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DIGITAL HEALTH

CODE 106731
ACADEMIC YEAR 2022/2023
CREDITS
  • 6 cfu during the 2nd year of 11159 BIOENGINEERING(LM-21) - GENOVA
  • SCIENTIFIC DISCIPLINARY SECTOR ING-INF/06
    LANGUAGE English
    TEACHING LOCATION
  • GENOVA
  • SEMESTER 1° Semester
    TEACHING MATERIALS AULAWEB

    OVERVIEW

    Digital health, or digital healthcare, is a broad, multidisciplinary concept that includes concepts from an intersection between technology and healthcare. Digital health applies digital transformation to the healthcare field, incorporating software, hardware and services. Under its umbrella, digital health includes mobile health (mHealth) apps, electronic health records (EHRs), electronic medical records (EMRs), wearable devices, telehealth and telemedicine, as well as personalized medicine.

    The course, starting from the introductory contents presented in the previous Technologies for Personalized Medicine course, intends to provide the theoretical, technological and practical bases to address the topics described in the previous paragraph.

    AIMS AND CONTENT

    LEARNING OUTCOMES

    La crescente introduzione di tecniche di calcolo negli ambienti biomedici richiederà che persone ben formate siano disponibili non solo per insegnare agli studenti, ma anche per progettare, sviluppare, selezionare e gestire i sistemi informativi del futuro. Esiste un'ampia gamma di problemi informatici dipendenti dal contesto che le persone possono apprezzare solo lavorando su problemi definiti dall'ambiente sanitario e dai suoi vincoli. A tal fine, il corso presenterà l'applicazione tipica delle scienze dell'informazione a questioni mediche (come sistemi di cartelle cliniche elettroniche, informatica sanitaria pubblica vs consumatori, infrastrutture di informazione sanitaria, telemedicina) considerando alcune tecnologie di base come: sistemi di database, definizione standard sia a livello tecnico che a livello semantico, comunicazione basata su Internet, elaborazione del linguaggio naturale, sistemi di supporto alle decisioni.

    AIMS AND LEARNING OUTCOMES

    Aims

    • Acquisition of the theoretical basis of the major constituent elements of the Digital Health ecosystem
    • Acquisition of the practical elements of sharing clinical data.
    • Application of medical informatics standards

    Learning outcomes

    • To improve computer skills especially with regard to databases. managed languages and service-oriented architectures
    • To learn about specific design methods for health information systems

     

    PREREQUISITES

    • General informatics
    • Databases
    • Object oriented programming languages
    • Operating systems
    • Computer networks

    TEACHING METHODS

    The course is developed in parallel on two tracks.

    In the first, more theoretical, the various topics are presented with traditional lessons, there are also some seminars by Italian and foreign experts on specific topics.

    In the second, more practical, teaching is carried out in a participatory way, developing together with the students increasingly concrete examples of parts of databases of significant interest in Medical Information Technology and their (standardized) interfaces using web services.

     

    SYLLABUS/CONTENT

    • Biomedical Data: Their Acquisition, Storage, and Use
    • Human-Computer Interaction, Usability, and Workflow
    • Standards in Biomedical Informatics
    • Natural Language Processing for Health-Related Texts
    • Personal Health Informatics
    • Evaluation of Biomedical and Health Information Resources
    • Electronic Health Records
    • Health Information Infrastructure
    • Management of Information in Health Care Organizations
    • Patient-Centered Care Systems
    • Population and Public Health Informatics
    • mHealth and Applications
    • Telemedicine and Telehealth
    • Information Retrieval
    • Clinical Decision-Support Systems
    • Clinical Research Informatics
    • Precision Medicine and Informatics

     

    • Practical Clinical Data Management
    • Examples of data treatment through the WEB

    RECOMMENDED READING/BIBLIOGRAPHY

    • E. H. Shortliffe, J. J. Cimino (Editors), M. F. Chiang (Co-Editor) “Biomedical Informatics: Computer Applications in Health Care and Biomedicine” Fifth Edition, 2021, Cham (Switzerland), Springer
    • Silberschatz, H. Korth, S. Sudarshan “Database Systems Concept” Seventh Edition, 2020, New York, Mc Grow Hill
    • N. Harrison “SQL Queries Succinctly”, 2017, Syncfusion
    • D. Roth, J. Fritz, T. Southwick “Blazor for ASP.NET Web Forms Developers” 2021, Microsoft

    TEACHERS AND EXAM BOARD

    LESSONS

    Class schedule

    All class schedules are posted on the EasyAcademy portal.

    EXAMS

    EXAM DESCRIPTION

    • Practical test, developed during the lessons, with a final interview
    • Interview on the theoretical topics listed in the syllabus

    ASSESSMENT METHODS

    In the final practical interview, all the components of the system developed during the lessons relating to a specific topic will be analyzed. The analysis skills of the developed codes and the ability to change the same codes as the requirements change will be evaluated.

    In the theoretical interview, the ability to connect between the various topics studied will be assessed, especially in order to test the propensity for complex design in the medical IT field.