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Improving Health Care Management in Hospitals Through a Productivity Dashboard

  • Systems-Level Quality Improvement
  • Published:
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Abstract

Health information systems have been developed to help hospital managers steer daily operations, including key performance indicators (KPIs) for monitoring on a time-aggregated basis. Yet, current literature lacks in proposals of productivity dashboards to assist hospitals stakeholders. This research focuses on two related problems: (1) hospital organizations need access to productivity information to improve access to services; and (2) managers need productivity information to optimize resource allocation. This research consists in the development of dashboards to monitor information obtained from a hospital organization to support decision makers. To develop and evaluate the productivity dashboard, the Design Science Research (DSR) methodology was adopted. The dashboard was evaluated by stakeholders of a large Portuguese hospital who contributed to iteratively improving its design toward a useful decision support tool. Additionally, it was ascertained that monitoring productivity needs more study and that the dashboards on these themes are valuable assets at a monitoring level and subsequent decision-making process.

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References

  1. Rahimi, H., Kavosi, Z., Shojaei, P., and Kharazmi, E., Key performance indicators in hospital based on balanced scorecard model. J. Heal. Manag. Informatics 4(1):17–24, 2016.

    Google Scholar 

  2. McDermott, C., and Stock, G. N., Hospital operations and length of stay performance. Int. J. Oper. Prod. Manag. 27(9):1020–1042, 2007.

    Article  Google Scholar 

  3. Koumpouros, Y., Balanced scorecard: Application in the general Panarcadian Hospital of Tripolis, Greece. Int. J. Health Care Qual. Assur. 26(4):286–307, 2013.

    Article  Google Scholar 

  4. Poba-Nzaou, P., Uwizeyemungu, S., Raymond, L., and Paré, G., Motivations underlying the adoption of ERP systems in healthcare organizations: Insights from online stories. Inf. Syst. Front. 16(4):591–605, 2014.

    Article  Google Scholar 

  5. Sun, J., and Qu, Z., Understanding health information technology adoption: A synthesis of literature from an activity perspective. Inf. Syst. Front. 17(5):1177–1190, 2015.

    Article  Google Scholar 

  6. Moro, S., Cortez, P., and Rita, P., Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation. Expert Syst. Appl. 42(3):1314–1324, 2015.

    Article  Google Scholar 

  7. Ghazisaeidi, M., Safdari, R., Torabi, M., Mirzaee, M., Farzi, J., and Goodini, A., Development of performance dashboards in healthcare sector: Key practical issues. Acta Inform. Medica 23(5):317–321, 2015.

    Article  Google Scholar 

  8. T. Knabke and S. Olbrich, “The impact of in-memory technology on the agility of data warehouse-based business intelligence systems - a preliminary study among experts,” Proc. der 12. Int. Tagung Wirtschaftsinformatik (WI 2015), no. Paper 44, pp. 645–659, 2015.

  9. Forsman, J., Anani, N., Eghdam, A., Falkenhav, M., and Koch, S., Integrated information visualization to support decision making for use of antibiotics in intensive care: Design and usability evaluation. Informatics Heal. Soc. Care 38(4):330–353, 2013.

    Article  Google Scholar 

  10. Baskett, L., LeRouge, C., and Tremblay, M. C., Using the dashboard technology properly. Health Prog. 89(5):16–23, 2008.

    PubMed  Google Scholar 

  11. J. Ryan, B. Doster, S. Daily, and C. Lewis, “Key Performance Indicators across the Perioperative Process: Holistic Opportunities for Improvement via Business Process Management,” pp. 3479–3488, 2017.

  12. Eckerson, W. W., Performance dashboards: Measuring, monitoring, and managing your business. John Wiley & Sons, 2010.

  13. Pauwels, K. et al., Dashboards as a service: Why, what, how, and what research is needed? J. Serv. Res. 12(2):175–189, 2009.

    Article  Google Scholar 

  14. Berler, A., Pavlopoulos, S., and Koutsouris, D., Using key performance indicators as knowledge-management tools at a regional health-care authority level. IEEE Trans. Inf. Technol. Biomed. 9(2):184–192, 2005.

