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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Citations
Cites
1 retracted
Nursing record systems: effects on nursing practice and healthcare outcomes.
Urquhart, C., Currell, R., Grant, M., & Hardiker, N. (2009) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd002099.pub2 · Cited by 246
RetractedInstitute of Medicine (2000) · National Academies Press eBooks · doi:10.17226/9728 · Cited by 14,390
Crossing the Quality Chasm: A New Health System for the 21st Century
Baker, A. (2001) · BMJ · doi:10.1136/bmj.323.7322.1192 · Cited by 10,779
Decision aids for people facing health treatment or screening decisions
Stacey, D., Légaré, F., Lewis, K., Barry, M. J., Bennett, C. L., Eden, K. B., Holmes-Rovner, M., Llewellyn-Thomas, H., Lyddiatt, A., Thomson, R., et al. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd001431.pub5 · Cited by 6,685
The quality of health care delivered to adults in the United States
McGlynn, E. A., Asch, S. M., Adams, J., Keesey, J., Hicks, J., DeCristofaro, A., & Kerr, E. A. (2003) · New England Journal of Medicine · doi:10.1056/nejmsa022615 · Cited by 5,079
Garg, A. X., Adhikari, N. K. J., McDonald, H., Rosas-Arellano, M. P., Devereaux, P. J., Beyene, J., Sam, J., & Haynes, R. B. (2005) · JAMA · doi:10.1001/jama.293.10.1223 · Cited by 2,936
Organizing Care for Patients with Chronic Illness
Wagner, E. H., Austin, B. T., & Korff, M. V. (1996) · The Milbank Quarterly · doi:10.2307/3350391 · Cited by 2,877
Role of Computerized Physician Order Entry Systems in Facilitating Medication Errors
Koppel, R. (2005) · JAMA · doi:10.1001/jama.293.10.1197 · Cited by 2,126
Bates, D. W. (1998) · JAMA · doi:10.1001/jama.280.15.1311 · Cited by 2,107
Medication Errors and Adverse Drug Events in Pediatric Inpatients
Kaushal, R. (2001) · JAMA · doi:10.1001/jama.285.16.2114 · Cited by 1,917
Cited by
Sorted by citations
The Technology Acceptance Model: Its past and its future in health care
Holden, R. J., & Karsh, B.-T. (2010) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2009.07.002 · Cited by 2,669
“Notably, no study used a broader definition of usefulness, despite the notion that health IT might be useful for not only enhancing performance, but also making performance easier and more satisfying, increasing efficiency and lowering costs, improving quality and safety of care, and more [113–115].”
The Impact of eHealth on the Quality and Safety of Health Care: A Systematic Overview
Black, A. D., Car, J., Pagliari, C., Anandan, C., Cresswell, K., Bokun, T., McKinstry, B., Procter, R., Majeed, A., & Sheikh, A. (2011) · PLoS Medicine · doi:10.1371/journal.pmed.1000387 · Cited by 1,442
“Three related reviews – an update, a fuller report, and its more concise counterpart – were an exception due to the complementary nature of the reports rather than these being duplicative [22,55,56].”
