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Organizational Performance and Regulatory Compliance as Measured by Clinical Pertinence Indicators Before and After Implementation of Anesthesia Information Management System (AIMS)

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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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References

  1. Edsall, D. W., Deshane, P., Giles, C., et al., Computerized patient anesthesia records: less time and better quality than manually produced anesthesia records. J. Clin. Anesth. 5(4):275–283, 1993.

    Article  Google Scholar 

  2. Tang, P. C., LaRosa, M. P., and Gorden, S. M., Use of computer-based records, completeness of documentation, and appropriateness of documented clinical decisions. J. Am. Med. Inform. Assoc. 6(3):245–251, 1999.

    Article  Google Scholar 

  3. Devitt, J. H., Rapanos, T., Kurrek, M., Cohen, M. M., and Shaw, M., The anesthetic record: accuracy and completeness. Can. J. Anaesth. 46(2):122–128, 1999.

    Article  Google Scholar 

  4. Roukema, J., Los, R. K., Bleeker, S. E., et al., Paper versus computer: feasibility of an electronic medical record in general pediatrics. Pediatrics 117(1):15–21, 2006.

    Article  Google Scholar 

  5. Blumenthal, D., Launching HITECH. N. Engl. J. Med. 362(5):382–385, 2010.

    Article  Google Scholar 

  6. Classen, D. C., and Bates, D. W., Finding the meaning in meaningful use. N. Engl. J. Med. 365(9):855–858, 2011.

    Article  Google Scholar 

  7. Vigoda, M. M., and Lubarsky, D. A., The medicolegal importance of enhancing timeliness of documentation when using an anesthesia information system and the response to automated feedback in an academic practice. Anesth. Analg. 103(1):131–136, 2006.

    Article  Google Scholar 

  8. Driscoll, W. D., Columbia, M. A., and Peterfreund, R. A., An observational study of anesthesia record completeness using an anesthesia information management system. Anesth. Analg. 104(6):1454–1461, 2007.

    Article  Google Scholar 

  9. Muravchick, S., Caldwell, J. E., Epstein, R. H., et al., Anesthesia information management system implementation: a practical guide. Anesth. Analg. 107(5):1598–1608, 2008.

    Article  Google Scholar 

  10. Jang, J., Yu, S. H., Kim, C. B., Moon, Y., and Kim, S., The effects of an electronic medical record on the completeness of documentation in the anesthesia record. Int. J. Med. Inform. 82(8):702–707, 2013.

    Article  Google Scholar 

  11. Avidan, A., and Weissman, C., Context-sensitive mandatory data-entry fields for data completeness and accuracy in anesthesia information management systems. Can. J. Anaesth. 60(3):325–326, 2013.

    Article  Google Scholar 

  12. CMS Manual System. §482.52 Condition of participation: Anesthesia services. Available at: http://www.cms.gov/Regulations-and-Guidance/Guidance/Transmittals/Downloads/R74SOMA.pdf Accessed: 8/9/13

  13. Driscoll, W. D., Columbia, M. A., and Peterfreund, R. A., Awareness during general anesthesia: analysis of contributing causes aided by automatic data capture. J. Neurosurg. Anesthesiol. 19(4):268–272, 2007.

    Article  Google Scholar 

  14. Reich, D. L., Wood, R. K., Jr., Mattar, R., et al., Arterial blood pressure and heart rate discrepancies between handwritten and computerized anesthesia records. Anesth. Analg. 91(3):612–616, 2000.

    Article  Google Scholar 

  15. Wrightson, W. A., A comparison of electronic and handwritten anaesthetic records for completeness of information. Anaesth. Intensive Care. 38(6):1052–1058, 2010.

    Google Scholar 

  16. Wax, D. B., Beilin, Y., Levin, M., et al., The effect of an interactive visual reminder in an anesthesia information management system on timeliness of prophylactic antibiotic administration. Anesth. Analg. 104(6):1462–1466, 2007.

    Article  Google Scholar 

  17. Schwann, N. M., Bretz, K. A., Eid, S., et al., Point-of-care electronic prompts: an effective means of increasing compliance, demonstrating quality, and improving outcome. Anesth. Analg. 113(4):869–876, 2011.

    Google Scholar 

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Acknowledgments

The authors would like to thank Murali Pagala, Ph.D. for providing statistical analysis of the data and critically reading the manuscript.

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Correspondence to Kalpana Tyagaraj.

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Choi, C.K., Saberito, D., Tyagaraj, C. et al. Organizational Performance and Regulatory Compliance as Measured by Clinical Pertinence Indicators Before and After Implementation of Anesthesia Information Management System (AIMS). J Med Syst 38, 5 (2014). https://doi.org/10.1007/s10916-013-0005-x

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  • DOI: https://doi.org/10.1007/s10916-013-0005-x

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