    Article  Google Scholar 

  15. M. Linna, “Benchmarking hospital productivity,” no. 7, pp. 1–5, 2006.

  16. Nguyen, B. V., Burstein, F., and Fisher, J., Improving service of online health information provision: A case of usage-driven design for health information portals. Inf. Syst. Front. 17(3):493–511, Jun. 2015.

    Article  Google Scholar 

  17. Black, N., Browne, J., and Cairns, J., Health care productivity. BMJ 333(7563):312–313, Aug. 2006.

    Article  Google Scholar 

  18. A. Sharpe, H. Messinger, and C. Bradley, “The measurement of output and productivity in the health care sector in Canada: An overview,” 2007.

  19. Henkel, M., Johannesson, P., and Perjons, E., Value and goal modelling in healthcare. Management:1–14, 2007.

  20. Ashrafi, N., Kelleher, L., and Kuilboer, J.-P., The impact of business intelligence on healthcare delivery in the USA. Interdiscip. J. Inf. 9(9):117–130, 2014.

    Google Scholar 

  21. Kawamura, T., Kimura, T., and Tsumoto, S., Estimation of service quality of a hospital information system using a service log. Rev. Socionetwork Strateg. 8(2):53–68, 2014.

    Article  Google Scholar 

  22. Mettler, T., and Vimarlund, V., Understanding business intelligence in the context of healthcare. Health Informatics J. 15(3):254–264, 2009.

    Article  Google Scholar 

  23. Stadler, J. G., Donlon, K., Siewert, J. D., Franken, T., and Lewis, N. E., Improving the efficiency and ease of healthcare analysis through use of data visualization dashboards. Big Data 4(2):129–135, 2016.

    Article  Google Scholar 

  24. S. Al-Hajj, I. Pike, and B. Fisher, “Interactive Dashboards: Using Visual Analytics for knowledge Transfer and Decision Support,” 2013 Work. Vis. Anal. Healthc., pp. 37–40, 2013.

  25. H. Providers and G. S. Nelson, “The Healthcare Performance Dashboard : Linking Strategy to Metrics Table of Contents SAS Global Forum 2010,” pp. 1–10, 2010.

  26. Park, K. W., Smaltz, D., McFadden, D., and Souba, W., The operating room dashboard. J. Surg. Res. 164(2):294–300, 2010.

    Article  Google Scholar 

  27. Prevedello, L. M., Andriole, K. P., Hanson, R., Kelly, P., and Khorasani, R., Business intelligence tools for radiology: Creating a prototype model using open-source tools. J. Digit. Imaging 23(2):133–141, 2010.

    Article  Google Scholar 

  28. E. R. Mahendrawathi, D. Pranantha, and J. D. Utomo, “Development of dashboard for hospital logistics management,” ICOS 2010–2010 IEEE Conf. Open Syst., no. Icos, pp. 86–90, 2010.

  29. Martin, N., Bergs, J., Eerdekens, D., Depaire, B., and Verelst, S., Developing an emergency department crowding dashboard: A design science approach. Int. Emerg Nurs 39:68–76, 2018.

    Article  Google Scholar 

  30. Ward, M. J., Marsolo, K. A., and Froehle, C. M., Applications of business analytics in healthcare. Bus. Horiz. 57(5):571–582, 2014.

    Article  Google Scholar 

  31. Gordon, J., and Richardson, E., Continuous improvement in the Management of Hospital Wards: The use of operational dashboards. Int. J. Manag. 30(4):414–417, 2013.

    Google Scholar 

  32. R. Shailam, A. Botwin, M. Stout, and M. S. Gee, “Real-time electronic dashboard technology and its use to improve pediatric radiology workflow,” Curr Probl. Diagnostic Radiol., 2017.

  33. S. Al-Hajj, I. Pike, B. E. Riecke, and B. Fisher, “Visual analytics for public health: Supporting knowledge construction and decision-making,” Proc. Annu. Hawaii Int. Conf. Syst. Sci., 2013.

