Hospital digital transformation: Implementation of a dashboard for advanced management in an Intensive Care Unit (ICU)
DOI:
https://doi.org/10.33448/rsd-v14i2.48321Keywords:
ICU; ICTs; EHR; Intensive Care Unit; Information and Communication Technologies; Electronic Health Records; Dashboard.Abstract
Faced with the challenging scenario of Intensive Care Units (ICUs), where seriously ill patients require highly specific care, the importance of Information and Communication Technologies (ICTs) for improving processes and effective data management stands out. In this context, the problems lie in the potential difficulties in managing Electronic Health Records (EHRs), indicators, protocols, communication and resources. This reality highlights the relevance of this research in the international context, highlighting Brazil's delay in innovations in the area of health. Furthermore, there is a need for alignment with the United Nations (UN) Sustainable Development Goals (SDGs) and the importance of harmonizing the theme with organizational strategic planning, updating efficiency, safety, quality and results in critical environments. of health. The main objective of this research was to develop a control panel that would integrate indicators for advanced management in the ICU of a private hospital in Rio Grande do Norte, accredited by the National Accreditation Organization (ONA). This research will adopt a quantitative and qualitative approach, characterized as applied, with descriptive and explanatory objectives. Methods include action research. The result made it possible to analyze the data from the neonatal, adult and pediatric ICUs for 24 months (2023 and 2024) on the dashboard, and to draw up a replicability plan. This progress represented a substantial milestone in the hospital's digital transformation, with the aim of improving the effectiveness and quality of healthcare, as well as enabling implementation in other hospitals.
References
Alberti, C. & Durand-Zaleski, I. (2007). ICUs: from performance appraisal to executive dashboard?. Intensive Care Medicine. 33(8), 1313-5. Springer Science and Business Media LLC. http://dx.doi.org/10.1007/s00134-007-0697-9.
Baker, C. & Meley, V. (1996). An investigation into the attitudes and practices of intensive care nurses towards verbal communication with unconscious patients. Journal Of Clinical Nursing. 5(3), 185-92. Wiley. http://dx.doi.org/10.1111/j.1365-2702.1996.tb00248.x.
Barros, M. M. O. Et al. (2020). Utilização do prontuário eletrônico do paciente pela equipe de enfermagem. Revista Enfermagem UFPE Online. 14, e241496. DOI: https://doi.org/10.5205/1981-8963.2020.241496. Berenholtz, S. et al. (2002). Qualitative review of intensive care unit quality indicators. Journal Of Critical Care. 17 (1), 1-12. Elsevier BV. http://dx.doi.org/10.1053/jcrc.2002.33035.
Bonadonna, L., Briancesco, R. & Coccia, A.M. (2017). Analysis of Microorganisms in Hospital Environments and Potential Risks. Springerbriefs In Public Health, 53-62. Springer International Publishing. http://dx.doi.org/10.1007/978-3-319-49160-8_5.
Brasil. (2025). Monitoramento da Qualidade Hospitalar. Agência Nacional de Saúde Suplementar (ANS). https://www.gov.br/ans/pt-br/assuntos/prestadores/qualiss-programa-de-qualificacao-dos-prestadores-de-servicos-de-saude-1/monitoramento-da-qualidade-hospitalar.
Caban, J.J. & Gotz, D. (2015). Visual analytics in healthcare – opportunities and research challenges. Journal of The American Medical Informatics Association. 22 (2), 260-2. Oxford University Press (OUP). http://dx.doi.org/10.1093/jamia/ocv006.
Chen, L. et al. (1998). Patients readmitted to the intensive care unit during the same hospitalization. Critical Care Medicine. 26(11), 1834-41. Ovid Technologies (Wolters Kluwer Health). http://dx.doi.org/10.1097/00003246-199811000-00025.
Cherifa, M. & Pirracchio, R. (2019). What every intensivist should know about Big Data and targeted machine learning in the intensive care unit. Revista Brasileira de Terapia Intensiva. DOI: 10.5935/0103-507x.20190069. http://dx.doi.org/10.5935/0103-507X.20190069.
Collier, C (2023). Teaching Case: learning skills of the data analytics lifecycle with microsoft power bi and national parks data. Communications Of The Association For Information Systems. 52, 238-48. Association for Information Systems. http://dx.doi.org/10.17705/1cais.05210.
Collin, G. et al. (1999). Decreasing The Duration Of Mechanical Ventilation Through The Use Of A Ventilator Management Protocol. Critical Care Medicine. 27, 110-20. Ovid Technologies (Wolters Kluwer Health). http://dx.doi.org/10.1097/00003246-199912001-00296.
