The Friendly Health Issue Network to Support Computer-Assisted Education for Clinical Reasoning in Multimorbidity Patients
Clinical reasoning in multimorbidity conditions asks for the ability to anticipate the possible evolutions of the overall health state of a patient and to identify the interactions among the concurrent health issues and their treatments. The HIN (Health Issue Network) approach, as Petri Nets-based f...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/10/17/2075 |
| _version_ | 1797521515848138752 |
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| author | Fabrizio Pecoraro Fabrizio L. Ricci Fabrizio Consorti Daniela Luzi Oscar Tamburis |
| author_facet | Fabrizio Pecoraro Fabrizio L. Ricci Fabrizio Consorti Daniela Luzi Oscar Tamburis |
| author_sort | Fabrizio Pecoraro |
| collection | DOAJ |
| description | Clinical reasoning in multimorbidity conditions asks for the ability to anticipate the possible evolutions of the overall health state of a patient and to identify the interactions among the concurrent health issues and their treatments. The HIN (Health Issue Network) approach, as Petri Nets-based formal language, is introduced as capable of providing a novel perspective to facilitate the acquisition of such competencies, graphically representing the network among a set of health issues (HIs) that affect a person throughout their life, and describing how HIs evolve over time. The need to provide a more immediate user-oriented interface has led to the development of f-HIN (friendly HIN), a lighter version based on the same mathematical properties as HIN, from which stems in turn the f-HINe (friendly HIN extracted) model, used to represent networks related to either real patients’ clinical experiences extracted from electronic health records, or from teacher-designed realistic clinical histories. Such models have also been designed to be embedded in a software learning environment that allows drawing a f-HIN diagram, checking for its format correctness, as well as designing clinical exercises for the learners, including their computer-assisted assessment. The present paper aims at introducing and discussing the f-HIN/f-HINe models and their educational use. It also introduces the main features of the software learning environment it was built upon, pointing out its importance to: (i) help medical teachers in designing and representing the context of a learning outcome; and (ii) handle the complex history of a multimorbidity patient, to be conveyed in Case-Based Learning (CBL) exercises. |
| first_indexed | 2024-03-10T08:13:36Z |
| format | Article |
| id | doaj.art-5a8db003323f48bfb717c5d1ebc860ce |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T08:13:36Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-5a8db003323f48bfb717c5d1ebc860ce2023-11-22T10:29:35ZengMDPI AGElectronics2079-92922021-08-011017207510.3390/electronics10172075The Friendly Health Issue Network to Support Computer-Assisted Education for Clinical Reasoning in Multimorbidity PatientsFabrizio Pecoraro0Fabrizio L. Ricci1Fabrizio Consorti2Daniela Luzi3Oscar Tamburis4Institute for Research on Population and Social Policies, National Research Council, 00185 Rome, ItalyInstitute for Research on Population and Social Policies, National Research Council, 00185 Rome, ItalyDepartment of Surgical Sciences, Sapienza University of Rome, 00185 Rome, ItalyInstitute for Research on Population and Social Policies, National Research Council, 00185 Rome, ItalyInstitute for Research on Population and Social Policies, National Research Council, 00185 Rome, ItalyClinical reasoning in multimorbidity conditions asks for the ability to anticipate the possible evolutions of the overall health state of a patient and to identify the interactions among the concurrent health issues and their treatments. The HIN (Health Issue Network) approach, as Petri Nets-based formal language, is introduced as capable of providing a novel perspective to facilitate the acquisition of such competencies, graphically representing the network among a set of health issues (HIs) that affect a person throughout their life, and describing how HIs evolve over time. The need to provide a more immediate user-oriented interface has led to the development of f-HIN (friendly HIN), a lighter version based on the same mathematical properties as HIN, from which stems in turn the f-HINe (friendly HIN extracted) model, used to represent networks related to either real patients’ clinical experiences extracted from electronic health records, or from teacher-designed realistic clinical histories. Such models have also been designed to be embedded in a software learning environment that allows drawing a f-HIN diagram, checking for its format correctness, as well as designing clinical exercises for the learners, including their computer-assisted assessment. The present paper aims at introducing and discussing the f-HIN/f-HINe models and their educational use. It also introduces the main features of the software learning environment it was built upon, pointing out its importance to: (i) help medical teachers in designing and representing the context of a learning outcome; and (ii) handle the complex history of a multimorbidity patient, to be conveyed in Case-Based Learning (CBL) exercises.https://www.mdpi.com/2079-9292/10/17/2075clinical reasoning in multimorbiditymedical educationPetri NetsHealth Issue Networkeducational softwareCase-Based Learning |
| spellingShingle | Fabrizio Pecoraro Fabrizio L. Ricci Fabrizio Consorti Daniela Luzi Oscar Tamburis The Friendly Health Issue Network to Support Computer-Assisted Education for Clinical Reasoning in Multimorbidity Patients Electronics clinical reasoning in multimorbidity medical education Petri Nets Health Issue Network educational software Case-Based Learning |
| title | The Friendly Health Issue Network to Support Computer-Assisted Education for Clinical Reasoning in Multimorbidity Patients |
| title_full | The Friendly Health Issue Network to Support Computer-Assisted Education for Clinical Reasoning in Multimorbidity Patients |
| title_fullStr | The Friendly Health Issue Network to Support Computer-Assisted Education for Clinical Reasoning in Multimorbidity Patients |
| title_full_unstemmed | The Friendly Health Issue Network to Support Computer-Assisted Education for Clinical Reasoning in Multimorbidity Patients |
| title_short | The Friendly Health Issue Network to Support Computer-Assisted Education for Clinical Reasoning in Multimorbidity Patients |
| title_sort | friendly health issue network to support computer assisted education for clinical reasoning in multimorbidity patients |
| topic | clinical reasoning in multimorbidity medical education Petri Nets Health Issue Network educational software Case-Based Learning |
| url | https://www.mdpi.com/2079-9292/10/17/2075 |
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