To assess the current state of electronic health record (EHR) use by ophthalmologists, including adoption rate and user satisfaction.
Population-based, cross-sectional study.
A total of 592 members of the American Academy of Ophthalmology (AAO) participated.
A total of 3796 AAO members were randomly selected on the basis of geography and solicited to participate in a study of EHR adoption. Among those solicited, 392 members completed a web-based version of the survey and 200 members completed a telephone-based version. The survey included sections assessing the current level of EHR adoption, the value of various EHR features, the practice demographics, and, for participants with an EHR, the details of their system. Responses were collected and analyzed using univariate statistical tests.
Current adoption rate of EHRs, user satisfaction with EHRs, and importance of various EHR features to both users and nonusers.
Overall, 12% of the practices surveyed had already implemented an EHR, 7% were in the process of doing so, and another 10% had plans to do so within 12 months. Both EHR users and nonusers rated the same EHR features as having the most value to their practices, and the 2 groups rated options for simplifying the EHR selection process similarly. Among those with an EHR in their practice, 69% were satisfied or extremely satisfied with their system, 64% reported increased or stable overall productivity, 51% reported decreased or stable overall costs, and 76% would recommend an EHR to a fellow ophthalmologist.
The adoption rate of EHRs by ophthalmology practices is low but comparable to that seen in other specialties. The satisfaction of those ophthalmologists already using an EHR is high. Because EHRs are part of the rapidly changing health information technology marketplace, the AAO Medical Information Technology Committee is planning to update these results on a regular basis.
"Assess ophthalmologists use of EHR by, using user satisfaction and adoption Chiang et al (2008) Electronic and phoned survey 3796 Assess the system satisfaction, quality of care, Barriers. DesRoches et al (2008) Mailed questionnaire Mailed questionnaire evaluate EHR through clinical volume, clinical documentation, and time requirement Chiang et al. (2013) Information from EHR reporting sys - Determine the effect of EHRs on quality of ambulatory a community. "
[Show abstract][Hide abstract] ABSTRACT: Electronic Health Record (EHR) has been adopted in many countries due to its ability to enhance and raise the healthcare quality. In Jordan, an EHR called Hakeem was launched by His Majesty King Abdullah Bin Al-Hussien to improve the health care and quality of the country's medical sector. This research aims to build a model which assess the EHR in general and Hakeem in particular. In the assessment, the research has undertaken the task of integrating two models namely: the Delone and Mclean's information system success model, and the Balanced Scorecard. The models contributed to perspectives which assess the success of Hakeem. Triangulation methods using qualitative and quantitative methods were adopted. This involves an interview, and questionnaire which results were used to build a case study. Prince Hamzah Hospital which implements Hakeem is central to the study. The results showed all Internal perspectives proposed by the two integrated models have strongly influenced the success of Hakeem. Another obvious result is in the relation between the perspectives which affect each other and reflected on the EHR success. This research has proposed an integrated EHR model that could be used in assessing the success of any EHR implementation. For future research undertaking, it is recommended that external success factors such as political, economic, social and technological are studies.
Procedia Economics and Finance 12/2015; 23:95-103. DOI:10.1016/S2212-5671(15)00526-2
"In an effort to alleviate the burden of healthcare costs and to improve service quality, U.S. policy makers have been working collaboratively toward removing the barriers to EHR adoption, and in 2004, President George W. Bush established a 10-year goal of implementing a national network of computer-based medical records (Chiang et al., 2008; Grabenbauer et al., 2011). "
[Show abstract][Hide abstract] ABSTRACT: Adoption of electronic health record systems in healthcare has been relatively slow. This article proposes critical success factors for electronic health record adoption based on a comprehensive literature review and prescriptive analysis. The proposed 26 critical success factors for electronic health records are of value to both practice and research: practitioners are offered guidance with regard to managing electronic health record implementations toward adoption success, while researchers are offered a basis for further research about electronic health record implementation and adoption.
Information Systems Management 10/2014; 31(4). DOI:10.1080/10580530.2014.958024 · 0.58 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: To compare the speed of retinopathy of prematurity (ROP) diagnosis using standard indirect ophthalmoscopy with that of telemedicine.
Prospective, comparative study.
Three study examiners (2 pediatric retinal specialists [R.V.P.C., T.C.L.] and 1 pediatric ophthalmologist [M.F.C.]) conducted ROP diagnosis via standard indirect ophthalmoscopy and telemedicine. Each examiner performed: 1) standard ophthalmoscopy on 72 to 150 consecutive infants at his respective institution and 2) telemedical diagnosis on 125 consecutive deidentified retinal image sets from infants from an at-risk population. Time for ophthalmoscopic diagnosis was measured in 2 ways: 1) time spent by the examiner at the infant's bedside and 2) mean total time commitment per infant. Time for telemedicine diagnosis was recorded by computer time stamps in the web-based system. For each examiner, nonparametric statistical analysis (Mann-Whitney U test) was used to compare the distribution of times for examination by ophthalmoscopy vs telemedicine.
Mean (+/- standard deviation [SD]) times for ophthalmoscopic diagnosis ranged from 4.17 (+/- 1.34) minutes to 6.63 (+/- 2.28) minutes per infant. Mean (+/- SD) times for telemedicine diagnosis ranged from 1.02 (+/- 0.27) minutes to 1.75 (+/- 0.80) minutes per infant. Telemedicine was significantly faster than ophthalmoscopy (P < .0001). The total time commitment by ophthalmologists performing bedside ophthalmoscopy for ROP diagnosis, including travel and communication with families and hospital staff, was 10.08 (+/- 2.53) minutes to 14.42 (+/- 2.64) minutes per infant.
The ophthalmologist time requirement for telemedical ROP diagnosis is significantly less than that for ophthalmoscopic diagnosis. Additional time requirements associated with bedside ROP diagnosis increased this disparity. Telemedicine has potential to alleviate the time commitment for ophthalmologists who manage ROP.
American Journal of Ophthalmology 04/2009; 148(1):136-42.e2. DOI:10.1016/j.ajo.2009.02.002 · 3.87 Impact Factor
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