BackgroundRoss, J., Stevenson, F., Lau, R., & Murray, E. (2016) · Implementation Science · doi:10.1186/s13012-016-0510-7 · Cited by 1,011
Electronic health records in ambulatory care—a national survey of physicians
DesRoches, C. M., Campbell, E. G., Rao, S. R., Donelan, K., Ferris, T. G., Jha, A., Kaushal, R., Levy, D. E., Rosenbaum, S., Shields, A. E., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmsa0802005 · Cited by 1,111
Shanafelt, T. D., Dyrbye, L. N., Sinsky, C., Hasan, O., Satele, D., Sloan, J., & West, C. P. (2016) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2016.05.007 · Cited by 1,086
“n July 2016 promise for enhancing coordination of care, reducing errors, and improving quality of care.(10-16) In their current form and implementation, however, they seem to have had a variety of unintended negative consequences that reduce efficiency, increase clerical burden, and increase the risk of burnout for ph…”
BackgroundMair, F. S., May, C., O’Donnell, C., Finch, T., Sullivan, F., & Murray, E. (2012) · Bulletin of the World Health Organization · doi:10.2471/blt.11.099424 · Cited by 553
Lau, R., Stevenson, F., Ong, B. N., Dziedzic, K., Treweek, S., Eldridge, S., Everitt, H., Kennedy, A., Qureshi, N., Rogers, A., et al. (2015) · Implementation Science · doi:10.1186/s13012-016-0396-4 · Cited by 533
“Cost-effectiveness [33, 34, 42, 51, 57, 58, 65, 67, 69] B: Cost-effectiveness relation perceived as unfavourable [57] F: Improved cost-effectiveness and efficiency [67] √ √ √ √”
BackgroundInfluentialWhy rankings of biomedical image analysis competitions should be interpreted with care
Maier‐Hein, L., Eisenmann, M., Reinke, A., Onogur, S., Stankovic, M., Godau, P., Arbel, T., Bogunović, H., Bradley, A. P., Carass, A., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07619-7 · Cited by 428
Øvretveit, J. (2011) · BMJ Quality & Safety · doi:10.1136/bmjqs.2010.045955 · Cited by 337
Nuckols, T. K., Smith-Spangler, C., Morton, S. C., Asch, S. M., Patel, V. M., Anderson, L. J., Deichsel, E. L., & Shekelle, P. G. (2014) · Systematic Reviews · doi:10.1186/2046-4053-3-56 · Cited by 340
Self-citationDeterminants of physicians’ technology acceptance for e-health in ambulatory care
Dünnebeil, S., Sunyaev, A., Blohm, I., Leimeister, J. M., & Krcmar, H. (2012) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2012.02.002 · Cited by 320
“In the original TAM model, acceptance is explained by the influence of a person’s attitude towards technology and the PU of the technology.”
BackgroundMethodAre Electronic Medical Records Helpful for Care Coordination? Experiences of Physician Practices
O’Malley, A. S., Grossman, J. M., Cohen, G. R., Kemper, N., & Pham, H. H. (2009) · Journal of General Internal Medicine · doi:10.1007/s11606-009-1195-2 · Cited by 298
Why is it difficult to implement e-health initiatives? A qualitative study
Murray, E., Burns, J., May, C., Finch, T., O'Donnell, C., Wallace, P., & Mair, F. (2011) · Implementation Science · doi:10.1186/1748-5908-6-6 · Cited by 270
“The use of ICT is expected to lead to improvements in healthcare quality (e.g., through better communication) and efficiency (e.g., through reduced duplication of investigations) [ 3 ].”
BackgroundSligo, J. L., Gauld, R. D. C., Roberts, V., & Villa, L. (2016) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2016.09.007 · Cited by 306
Electronic health record acceptance by physicians: Testing an integrated theoretical model
Gagnon, M., Ghandour, E. K., Talla, P. K., Simonyan, D., Godin, G., Labrecque, M., Ouimet, M., & Rousseau, M. (2013) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2013.10.010 · Cited by 250
Improved Health System Performance through better Care Coordination
Hofmarcher, M. M., Oxley, H., & Rusticelli, E. (2007) · OECD health working papers · doi:10.1787/246446201766 · Cited by 243
Busch, I. M., Moretti, F., Purgato, M., Barbui, C., Wu, A. W., & Rimondini, M. (2019) · Journal of Patient Safety · doi:10.1097/pts.0000000000000589 · Cited by 231
Web-Based Interventions for Behavior Change and Self-Management: Potential, Pitfalls, and Progress
Murray, E. (2012) · Medicine 2.0 · doi:10.2196/med20.1741 · Cited by 219
Foy, R., Hempel, S., Rubenstein, L., Suttorp, M. J., Seelig, M., Shanman, R., & Shekelle, P. (2010) · Annals of Internal Medicine · doi:10.7326/0003-4819-152-4-201002160-00010 · Cited by 216
Self-citationHealth information technology and its impact on the quality and cost of healthcare delivery
Bardhan, I. R., & Thouin, M. F. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.10.003 · Cited by 217
Improving quality through effective implementation of information technology in healthcare
Ovretveit, J., Scott, T., Rundall, T. G., Shortell, S. M., & Brommels, M. (2007) · International Journal for Quality in Health Care · doi:10.1093/intqhc/mzm031 · Cited by 204
“These may be classified in terms of features of the EMR system [1, 5– 13], the implementation process [6, 8, 11, 14 – 16], or of the leadership [11, 14 – 16], resources [ 1 , 5, 6, 8, 14, 15, 17] and the recipient organization’s culture [15, 18 –20].”