Cooper, G. et al. (1999). Are Readmissions to the Intensive Care Unit a Useful Measure of Hospital Performance?. Medical Care. 37(4), 399-408. Ovid Technologies (Wolters Kluwer Health). http://dx.doi.org/10.1097/00005650-199904000-00009.
Cooper, S. & Zaske, D. (1987). Relationship between intensity of hospital services and pharmacy workload. American Journal Of Health-System Pharmacy. 44(10), 2267-71. Oxford University Press (OUP). http://dx.doi.org/10.1093/ajhp/44.10.2267.
Escobar, G. J. et al. (2016). Piloting electronic medical record-based early detection of inpatient deterioration in community hospitals. Journal of Hospital Medicine. 11(Suppl 1), S18-S24. DOI: 10.1002/jhm.2652.
Field, D. J. et al. (1988). Is perinatal mortality still a good indicator of perinatal care? Paediatric And Perinatal Epidemiology. 2(3), 213-9. Wiley. http://dx.doi.org/10.1111/j.1365-3016.1988.tb00209.x.
Fox, A. J., Owen-Smith, O. & Spiers, P. (1999). The immediate impact of opening an adult high dependency unit on intensive care unit occupancy. Anaesthesia. 5 (3), 280-3. Wiley. http://dx.doi.org/10.1046/j.1365-2044.1999.00715.x.
Freeman, J. et al. (1990). Association of Intravenous Lipid Emulsion and Coagulase-Negative Staphylococcal Bacteremia in Neonatal Intensive Care Units. New England Journal Of Medicine. 323(5), 301-8. Massachusetts Medical Society. http://dx.doi.org/10.1056/nejm199008023230504.
Gielen, A. et al. (2021). Evaluation of the Initial General Ward Early Warning Score and ICU Admission, Hospital Length of Stay and Mortality. West J Emerg Med. 22(5): 1131-8. doi: 10.5811/westjem.2021.6.50657. PMID: 34550873; PMCID: PMC8463061.
Giusti, A. C. C. et al. (2006). Gestão hospitalar: administrando o hospital moderno. Editora Saraiva. Gross, P. (1991). Striving for benchmark infection rates: progress in control for patient mix. The American Journal Of Medicine. 91 (3), 16-20. Elsevier BV. http://dx.doi.org/10.1016/0002-9343(91)90338-x.
Halpern, N., Bettes, L. & Greenstein, R. (1994). Federal and nationwide intensive care units and healthcare costs: 1986-1992. Critical Care Medicine. 22(12), 2001-7. Ovid Technologies (Wolters Kluwer Health). http://dx.doi.org/10.1097/00003246-199412000-00019.
Heaney, L. M. (1977). Cardiac and respiratory monitoring of acute stroke patients. Heart & Lung: the Journal of Critical Care. 6 (3), 469-74. Keers, R. N. et al. (2013). Causes of medication administration errors in hospitals: a systematic review of quantitative and qualitative evidence. Drug Safety. 36(11), 1045–67.
Lave, J. et al. (1996). Hospitalized pneumonia. Journal Of General Internal Medicine. 11(7), 415-21. Springer Science and Business Media LLC. http://dx.doi.org/10.1007/bf02600189.
Lira Neto, R. E. (2024). Acreditação em saúde: Revisão sistemática para avaliação da acreditação Association for the Accreditation of Human Research Protection Programs (AAHRPP) em centros de pesquisa clínica (Dissertação de mestrado). Universidade Federal do Rio Grande do Norte. https://repositorio.ufrn.br/handle/123456789/62459.
Mallick, R. et al. (1995). The Intensive Care Unit Medical Director as Manager Impact on Performance. Medical Care. 33(6), 611-624. Ovid Technologies (Wolters Kluwer Health). http://dx.doi.org/10.1097/00005650-199506000-00004.
Martins, L., Sartor, G. D. & Silva, M. P. (2019). Prontuário Eletrônico do Paciente: Adoção de novas tecnologias de acesso. Journal of Health Informatics. 11(3). https://jhi.sbis.org.br/index.php/jhi-sbis/article/view/608.
Niquille, M. et al. (1991). Utilization of hospital resources by alcoholic and nonalcoholic patients. Journal Of General Internal Medicine. 6(3), 216-22. Springer Science and Business Media LLC. http://dx.doi.org/10.1007/bf02598963.
Niven, G. & Harding, J. (1995). Another outcome of neonatal intensive care: first year mortality and hospital morbidity. Journal Of Paediatrics And Child Health. 31 (2), 137-42. Wiley. http://dx.doi.org/10.1111/j.1440-1754.1995.tb00763.x. OMS. (2009). Conceptual Framework for the International Classification of Patient Safety- Final Technical Report, 2009.
