Electronic Health Records Systems
Electronic Health Records Systems is a research topic within Health Information Management. Science Explorer counts 30k research works in it since 1950. 27.7% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the impact of health information technology (HIT) in healthcare, covering topics such as electronic health records, clinical decision support systems, patient portals, usability engineering, medication errors, data quality assessment, physician burnout, genomic studies, and adoption barriers. The papers discuss the benefits, challenges, and implications of implementing HIT to improve the quality, efficiency, and safety of medical care.
- Electronic Health Records
- Clinical Decision Support Systems
- Health Information Exchange
- Patient Portals
- Usability Engineering
- Medication Errors
- Data Quality Assessment
- Physician Burnout
- Genomic Studies
- Adoption Barriers
- Research works
- 30k fractional, since 1950
- In the world top 10%
- 8.3k per year above
- Top-10% rate
- 27.7% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -8% the tick is no change
This ranks research output and citation impact. It says nothing about the quality of diagnosis, treatment or care.
Which countries lead Electronic Health Records Systems research?
By volume, the United States and the United Kingdom publish the most (1.7k and 296 works in 2022–2025).
By volume, 2022–2025
- 1 United States 1.7k works
- 2 United Kingdom 296 works
- 3 Germany 248 works
- 4 India 216 works
- 5 Australia 216 works
- 6 Canada 195 works
- 7 China 169 works
- 8 Indonesia 130 works
- 9 Netherlands 97 works
- 10 Saudi Arabia 89 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Electronic Health Records Systems research?
By volume in 2022–2025, Harvard University publishes the most Electronic Health Records Systems research, followed by Vanderbilt University Medical Center and University of North Carolina at Chapel Hill.
By volume, 2022–2025
- 1 Harvard UniversityUnited States 29 works
- 2 Vanderbilt University Medical CenterUnited States 27 works
- 3 University of North Carolina at Chapel HillUnited States 26 works
- 4 University of California, San FranciscoUnited States 23 works
- 5 University of MichiganUnited States 22 works
- 6 Johns Hopkins UniversityUnited States 20 works
- 7 Design Intelligence (United States)United States 20 works
- 8 Stanford UniversityUnited States 18 works
- 9 University of PennsylvaniaUnited States 18 works
- 10 The University of Texas Health Science Center at HoustonUnited States 18 works
Who are the leading researchers in Electronic Health Records Systems?
The most-cited researchers publishing on Electronic Health Records Systems include Aziz Sheikh.
- 1 Aziz Sheikh United Kingdom 5.8k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Electronic Health Records Systems research done?
The largest centres of Electronic Health Records Systems research in 2022–2025 are London (United Kingdom), New York (United States), Boston (United States) and Melbourne (Australia). Among places with at least 20 works in it, it is an unusually large share of all research in Norman, Nashville and Indianapolis.
Largest cities, 2022–2025
- 1 London United Kingdom 100 works
- 2 New York United States 94 works
- 3 Boston United States 73 works
- 4 Melbourne Australia 56 works
- 5 Toronto Canada 53 works
- 6 Philadelphia United States 50 works
- 7 Riyadh Saudi Arabia 49 works
- 8 Washington D.C. United States 46 works
- 9 Nashville United States 45 works
- 10 Sydney Australia 42 works
Where it is the local speciality
- NormanUS · 20.7 works13×
- NashvilleUS · 45.1 works10×
- IndianapolisUS · 26.1 works8.9×
Location quotient: how much more of its research is in Electronic Health Records Systems than the world average.
Where is the best place to study Electronic Health Records Systems?
Among universities, judged by research, University of California, San Francisco, The University of Texas Health Science Center at Houston and Harvard University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | University of California, San FranciscoUnited States | 72.1 | 45.6% | 7.7× | 23 | +50.9% |
| 2 | The University of Texas Health Science Center at HoustonUnited States | 67.0 | 35.3% | 12.7× | 18 | +44.3% |
| 3 | Harvard UniversityUnited States | 62.1 | 36.7% | 4.9× | 29 | -3.3% |
| 4 | Imperial College LondonUnited Kingdom | 58.4 | 46.6% | 3.7× | 16 | +20.4% |
| 5 | University of VictoriaCanada | 58.4 | 30.6% | 12.1× | 13 | -31.0% |
| 6 | Macquarie UniversityAustralia | 58.1 | 35.8% | 5.5× | 9 | +992.8% |
| 7 | Stanford UniversityUnited States | 54.6 | 43.5% | 3.2× | 18 | +46.8% |
| 8 | Indiana University – Purdue University IndianapolisUnited States | 53.8 | 30.8% | 7.9× | 11 | +78.4% |
| 9 | University of PennsylvaniaUnited States | 53.7 | 39.2% | 4.2× | 18 | +45.1% |
| 10 | Oregon Health & Science UniversityUnited States | 52.5 | 33.2% | 8.3× | 12 | +6.7% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Electronic Health Records Systems research growing?
Output in 2018–2022 was 8% lower than in 2013–2017, peaking in 2025. The fastest-growing topics are Electronic Health Records Systems.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.