BackgroundInfluentialLópez, L., Green, A. R., Tan‐McGrory, A., King, R. K., & Betancourt, J. R. (2011) · The Joint Commission Journal on Quality and Patient Safety · doi:10.1016/s1553-7250(11)37055-9 · Cited by 192
A review on systematic reviews of health information system studies
Lau, F., Kuziemsky, C. E., Price, M., & Gardner, J. (2010) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2010.004838 · Cited by 188
“which included the eight updated/summary reviews instead of the original versions.”
BackgroundTaylor, S. L., Dy, S. M., Foy, R., Hempel, S., McDonald, K. M., Øvretveit, J., Pronovost, P. J., Rubenstein, L. V., Wachter, R. M., & Shekelle, P. (2011) · BMJ Quality & Safety · doi:10.1136/bmjqs.2010.049379 · Cited by 177
Self-citationCifuentes, M., Davis, M., Fernald, D., Gunn, R., Dickinson, P., & Cohen, D. J. (2015) · The Journal of the American Board of Family Medicine · doi:10.3122/jabfm.2015.s1.150133 · Cited by 164
Do electronic medical records improve quality of care? No.
Manca, D. P. (2015) · Europe PMC (PubMed Central) · Cited by 165
Zayyad, M. A., & Toycan, M. (2018) · PeerJ · doi:10.7717/peerj.4436 · Cited by 146
Diabetic Retinopathy Detection and Classification Using Mixed Models for a Disease Grading Database
Bilal, A., Sun, G., Li, Y., Mazhar, S., & Khan, A. Q. (2021) · IEEE Access · doi:10.1109/access.2021.3056186 · Cited by 142
“evaluation and observation are manually required [3].”
Holden, R. J. (2010) · Cognition Technology & Work · doi:10.1007/s10111-010-0141-8 · Cited by 134
“for example, the preference for randomized control trials and pre-post error measures in evaluating EMR and other health IT (Reckmann et al. 2009; Shekelle et al. 2006); a description of a randomized trial using the notation in Fig.”
BackgroundMethodRelationship Between Use of Electronic Health Record Features and Health Care Quality
Poon, E. G., Wright, A. T., Simon, S. R., Jenter, C. A., Kaushal, R., Volk, L. A., Cleary, P. D., Singer, J. A., Tumolo, A. Z., & Bates, D. W. (2010) · Medical Care · doi:10.1097/mlr.0b013e3181c16203 · Cited by 134
“However, many of these studies have been conducted at a benchmark institutions with significant resources and experience.(4,7) Research on the relationFrom the *Division of General Medicine, Brigham and Women’s Hospital, Boston, MA; †Department of Medicine, Harvard Medical School, Boston, MA; ‡Partners HealthCare, Bos…”
BackgroundApplication of smart phone in "Better Border Healthcare Program": A module for mother and child care
Kaewkungwal, J., Singhasivanon, P., Khamsiriwatchara, A., Sawang, S., Meankaew, P., & Wechsart, A. (2010) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-10-69 · Cited by 126
Future of Electronic Health Records: Implications for Decision Support
Rothman, B. S., Leonard, J. C., & Vigoda, M. M. (2012) · Mount Sinai Journal of Medicine A Journal of Translational and Personalized Medicine · doi:10.1002/msj.21351 · Cited by 124
Enhancing Pediatric Mental Health Care: Strategies for Preparing a Primary Care Practice
Foy, J. M., Kelleher, K. J., & Laraque, D. (2010) · PEDIATRICS · doi:10.1542/peds.2010-0788e · Cited by 123
Value of the electronic patient record: An analysis of the literature
Uslu, A., & Stausberg, J. (2008) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2008.02.001 · Cited by 110
An analysis of electronic health record–related patient safety incidents
Palojoki, S., Mäkelä, M., Lehtonen, L., & Saranto, K. (2016) · Health Informatics Journal · doi:10.1177/1460458216631072 · Cited by 120
Does health informatics have a replication crisis?
