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Health IT-Enabled Care Coordination and Redesign in Ambulatory Care

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Cognitive Informatics

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Abstract

In this chapter, we present and discuss findings from a study funded by the U.S. Agency for Healthcare Research and Quality (AHRQ) to examine the workflow impact of introducing new technology, My Health Team at Vanderbilt (MHTAV), into primary care clinics to improve care coordination for patients with hypertension and diabetes. The goal of the study was to assess the alignment between health information technology (IT) and clinical workflow during the implementation of MHTAV. Our primary research question was: what is the workflow impact of implementing health IT-enabled care coordination within six ambulatory primary care clinics? We approached this question using a human factors and sociotechnical framework. Our aim was to help to fill the evidence gap regarding how health IT adoption impacts workflow, and vice versa.

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References

  • Ash JS, Sittig DF, Dykstra R, et al. The unintended consequences of computerized provider order entry: findings from a mixed methods exploration. Int J Med Inform. 2009;78(Suppl 1):S69–76.

    Article  Google Scholar 

  • Blumenthal D. Implementation of the federal health information technology initiative. N Engl J Med. 2011;365(25):2426–31.

    Article  CAS  Google Scholar 

  • Carayon P. The balance theory and the work system model. Twenty years later. Int J Hum Comput Interac. 2009;25:313–27.

    Article  Google Scholar 

  • Carayon P, Schoofs Hundt A, Karsh BT, et al. Work system design for patient safety: THE SEIPS model. Qual Saf Health Care. 2006;15(Suppl 1):i50–8.

    Article  Google Scholar 

  • Carayon P, Karsh BT, Cartmill R. Incorporating health information technology into workflow redesign—summary report prepared by the Center for Quality and Productivity Improvement, University of Wisconsin-Madison, under contract no. HHSA 290-2008-10036C. Rockville: Quality AfHRa; 2010.

    Google Scholar 

  • Carayon P, Cartmill R, Hoonakker P, et al. Human factors analysis of workflow in health information technology implementation. In: Carayon P, editor. Handbook of human factors and ergonomics in patient safety. 2nd ed. Mahwah: Lawrence Erlbaum; 2012. p. 507–21.

    Google Scholar 

  • Checkland P, Scholes J. Soft systems methodology in action. New York: John Wiley and Sons; 1999.

    Google Scholar 

  • Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989;13(3):319–40.

    Article  Google Scholar 

  • Dorr D, Bonner LM, Cohen AN, et al. Informatics systems to promote improved care for chronic illness: a literature review. J Am Med Inform Assoc. 2007;14(2):156–63.

    Article  Google Scholar 

  • Hibbard JH, Stockard J, Mahoney ER, et al. Development of the Patient Activation Measure (PAM): conceptualizing and measuring activation in patients and consumers. Health Serv Res. 2004;39(4 Pt 1):1005–26. PMID: 15230939.

    Article  Google Scholar 

  • Holden RJ, Brown RL, Alper SJ, et al. That’s nice, but what does IT do? Evaluating the impact of bar coded medication administration by measuring changes in the process of care. Int J Ind Ergon. 2011;41(4):370–9. PMID: 21686318.

    Article  Google Scholar 

  • Holden RJ, Rivera-Rodriguez AJ, Faye H, et al. Automation and adaptation: nurses’ problem-solving behavior following the implementation of bar coded medication administration technology. Cogn Technol Work. 2013;15(3):283–96.

    Article  Google Scholar 

  • Karsh B, Holden R, Alper S, et al. A human factors engineering paradigm for patient safety: designing to support the performance of the healthcare professional. Qual Saf Health Care. 2006;15(Suppl 1):i59–65.

    Article  Google Scholar 

  • Novak LL. Improving health IT through understanding the cultural production of safety in clinical settings. In: Nohr C, Aarts J, editors. Information technology in health care: Sociotechnical approaches 2010—from safe systems to patient safety. Amsterdam: IOS Press; 2010.

    Google Scholar 

  • Novak LL, Anders SH, Gadd CS, et al. Mediation of adoption and use: a key strategy for mitigating unintended consequences of health IT implementation. J Am Med Inform Assoc. 2012;19(6):1043–9. https://doi.org/10.1136/amiajnl-2011-000575.

    Article  PubMed  PubMed Central  Google Scholar 

  • Saldaña J. The coding manual for qualitative researchers. Thousand Oaks: Sage Publications; 2009.

    Google Scholar 

  • Shepherd A. Hierarchical task analysis. London: Taylor and Francis; 2001.

    Book  Google Scholar 

  • Unertl KM, Novak LL, Johnson KB, et al. Traversing the many paths of workflow research: developing a conceptual framework of workflow terminology through a systematic literature review. J Am Med Inform Assoc. 2010;17(3):265–73. PMID: 20442143.

    Article  Google Scholar 

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Correspondence to Jonathan S. Wald .

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Wald, J.S., Novak, L. (2019). Health IT-Enabled Care Coordination and Redesign in Ambulatory Care. In: Zheng, K., Westbrook, J., Kannampallil, T., Patel, V. (eds) Cognitive Informatics. Health Informatics. Springer, Cham. https://doi.org/10.1007/978-3-030-16916-9_15

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  • DOI: https://doi.org/10.1007/978-3-030-16916-9_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-16915-2

  • Online ISBN: 978-3-030-16916-9

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