Abstract
The paper describes the first deployment phases of the HIN (Health Issue Network) approach as innovative learning technology for both the Departments of Veterinary Medicine and Animal Productions and of Public Health of the “Federico II” University of Naples. To test this approach, the researchers involved were called to translate clinical cases from their professional experiences by means of a friendly version of HIN’s Petri Nets-based formalism, called f-HINe. A specific software learning environment (fHINscene) was also tested, which allows drawing a f-HINe diagram, as well as designing clinical exercises for medical students according to the Case-Based Learning approach. The results of the tests proved the importance of having a synthetic graphic representation able to analyze complex clinical cases and encouraging inquiry-based learning methods.
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Dreyfus, S. E., Dreyfus, H. L.: A five-stage model of the mental activities involved in directed skill acquisition. California Univ Berkeley Operations Research Center (1980)
Ricci, F.L., Consorti, F., Pecoraro, F., Luzi, D., Mingarelli, V., Tamburis, O.: HIN-health issue network as means to improve case-based learning in health sciences education. Decis. Support Syst. Educ. Help Support Healthcare 255, 262 (2018)
Ricci, F.L., et al.: Understanding petri nets in health sciences education: the health issue network perspective. Stud. Health Technol. Inform. 270, 484–488 (2020)
Ricci, F.L., Pecoraro, F., Luzi, D., Consorti, F., Tamburis, O.: HIN (Health Issue Network). Rete dei problemi di salute. Uso delle reti di Petri per l’educazione nelle scienze mediche. IRPPS Working Papers, pp. 1–140 (2020)
Pecoraro, F., Ricci, F.L., Consorti, F., Luzi, D., Tamburis, O.: The friendly health issue network to support computer-assisted education for clinical reasoning in multimorbidity patients. Electronics 10(17), 2075 (2021)
Murata, T.: Petri nets: properties, analysis and applications. Proc. IEEE 77(4), 541–580 (1989)
Caroprese, L., Veltri, P., Vocaturo, E., Zumpano, E.: Deep learning techniques for electronic health record analysis. In: 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA), pp. 1–4. IEEE (2018)
Phillpotts, C., Creamer, P., Andrews, T.: Teaching medical students about chronic disease: patient-led teaching in rheumatoid arthritis. Musculoskeletal Care 8(1), 55-60 (2010)
Valderas, J.M., Starfield, B., Sibbald, B., Salisbury, C., Roland, M.: Defining comorbidity: implications for understanding health and health services. Ann. Family Med. 7(4), 357–363 (2009)
Banchi, H., Bell, R.: The many levels of inquiry. Sci. Child. 46(2), 26 (2008)
Braun, V., Clarke, V.: Using thematic analysis in psychology. Qualitat. Res. Psychol. 3(2), 77–101 (2006)
Brenner, M., O’Shea, M.P., Larkin, P., Luzi, D., Pecoraro, F., Tamburis, O., et al.: Management and integration of care for children living with complex care needs at the acute-community interface in Europe. Lancet Child Adolescent Health 2(11), 822–831 (2018)
MEA, V. D., Vuattolo, O., Frattura, L., Munari, F., Verdini, E., Zanier, L., et al.: Design, development and first validation of a transcoding system from ICD-9-CM to ICD-10 in the IT. DRG Italian project. In: Digital Healthcare Empowering Europeans: Proceedings of MIE2015, vol. 210, p. 135 (2015)
Ciuca, L., et al.: Irreversible ocular lesions in a dog with Angiostrongylus vasorum infection. Topics Compan. Ani. Med. 36, 4–8 (2019)
Pelaccia, T., Tardif, J., Triby, E., Charlin, B.: An analysis of clinical reasoning through a recent and comprehensive approach: the dual-process theory. Med. Educ. Online 16(1), 5890 (2011)
Towle, A., Brown, H., Hofley, C., Kerston, R.P., Lyons, H., Walsh, C.: The expert patient as teacher: an interprofessional Health Mentors programme. Clin. Teach. 11(4), 301–306 (2014)
Hege, I., et al.: Experiences with different integration strategies of case-based e-learning. Med. Teach. 29(8), 791–797 (2007)
Wong, D., Kogan, L.R.: Veterinary students’ attitudes on one health: implications for curriculum development at veterinary colleges. J. Veterin. Med. Educ. 40(1), 58–62 (2013)
de Lusignan, S., Liyanage, H., McGagh, D., Jani, B.D., Bauwens, J., Byford, R., et al.: COVID-19 surveillance in a primary care sentinel network: in-pandemic development of an application ontology. JMIR Publ. Health Surveill. 6(4), e21434 (2020)
World Health Organization: International statistical classification of diseases and related health problems – 10th revision, Fifth edition (2016)
https://www.salute.gov.it/portale/lea/menuContenutoLea.jsp?lingua=italiano&area=Lea&menu=leaEssn. Accessed 27 Jan 2022
Acknowledgements
This research was partially supported by the Board of Directors of the University of Naples Federico II through the FEDERICO project (Innovation in education for tenure-track researchers, grant EO/2020/933 of 11/06/2020) funded by University of Naples Federico II.
Authors wish to thank the researchers and professors from “Federico II” University (M. D’Ambra, L. D’Angelo, G. Della Valle, P. Gargiulo, M. Gizzarelli, J. Guccione, R. Marrone, M.P. Maurelli) for the support provided in testing and validating both the HIN approach, and the fHINscene software.
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Tamburis, O., Ricci, F.L., Consorti, F., Pecoraro, F., Luzi, D. (2022). Innovative Learning Technologies as Support to Clinical Reasoning in Medical Sciences: The Case of the “FEDERICO II” University. In: Abraham, A., Gandhi, N., Hanne, T., Hong, TP., Nogueira Rios, T., Ding, W. (eds) Intelligent Systems Design and Applications. ISDA 2021. Lecture Notes in Networks and Systems, vol 418. Springer, Cham. https://doi.org/10.1007/978-3-030-96308-8_57
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