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Efficiency Analysis of an Interoperable Healthcare Operations Platform

  • Mobile & Wireless Health
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Abstract

(1) Develop an enterprise platform to unify isolated information, software applications and team members. (2) Assess the efficiency of one benefit of the platform through comparative testing of employee document retrieval times. (3) Evaluate the level of satisfaction among our target audience. We developed an infrastructure to integrate information throughout our practice and make it available on a unified, secure, and remotely accessible platform. We solicited our practice for volunteers to test the new system. All interested volunteers participated. Thirteen employees searched for the same four items in both the new system and our legacy systems. Testing was performed in the pre-deployment stage. In our evaluation, we introduced an innovative method to precisely and objectively obtain data through the use of a widely available tool which could be leveraged for a variety of other studies. On average, it took our participants 7 min and 48 s to find four assigned items in our legacy systems. It only took our volunteers 1 min and 1 s to find the same items with the new platform (p-value 0.002). On a scale of 10 being the highest level of satisfaction, participants ranked the new system to be 8.7 while the traditional system was ranked at 6.3. An overarching enterprise platform is critical due to the ability to unify otherwise isolated applications, people and documents. Because navigating a new system would be expected to take longer than a familiar one, we were surprised by the dramatically improved efficiency and satisfaction of our new interoperable platform compared to the status quo. Since this platform was evaluated in the pre-deployment stage, we expect results to improve with employee experience as well as ongoing enhancements.

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References

  1. PricewaterhouseCoopers. Healthcare delivery of the future: How digital technology can bridge time and distance between clinicians and consumers 2015 [internet] https://www.pwc.com/us/en/health-industries/top-health-industry-issues/assets/pwc-healthcare-delivery-of-the-future.pdf. (Accessed June 2016).

  2. Cooper, J.D., Organization, management, implementation and value of EHR implementation in a solo pediatric practice. Journal of Healthcare Information Management JHIM. 3:51–55, 2003.

    Google Scholar 

  3. Hersh, W.R., Adding value to the electronic health record through secondary use of data for quality assurance, research, and surveillance. Am J Manag Care. 81:277–278, 2007.

    Google Scholar 

  4. Miller, R.H., and West, C.E., The value of electronic health records in community health centers: policy implications. Health Affairs. 26:206–214, 2007.

    Article  PubMed  Google Scholar 

  5. Poissant, L., Pereira, J., Tamblyn, R., et al., The impact of electronic health records on time efficiency of physicians and nurses: a systematic review. J Am Med Inform Assoc. 12:505–516, 2005.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Raghupathi, W., and Raghupathi, V., Big data analytics in healthcare: promise and potential. Health Information Science and Systems. 2:1, 2014.

    Article  Google Scholar 

  7. Aylin, P., Bottle, A., and Majeed, A., Use of administrative data or clinical databases as predictors of risk of death in hospital: comparison of models. Bmj. 334:1044, 2007.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Wennberg, J.E., Roos, N., Sola, L., et al., Use of claims data systems to evaluate health care outcomes: mortality and reoperation following prostatectomy. Jama. 257:933–936, 1987.

    Article  CAS  PubMed  Google Scholar 

  9. Brandeau ML, Sainfort F, Pierskalla WP, eds. Operations research and health care: a handbook of methods and applications. Springer Science & Business Media. 2004:85-814.

  10. Wang, W., and Krishnan, E., Big data and clinicians: a review on the state of the science. JMIR Medical Informatics. 2(1):e1, 2014.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Jarke, M., Lenzerini, M., Vassiliou, Y., et al., Fundamentals of data warehouses. Springer. 2-186, 2013.

  12. Murdoch, T.B., and Detsky, A.S., The inevitable application of big data to health care. Jama. 309:1351–1352, 2013.

    Article  CAS  PubMed  Google Scholar 

  13. Gandomi, A., and Haider, M., Beyond the hype: big data concepts, methods, and analytics. International Journal of Information Management. 35:137–144, 2015.

    Article  Google Scholar 

  14. Sumathy, K.L., and Chidambaram, M., Text mining: concepts, applications, tools and issues-an overview. International Journal of Computer Applications. 80:29–30, 2013.

    Article  Google Scholar 

  15. Blumberg, R., and Atre, S., The problem with unstructured data. DM Review. 13:42–46, 2003.

    Google Scholar 

  16. Gibson, R., Four strategies for remote workforce training, development, and certification. In: Hao-Jew, S. (Ed.), Remote workforce training: effective technologies and strategies, IGI Global. Vol. 28, pp. 1–15, 2014.

    Chapter  Google Scholar 

  17. Fumy W, Sauerbrey J, eds. Enterprise security: IT security solutions--concepts, practical experiences, technologies. Publicis Publishing. 2013:45-253.