Coiera, E. W., Ammenwerth, E., Georgiou, A., & Magrabi, F. (2018) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocy028 · Cited by 107
Evidence Of An Emerging Digital Divide Among Hospitals That Care For The Poor
Jha, A. K., DesRoches, C. M., Shields, A. E., Miralles, P. D., Zheng, J., Rosenbaum, S., & Campbell, E. G. (2009) · Health Affairs · doi:10.1377/hlthaff.28.6.w1160 · Cited by 104
Harris, D. A., Haskell, J., Cooper, E., Crouse, N., & Gardner, R. (2018) · Applied Nursing Research · doi:10.1016/j.apnr.2018.06.014 · Cited by 104
Biomedical informatics and translational medicine
Sarkar, I. N. (2010) · Journal of Translational Medicine · doi:10.1186/1479-5876-8-22 · Cited by 102
“…however, there remains great interest in overall benefit of patient care and management to keep up with the dizzying pace of modern medicine within the clinical informatics community[176,178,179], including the development of integrated clinical decision support systems[66].”
BackgroundHolden, R. J. (2011) · Journal of Patient Safety · doi:10.1097/pts.0b013e3182388cfa · Cited by 102
Organizing the U.S. Health Care Delivery System for High Performance
Schoenbaum, S. C., McCarthy, D., Shih, A., Nuzum, R., Davis, K. C., & Gauthier, A. H. (2008) · Cited by 95
Electronic Health Record Components and the Quality of Care
Keyhani, S., Hebert, P. L., Ross, J. S., Federman, A. D., Zhu, C. W., & Siu, A. L. (2008) · Medical Care · doi:10.1097/mlr.0b013e31817e18ae · Cited by 92
“In our study, we found no relationship between CPOE and the quality of prescribing for chronic conditions in ambulatory settings.(9) However, research that has documented improved prescribing through the use of EHRs has usually used guideline reminders and e-mail prompts as interventions that helped physicians identif…”
BackgroundInfluentialPaperless healthcare: Progress and challenges of an IT-enabled healthcare system
Adler‐Milstein, J., & Bates, D. W. (2009) · Business Horizons · doi:10.1016/j.bushor.2009.10.004 · Cited by 94
Expectations and experiences of eHealth in primary care: A qualitative practice-based investigation
Flynn, D. J., Gregory, P., Makki, H., & Gabbay, M. (2009) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2009.03.008 · Cited by 86
An examination of the antecedents and consequences of organizational IT innovation in hospitals
Leidner, D. E., Preston, D., & Chen, D. (2010) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2010.07.002 · Cited by 89
Adoption of electronic health records in Korean tertiary teaching and general hospitals
Yoon, D., Chang, B., Kang, S. W., Bae, H., & Park, R. W. (2011) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2011.12.002 · Cited by 85
“[7] P.”
