From the International Medical Informatics Association

ACI eJournal: 2012 Volume 3 (3) Starts, Completion of 2012 Volume 3 (2)

Volume 3(3) of the eJournal ACI – Applied Clinical Informatics – an official eJournal of IMIA and AMDIS – has now started with TWO new articles – see

New articles completing Volume 3 (2) are available, bringing the total to NINE articles (including one case report as free download).

In addition, the ACI News items are updated every Wednesday. All articles from Volume 0 (2009) and Volume 1(1) (2010), and some from other issues, are available as free downloads.

ACI makes active use of social media tools and can be found at:, and

Volume 3(3) – first two articles:

Dealing with the Archetypes Development Process for a Regional EHR System
Research Article
M. R. Santos (1), M. P. Bax (1), D. Kalra (2)
(1) Universidade Federal de Minas Gerais, Brazil; (2) University College London, United Kindow.
ACI 2012 3 3: 258-275

Multilingual Medical Data Models in ODM Format
A Novel Form-based Approach to Semantic Interoperability between Routine Healthcare and Clinical Research
B. Breil (1), J. Kenneweg (1), F. Fritz (1), P. Bruland (1), D. Doods (1), B. Trinczek (1), M. Dugas (1)
(1) Institute of Medical Informatics, University of Münster, Germany
ACI 2012 3 3: 276-289

Volume 3 (2) – four articles completing the volume:

Measurement Error in Performance Studies of Health Information Technology: Lessons from the Management Literature
A. S. Litwin (1), A. C. Avgar (2), P. J. Pronovost (3)
(1) Carey Business School and School of Medicine, Johns Hopkins University, Baltimore, MD; (2) School of Labor & Employment Relations and College of Medicine, University of Illinois at Urbana-Champaign, Urbana-Champaign, IL; (3) School of Medicine, Bloomberg School of Public Health, and Carey Business School, Johns Hopkins University, Baltimore, MD
ACI 2012 3 2: 210-220
In this review, the authors identify likely reasons for measurement error in determining the effects of health information technology on performance in the clinic. Using lessons from management literature, the authors identify seven likely causes of the measurement errors and make recommendations for avoiding the errors in future studies.

Real-time pharmacy surveillance and clinical decision support to reduce adverse drug events in acute kidney injury
A randomized, controlled trial
Research Article
A. B. McCoy (1), Z. L. Cox (2, 3), E. B. Neal (2), L. R. Waitman (4), N. B. Peterson (5), G. Bhave (6), E. D. Siew (6), I. Danciu (1), J. B. Lewis (6), J. F. Peterson (1, 5, 7)
(1) Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN; (2) Department of Pharmacy, Vanderbilt University Medical Center, Nashville, TN; (3) College of Pharmacy, Lipscomb University, Nashville, TN; (4) Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS; (5) Division of General Internal Medicine and Public Health, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN; (6) Division of Nephrology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN; (7) Geriatric Research Education Clinical Center (GRECC), VA Tennessee Valley Healthcare System, Nashville, TN
ACI 2012 3 2: 221-238
In this randomized controlled trial, the authors sought to determine if active pharmacy surveillance improved adverse drug event frequencies over clinical decisions support systems among a population of kidney disease patients. Patients were randomly assigned to monitoring by a clinical pharmacist and CDS or standard CDS only arms. The findings suggest clinical pharmacist monitoring does not result in improved frequencies of adverse events related to medication.

The Effects of Health Information Technology Change Over Time: A Study of Tele-ICU Functions
Research Article
S. H. Anders (1), D. D. Woods (2), S. Schweikhart (3), P. Ebright (4), E. Patterson (5)
(1) Center for Research & Innovation in Systems Safety, Vanderbilt University Medical Center (VUMC), Nashville, TN; (2) Integrated Systems Engineering, The Ohio State University, Columbus, OH; (3) College of Public Health, The Ohio State University, Columbus, OH; (4) Indiana University School of Nursing, Indianapolis, IN; (5) Division of Health Information Management and Systems, School of Allied Medical Professions, College of Medicine, The Ohio State University, Columbus, OH
ACI 2012 3 2: 239-247
Tele-ICU nursing has been associated with reduced patient mortality and improved quality of care. In this project, the authors sought to examine the effects of a tele-ICU system on hospital practices, as well as to determine changes in tele-ICU use over time. Their findings suggest that tele-ICUs increased support for patients, improved adherence to best practices, but decreased real-time support for the ICU nurses.

Classifying Health Information Technology patient safety related incidents – an approach used in Wales
Research Article
D. Warm (1), P. Edwards (1)
(1) Nursing and Social Care Information Directorate, NHS Wales Informatics Service, Pencoed, Wales
ACI 2012 3 2: 248-257
In this article, the authors describe and test a framework for categorizing HIT incidents as part of a patient safety incident reporting system and examine the implications for healthcare. Using the specific case of incidents in Wales, the authors determine that their preliminary framework needs expanding. They also argue that the incidents reported highlight clinical care implications of the use of mobile technology.

For further information on this peer-reviewed eJournal, go to

Further materials of interest from the same publishers are to be found in the journal Methods of Information on Medicine and in the IMIA Yearbook of Medical Informatics.

If you have any questions or feedback do not hesitate to contact Schattauer by sending an e-mail to claudia.boehm[at]

July 12, 2012 - Posted by | clinical informatics, IMIA, journals, research | , , , , , , ,

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