Supporting clinical professionals in the decision-making for patients with chronic diseases Mitja Luštrek 1 , Božidara Cvetković 1 , Maurizio Bordone 2 , Eduardo Soudah 2 , Carlos Cavero 3 , Juan Mario Rodríguez 3 , Aitor Moreno 4 , Alexander Brasaola 4 , Paolo Emilio Puddu 5 1 Jožef Stefan Institute, Slovenia 2 CIMNE, Spain 3 Atos, Spain 4 Ibermática, Spain 5 University of Rome “La Sapienza”, Italy
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1 Jožef Stefan Institute, Slovenia 2 CIMNE, Spain 3 Atos, Spain 4 Ibermática, Spain
Supporting c linical p rofessionals in the d ecision-making for p atients with c hronic d iseases. Mitja Luštrek 1 , Božidara Cvetković 1 , Maurizio Bordone 2 , Eduardo Soudah 2 , Carlos Cavero 3 , Juan Mario Rodríguez 3 , Aitor Moreno 4 , Alexander Brasaola 4 , Paolo Emilio Puddu 5. - PowerPoint PPT Presentation
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Supporting clinical professionals in the decision-making for
Carlos Cavero3, Juan Mario Rodríguez3, Aitor Moreno4, Alexander Brasaola4, Paolo Emilio Puddu5
1 Jožef Stefan Institute, Slovenia2 CIMNE, Spain3 Atos, Spain4 Ibermática, Spain5 University of Rome “La Sapienza”, Italy
Rationale
• Medical labs produce a lot of data on a patient• Telemonitoring produces even more data • The amount of medical literature is huge• Overwhelming for a clinical professional
Rationale
• Medical labs produce a lot of data on a patient• Telemonitoring produces even more data • The amount of medical literature is huge• Overwhelming for a clinical professional
• Needs tools to make sense of all these data• Decision support system (DSS)
Clinical workflow
1. The doctor starts examining the condition of a patient, possibly because of an alert by the DSS.
Clinical workflow
1. The doctor starts examining the condition of a patient, possibly because of an alert by the DSS.
2. The doctor examines the patient’s current (and historic) risk, computed by the DSS.
Clinical workflow
1. The doctor starts examining the condition of a patient, possibly because of an alert by the DSS.
2. The doctor examines the patient’s current (and historic) risk, computed by the DSS.
3. If the risk is high, the doctor looks for reasons. The DSS computes the contribution to the risk for each of the monitored parameters.
Clinical workflow
1. The doctor starts examining the condition of a patient, possibly because of an alert by the DSS.
2. The doctor examines the patient’s current (and historic) risk, computed by the DSS.
3. If the risk is high, the doctor looks for reasons. The DSS computes the contribution to the risk for each of the monitored parameters.
4. The doctor may look for further information in the medical literature with the help of the DSS.
Clinical workflow
1. The doctor starts examining the condition of a patient, possibly because of an alert by the DSS.
2. The doctor examines the patient’s current (and historic) risk, computed by the DSS.
3. If the risk is high, the doctor looks for reasons. The DSS computes the contribution to the risk for each of the monitored parameters.
4. The doctor may look for further information in the medical literature with the help of the DSS.
5. The doctor may reconfigure the DSS.
DSS architecture
Electronichealthrecord
Sensors
Literature consultationExternaldata
Risk assessment
Expertknowledge
Machinelearning
Anomalydetection
Alerts Configuration
Risk assessment – expert knowledge
Electronichealthrecord
Sensors
Literature consultationExternaldata
Risk assessment
Expertknowledge
Machinelearning
Anomalydetection
Alerts Configuration
Monitored parameters
• Search of medical literature for parameters affecting the risk (for congestive heart failure)
• Survey among 32 cardiologists to determine the importance of these parameters
Monitored parameters
• Search of medical literature for parameters affecting the risk (for congestive heart failure)
• Survey among 32 cardiologists to determine the importance of these parameters
• Additional information for each parameter:– Minimum, maximum value– Whether larger value means higher or lower risk– Values indicating green, yellow or red condition– Frequency of measurement (low = static, medium =