Predicting the adoption of electronic health records by physicians: when will health care be paperless?

@article{citeulike:3019423, abstract = {OBJECTIVES: The purpose of this study was threefold. First, we gathered and synthesized the historic literature regarding electronic health record (EHR) adoption rates among physicians in small practices (ten or fewer members). Next, we constructed models to project estimated future EHR adoption trends and timelines. We then determined the likelihood of achieving universal EHR adoption in the near future and articulate how barriers can be overcome in the small and solo practice medical environment. DESIGN: This study used EHR adoption data from six previous surveys of small practices to estimate historic market penetration rates. Applying technology diffusion theory, three future adoption scenarios, optimistic, best estimate, and conservative, are empirically derived. MEASUREMENT: EHR adoption parameters, external and internal coefficients of influence, are estimated using Bass diffusion models. RESULTS: All three EHR scenarios display the characteristic diffusion S curve that is indicative that the technology is likely to achieve significant market penetration, given enough time. Under current conditions, EHR adoption will reach its maximum market share in 2024 in the small practice setting. CONCLUSION: The promise of improved care quality and cost control has prompted a call for universal EHR adoption by 2014. The EHR products now available are unlikely to achieve full diffusion in a critical market segment within the time frame being targeted by policy makers.}, address = {Center for Healthcare Leadership and Strategy, Texas Tech University, Lubbock, TX 79409, USA. eford@ttu.edu}, author = {Ford, E. W. and Menachemi, N. and Phillips, M. T. }, citeulike-article-id = {3019423}, doi = {http://dx.doi.org/10.1197/jamia.M1913}, issn = {1067-5027}, journal = {Journal of the American Medical Informatics Association : JAMIA}, keywords = {adoption, ehr}, number = {1}, pages = {106--112}, posted-at = {2008-07-18 20:16:54}, priority = {2}, title = {Predicting the adoption of electronic health records by physicians: when will health care be paperless?}, url = {http://dx.doi.org/10.1197/jamia.M1913}, volume = {13}, year = {2006} }

TY - JOUR ID - citeulike:3019423 L3 - citeulike-article-id:3019423 TI - Predicting the adoption of electronic health records by physicians: when will health care be paperless? JF - Journal of the American Medical Informatics Association : JAMIA VL - 13 IS - 1 SP - 106 EP - 112 AD - Center for Healthcare Leadership and Strategy, Texas Tech University, Lubbock, TX 79409, USA. eford@ttu.edu SN - 1067-5027 N2 - OBJECTIVES: The purpose of this study was threefold. First, we gathered and synthesized the historic literature regarding electronic health record (EHR) adoption rates among physicians in small practices (ten or fewer members). Next, we constructed models to project estimated future EHR adoption trends and timelines. We then determined the likelihood of achieving universal EHR adoption in the near future and articulate how barriers can be overcome in the small and solo practice medical environment. DESIGN: This study used EHR adoption data from six previous surveys of small practices to estimate historic market penetration rates. Applying technology diffusion theory, three future adoption scenarios, optimistic, best estimate, and conservative, are empirically derived. MEASUREMENT: EHR adoption parameters, external and internal coefficients of influence, are estimated using Bass diffusion models. RESULTS: All three EHR scenarios display the characteristic diffusion S curve that is indicative that the technology is likely to achieve significant market penetration, given enough time. Under current conditions, EHR adoption will reach its maximum market share in 2024 in the small practice setting. CONCLUSION: The promise of improved care quality and cost control has prompted a call for universal EHR adoption by 2014. The EHR products now available are unlikely to achieve full diffusion in a critical market segment within the time frame being targeted by policy makers. KW - adoption KW - ehr AU - Ford, EW AU - Menachemi, N AU - Phillips, MT PY - 2006///b UR - http://dx.doi.org/10.1197/jamia.M1913 ER -