Abstract
In a critical area as is Intensive Medicine, the existence of systems to support the clinical decision is mandatory. These systems should ensure a set of data to evaluate medical scores like is SAPS, SOFA and GLASGOW. The value of these scores gives the doctors the ability to understand the real condition of the patient and provides a mean to improve their decisions in order to choose the best therapy for the patient. Unfortunately, almost all of the required data to obtain these scores are recorded on paper and rarely are stored electronically. Doctors recognize this as an important limitation in the Intensive Care Units. This paper presents an intelligent system to obtain the data, calculate the scores and disseminate the results in an online, automatic, continuous and pervasive way. The major features of the system are detailed and discussed. A preliminary assessment of the system is also provided.
Keywords
- Intensive Medicine Scores
- Real Time
- Pervasive System
- Scoring System
- SAPS
- SOFA
- GLASGOW
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References
Keegan, M.T., Gajic, O., Afessa, B.: Severity of illness scoring systems in the intensive care unit. Critical Care Medicine 39, 163 (2011)
Schusterschitz, N., Joannidis, M.: Predictive capacity of severity scoring systems in the ICU. Contributions to Nephrology 156, 92 (2007)
Gago, P., Santos, M.F., Silva, Á., Cortez, P., Neves, J., Gomes, L.: INTCare: a knowledge discovery based intelligent decision support system for intensive care medicine. Journal of Decision Systems (2006)
Strand, K., Flaatten, H.: Severity scoring in the ICU: a review. Acta Anaesthesiologica Scandinavica 52, 467–478 (2008)
Metnitz, P.G.H., Moreno, R.P., Almeida, E., Jordan, B., Bauer, P., Campos, R.A., Iapichino, G., Edbrooke, D., Capuzzo, M., Le Gall, J.R.: SAPS 3—From evaluation of the patient to evaluation of the intensive care unit. Part 1: Objectives, methods and cohort description. Intensive Care Medicine 31, 1336–1344 (2005)
Shabot, M.M.: Automated data acquisition and scoring for JCAHO ICU core measures, p. 674 (2005)
Brenck, F., Hartmann, B., Mogk, M., Junger, A.: Scoring systems for daily assessment in intensive care medicine. Overview, current possibilities and demands on new developments. Der Anaesthesist 57, 189 (2008)
Vincent, J.L., Bruzzi de Carvalho, F.: Severity of illness. Semin Respir. Crit. Care Med. 31, 031–038 (2010)
Vincent, J.L., Moreno, R., Takala, J., Willatts, S., De Mendonca, A., Bruining, H., Reinhart, C.K., Suter, P.M., Thijs, L.G.: The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. Intensive Care Medicine 22, 707–710 (1996)
Le Gall, J.R., Lemeshow, S., Saulnier, F.: A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study. JAMA 270, 2957–2963 (1993)
Moreno, R.P., Metnitz, P.G.H., Almeida, E., Jordan, B., Bauer, P., Campos, R.A., Iapichino, G., Edbrooke, D., Capuzzo, M., Le Gall, J.R.: SAPS 3—From evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission. Intensive Care Medicine 31, 1345–1355 (2005)
Jones, C.: Glasgow coma scale. AJN The American Journal of Nursing 79, 1551 (1979)
Vilas-Boas, M., Santos, M.F., Portela, F., Silva, Á., Rua, F.: Hourly prediction of organ failure and outcome in intensive care based on data mining techniques. Presented at the 12th International Conference on Enterprise Information Systems, Funchal, Madeira, Portugal (2010)
Portela, F., Gago, P., Santos, M.F., Silva, A., Rua, F., Machado, J., Abelha, A., Neves, J.: Knowledge Discovery for Pervasive and Real-Time Intelligent Decision Support in Intensive Care Medicine. Presented at the KMIS 2011- International Conference on Knowledge Management and Information Sharing, Paris, France (2011)
Santos, M.F., Portela, F., Vilas-Boas, M., Machado, J., Abelha, A., Neves, J.: INTCARE - Multi-agent approach for real-time Intelligent Decision Support in Intensive Medicine. In: 3rd International Conference on Agents and Artificial Intelligence (ICAART), Rome, Italy (2011)
Wooldridge, M.: Intelligent agents. In: Multiagent Systems: a Modern Approach to Distributed Artificial Intelligence, pp. 27–77. MIT Press (1999)
Vassiliadis, P., Simitsis, A., Skiadopoulos, S.: Conceptual modeling for ETL processes, pp. 14–21 (2002)
Hooda, J.S., Dogdu, E., Sunderraman, R.: Health Level-7 compliant clinical patient records system, pp. 259–263 (2004)
Abelha, A., Machado, M., Santos, M., Sollari, A., Rua, F., Paiva, M., Neves, J.: Agency for Archive, Integration and Diffusion of Medical Information. In: Proceeding of AIA (2003)
Santos, M.F., Portela, F., Vilas-Boas, M., Machado, J., Abelha, A., Neves, J.: Information Architecture for Intelligent Decision Support in Intensive Medicine. In: 8th International Conference on Applied Computer and Applied Computational Science (ACACOS 2009), vol. 8, pp. 810–819 (2009)
Portela, F., Santos, M.F., Gago, P., Silva, Á., Rua, F., Abelha, A., Machado, J., Neves, J.: Enabling real-time intelligent decision support in intensive care. In: 25th European Simulation and Modelling Conference- ESM 2011, Guimarães, Portugal, p. 446 (2011)
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Portela, F., Santos, M.F., Machado, J., Silva, Á., Rua, F., Abelha, A. (2012). Intelligent Data Acquisition and Scoring System for Intensive Medicine. In: Böhm, C., Khuri, S., Lhotská, L., Renda, M.E. (eds) Information Technology in Bio- and Medical Informatics. ITBAM 2012. Lecture Notes in Computer Science, vol 7451. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32395-9_1
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DOI: https://doi.org/10.1007/978-3-642-32395-9_1
Publisher Name: Springer, Berlin, Heidelberg
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