Difference between revisions of "Measure of Clinical Information Technology Adoption"

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This is a review of the article "Measure of Clinical Information Technology Adoption".<ref name ="Lee 2013"> Lee, J., & Park, Y.-T. (2013). Measure of Clinical Information Technology Adoption. Healthcare Informatics Research, 19(1), 56–62. http://doi.org/10.4258/hir.2013.19.1.56</ref>
 
This is a review of the article "Measure of Clinical Information Technology Adoption".<ref name ="Lee 2013"> Lee, J., & Park, Y.-T. (2013). Measure of Clinical Information Technology Adoption. Healthcare Informatics Research, 19(1), 56–62. http://doi.org/10.4258/hir.2013.19.1.56</ref>
 
 
  
 
== Introduction ==
 
== Introduction ==
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Revision as of 20:07, 17 November 2015

This is a review of the article "Measure of Clinical Information Technology Adoption".[1]

Introduction

The study of clinical information technology has increased over the last few years. Studies have shown that clinical information technology can improve the quality of health care, as well as increase productivity and decrease cost. The purpose of the article was to create a new measure for clinical information technology adoption for clinical use.

Methods

Data from 2004 was used from the Health Information and Management Systems Society (HIMSS). The sample was pulled from hospitals that had more than 100 beds. A total of 3637 hospitals were used in this research. 18 IT applications were systems were evaluated based HIMSS’s definition of quality of care. The applications that were evaluated were scored based on an adoption evaluation score created.

Results

The results showed that over 90% adopted the basic systems including lab and pharmacy information systems. However, the adoption of CPOE and PACS were very low. The adoptions of basic systems were including radiology and surgery information systems were high among almost all of the hospitals, but the adoption of advanced systems varied among them.

Conclusion

Measuring clinical information technology is necessary to see the effect that it has on the quality of care. Many applications are created, so it’s important to measure these applications in order to see if they can be useful in a healthcare setting.

References

  1. Lee, J., & Park, Y.-T. (2013). Measure of Clinical Information Technology Adoption. Healthcare Informatics Research, 19(1), 56–62. http://doi.org/10.4258/hir.2013.19.1.56