Health Data Analytics: A Proposal to Measure Hospitals Information Systems Maturity
Abstract
In the last five decades, maturity models have been introduced as reference frameworks for Information System (IS) management in organizations within different industries. In the healthcare domain, maturity models have also been used to address a wide variety of challenges and the high demand for hospital IS (HIS) implementations. The increasing volume of data, is exceeded the ability of health organizations to process it for improving clinical and financial efficiencies and quality of care. It is believed that careful and attentive use of Data Analytics (DA) in healthcare can transform data into knowledge that can improve patient outcomes and operational efficiency. A maturity model in this conjuncture, is a way of identifying strengths and weaknesses of the HIS maturity and thus, find a way for improvement and evolution. This paper presents a proposal to measure Hospitals Information Systems maturity with regard to DA. The outcome of this paper is a maturity model, which includes six stages of HIS growth and maturity progression.
Keywords
Data Analysis Analytics Maturity models Hospital Information SystemsReferences
- 1.Roesems-Kerremans, G.: Big data in healthcare. J. Healthc. Commun. 1(4:33), 1–3 (2016)Google Scholar
- 2.Mathews, R.: Healthcare Analytics Maturity Model (2015). https://www.linkedin.com/pulse/healthcare-analytics-maturity-model-roy-mathews. Accessed Jan 2016
- 3.Sanders, D., Burton, D.A., Protti, D.: The Healthcare Analytics Adoption Model: A Framework and Roadmap (white paper) (2013). https://www.healthcatalyst.com/white-paper/healthcare-analytics-adoption-model/. Accessed Oct 2015
- 4.Paulk, M., et al.: Capability Maturity Model for Software Version 1.1. Software Engineering Institute, Carnegie Mellon University, CMU/SEI-93-TR-024 (1993)Google Scholar
- 5.Fraser, P., Moultrie, J., Gregory, M.: The use of maturity models/grids as a tool in assessing product development capability. In: Proceedings of the IEEE International Engineering Management Conference, Cambridge, UK, 18–20 August, pp. 244–249. IEEE Engineering Management Society, Piscataway (2002)Google Scholar
- 6.Nolan, R.: Managing de computer resource: a stage hypotesis. Commun. ACM 16(7), 399–405 (1973)CrossRefGoogle Scholar
- 7.Gibson, C., Nolan, R.: Managing the four stages of EDP growth. Harvard Bus. Rev. 52, 76–88 (1974)Google Scholar
- 8.Mettler, T.: A Design Science Research Perspective on Maturity Models in Information Systems. University of St. Gallen, St. Gallen (2009)Google Scholar
- 9.Rocha, Á.: Evolution of information systems and technologies maturity in healthcare. Int. J. Healthc. Inf. Syst. Inform. 6(2), 28–36 (2011)MathSciNetCrossRefGoogle Scholar
- 10.Becker, J., Knackstedt, R., Pöppelbuß, J.: Developing maturity models for IT management – a procedure model and its application. Bus. Inf. Syst. Eng. 1(3), 213–222 (2009)CrossRefGoogle Scholar
- 11.Mettler, T., Rohner, P.: Situational maturity models as instrumental artifacts for organizational design. In: DESRIST 2009, Malvern, PA, USA (2009)Google Scholar
- 12.Caralli, R., Knight, M.: Maturity Models 101: A Primer for Applying Maturity Models to Smart Grid Security, Resilience, and Interoperability. Software Engineering Institute, Carnegie Mellon University (2012)Google Scholar
- 13.van de Wetering, R., Batenburg, R., Lederman, R.: Evolutionistic or revolutionary paths? A PACS maturity model for strategic situational planning. Int. J. Comput. Assist. Radiol. Surg. 5(4), 401–409 (2010)CrossRefGoogle Scholar
- 14.van de Wetering, R., et al.: A situational alignment framework for PACS. J. Digit. Imaging 24(6), 979–992 (2011)CrossRefGoogle Scholar
- 15.Carvalho, J.V., Rocha, Á., Abreu, A.: Maturity models of healthcare information systems and technologies: a literature review. J. Med. Syst. 40(6), 1–10 (2016)CrossRefGoogle Scholar
- 16.ISO9241–11: ISO 9241-11: Guidance on Usability (1998). http://www.usabilitynet.org/tools/r_international.htm#9241-11. Accessed Oct 2015
- 17.HIMSS: The EMR Adoption Model. HIMSS Analytics: Innovative Research/Informed Decisions (2008)Google Scholar
- 18.Holland, M., Dunbrack, L., Piai, S.: Healthcare IT Maturity Model: Western European Hospitals - The Leading Countries. European IT Opportunity: Healthcare Healthcare Provider IT Strategies Health Industry Insights, an IDC Company (2008)Google Scholar
- 19.Sharma, B.: Electronic Healthcare Maturity Model (eHMM): A White Paper. Quintegra Solutions Limited (2008)Google Scholar
- 20.Priestman, W.: ICT Strategy 2007–2011 for The Royal Liverpool and Broadgreen University Hospitals NHS Trust. Trust Board Meeting 6th November 2007. Document Number: V1.4 (2007)Google Scholar
- 21.Pinto-Valverde, J.M., et al.: HDQM2: healthcare data quality maturity model. In: Transactions of the International Conference on Health Information Technology Advancement. Western Michigan University (2013)Google Scholar
- 22.Brooks, P., El-Gayar, O., Sarnikar, S.: Towards a business intelligence maturity model for healthcare. In: 46th Hawaii International Conference on System Sciences (HICSS). IEEE (2013)Google Scholar
- 23.Carvalho, J.V., Rocha, Á., Abreu, A.: HISMM - hospital information system maturity model: a synthesis. In: International Conference on Software Process Improvement, vol. 537, pp. 189–200 (2016)Google Scholar
- 24.Carvalho, J.V., et al.: A Maturity model for hospital information systems. J. Bus. Res. 1–12 (2017)Google Scholar
- 25.Hevner, A.R., et al.: Design science in information systems research. MIS Q. 28(1), 75–105 (2004)CrossRefGoogle Scholar
- 26.Mettler, T.: Thinking in terms of design decisions when developing maturity models. Int. J. Strateg. Decis. Sci. (IJSDS) 1(4), 76–87 (2010)CrossRefGoogle Scholar
- 27.March, S.T., Smith, G.F.: Design and natural science research on information technology. Decis. Support Syst. 15(4), 251–266 (1995)CrossRefGoogle Scholar
- 28.Carvalho, J.V., Rocha, Á., Abreu, A.: Maturity of hospital information systems: most important influencing factors. Health Inf. J. (2017). https://doi.org/10.1177/1460458217720054
- 29.King, J., Kraemer, K.: Evolution and organizational information systems: an assessment of Nolan’s stage model. Commun. ACM 27(5), 466–475 (1984)CrossRefGoogle Scholar