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Table 1. Components of Guideline Adherence Scores. Statistical Analysis To explore differences between the EMR and non-EMR practices, we used Fisher exact tests for categorical variables eg, ownership, practice type , and analysis of variance for continuous variables eg, number of clinicians. Table 2. Table 3. Table 4. Previous Section. Institute of Medicine U. Committee on Quality of Health Care in America.

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Google Scholar. The future of family medicine: a collaborative project of the family medicine community. Ann Fam Med. Health Aff Millwood. Hackbarth G, Milgate K.


  • The Declaration;
  • Ann. Appl. Sport Sci.;
  • Introduction.
  • John E Ettlie?

Using quality incentives to drive physician adoption of health information technology. Goodman C. Savings in electronic medical record systems? Do it for the quality. Improving safety with information technology. N Engl J Med. CrossRef Medline Google Scholar. Using electronic health records to help coordinate care. Milbank Q. The White House.

Accessed: 17 July Can electronic medical record systems transform health care? Potential health benefits, savings, and costs. Missing clinical information during primary care visits. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. Lobach DF. Electronically distributed, computer-generated, individualized feedback enhances the use of a computerized practice guideline.

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Multifaceted support to improve clinical decision making in diabetes care: a randomized controlled trial in general practice. Diabet Med. A randomized trial of electronic clinical reminders to improve quality of care for diabetes and coronary artery disease. J Am Med Inform Assoc. A systematic review of computer-based patient record systems and quality of care: more randomized clinical trials or a broader approach?

Int J Qual Health Care. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. Systematic review: impact of health information technology on quality, efficiency, and costs of medical care. Ann Intern Med. Sidorov J. Nease DE, Jr. ClinfoTracker: a generalizable prompting tool for primary care.

J Am Board Fam Pract. Interventions to improve the management of diabetes mellitus in primary care, outpatient and community settings. Cochrane Database Syst Rev. The impact of planned care and a diabetes electronic management system on community-based diabetes care: the Mayo Health System Diabetes Translation Project. Diabetes Care.

Electronic medical records and diabetes care improvement: are we waiting for Godot? Factors driving diabetes care improvement in a large medical group: ten years of progress. Am J Manag Care. Medline Google Scholar.

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Implementing an electronic medical record in a family medicine practice: communication, decision making, and conflict. Impact of an electronic medical record on diabetes quality of care. How complexity science can inform a reflective process for improvement in primary care practices. SAS for Windows [computer program]. Version 9. Analysis of repeated categorical data using generalized estimating equations. Gal-Or, E. The economic incentives for sharing security information.

Information Systems Research, 16 2 , Gates, W. Designing agent-based electronic employment markets. Geoffrion, A.

Information Technology and the Changing Fabric of Organization

E-business and management science: Mutual impacts part 1 of 2. E-business and management science: Mutual impacts part 2 of 2. Management Science, 49 11 , Gmytrasiewicz, P. Decision Support System, 39 2 , Guarnaschelli, S. Information aggregation in double auctions: Rational expectations and the winner's curse.

Information Systems Frontiers, 5 1 , He, M. Agents in E-commerce: State of the art. Knowledge and Information Systems, 4 3 , Jain, S. Pricing of information products on online servers: Issues, models, and analysis. Management Science, 48 9 , Jarvenpaa, S. An information company in mexico: Extending the resource-based view of the firm to a developing country.

Information Systems Research, 9 4 , Is anybody out there? Han, X. Gopal, R. Eftekhari, S. Ransbotham, S. Boylu, F. Wang, L. Garfinkel, R. Bapna, R. Aggarwal, R. Bai, X. Das, S. Bhattacharjee, S. Appendix 2 shows the output-oriented VRS technical efficiency of customer service centres of the telecommunication firms. The results reveal that 12, representing about Respondents participated in the survey willingly and their identities were not disclosed in accordance with their request.

The output-oriented constant returns to scale and variable returns to scale, obtained from using data envelopment analysis, justified the acceptance of the alternate hypothesis. Viewed from the constant returns to scale model, 15 customer service centres across the four GSM telecommunication firms were found to be productive. This implies that they were yielding outputs that corresponded with the resources invested in them.

However, the result of variable returns to scale showed some slight downward slope, as only 12 of the 42 customer service centres were reported to be productive. The assumption of constant returns to scale is that decision-making units, in this case customer service centres, would produce outputs that are directly proportionate to the resources invested in them. While on the other hand, variable returns to scale assume that, given the effect of environmental conditions on the production or transformation process, resources invested might not always yield proportionate outputs.

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The implication is that outputs will vary depending on the extent to which the transformation process is impeded Emerald Group Publishing Hence, in reality the assumption of variability holds. They will also need to ensure that a larger number of customer complaints are resolved. This study adopted the DEA application to determine the influence of group-explicit knowledge on the productivity of telecommunication organisations in Nigeria.

Data were gathered from the customer service centres of the telecommunication firms in the GSM sub-market and this gave very insightful details to the research work with respect to the use of explicit knowledge such as training and formal education, as a means of enhancing firm-level productivity.