title: Control theory as a conceptual framework for intensive care monitoring.
abstract: Monitoring patients hospitalized in hemato-oncology departments to undergo clinical protocols of therapy is a complex task. The main difficulty arises in the management of the oncology protocol as well as in the management of critical episodes of acute illness which frequently occur due to high toxicity of the used antimitotics. This problem of controlling a patient's condition can be conceptualized within the control theory paradigm as the task of controlling a process whose state changes over time and can deviate unacceptably from a normal range. Upon request of a French clinical department of hemato-oncology, we developed an intelligent patient monitor named SEPIA to assist clinicians in this task. Following the control theory analogy at the level of knowledge bases design, we have modeled the medical knowledge as control information to represent the medical actions, and state information is used as feedback control to characterize the patient's state. After a general presentation of SEPIA, the analogies between control theory actors and SEPIA's components are specified. The article then focuses on state variables representation. The data reduction process, activated as new data are given to the system, is described. A simulated running session is finally presented to illustrate the whole reasoning process.
authors.affiliation: Service d'Informatique Médicale, DIAM, Paris, France.
authors.forename: B
authors.initials: B
authors.lastname: Séroussi
authors.forename: V
authors.initials: V
authors.lastname: Morice
authors.forename: F
authors.initials: F
authors.lastname: Dreyfus
authors.forename: J F
authors.initials: JF
authors.lastname: Boisvieux
mesh_terms: D000465:Algorithms; D000970:Antineoplastic Agents / Q000627:therapeutic use; D000971:Antineoplastic Combined Chemotherapy Protocols / Q000627:therapeutic use; D001185:Artificial Intelligence; D003198:Computer Simulation; D003422:Critical Care; D003520:Cyclophosphamide / Q000008:administration & dosage; D003658:Decision Making, Computer-Assisted; D003663:Decision Trees; D004317:Doxorubicin / Q000008:administration & dosage; D005246:Feedback; D006405:Hematology; D006801:Humans; D007256:Information Systems; D007257:Information Theory; D008228:Lymphoma, Non-Hodgkin / Q000188:drug therapy; D008297:Male; D008875:Middle Aged; D008991:Monitoring, Physiologic; D016522:Oncology Service, Hospital; D010347:Patient Care Planning; D011241:Prednisone / Q000008:administration & dosage; D014750:Vincristine / Q000008:administration & dosage
chemical_list: D000970:Antineoplastic Agents; D014750:Vincristine; D004317:Doxorubicin; D003520:Cyclophosphamide; D011241:Prednisone