The DOI matches its Crossref record; 875 of the 877 references it cites were found in a registry or an index.
Costs and benefits of health information technology.
Open accessAbstract
OBJECTIVES: An evidence report was prepared to assess the evidence base regarding benefits and costs of health information technology (HIT) systems, that is, the value of discrete HIT functions and systems in various healthcare settings, particularly those providing pediatric care. DATA SOURCES: PubMed, the Cochrane Controlled Clinical Trials Register, and the Cochrane Database of Reviews of Effectiveness (DARE) were electronically searched for articles published since 1995. Several reports prepared by private industry were also reviewed. REVIEW METHODS: Of 855 studies screened, 256 were included in the final analyses. These included systematic reviews, meta-analyses, studies that tested a hypothesis, and predictive analyses. Each article was reviewed independently by two reviewers; disagreement was resolved by consensus. RESULTS: Of the 256 studies, 156 concerned decision support, 84 assessed the electronic medical record, and 30 were about computerized physician order entry (categories are not mutually exclusive). One hundred twenty four of the studies assessed the effect of the HIT system in the outpatient or ambulatory setting; 82 assessed its use in the hospital or inpatient setting. Ninety-seven studies used a randomized design. There were 11 other controlled clinical trials, 33 studies using a pre-post design, and 20 studies using a time series. Another 17 were case studies with a concurrent control. Of the 211 hypothesis-testing studies, 82 contained at least some cost data. We identified no study or collection of studies, outside of those from a handful of HIT leaders, that would allow a reader to make a determination about the generalizable knowledge of the study's reported benefit. Beside these studies from HIT leaders, no other research assessed HIT systems that had comprehensive functionality and included data on costs, relevant information on organizational context and process change, and data on implementation. A small body of literature supports a role for HIT in improving the quality of pediatric care. Insufficient data were available on the costs or cost-effectiveness of implementing such systems. The ability of Electronic Health Records (EHRs) to improve the quality of care in ambulatory care settings was demonstrated in a small series of studies conducted at four sites (three U.S. medical centers and one in the Netherlands). The studies demonstrated improvements in provider performance when clinical information management and decision support tools were made available within an EHR system, particularly when the EHRs had the capacity to store data with high fidelity, to make those data readily accessible, and to help translate them into context-specific information that can empower providers in their work. Despite the heterogeneity in the analytic methods used, all cost-benefit analyses predicted substantial savings from EHR (and health care information exchange and interoperability) implementation: The quantifiable benefits are projected to outweigh the investment costs. However, the predicted time needed to break even varied from three to as many as 13 years. CONCLUSIONS: HIT has the potential to enable a dramatic transformation in the delivery of health care, making it safer, more effective, and more efficient. Some organizations have already realized major gains through the implementation of multifunctional, interoperable HIT systems built around an EHR. However, widespread implementation of HIT has been limited by a lack of generalizable knowledge about what types of HIT and implementation methods will improve care and manage costs for specific health organizations. The reporting of HIT development and implementation requires fuller descriptions of both the intervention and the organizational/economic environment in which it is implemented.
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“Conversely, lack of effective leadership to advocate change, set priorities or manage the implementation process; and changes in leadership were presented as barriers [55, 67–69].”
From Achieving change in primary care—causes of the evidence to practice gap: systematic reviews of reviews (2015) · cites this paper as [69]
In the citing paper
“Personal style, defined as the perceived fit between the intervention and the preferred style of clinical practice, such as clinicians’ communication style [78, 79], personality [54] and philosophical opposition to the intervention [69, 76], were presented exclusively as barriers.”
From Achieving change in primary care—causes of the evidence to practice gap: systematic reviews of reviews (2015) · cites this paper as [69]
In the citing paper
“Resistance to change caused by disagreement with the evidence, negative beliefs about the usefulness or added value of the intervention or belief that the intervention was not part of their role were commonly described as a barrier to implementation [3, 14, 35, 41, 67–70, 76, 77, 80].”
From Achieving change in primary care—causes of the evidence to practice gap: systematic reviews of reviews (2015) · cites this paper as [69]
In the citing paper
“A lack of knowledge and a limited understanding of benefits afforded by the systems acted as a barrier to implementation [49, 52, 53].”
From Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update) (2016) · cites this paper as [52]
In the citing paper
“Health professionals’ perceptions that e-health systems disrupt workflows, and the delivery of care, are a barrier to both the implementation and use of these systems [23, 49, 52, 56, 57].”
From Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update) (2016) · cites this paper as [52]
In the citing paper
“whereas negative attitudes and staff resistance acted as barriers [49, 52].”
From Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update) (2016) · cites this paper as [52]
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Kocher, K. E., Shane, S. A., Venkatesh, A. K., Aronsky, D., Asplin, B. R., & Rathlev, N. K. (2011) · Academic Emergency Medicine · doi:10.1111/j.1553-2712.2011.01219.x · Cited by 8
Costs of Health IT: Beginning to Understand the Financial Impact of a Dental School EHR
Spallek, H., Johnson, L. A., Kerr, J., & Rankin, D. (2014) · Journal of Dental Education · doi:10.1002/j.0022-0337.2014.78.11.tb05830.x · Cited by 8
Hernandez, M. N., Voti, L., Feldman, J. D., Tannenbaum, S. L., Scharber, W. K., MacKinnon, J., Lee, D. J., & Huang, Y. X. (2013) · PubMed Central · Cited by 8
Longaray, A. A., & Castelli, T. M. (2020) · Ciência & Saúde Coletiva · doi:10.1590/1413-812320202511.26342018 · Cited by 9
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Integrated health care for people with chronic conditions. A policy brief.
Oxman, A. D., Bjørndal, A., Flottorp, S. A., Lewin, S. A., & Lindahl, A. K. (2008) · BIBSYS Brage (BIBSYS (Norway)) · Cited by 8
Wong, M. C. S., Huang, J., Chan, P. S.-F., Lok, V., Leung, C., Wang, J., Cheung, C. S. K., Wong, W. N., Cheung, N. T., Ho, C. P., et al. (2020) · JMIR Medical Informatics · doi:10.2196/17452 · Cited by 7
“Health information technologies, such as electronic health record systems (eHRs), are considered to be critical in transforming health care delivery in terms of improving quality and efficiency [1,2].”
Alquran, H., Banitaan, S., Bari, T., Chavarkar, Y., & Bellamy, A. (2024) · Telematics and Informatics Reports · doi:10.1016/j.teler.2024.100159 · Cited by 7
Identifying Where the Values Come from IT-Innovations in Health and Social Care
Vimarlund, V., & Koch, S. (2012) · Intelligent Information Management · doi:10.4236/iim.2012.425042 · Cited by 7
The Need for a Socio-Technical Analysis in E-Health
Muhammad, I., Teoh, S. Y., & Wickramasinghe, N. S. (2013) · International Journal of E-Health and Medical Communications · doi:10.4018/jehmc.2013040105 · Cited by 7
von Dincklage, F., Lichtner, G., Suchodolski, K., Ragaller, M., Friesdorf, W., & Podtschaske, B. V. (2016) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-016-9892-y · Cited by 7
“that the implementation of such systems can improve the quality of clinical care [7, 28], especially through the reduction of order entry errors and medication errors [7, 14, 25], as well as improve staff satisfaction [7, 22] and reduce the time spent on documentation [3, 4, 6, 7, 17, 23, 31].”
BackgroundMoffat, B. S., Vogt, K., Inaba, K., Δημητριάδης, Δ., Martin, C. J., Malthaner, R. A., Gray, D., & Parry, N. G. (2019) · Injury · doi:10.1016/j.injury.2019.08.020 · Cited by 7
Handwritten to Electronic Prescriptions: Emerging Views and Practices, Saudi Arabia
Qureshi, N. A. (2014) · Journal of Advances in Medicine and Medical Research · doi:10.9734/bjmmr/2014/10962 · Cited by 8
“Finally, there is need for longitudinal pre- and post evaluations of newly implemented electronic health record systems that contain EPSs following the procedures that have been recommended by others [102-103].”
BackgroundSanoski, C. A. (2009) · Journal of Managed Care Pharmacy · doi:10.18553/jmcp.2009.15.s6-b.3 · Cited by 7
Emerging IT Trends in Healthcare and Well-Being
Fiaidhi, J., Kuziemsky, C. E., Mohammed, S., Weber, J. H., & Topaloglou, T. (2016) · IT Professional · doi:10.1109/mitp.2016.45 · Cited by 7
Muriana, C., Vizzini, G. B., Piazza, T., Gilia, G., & Mistretta, V. (2017) · International Journal of Medical Engineering and Informatics · doi:10.1504/ijmei.2017.086900 · Cited by 7
Tsapepas, D. S., Der-Nigoghossian, C. A., Patel, K., Berger, K., Vawdrey, D. K., & Salmasian, H. (2019) · Pharmacology Research & Perspectives · doi:10.1002/prp2.508 · Cited by 6
“13 The objective of our study was to design a CDS solution to provide medication stewardship, using input from the providers and an iterative approach.”
