Ontology-based specification, identification and analysis of perioperative risks
Abstract Background Medical personnel in hospitals often works under great physical and mental strain. In medical decision-making, errors can never be completely ruled out. Several studies have shown that between 50 and 60% of adverse events could have been avoided through better organization, more...
| Main Authors: | , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2017-09-01
|
| Series: | Journal of Biomedical Semantics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13326-017-0147-8 |
| _version_ | 1819237591879254016 |
|---|---|
| author | Alexandr Uciteli Juliane Neumann Kais Tahar Kutaiba Saleh Stephan Stucke Sebastian Faulbrück-Röhr André Kaeding Martin Specht Tobias Schmidt Thomas Neumuth Andreas Besting Dominik Stegemann Frank Portheine Heinrich Herre |
| author_facet | Alexandr Uciteli Juliane Neumann Kais Tahar Kutaiba Saleh Stephan Stucke Sebastian Faulbrück-Röhr André Kaeding Martin Specht Tobias Schmidt Thomas Neumuth Andreas Besting Dominik Stegemann Frank Portheine Heinrich Herre |
| author_sort | Alexandr Uciteli |
| collection | DOAJ |
| description | Abstract Background Medical personnel in hospitals often works under great physical and mental strain. In medical decision-making, errors can never be completely ruled out. Several studies have shown that between 50 and 60% of adverse events could have been avoided through better organization, more attention or more effective security procedures. Critical situations especially arise during interdisciplinary collaboration and the use of complex medical technology, for example during surgical interventions and in perioperative settings (the period of time before, during and after surgical intervention). Methods In this paper, we present an ontology and an ontology-based software system, which can identify risks across medical processes and supports the avoidance of errors in particular in the perioperative setting. We developed a practicable definition of the risk notion, which is easily understandable by the medical staff and is usable for the software tools. Based on this definition, we developed a Risk Identification Ontology (RIO) and used it for the specification and the identification of perioperative risks. Results An agent system was developed, which gathers risk-relevant data during the whole perioperative treatment process from various sources and provides it for risk identification and analysis in a centralized fashion. The results of such an analysis are provided to the medical personnel in form of context-sensitive hints and alerts. For the identification of the ontologically specified risks, we developed an ontology-based software module, called Ontology-based Risk Detector (OntoRiDe). Conclusions About 20 risks relating to cochlear implantation (CI) have already been implemented. Comprehensive testing has indicated the correctness of the data acquisition, risk identification and analysis components, as well as the web-based visualization of results. |
| first_indexed | 2024-12-23T13:22:46Z |
| format | Article |
| id | doaj.art-7517124c654343388bad765be641f366 |
| institution | Directory Open Access Journal |
| issn | 2041-1480 |
| language | English |
| last_indexed | 2024-12-23T13:22:46Z |
| publishDate | 2017-09-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Biomedical Semantics |
| spelling | doaj.art-7517124c654343388bad765be641f3662022-12-21T17:45:23ZengBMCJournal of Biomedical Semantics2041-14802017-09-018111410.1186/s13326-017-0147-8Ontology-based specification, identification and analysis of perioperative risksAlexandr Uciteli0Juliane Neumann1Kais Tahar2Kutaiba Saleh3Stephan Stucke4Sebastian Faulbrück-Röhr5André Kaeding6Martin Specht7Tobias Schmidt8Thomas Neumuth9Andreas Besting10Dominik Stegemann11Frank Portheine12Heinrich Herre13Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of LeipzigInnovation Center Computer Assisted Surgery (ICCAS), University of LeipzigInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), University of LeipzigJena University HospitalGMC Systems mbHGMC Systems mbHGMC Systems mbHJena University HospitalJena University HospitalInnovation Center Computer Assisted Surgery (ICCAS), University of LeipzigSurgiTAIX AGSurgiTAIX AGSurgiTAIX AGInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), University of LeipzigAbstract Background Medical personnel in hospitals often works under great