  18. Panetto, H., and Cecil, J., Information systems for enterprise integration, interoperability and networking: theory and applications. Enterprise Information Systems. 7:1–6, 2013.

    Article  Google Scholar 

  19. Mertins, K., Bénaben, F., Poler, R., et al., eds. Enterprise interoperability VI: interoperability for agility, resilience and plasticity of collaborations. Springer:27–513, 2014.

  20. Barber, C.G., Haque, N., and Gardner, B., ‘OnePoint’–combining OneNote and SharePoint to facilitate knowledge transfer. Drug discovery today. 14:845–850, 2009.

    Article  PubMed  Google Scholar 

  21. White, M., Enterprise search: enhancing business performance. O'Reilly Media, Inc. 2-279, 2015.

  22. Johnson, B., Comply with regulations or risk paying hefty fines: ten tips for choosing call recording to help ensure compliance. The Journal of medical practice management: MPM. 29:290–293, 2014.

    PubMed  Google Scholar 

  23. Bontis, N., Richards, D., and Serenko, A., Improving service delivery: investigating the role of information sharing, job characteristics, and employee satisfaction. The learning organization. 18:239–250, 2011.

    Article  Google Scholar 

  24. White, M., Critical success factors for enterprise search. Business Information Review. 32:110–118, 2015.

    Article  Google Scholar 

  25. Alirezaei R, Schwartz B, Ranlett M, et al. Professional SharePoint 2013 Development eBook and SharePoint-videos. Com bundle. John Wiley & Sons. 2014:4–780.

  26. Wallach, D., and Scholz, S.C., User-centered design: why and how to put users first in software development. In: Maedche, A., Botzenhardt, A., and Neer, L. (Eds.), Software for people. Springer, pp. 11–38, 2012.

  27. Gould, J.D., and Lewis, C., Designing for usability: key principles and what designers think. Communications of the ACM. 28:300–311, 1985.

    Article  Google Scholar 

  28. Johnson, J., Designing with the mind in mind: simple guide to understanding user interface design guidelines. Elsevier. 1-229, 2013.

  29. Fruhling, A.L., Raman, S., and McGrath, S., Mobile healthcare user Interface design application strategies. In: Eren, H., and Webster, J.G. (Eds.), Telehealth and Mobile Health. Vol. 18, pp. 363–380, 2015.

    Chapter  Google Scholar 

  30. Goodyear S. Implementing Enterprise Search. In: Practical SharePoint 2013 Enterprise Content Management. Apress. 2013:169–184.

  31. Wright S. Accessing SharePoint Search. In: Pro SharePoint 2013 App Development. Apress 2013:313–330.

  32. Page L, Brin S, Motwani R, et al. The PageRank citation ranking: bringing order to the web. Stanford InfoLab. 1999. Last modified Dec 2008. [Internet] http://ilpubs.stanford.edu:8090/422/ (Accessed June 2016).

  33. Microsoft. Technical diagrams for SharePoint 2013. [internet] https://technet.microsoft.com/en-us/library/cc263199.aspx (Accessed January 2017).

  34. Tordgeman, J., Learning search-driven application development with SharePoint 2013. Packt Publishing Ltd, 2013.

  35. Hsueh HY, Chen CN, Huang KF. Generating metadata from web documents: a systematic approach. Human-Centric Computing and Information Sciences. 2013;3:1. [Internet] http://hcis-journal.springeropen.com/articles/10.1186/2192-1962-3-7 (Accessed June 2016).

  36. Garrett R. SharePoint Search. In: Pro SharePoint 2013 Administration. Apress. 2013:551–602.

  37. Stocker, A., Richter, A., Kaiser, C., et al., Exploring barriers of enterprise search implementation: a qualitative user study. Aslib Journal of Information Management. 67:470–491, 2015.

    Article  Google Scholar 

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Acknowledgements

We would like to thank Johnny Harbieh, Rosie Hansen, Juleen Kluver, Jeremy Snyder, Kelly Wunderlich, Luanne Kuna, Jodi Kukla, Hans Petterson, Antje Lewald, Deke Weinblatt, Michelle Torkelson, Melinda Sewell, and Karen Scott for their participation in the development of our enterprise platform.

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Correspondence to Thomas F Osborne.

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This study did not receive any grants or funding from agencies in the public, commercial, or not-for-profit sectors.

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All authors declare that there are no conflict of interest associated with this publication.

Ethical approval

Our survey was a quality assessment of a new product to determine time savings. There were no requirements to participate in the survey and no incentives were offered. This was a no risk to the volunteer survey. We did not consider our work to be “human subjects research.”

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This article is part of the Topical Collection on Mobile & Wireless Health

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Osborne, T.F., Clark, R.H., Blackowiak, J. et al. Efficiency Analysis of an Interoperable Healthcare Operations Platform. J Med Syst 41, 52 (2017). https://doi.org/10.1007/s10916-017-0706-7

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