Article
- Good practices for clinical data warehouse implementation: A case study in France.PLOS digital health · 2023Review
- Simulated medical information system: education for aspiring healthcare information technologists.Fujita medical journal · 2023Article
- Analysis of the Effects of Electronic Medical Records and a Payment Scheme on the Length of Hospital Stay.Healthcare informatics research · 2022Article
- Adoption of Electronic Health Records (EHRs) in China During the Past 10 Years: Consecutive Survey Data Analysis and Comparison of Sino-American Challenges and Experiences.Journal of medical Internet research · 2021Article
- The dawning of the digital era in the management of hypertension.Hypertension research : official journal of the Japanese Society of Hypertension · 2020Review
- Adoption rates of electronic health records in Turkish Hospitals and the relation with hospital sizes.BMC health services research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The goal of this study is to examine the trends of Electronic Health Record (EHR) adoption among hospitals in Japan compared to those in the United States. Japan's nationwide survey of hospitals was utilized to extract the EHR adoption rates among Japanese hospitals. Comparable datasets from the Healthcare Information and Management System Society (HIMSS) and the American Hospital Association (AHA) were utilized to extract EHR adoption rates among U.S. hospitals. The trends of EHR adoption were stratified and analyzed by hospital size and hospital ownership status. As of 2014, the U.S. hospitals had a wider adoption of 'basic with clinical notes' EHRs compared to Japan (45.6% vs. 27.3%), but large hospitals (400+ beds) in Japan have shown a similar adoption rate of EHR systems than those of U.S. (65.6% vs. 68.5%). Governmental hospitals tend to be more advanced in EHR adoption than non-profit hospitals in Japan (53.0% vs. 21.5%). Non-profit hospitals show the highest adoption rate of 'basic' EHR systems in the U.S. as of 2014 (63.3%). Using the 'certified' definition of EHRs, the EHR adoption rate was close to 96% among U.S. hospitals as of 2016; however, updated EHR adoption data from Japanese hospitals has yet to be collected and published. U.S. and Japan have considerably increased EHR adoption among hospitals; however, this analysis indicates different trends of EHR adoption among hospitals by size and ownership status in both countries. Learnings from government programs supporting EHR adoption in the U.S. and Japan can be helpful in planning useful strategies for future hospital-oriented health IT policies in other developed nations.
Indexed as
Identifiers
31187293What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.