Oliveira, L. P. De .; Hékis, H. R. .; Almeida , M. R. De .; Lira Neto, R. E. .; Araújo, R. P. De .; & Montenegro, A. C. L. . (2025). The use of quality tools in the development of the singular psychomotor therapeutic project for children with autism: A systematic review. Research, Society and Development, [S. l.], 14(1), e5714148057, 2025. DOI: 10.33448/rsd-v14i1.48057. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/48057.
Organização Mundial da Saúde (OMS). Pereira A. S. et al. (2018). Metodologia da pesquisa científica. [free e-book]. Santa Maria/RS. Ed. UAB/NTE/UFSM. Randell, R. et al. (2020). How, in what contexts, and why do quality dashboards lead to improvements in care quality in acute hospitals? Protocol for a realist feasibility evaluation. BMJ Open. DOI: 10.1136/bmjopen-2019-033208. http://dx.doi.org/10.1136/bmjopen-2019-033208.
Russell, S. (1999). An exploratory study of patients' perceptions, memories and experiences of an intensive care unit. Journal Of Advanced Nursing. 29(4), 783-91. Wiley. http://dx.doi.org/10.1046/j.1365-2648.1999.00953.x.
Sanchez-Pinto, L. N., Luo, Y. & Churpek, M. (2018). Big Data and Data Science in Critical Care. Chest. 154(5), 1239-48. Elsevier BV. http://dx.doi.org/10.1016/j.chest.2018.04.037.
Sarah, J. & Fakhouri, J. (1978). The burn unit: patient and hospital characteristics of specialized and nonspecialized burn facilities. PAS reporter. 16(14): 1-3.
Shitsuka, R. et al. (2014). Matemática fundamental para tecnologia. 2ed. Editora Erica. Smith, W. H. et al. (2020). Estimating cost implications of potentially avoidable hospitalizations among Oncology Care Model patients with prostate cancer. J Cancer Policy. 23, 100218. https://doi.org/10.1016/j.jcpo.2020.100218.
Soh, K.L. et al. (2011). Action research studies in the intensive care setting: a systematic review. International Journal Of Nursing Studies. 48(2), 258-68. Elsevier BV. http://dx.doi.org/10.1016/j.ijnurstu.2010.09.014.
Souza, M. et al. (2024). Combining Regular Expressions and Machine Learning for SQL Injection Detection in Urban Computing. Journal Of Internet Services And Applications. 15(1), 103-11. Sociedade Brasileira de Computacao - SB. http://dx.doi.org/10.5753/jisa.2024.3799.
Sticht-Groh, V. (1981). Phagovar determination of Pseudomonas aeruginosa and a comparision of the results with mitomycin C induced pyocin production. Zentralblatt Für Bakteriologie, Mikrobiologie Und Hygiene. 1. Abt. Originale. A, Medizinische Mikrobiologie, Infektionskrankheiten Und Parasitologie. 249(2), 225-34. Elsevier BV. http://dx.doi.org/10.1016/s0174-3031(81)80078-9.
Stringer, E. T. (1996). Action Research: a Handbook for Practitioners. Thousand Oaks: Sage. Thiollent, M. (1997). Pesquisa-Ação nas Organizações. Editora Atlas.
Thompson, H. & Spiers, P. (1998). Occupancy of a teaching hospital adult intensive care unit by high dependency patients. Anaesthesia. 53(6), 589-92. Wiley. http://dx.doi.org/10.1046/j.1365-2044.1998.00404.x.
Toledo, F. et al. (2001). Atención farmacéutica en personas que han sufrido episodios coronarios agudos (estudio TOMCOR). Revista Española de Salud Pública. 75 (4), 375-88. FapUNIFESP (SciELO). http://dx.doi.org/10.1590/s1135-57272001000400011.
Vogt, J. et al. (1981). Impact of a regional infant dispatch center on neonatal mortality. American Journal Of Public Health. 71 (6), 577-82. American Public Health Association. http://dx.doi.org/10.2105/ajph.71.6.577.
Wang, H. et al. (2015). Quality improvements in decreasing medication administration errors made by nursing staff in an academic medical center hospital: a trend analysis during the journey to Joint Commission International accreditation and in the post-accreditation era. Ther Clin Risk Manag. 11, 393-406. https://doi.org/10.2147/TCRM.S79238.
Yonkman, C. & Hamory, B. (1984). Comparison of three methods of maintaining a sterile injectate system during cardiac output determinations. American Journal Of Infection Control. 12(5), 276-81. Elsevier BV. http://dx.doi.org/10.1016/0196-6553(84)90046-4.
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