  34. Franklin, A., Gantela, S., Shifarraw, S., Johnson, T. R., Robinson, D. J., King, B. R., Mehta, A. M., Maddow, C. L., Hoot, N. R., Nguyen, V., Rubio, A., Zhang, J., and Okafor, N. G., Dashboard visualizations: Supporting real-time throughput decision-making. J. Biomed. Inform. 71:211–221, 2017.

    Article  Google Scholar 

  35. Hill, H. M., Measuring productivity in bioanalysis. Bioanalysis 4(19):2317–2319, 2012.

    Article  CAS  Google Scholar 

  36. Zhang, X., Gallagher, K., and Goh, S., BI application: Dashboards for healthcare. 17th Am. Conf. Inf. Syst. 2011, AMCIS 2011 5:3898–3902, 2011.

    Google Scholar 

  37. Hain, P. D., Daru, J., Robbins, E., Bode, R., Brands, C., Garber, M., Gosdin, C., Marks, M., Percelay, J., Terferi, S., and Tobey, D., A proposed dashboard for pediatric hospital medicine groups. Hosp. Pediatr. 2(2):59–68, 2012.

    Article  Google Scholar 

  38. M. Barrento, “Admissão da Business Intelligence às Urgências Hospitalares Business Intelligence admission to Hospital emergency,” 2013.

  39. W. Presthus and I. Bergum, “Business Intelligence to the People. A Case Study of Dashboard Adoption in the Health Care sector,” Nor. Konf. Organ. bruk av IT, vol. 23, no. 1, 2015.

  40. Daley, K., Richardson, J., James, I., Chambers, A., and Corbett, D., Clinical dashboard: Use in older adult mental health wards. Psychiatrist 37(3):85–88, 2013.

    Article  Google Scholar 

  41. Donaldson, N., Brown, D. S., Aydin, C. E., Bolton, M. L. B., and Rutledge, D. N., Leveraging nurse-related dashboard benchmarks to expedite performance improvement and document excellence. J. Nurs. Adm. 35(4):163–172, 2005.

    Article  Google Scholar 

  42. Miniati, R., Frosini, F., Cecconi, G., Dori, F., Iadanza, E., Biffi Gentili, G., Belardinelli A, “Development of Web-Based Operating Theatre Dashboard for Activity Monitoring and Planning in Hospitals,” Proc. IEEE-EMBS Int. Conf. Biomed. Heal. Informatics (BHI 2014), vol. 50139, p. IN PRESS, 2014.

  43. McLeod, B., Zaver, F., Avery, C., Martin, D. P., Wang, D., Jessen, K., and Lang, E. S., Matching capacity to demand: A regional dashboard reduces ambulance avoidance and improves accessibility of receiving hospitals. Acad. Emerg. Med. 17(12):1383–1389, 2010.

    Article  Google Scholar 

  44. J. P. McGlothlin, S. Vedire, E. Crawford, J. Pappas, B. Bruneau, and L. Obregon, “Improving patient care through analytics,” 2016 4th Int. Symp. Comput. Bus. Intell., pp. 94–100, 2016.

  45. Ryan, J., Doster, B., Daily, S., and Lewis, C., A balanced perspective to perioperative process management aligned to hospital strategy. Int. J Heal. Inf Syst. Informatics 9(4):1–19, 2014.

    Article  Google Scholar 

  46. S. Al-Hajj, I. Pike, and B. Fisher, “Visual analytics to support medical decision-making process,” XXIV Conf. Eur. Fed. Med. Inf. Qual. life through Qual. Information., pp. 1–3, 2012.

  47. L. A. Mallak, “DPM and DFID: Interactive tools for evidence-based decision making,” PICMET Portl. Int. Cent. Manag. Eng. Technol. Proc., pp. 642–649, 2009.

  48. Arinze, B., A model for delivering smart healthcare using patient-facing dashboards, clinical DSS and electronic health records. Can. Conf. Electr. Comput. Eng.:1–4, 2014.

  49. Mattingly, W. A. et al., Real-time enrollment dashboard for multisite clinical trials. Contemp. Clin. Trials Commun. 1:17–21, 2015.

