Other Examples of Reviews

The following are some additional examples of systematic reviews on health information systems (HIS) we have come across in the literature. They are included here to demonstrate the range of inquiries and methods associated with systematic reviews.

"Effects of Computerized Clinical Decison Support Systems on Practitioner Performance and Patient Outcomes: A Systematic Review" by Garg et al. (2005)

This systematic review aimed to identify study characteristics predicting benefits in controlled trials assessing the effects of computerized clinical decision support systems (CDSS). The authors developed a 10-point scale for assessing methodological quality based on 5 potential sources of bias. The scoring method used in one of our reviews is a modified version of this.

Reference: Garg, A. X., Adhikari, N. K. J., McDonald, H., Rosas-Arellano, M. P., Devereaux, P. J., Beyene, J., et al. (2005). Effects of computerized clinical decision support systems on practitioner performance and patient outcomes. Journal of the American Medical Association, 293(10), 1223-1238.

"The Impact of Health Information Technology on the Quality of Medical and Health Care: A Systematic Review" by Jamal et al. (2009)

This review looked at the impact of health information technology or health information systems on the quality of healthcare with a focus on clinicians' adherence to evidence-based guidelines and corresponding impact on clinical outcomes. It included a wide range of HIS, which is reflected in the large Boolean search query constructed to cover all terms. A three-step search strategy is described in detail for this review.

Reference: Jamal, A., McKenzie, K., & Clark, M. (2009). The impact of health information technology on the quality of medical and health care: a systematic review. Health Information Management Journal, 38(3), 26-37.

"The Effect of Electronic Prescribing on Medication Errors and Adverse Drug Events: A Systematic Review" by Ammenwerth et al. (2008)

This review aimed to analyze the relative risk reduction on medication error and adverse drug events (ADE) by computerized physician order entry systems (CPOE). In this paper, the authors carried out statistical analysis to calculate the risk ratio by comparing medication error rates, potential ADE rates, and ADE rates between intervention and comparison groups. To do this, they had to use a common definition for error and ADE rates and calculate rates based on the given data.

Reference: Ammenwerth, E., Schnell-Inderst, P., Machan, C., & Siebert, U. (2008). The effect of electronic prescribing on medication errors and adverse drug events: a systematic review. Journal of the American Medical Informatics Association, 15(5), 585-600.