BackgroundBarriers and success factors in health information technology: A practitioner's perspective
Kaye, R., Kokia, E. S., Shalev, V., Idar, D., & CHINITZ, D. P. (2010) · Journal of Management & Marketing in Healthcare · doi:10.1179/175330310x12736577732764 · Cited by 84
Understanding the implementation and integration of e-health services
Mair, F., May, C., Finch, T., Murray, E., Anderson, G. K., Sullivan, F., O'Donnell, C., Wallace, P., & Epstein, O. (2007) · Journal of Telemedicine and Telecare · doi:10.1258/135763307781645112 · Cited by 105
Factors influencing electronic health record adoption by physicians: A multilevel analysis
Gagnon, M., Simonyan, D., Ghandour, E. K., Godin, G., Labrecque, M., Ouimet, M., & Rousseau, M. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2015.12.002 · Cited by 78
Kahwaji, J. M., Bunnapradist, S., Hsu, J. Y., Idroos, M. L., & Dudek, R. R. (2010) · Transplantation · doi:10.1097/tp.0b013e3181ff8754 · Cited by 78
“There is some evidence supporting the use of EHR to improve quality of care and control costs (10, 11).”
BackgroundCresswell, K. M., Bates, D. W., Williams, R., Morrison, Z., Slee, A., Coleman, J. J., Robertson, A. R. R., Sheikh, A., Avery, A. J., Blake, L., et al. (2014) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2013-002252 · Cited by 77
“- Positive effects on resource utilization, provider productivity, and care efficiency (39,48)”
Use of electronic medical records differs by specialty and office settings
Kokkonen, E. W. J., Davis, S., Lin, H., Dabade, T. S., Feldman, S. R., & Fleischer, A. B. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-001609 · Cited by 76
Implementation of electronic medical records in hospitals: two case studies
Øvretveit, J., Scott, T., Rundall, T. G., Shortell, S. M., & Brommels, M. (2007) · Health Policy · doi:10.1016/j.healthpol.2007.05.013 · Cited by 76
Open source EMR software: Profiling, insights and hands-on analysis
Kiah, M. L. M., Al-Haiqi, A., Zaidan, B. B., & Zaidan, A. A. (2014) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2014.07.002 · Cited by 74
Raghavan, A., Demircioğlu, M. A., & Taeihagh, A. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18010334 · Cited by 73
“Researchers observe that cloud computing saves cost [54], simplifies healthcare operations [55], and leads to innovations [56].”
Zwaanswijk, M., Verheij, R. A., Wiesman, F. J., & Friele, R. D. (2011) · BMC Health Services Research · doi:10.1186/1472-6963-11-256 · Cited by 72
“This approach is hampered, however, by a lack of evidence about the effects of electronic information exchange on the efficiency, quality and costs of health care [1,2,17,18].”
BackgroundUnderstanding fragmentation of prostate cancer survivorship care
Skolarus, T. A., Zhang, Y., & Hollenbeck, B. K. (2011) · Cancer · doi:10.1002/cncr.26601 · Cited by 77
Yu, C. H. Y., Parsons, J. A., Mamdani, M., Lebovic, G., Hall, S., Newton, D. C., Shah, B. R., Bhattacharyya, O. K., Laupacis, A., & Straus, S. E. (2014) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-014-0117-3 · Cited by 80
Price, M., & Lau, F. (2014) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-14-43 · Cited by 79
REVIEWING THE IMPACT OF HEALTH INFORMATION TECHNOLOGY ON HEALTHCARE MANAGEMENT EFFICIENCY
Okolo, C. A., Ijeh, S., Arowoogun, J. O., Adeniyi, A. O., & Omotayo, O. (2024) · International Medical Science Research Journal · doi:10.51594/imsrj.v4i4.1000 · Cited by 69
Onyeaka, H., Romero, P. M., Healy, B. C., & Celano, C. M. (2020) · Journal of Aging and Health · doi:10.1177/0898264320966266 · Cited by 66
“…et al., 2020; Rasche et al., 2018), and it has been shown to enhance healthcare delivery (Pfaeffli Dale et al., 2015; Welch et al., 2015), improve health outcomes (Brennan et al., 2001, 2010; Pop-Eleches et al., 2011), and lower healthcare costs (Chaudhry et al., 2006; Shekelle et al., 2006).”
