Medical Expert Support Tool (MEST): A Person-Centric Approach for Healthcare Management

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• 作者：Carlos Cavero Barca (1) carlos.cavero@atosresearch.eu
  Juan Mario Rodríguez (1) juan.rodriguezp@atosresearch.eu
  Rosana Valle Soriano (1) rosana.valle@atosresearch.eu
  Alberto Rugnone (2) a.rugnone@i-piu.it
  Francesco Foresti (2) f.foresti@i-piu.it
  Elena Tamburini (2) e.tamburini@i-piu.it
  Cristiano Paggetti (2) c.paggetti@i-piu.it
  John Gialelis (3) gialelis@ece.upatras.gr
  Petros Chondros (3) pchondros@ece.upatras.gr
  Christos Panagiotou (3) cpanag@ece.upatras.gr
  Maitena Ilardia (4) maitena.ilardia@tecnalia.com
  I?aki Eguia (4) inaki.eguia@tecnalia.com
  Paolo Emilio Puddu (5) paoloemilio.puddu@uniroma1.it
  Mitja Lu?trek (6) mitja.lustrek@ijs.si
• 关键词：Medical Expert Support Tool – risk assessment – healthcare – personcentric – user ; centered design
• 刊名：Lecture Notes in Computer Science
• 出版年：2012
• 出版时间：2012
• 年：2012
• 卷：7251
• 期：1
• 页码：99-106
• 全文大小：323.0 KB
• 参考文献：1. http://www.who.int/topics/chronic_diseases/en/
  2. Leslie, S.J., Hartswood, M., Meurig, C., McKee, S.P., Slack, R., Procter, R., Denvir, M.A.: Clinical decision support software for management of chronic heart failure: development and evaluation. Comput. Biol. Med. 36(5), 495–506 (2006) (Epub May 31, 2005)
  3. EN13606 - a Standard for EHR System Communication
  4. http://qrisk.org/
  5. http://www.arriba-hausarzt.de/
  6. ISO 9241-210:2010 Ergonomics of human-system interaction - Part 210: Human-centred design for interactive systems
• 作者单位：1. ATOS, Albarracín 25, 28037 Madrid, Spain2. I+ s.r.l., pz Puccini 36, Italy3. Industrial Systems Institute, Stadiou str, 26504 Platani, Patras, Greece4. Fundación Tecnalia R&I, Paseo Mikeletegui 2, 20009 San Sebastián, Spain5. University of Rome “La Sapienza- Viale del Policlinico 155, Rome, 00161 Italy6. Jo?ef Stefan Institute, Jamova cesta 39, 1000 Ljubljana, Slovenia
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

The Medical Expert Support Tool (MEST) is aimed at helping the clinician in recognizing risk factors in the patient status by offering a multiparametric overview, and by highlighting the individual situation using meaningful colors (green, yellow and red) in order to compare the person physiological parameters with the computed profile. The medical professionals configure the conditions (relevant parameters, thresholds, rules and alerts) setting the values to the decision support modules and receiving the risk assessment results. Finally, interventions should be done depending on the evaluation of the patient. The tool has been designed along with the clinician involved in the project and it will be fully tested and evaluated during the observational study (100 patients) starting on June 2012.