| Title |
Organizational Performance and Regulatory Compliance as Measured by Clinical Pertinence Indicators Before and After Implementation of Anesthesia Information Management System (AIMS)
|
|---|---|
| Published in |
Journal of Medical Systems, January 2014
|
| DOI | 10.1007/s10916-013-0005-x |
| Pubmed ID | |
| Authors |
Clark K. Choi, Darlene Saberito, Changa Tyagaraj, Kalpana Tyagaraj |
| Abstract |
Previous studies have suggested that electronic medical records (EMR) can lead to a greater reduction of medical errors and better adherence to regulatory compliance than paper medical records (PMR). In order to assess the organizational performance and regulatory compliance, we tracked different clinical pertinence indicators (CPI) in our anesthesia information management system (AIMS) for 5 years. These indicators comprised of the protocols from the Surgical Care Improvement Project (SCIP), elements of performance (EP) from The Joint Commission (TJC), and guidelines from the Centers for Medicare and Medicaid Services (CMS). A comprehensive AIMS was initiated and the CPI were collected from October 5, 2009 to December 31, 2010 (EMR period) and from January 1, 2006 to October 4, 2009 (PMR period). Fourteen CPI were found to be common between the EMR and PMR periods. Based on the statistical analysis of the 14 common CPI, there was a significant increase (p < 0.001) in overall compliance after the introduction of EMR compared to the PMR period. The increase in overall compliance was significantly progressive (p = 0.013) from year to year over 2006 and 2010. Of the 14 CPI, Documentation of a) medication doses, and b) monitoring of postoperative physiological status, mental status, and pain scores showed significant improvement (p < 0.001) during the EMR period compared to the PMR period. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 2% |
| Unknown | 44 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 16% |
| Student > Master | 6 | 13% |
| Student > Doctoral Student | 5 | 11% |
| Student > Postgraduate | 5 | 11% |
| Researcher | 4 | 9% |
| Other | 8 | 18% |
| Unknown | 10 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 24% |
| Nursing and Health Professions | 4 | 9% |
| Business, Management and Accounting | 4 | 9% |
| Computer Science | 4 | 9% |
| Engineering | 4 | 9% |
| Other | 6 | 13% |
| Unknown | 12 | 27% |
Attention Score in Context
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#20,251,039
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Outputs from Journal of Medical Systems
#994
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Outputs of similar age from Journal of Medical Systems
#7
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