DAVID BATES to Diffusion of Innovation
This is a "connection" page, showing publications DAVID BATES has written about Diffusion of Innovation.
Connection Strength
5.385
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Late adopters of the electronic health record should move now. BMJ Qual Saf. 2020 03; 29(3):238-240.
Score: 0.604
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Who adopts a patient portal?: An application of the diffusion of innovation model. J Innov Health Inform. 2018 Oct 25; 25(3):149-157.
Score: 0.561
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Medical Innovation: The Authors Reply. Health Aff (Millwood). 2017 08 01; 36(8):1519.
Score: 0.515
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Innovative Environments In Health Care: Where And How New Approaches To Care Are Succeeding. Health Aff (Millwood). 2017 03 01; 36(3):400-407.
Score: 0.500
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Patient perceptions of a personal health record: a test of the diffusion of innovation model. J Med Internet Res. 2012 Nov 05; 14(6):e150.
Score: 0.371
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Standard practices for computerized clinical decision support in community hospitals: a national survey. J Am Med Inform Assoc. 2012 Nov-Dec; 19(6):980-7.
Score: 0.361
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Electronic health records: which practices have them, and how are clinicians using them? J Eval Clin Pract. 2008 Feb; 14(1):43-7.
Score: 0.267
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Physicians and electronic health records: a statewide survey. Arch Intern Med. 2007 Mar 12; 167(5):507-12.
Score: 0.251
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Correlates of electronic health record adoption in office practices: a statewide survey. J Am Med Inform Assoc. 2007 Jan-Feb; 14(1):110-7.
Score: 0.244
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Factors and forces affecting EHR system adoption: report of a 2004 ACMI discussion. J Am Med Inform Assoc. 2005 Jan-Feb; 12(1):8-12.
Score: 0.212
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The Riyadh Declaration: the role of digital health in fighting pandemics. Lancet. 2020 11 14; 396(10262):1537-1539.
Score: 0.160
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Improving Adoption of EHRs in Psychiatric Care. N Engl J Med. 2018 May 03; 378(18):1665-1667.
Score: 0.136
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Ten key considerations for the successful optimization of large-scale health information technology. J Am Med Inform Assoc. 2017 01; 24(1):182-187.
Score: 0.118
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Acceptability and feasibility of the Leapfrog computerized physician order entry evaluation tool for hospitals outside the United States. Int J Med Inform. 2015 Sep; 84(9):694-701.
Score: 0.111
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Adoption of electronic health records in UK hospitals: lessons from the USA. Lancet. 2014 Jul 05; 384(9937):8-9.
Score: 0.104
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EHR adoption across China's tertiary hospitals: a cross-sectional observational study. Int J Med Inform. 2014 Feb; 83(2):113-21.
Score: 0.098
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Physicians' use of key functions in electronic health records from 2005 to 2007: a statewide survey. J Am Med Inform Assoc. 2009 Jul-Aug; 16(4):465-70.
Score: 0.073
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Community-wide implementation of health information technology: the Massachusetts eHealth Collaborative experience. J Am Med Inform Assoc. 2009 Jan-Feb; 16(1):132-9.
Score: 0.070
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Electronic health records: use, barriers and satisfaction among physicians who care for black and Hispanic patients. J Eval Clin Pract. 2009 Feb; 15(1):158-63.
Score: 0.069
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The value of provider-to-provider telehealth. Telemed J E Health. 2008 Jun; 14(5):446-53.
Score: 0.068
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Preventing medication errors: a summary. Am J Health Syst Pharm. 2007 Jul 15; 64(14 Suppl 9):S3-9; quiz S24-6.
Score: 0.064
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Developing and implementing new safe practices: voluntary adoption through statewide collaboratives. Qual Saf Health Care. 2006 Aug; 15(4):289-95.
Score: 0.060
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Assessing the level of healthcare information technology adoption in the United States: a snapshot. BMC Med Inform Decis Mak. 2006 Jan 05; 6:1.
Score: 0.058
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Physicians and ambulatory electronic health records. Health Aff (Millwood). 2005 Sep-Oct; 24(5):1180-9.
Score: 0.056
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Functional gaps in attaining a national health information network. Health Aff (Millwood). 2005 Sep-Oct; 24(5):1281-9.
Score: 0.056
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Overcoming barriers to adopting and implementing computerized physician order entry systems in U.S. hospitals. Health Aff (Millwood). 2004 Jul-Aug; 23(4):184-90.
Score: 0.052
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Defining the priorities and challenges for the adoption of Information Technology in HealthCare: opinions from an expert panel. AMIA Annu Symp Proc. 2003; 881.
Score: 0.047
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The use of information technology in improving medical performance. Part II. Physician-support tools. MedGenMed. 2000 Feb 14; 2(1):E13.
Score: 0.038
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A qualitative study identifying the cost categories associated with electronic health record implementation in the UK. J Am Med Inform Assoc. 2014 Oct; 21(e2):e226-31.
Score: 0.025
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The relationship between electronic health record use and quality of care over time. J Am Med Inform Assoc. 2009 Jul-Aug; 16(4):457-64.
Score: 0.018
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Do minority-serving physicians have comparable rates of use of electronic health records? AMIA Annu Symp Proc. 2007 Oct 11; 993.
Score: 0.016