Literature DB >> 16606384

Computer-assisted technology: not if, not when, but how. A systematic review of interactive computer-assisted technology in diabetes care.

Jaan Sidorov.   

Abstract

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Year:  2006        PMID： 16606384      PMCID： PMC1484652          DOI： 10.1111/j.1525-1497.2006.0344.x

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN： 0884-8734            Impact factor:   5.128


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  20 in total

1.  Myths and realities of electronic medical records. 9 vital functions combine to create comprehensive EMR.

Authors:  Robert Hodge
Journal:  Physician Exec       Date:  2002 Jan-Feb

2.  If electronic medical records are so great, why aren't family physicians using them?

Authors:  Glenn A Loomis; J Scott Ries; Robert M Saywell; Nitesh R Thakker
Journal:  J Fam Pract       Date:  2002-07       Impact factor: 0.493

3.  A proposal for electronic medical records in U.S. primary care.

Authors:  David W Bates; Mark Ebell; Edward Gotlieb; John Zapp; H C Mullins
Journal:  J Am Med Inform Assoc       Date:  2003 Jan-Feb       Impact factor: 4.497

4.  The quality of health care delivered to adults in the United States.

Authors:  Elizabeth A McGlynn; Steven M Asch; John Adams; Joan Keesey; Jennifer Hicks; Alison DeCristofaro; Eve A Kerr
Journal:  N Engl J Med       Date:  2003-06-26       Impact factor: 91.245

Review 5.  Using information technology to improve the health care of older adults.

Authors:  Michael Weiner; Christopher M Callahan; William M Tierney; J Marc Overhage; Burke Mamlin; Paul R Dexter; Clement J McDonald
Journal:  Ann Intern Med       Date:  2003-09-02       Impact factor: 25.391

6.  Barriers to proliferation of electronic medical records.

Authors:  Ignacio Valdes; David C Kibbe; Greg Tolleson; Mark E Kunik; Laura A Petersen
Journal:  Inform Prim Care       Date:  2004

7.  Can electronic medical record systems transform health care? Potential health benefits, savings, and costs.

Authors:  Richard Hillestad; James Bigelow; Anthony Bower; Federico Girosi; Robin Meili; Richard Scoville; Roger Taylor
Journal:  Health Aff (Millwood)       Date:  2005 Sep-Oct       Impact factor: 6.301

8.  Developing a prediction rule from automated clinical databases to identify high-risk patients in a large population with diabetes.

Authors:  J V Selby; A J Karter; L M Ackerson; A Ferrara; J Liu
Journal:  Diabetes Care       Date:  2001-09       Impact factor: 19.112

9.  Electronic technology: a spark to revitalize primary care?

Authors:  Thomas Bodenheimer; Kevin Grumbach
Journal:  JAMA       Date:  2003-07-09       Impact factor: 56.272

10.  Effectiveness of the electronic medical record in improving the management of hypertension.

Authors:  James W Kinn; Joseph C Marek; Michael F O'Toole; Stephen M Rowley; Vincent J Bufalino
Journal:  J Clin Hypertens (Greenwich)       Date:  2002 Nov-Dec       Impact factor: 3.738
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