MethodDünnebeil, S., Sunyaev, A., Blohm, I., Leimeister, J. M., & Krcmar, H. (2010) · International Conference on Health Informatics · doi:10.5220/0002695602020209 · Cited by 7
“As health information systems have the potential to improve Healthcare quality (Shekelle et al., 2006), German health authorities are currently building a nationwide telematics infrastructure (TI) in order to harmonize transactions and data storage of e-health applications in the German public…”
BackgroundDastani, M., Ehtesham, H., Javanmard, Z., Sabahi, A., & Bahador, F. (2022) · Shiraz E-Medical Journal · doi:10.5812/semj-123803 · Cited by 6
“HIT also leads to the safe and confidential delivery of health information to patients, increases the efficiency of information exchange between physicians and patients, increases the quality of care, and reduces operating costs (3-5).”
BackgroundFunctional requirements of critical care information systems (CCIS) from the users’ perspective
von Dincklage, F., Suchodolski, K., Lichtner, G., Friesdorf, W., Podtschaske, B. V., & Ragaller, M. (2018) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2018.09.018 · Cited by 6
Pre and Post Hoc Analysis of Electronic Health Record Implementation on Emergency Department Metrics
Rupp, K. J., Ham, N. J., Blankenship, D., Payton, M. E., & Murray, K. A. (2017) · Baylor University Medical Center Proceedings · doi:10.1080/08998280.2017.11929563 · Cited by 6
Implementation of electronic health records systems in surgical units and its impact on performance
Liu, Z. Y., & Edye, M. (2019) · ANZ Journal of Surgery · doi:10.1111/ans.15350 · Cited by 6
Pfeiffer, K. P., & Auer, C. M. (2009) · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · doi:10.1007/s00103-009-0791-y · Cited by 6
Strategies and Solutions in eHealth: A Literature Review
Marco, M. D., Ricciardi, F., & Brocke, J. V. (2011) · Springer eBooks · doi:10.1007/978-1-4614-1536-7_9 · Cited by 6
Ayanlade, O. S., Oyebisi, T. O., & Kolawole, B. A. (2018) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2018.04.002 · Cited by 6
Thissen, A., Salgado-Baez, E., Fürstenau, D., Delucchi Danhier, R., Meske, C., Kuss, P., Angermair, S., Spies, C., & Balzer, F. (2025) · Journal of Medical Internet Research · doi:10.2196/49254 · Cited by 7
Moulaei, K., Rajaei, E., Ahmadian, L., & Khajouei, R. (2022) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-022-02009-y · Cited by 5
“Evidence has shown that health information technologies can improve efficiency and safety in providing health services [12] and introduce opportunities for disease diagnosis, management, and treatment [13, 14].”
BackgroundWesterbeek, L., Linn, A. J., van Weert, H. C. P. M., van der Velde, N., Medlock, S. K., Abu–Hanna, A., & van Weert, J. C. M. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01822-9 · Cited by 5
Maldonado, J. A., Marcos, M., Fernández‐Breis, J. T., Parcero, E., Boscá, D., Legaz-García, M. D. C., Martínez‐Salvador, B., & Robles, M. (2016) · PubMed Central · Cited by 5
Metadata
- Authors
- Shekelle, P. G., Morton, S. C., & Keeler, E. B.
- ORCID
- Shekelle, Paul G
- Published
- 2006-04
- Issue
- 132
- Pages
- 1-71
- PMC
- PMC4781594
- OpenAlex
- W2169921538
- Cited by
- 501
- References
- 877
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 6 · 2023: 8 · 2022: 12 · 2021: 22 · 2020: 22 · 2019: 21 · 2018: 32 · 2017: 35 · 2016: 35 · 2015: 28 · 2014: 33 · 2013: 41 · 2012: 30
- Type
- report
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Keywords
- health information technology, electronic health records, clinical decision support, computerized physician order entry, pediatric care, outpatient care, inpatient care, quality of care, cost-effectiveness, implementation costs, process change, organizational context, cost-benefit analysis
- MeSH terms
- Ambulatory Care, Cost-Benefit Analysis, Costs and Cost Analysis, Information Systems, Pediatrics, Quality of Health Care, Technology, Medical Records Systems, Computerized
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