BackgroundHolmgren, A. J., & Adler‐Milstein, J. (2017) · Journal of Hospital Medicine · doi:10.12788/jhm.2704 · Cited by 64
The impact of routine data quality assessments on electronic medical record data quality in Kenya
Muthee, V., Bochner, A. F., Osterman, A., Liku, N., Akhwale, W., Kwach, J., Prachi, M., Wamicwe, J., Odhiambo, J., Onyango, F., et al. (2018) · PLOS ONE · doi:10.1371/journal.pone.0195362 · Cited by 64
Lyon, A. R., Wasse, J. K., Ludwig, K., Zachry, M., Bruns, E. J., Unützer, J., & McCauley, E. (2016) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-015-0637-x · Cited by 63
“Although it is difficult to calculate the full costs involved when developing a new HIT system, they typically represent lengthy and resource-intensive processes (Shekelle et al. 2006).”
Reis, Z. S. N., Maia, T. A., Marcolino, M. S., Becerra-Posada, F., Novillo-Ortiz, D., & Ribeiro, A. L. P. (2017) · JMIR Medical Informatics · doi:10.2196/medinform.7400 · Cited by 63
“However, demographics and patient data are highly fragmented and distributed across multiple unintegrated systems [3].”
BackgroundMaxson, E., JAIN, S. H., Kendall, M., Mostashari, F., & Blumenthal, D. (2010) · Annals of Internal Medicine · doi:10.7326/0003-4819-153-10-201011160-00011 · Cited by 65
Berndt, R.-D., Takenga, C., Preik, P., Kuehn, S., Berndt, L., Mayer, H., Kaps, A., & Schiel, R. (2014) · Journal of Personalized Medicine · doi:10.3390/jpm4020200 · Cited by 61
The Interface of Primary and Oncology Specialty Care: From Symptoms to Diagnosis
Nekhlyudov, L., & Latosinsky, S. (2010) · JNCI Monographs · doi:10.1093/jncimonographs/lgq001 · Cited by 61
“(27), information technology has the potential to transform health”
BackgroundCresswell, K. M., Morrison, Z., Crowe, S., Robertson, A. R. R., & Sheikh, A. (2011) · Journal of Innovation in Health Informatics · doi:10.14236/jhi.v19i4.814 · Cited by 69
Stuck, A. E., Kharicha, K., Dapp, U., Anders, J., Renteln-Kruse, W. V., Meier-Baumgartner, H. P., Iliffe, S., Harari, D., Bachmann, M. D., Egger, M., et al. (2007) · BMC Medical Research Methodology · doi:10.1186/1471-2288-7-2 · Cited by 59
Police, R. L., Foster, T. S., & Wong, K. S. (2010) · Journal of Innovation in Health Informatics · doi:10.14236/jhi.v18i4.780 · Cited by 59
A Tracking and Feedback Registry to Reduce Racial Disparities in Breast Cancer Care
Bickell, N. A., Shastri, K., Fei, K., Oluwole, S. F., Godfrey, H., Hiotis, K. L., Srinivasan, A., & Guth, A. A. (2008) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djn387 · Cited by 59
Abraham, J., Novak, L. L., Reynolds, T. L., Gettinger, A., & Zheng, K. (2016) · Yearbook of Medical Informatics · doi:10.15265/iy-2016-036 · Cited by 61
Physicians’ perception and attitude toward electronic medical record
Lakbala, P., & Dindarloo, K. (2014) · SpringerPlus · doi:10.1186/2193-1801-3-63 · Cited by 69
Kennebeck, S., Timm, N. L., Farrell, M. K., & Spooner, S. A. (2011) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000462 · Cited by 57
“Increasing numbers of hospitals and healthcare centers are adopting electronic health record (EHR) systems with the goal of improving healthcare quality while potentially decreasing costs.(1) 2 These systems are presently undergoing greater scrutiny as models throughout the USA can be systematically evaluated.”