    Article  Google Scholar 

  50. Egan, M., Clinical dashboards. Crit. Care Nurs. Q. 29(4):354–361, 2006.

    Article  Google Scholar 

  51. Jha, A., and Epstein, A., Hospital governance and the quality of care. Health Aff. 29(1):182–187, 2010.

    Article  Google Scholar 

  52. Perron, C. E., Bachur, R. G., and Stack, A. M., Development, implementation, and use of an emergency physician performance dashboard. Clin. Pediatr. Emerg. Med. 18(2):115–123, 2017.

    Article  Google Scholar 

  53. Dixon, B. E., Jabour, A. M., Phillips, E. O. K., and Marrero, D. G., An informatics approach to medication adherence assessment and improvement using clinical, billing, and patient-entered data. J. Am. Med. Informatics Assoc. 21(3):517–521, 2014.

    Article  Google Scholar 

  54. A. Koronios and J. Gao, “Data Quality for Emergency Department BI Dashboard,” Adv. Intell. Syst. Res., no. 2001, pp. 301–309, 2010.

  55. P. Silva et al., “Hospital database workload and fault forecasting,” 2012 IEEE-EMBS Conf. Biomed. Eng. Sci. IECBES 2012, no. December, pp. 63–68, 2012.

  56. R. Alharbey, “Predictive Analytics Dashboard for Monitoring Patients in Advanced Stages of COPD,” 2016 49th Hawaii Int. Conf. Syst. Sci., pp. 3455–3461, 2016.

  57. M. Y. Santos, “A data-driven analytics approach in the study of pneumonia ’ s fatalities,” 2015.

  58. J. Ryan, B. Doster, S. Daily, and C. Lewis, “Key performance indicators across the perioperative process: Holistic opportunities for improvement via business process management,” in Proceedings of the 50th Hawaii international conference on system sciences, 2017.

  59. M. Barrento, “European Benchmarking in Healthcare Analysis by Country with highlight on Portugal,” pp. 1–4, 2017.

  60. V. Georgiana, D. Kartawiguna, and Indrajani, “Evaluation of radiology data warehouse implementation on education, research, and quality assurance,” Proc. 2016 Int. Conf. Inf. Manag. Technol. ICIMTech 2016, no. November, pp. 277–280, 2017.

  61. Hevner, A. R., March, S. T., Park, J., and Ram, S., Design science in information systems research. MIS Q. 28(1):75–105, 2004.

    Article  Google Scholar 

  62. S. Few, “Information dashboard design,” 2006.

    Google Scholar 

  63. C. N. Knaflic, Storytelling with data: A data visualization guide for business professionals. John Wiley & Sons, 2015.

  64. Nogueira, Paulo; Martins, José; Rita, Francisco; Fatela L., “Dashboards da saúde: passado, presente e futuro. Uma Perspetiva Da Evolução Em Portugal.,” pp. 1–9, 2017.

  65. Karami, M., Langarizadeh, M., and Fatehi, M., Evaluation of effective dashboards: Key concepts and criteria. Open Med Inform J 11(1):52–57, 2017.

    Article  Google Scholar 

  66. C. A. Wexler, Steve, Shaffer Jeffrey, The big book of dashboards: visualizing your data using real-world business scenarios. Wiley, 2017.

  67. Voelker, K. E., Rakich, J. S., and French, G. R., The balanced scorecard in healthcare organizations: A performance measurement and strategic planning methodology. Hosp. Top. 79(3):13–24, 2001.

    Article  CAS  Google Scholar 

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  1. DCTI, ISCTE-Instituto Universitário de Lisboa, Line 1: Av. das Forças Armadas, 1649-026, Lisbon, Portugal

    Miguel Pestana, Ruben Pereira & Sérgio Moro

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  1. Miguel Pestana
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  2. Ruben Pereira
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Correspondence to Ruben Pereira.

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Pestana, M., Pereira, R. & Moro, S. Improving Health Care Management in Hospitals Through a Productivity Dashboard. J Med Syst 44, 87 (2020). https://doi.org/10.1007/s10916-020-01546-1

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