physical and mental strain. In medical decision-making, errors can never be completely ruled out. Several studies have shown that between 50 and 60% of adverse events could have been avoided through better organization, more attention or more effective security procedures. Critical situations especially arise during interdisciplinary collaboration and the use of complex medical technology, for example during surgical interventions and in perioperative settings (the period of time before, during and after surgical intervention). Methods In this paper, we present an ontology and an ontology-based software system, which can identify risks across medical processes and supports the avoidance of errors in particular in the perioperative setting. We developed a practicable definition of the risk notion, which is easily understandable by the medical staff and is usable for the software tools. Based on this definition, we developed a Risk Identification Ontology (RIO) and used it for the specification and the identification of perioperative risks. Results An agent system was developed, which gathers risk-relevant data during the whole perioperative treatment process from various sources and provides it for risk identification and analysis in a centralized fashion. The results of such an analysis are provided to the medical personnel in form of context-sensitive hints and alerts. For the identification of the ontologically specified risks, we developed an ontology-based software module, called Ontology-based Risk Detector (OntoRiDe). Conclusions About 20 risks relating to cochlear implantation (CI) have already been implemented. Comprehensive testing has indicated the correctness of the data acquisition, risk identification and analysis components, as well as the web-based visualization of results.http://link.springer.com/article/10.1186/s13326-017-0147-8Perioperative risksOntologyRisk definitionRisk specificationRisk identificationRisk analysis |
| spellingShingle | Alexandr Uciteli Juliane Neumann Kais Tahar Kutaiba Saleh Stephan Stucke Sebastian Faulbrück-Röhr André Kaeding Martin Specht Tobias Schmidt Thomas Neumuth Andreas Besting Dominik Stegemann Frank Portheine Heinrich Herre Ontology-based specification, identification and analysis of perioperative risks Journal of Biomedical Semantics Perioperative risks Ontology Risk definition Risk specification Risk identification Risk analysis |
| title | Ontology-based specification, identification and analysis of perioperative risks |
| title_full | Ontology-based specification, identification and analysis of perioperative risks |
| title_fullStr | Ontology-based specification, identification and analysis of perioperative risks |
| title_full_unstemmed | Ontology-based specification, identification and analysis of perioperative risks |
| title_short | Ontology-based specification, identification and analysis of perioperative risks |
| title_sort | ontology based specification identification and analysis of perioperative risks |
| topic | Perioperative risks Ontology Risk definition Risk specification Risk identification Risk analysis |
| url | http://link.springer.com/article/10.1186/s13326-017-0147-8 |
| work_keys_str_mv | AT alexandruciteli ontologybasedspecificationidentificationandanalysisofperioperativerisks AT julianeneumann ontologybasedspecificationidentificationandanalysisofperioperativerisks AT kaistahar ontologybasedspecificationidentificationandanalysisofperioperativerisks AT kutaibasaleh ontologybasedspecificationidentificationandanalysisofperioperativerisks AT stephanstucke ontologybasedspecificationidentificationandanalysisofperioperativerisks AT sebastianfaulbruckrohr ontologybasedspecificationidentificationandanalysisofperioperativerisks AT andrekaeding ontologybasedspecificationidentificationandanalysisofperioperativerisks AT martinspecht ontologybasedspecificationidentificationandanalysisofperioperativerisks AT tobiasschmidt ontologybasedspecificationidentificationandanalysisofperioperativerisks AT thomasneumuth ontologybasedspecificationidentificationandanalysisofperioperativerisks AT andreasbesting ontologybasedspecificationidentificationandanalysisofperioperativerisks AT dominikstegemann ontologybasedspecificationidentificationandanalysisofperioperativerisks AT frankportheine ontologybasedspecificationidentificationandanalysisofperioperativerisks AT heinrichherre ontologybasedspecificationidentificationandanalysisofperioperativerisks |