BackgroundPharmacologic Management of Atrial Fibrillation: Established and Emerging Options
Kalus, J. S. (2009) · Journal of Managed Care Pharmacy · doi:10.18553/jmcp.2009.15.s6-b.10 · Cited by 57
Kooij, L., Groen, W. G., & van Harten, W. H. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7405 · Cited by 59
“Additionally, IT can support health care processes and has the potential to improve quality [16] and efficiency of care processes [15,16].”
eHealth: Past And Future Perspectives
van Rooij, T., & Marsh, S. (2016) · Personalized Medicine · doi:10.2217/pme.15.40 · Cited by 53
Provider‐to‐provider electronic communication in the era of meaningful use: A review of the evidence
Walsh, C. G., Siegler, E. L., Cheston, E., O’Donnell, H. C., Collins, S., Stein, D. M., Vawdrey, D. K., & Stetson, P. D. (2013) · Journal of Hospital Medicine · doi:10.1002/jhm.2082 · Cited by 57
Evaluation of the electronic self-report Symptom Screening in Pediatrics Tool (SSPedi)
O’Sullivan, C., Dupuis, L. L., Gibson, P. J., Johnston, D. L., Baggott, C., Portwine, C., Spiegler, B. J., Kuczynski, S., Tomlinson, D., TOMLINSON, G. A., et al. (2016) · BMJ Supportive & Palliative Care · doi:10.1136/bmjspcare-2015-001084 · Cited by 54
Haddad, S. M., Cecatti, J. G., Parpinelli, M. Â., Souza, J. P., Costa, M. L., Sousa, M. H., Surita, F. G., Silva, J. L. P. E., Pacagnella, R. C., de Camargo, R. S., et al. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-283 · Cited by 53
“Few countries and institutions have well-structured systems of health data technology in which data are used in real-time for adjusting healthcare and performing surveillance [21-25].”
BackgroundA Roadmap for the Adoption of e-Health
Dixon (2007) · e-Service Journal · doi:10.2979/esj.2007.5.3.3 · Cited by 53
“It is widely believed that e-health can address many of the problems currently faced by the American health care system, including but not limited to rising costs, suboptimal quality, and risk of injury or death from mistakes (Shekelle et al., 2006).”
BackgroundInfluentialHolden, R. J., Brown, R., Alper, S. J., Scanlon, M. C., Patel, N., & Karsh, B. (2011) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2011.02.007 · Cited by 55
“1) builds directly on the conceptual frameworks of Carayon et al [7] and Holden and Karsh [2,8,9,4] and indirectly on “structure-process-outcome” [10] models and evaluation frameworks in the health IT literature [11–16].”
BackgroundModelling the Expected Net Benefits of Interventions to Reduce the Burden of Medication Errors
Karnon, J. D., McIntosh, A., Dean, J., Bath, P. A., Hutchinson, A., Oakley, J. E., Thomas, N., Pratt, P., Freeman-Parry, L., Karsh, B., et al. (2008) · Journal of Health Services Research & Policy · doi:10.1258/jhsrp.2007.007011 · Cited by 53
Chumbler, N. R., Haggstrom, D. A., & Saleem, J. J. (2010) · Medical Care · doi:10.1097/mlr.0b013e3181d558f9 · Cited by 55
Revista Española de Anestesiología y Reanimación
Macaya, M. B. (2016) · Cited by 52
The Adoption and Use of Health Information Technology in Rural Areas: Results of a National Survey
Singh, R. K. P. G., Lichter, M. I., Danzo, A., Taylor, J. S., & Rosenthal, T. C. (2011) · The Journal of Rural Health · doi:10.1111/j.1748-0361.2011.00370.x · Cited by 51
O'Neill, S. M., Hempel, S., Lim, Y.-W., Danz, M. S., Foy, R., Suttorp, M. J., Shekelle, P., & Rubenstein, L. V. (2011) · BMJ Quality & Safety · doi:10.1136/bmjqs.2010.050880 · Cited by 49
Self-citationHannaford, N., Mandel, C., Crock, C., Buckley, K. S., Magrabi, F., Ong, M., Allen, S., & Schultz, T. (2013) · British Journal of Radiology · doi:10.1259/bjr.20120336 · Cited by 49
Creation and evaluation of EMR-based paper clinical summaries to support HIV-care in Uganda, Africa
Were, M. C., Shen, C., Bwana, M., Emenyonu, N. I., Musinguzi, N., Nkuyahaga, F., Kembabazi, A., & Tierney, W. M. (2009) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2009.11.006 · Cited by 49
“The important role of EMRs in mproving care has been well-demonstrated in industrialized ountries [4].”
