Nir Menachemi to Diffusion of Innovation
This is a "connection" page, showing publications Nir Menachemi has written about Diffusion of Innovation.
Connection Strength
6.811
-
Environmental market factors associated with electronic health record adoption among cancer hospitals. Health Care Manage Rev. 2018 Oct/Dec; 43(4):303-314.
Score: 0.633
-
Hospital characteristics associated with achievement of meaningful use. J Healthc Manag. 2014 Jul-Aug; 59(4):272-84; discussion 285-6.
Score: 0.471
-
Market factors and electronic medical record adoption in medical practices. Health Care Manage Rev. 2012 Jan-Mar; 37(1):14-22.
Score: 0.396
-
Florida doctors seeing Medicaid patients show broad interest in federal incentives for adopting electronic health records. Health Aff (Millwood). 2011 Aug; 30(8):1461-70.
Score: 0.385
-
The relationship between local hospital IT capabilities and physician EMR adoption. J Med Syst. 2009 Oct; 33(5):329-35.
Score: 0.339
-
Hospital quality of care: does information technology matter? The relationship between information technology adoption and quality of care. Health Care Manage Rev. 2008 Jan-Mar; 33(1):51-9.
Score: 0.300
-
Hospital adoption of information technologies and improved patient safety: a study of 98 hospitals in Florida. J Healthc Manag. 2007 Nov-Dec; 52(6):398-409; discussion 410.
Score: 0.297
-
The relationship between pediatric volume and information technology adoption in hospitals. Qual Manag Health Care. 2007 Apr-Jun; 16(2):146-52.
Score: 0.285
-
The effect of payer mix on the adoption of information technologies by hospitals. Health Care Manage Rev. 2007 Apr-Jun; 32(2):102-10.
Score: 0.285
-
The influence of payer mix on electronic health record adoption by physicians. Health Care Manage Rev. 2007 Apr-Jun; 32(2):111-8.
Score: 0.285
-
Managed care penetration and other factors affecting computerized physician order entry in the ambulatory setting. Am J Manag Care. 2006 Dec; 12(12):738-44.
Score: 0.279
-
Charting the use of electronic health records and other information technologies among child health providers. BMC Pediatr. 2006 Jul 25; 6:21.
Score: 0.272
-
Examining the adoption of electronic health records and personal digital assistants by family physicians in Florida. Inform Prim Care. 2006; 14(1):1-9.
Score: 0.261
-
EHR and other IT adoption among physicians: results of a large-scale statewide analysis. J Healthc Inf Manag. 2006; 20(3):79-87.
Score: 0.261
-
Barriers to ambulatory EHR: who are 'imminent adopters' and how do they differ from other physicians? Inform Prim Care. 2006; 14(2):101-8.
Score: 0.261
-
Information technologies in Florida's rural hospitals: does system affiliation matter? J Rural Health. 2005; 21(3):263-8.
Score: 0.244
-
Factors affecting the adoption of telemedicine--a multiple adopter perspective. J Med Syst. 2004 Dec; 28(6):617-32.
Score: 0.243
-
Adoption factors associated with patient safety-related information technology. J Healthc Qual. 2004 Nov-Dec; 26(6):39-44.
Score: 0.241
-
Are there differences in health information exchange by health system type? Health Care Manage Rev. 2016 Oct-Dec; 41(4):325-33.
Score: 0.138
-
Physician and practice characteristics associated with longitudinal increases in electronic health records adoption. J Healthc Manag. 2011 May-Jun; 56(3):183-97; discussion 197-8.
Score: 0.095
-
An assessment of Health Care Information and Management Systems Society and Leapfrog data on computerized provider order entry. Health Serv Res. 2011 Oct; 46(5):1575-91.
Score: 0.094
-
EHR adoption among doctors who treat the elderly. J Eval Clin Pract. 2010 Dec; 16(6):1103-7.
Score: 0.092
-
Resistance is futile: but it is slowing the pace of EHR adoption nonetheless. J Am Med Inform Assoc. 2009 May-Jun; 16(3):274-81.
Score: 0.081
-
Market effects on electronic health record adoption by physicians. Health Care Manage Rev. 2008 Jul-Sep; 33(3):243-52.
Score: 0.078
-
Predicting computerized physician order entry system adoption in US hospitals: can the federal mandate be met? Int J Med Inform. 2008 Aug; 77(8):539-45.
Score: 0.075
-
Health care CIOs: assessing their fit in the organizational hierarchy and their influence on information technology capability. Health Care Manag (Frederick). 2006 Apr-Jun; 25(2):167-72.
Score: 0.066
-
Predicting the adoption of electronic health records by physicians: when will health care be paperless? J Am Med Inform Assoc. 2006 Jan-Feb; 13(1):106-12.
Score: 0.064
-
Diffusion of information technology supporting the Institute of Medicine's quality chasm care aims. J Healthc Qual. 2005 Jan-Feb; 27(1):24-32, 39.
Score: 0.061
-
Opening the black box: measuring hospital information technology capability. Health Care Manage Rev. 2004 Jul-Sep; 29(3):210-7.
Score: 0.059
-
Positioning the Health Services Research Workforce for Continued Success: Recommendations from AcademyHealth Stakeholders. Health Serv Res. 2018 10; 53 Suppl 2:4041-4050.
Score: 0.040
-
Does electronic health record use improve hospital financial performance? Evidence from panel data. Health Care Manage Rev. 2016 Jul-Sep; 41(3):267-74.
Score: 0.034
-
Impact of the HITECH Act on physicians' adoption of electronic health records. J Am Med Inform Assoc. 2016 Mar; 23(2):375-9.
Score: 0.032
-
The influence of payer mix on electronic prescribing by physicians. Health Care Manage Rev. 2011 Jan-Mar; 36(1):95-101.
Score: 0.023
-
Hospital IT adoption strategies associated with implementation success: implications for achieving meaningful use. J Healthc Manag. 2010 May-Jun; 55(3):175-88; discussion 188-9.
Score: 0.022
-
The role of organizational factors in the adoption of healthcare information technology in Florida hospitals. Health Care Manag Sci. 2008 Mar; 11(1):1-9.
Score: 0.019