Walker, D. M., Johnson, T., Ford, E. W., & Huerta, T. R. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6296 · Cited by 49
“The growth in health information technology (HIT) use throughout the health care industry has aimed to improve care quality, as well as the efficiency of the health care system [5,6].”
BackgroundYerrabothala, S., Desrosiers, K. P., Szczepiorkowski, Z. M., & Dunbar, N. M. (2014) · Transfusion · doi:10.1111/trf.12627 · Cited by 48
“Application of health information technology has been shown to increase adherence to guidelines and decrease inappropriate utilization of care.(14,15) The use of computerized provider order entry (CPOE) can improve compliance with clinical guidelines and decrease the costs of overuse and misuse of health services.”
BackgroundHealth Insurance Claim Review Using Information Technologies
Park, Y., Yoon, J.-S., Speedie, S. M., Hojung, Y., & Lee, J. (2012) · Healthcare Informatics Research · doi:10.4258/hir.2012.18.3.215 · Cited by 45
“IT infrastructure solutions have tremendous potential for creating safe and effective work processes [6].”
BackgroundExploring the motivators of technology adoption in healthcare
Alrahbi, D., Khan, M., & Hussain, M. (2019) · International Journal of Healthcare Management · doi:10.1080/20479700.2019.1607451 · Cited by 45
The effect of self-management education through weblogs on the quality of life of diabetic patients
Rasoul, A. M., Jalali, R., Abdi, A., Salari, N., Rahimi, M., & Mohammadi, M. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-0941-6 · Cited by 50
Schiel, R., Kaps, A., & Bieber, G. (2011) · Appetite · doi:10.1016/j.appet.2011.11.021 · Cited by 45
Burke, R. P., Rossi, A. F., Wilner, B. R., Hannan, R. L., Zabinsky, J. A., & White, J. A. (2010) · Cardiology in the Young · doi:10.1017/s1047951110000363 · Cited by 46
“Electronic Health Records and Personal Health Records have been developed to address these deficiencies, leveraging the power of automated data capture, legibility, and on-demand availability.(4,5) Patient’s access to electronic health records became a federal mandate in 2004,(6) and early reports of patients with chr…”
McAlearney, A. S., Hefner, J. L., Sieck, C. J., & Huerta, T. R. (2015) · Health Services Research · doi:10.1111/1475-6773.12227 · Cited by 57
Explaing users’ technology acceptance through national cultural values in the hospital context
Metallo, C., Agrifoglio, R., Lepore, L., & Landriani, L. (2022) · BMC Health Services Research · doi:10.1186/s12913-022-07488-3 · Cited by 43
“Background Current research demonstrates that health information technology (HIT) can improve patient safety and healthcare quality, yielding cost savings and reducing medical error rates [1].”
BackgroundDesveaux, L., Agarwal, P., Shaw, J., Hensel, J. M., Mukerji, G., Onabajo, N., Marani, H., Jamieson, T., Bhattacharyya, O. K., Martin, D., et al. (2016) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-016-0381-5 · Cited by 42
“Web and mobile-based platforms for self-management interventions are promising as they can improve patient knowledge, and clinical outcomes [39] while being scaled to improve access for patients who are computer-literate at little cost [40].”
Background
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review