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  1. Book ; Online: L'Educatore Digitale in sanità

    Bellini, Claudia

    Co-progettare la formazione continua online

    (Media e tecnologie per la didattica)

    2022  

    Series title Media e tecnologie per la didattica
    Keywords Educational equipment & technology, computer-aided learning (CAL) ; Colleges of further education ; Medical profession ; E-learning; Continuing Medical Education; Co-design; Digital Educator; Health
    Language Italian
    Size 1 electronic resource (157 pages)
    Publisher FrancoAngeli
    Publishing place Milan
    Document type Book ; Online
    Note Italian
    HBZ-ID HT030377648
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: A survey on Artificial Intelligence and Big Data utilisation in Italian clinical laboratories.

    Bellini, Claudia / Padoan, Andrea / Carobene, Anna / Guerranti, Roberto

    Clinical chemistry and laboratory medicine

    2022  Volume 60, Issue 12, Page(s) 2017–2026

    Abstract: Objectives: The Italian Society of Clinical Biochemistry and Clinical Molecular Biology (SIBioC) Big Data and Artificial Intelligence (BAI) Working Group promoted a survey to frame the knowledge, skills and technological predisposition in clinical ... ...

    Abstract Objectives: The Italian Society of Clinical Biochemistry and Clinical Molecular Biology (SIBioC) Big Data and Artificial Intelligence (BAI) Working Group promoted a survey to frame the knowledge, skills and technological predisposition in clinical laboratories.
    Methods: A questionnaire, focussing on digitization, information technology (IT) infrastructures, data accessibility, and BAI projects underway was sent to 1,351 SIBioC participants. The responses were evaluated using SurveyMonkey software and Google Sheets.
    Results: The 227 respondents (17%) from all over Italy (47% of 484 labs), mainly biologists, laboratory physicians and managers, mostly from laboratories of public hospitals, revealed lack of hardware, software and corporate Wi-Fi, and dearth of PCs. Only 25% work daily on clouds, while 65%-including Laboratory Directors-cannot acquire health data from sources other than laboratories. Only 50% of those with access can review a clinical patient's health record, while the other access only to laboratory information. The integration of laboratory data with other health data is mostly incomplete, which limits BAI-type analysis. Many are unaware of integration platforms. Over 90% report pulling data from the Laboratory Information System, with varying degrees of autonomy. Very few have already undertaken BAI projects, frequently relying on IT partnerships. The majority consider BAI as crucial in helping professional judgements, indicating a growing interest.
    Conclusions: The questionnaire received relevant feedback from SIBioC participants. It highlighted the level of expertise and interest in BAI applications. None of the obstacles stands out more than the others, emphasising the need to all-around work: IT infrastructures, data warehouses, BAI analysis software acquisition, data accessibility and training.
    MeSH term(s) Humans ; Big Data ; Artificial Intelligence ; Laboratories, Clinical ; Surveys and Questionnaires ; Clinical Laboratory Services ; Laboratories
    Language English
    Publishing date 2022-09-06
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1418007-8
    ISSN 1437-4331 ; 1434-6621 ; 1437-8523
    ISSN (online) 1437-4331
    ISSN 1434-6621 ; 1437-8523
    DOI 10.1515/cclm-2022-0680
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 121: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  3. Article ; Online: A computer model for professional competence assessment according to ISO 15189.

    Bellini, Claudia / Cinci, Francesca / Scapellato, Carlo / Guerranti, Roberto

    Clinical chemistry and laboratory medicine

    2020  Volume 58, Issue 8, Page(s) 1242–1249

    Abstract: Background As defined by ISO 15189 competence is the "demonstrated ability to apply knowledge and skills" thus, its assessment is fundamental for ensuring the quality of the total testing process in order to reduce the risk for the patient. We have ... ...

    Abstract Background As defined by ISO 15189 competence is the "demonstrated ability to apply knowledge and skills" thus, its assessment is fundamental for ensuring the quality of the total testing process in order to reduce the risk for the patient. We have developed a functional software for the measurement of professional competences in order to standardize the procedure and to collect all the data in a single platform, avoiding redundancy and dispersion. Methods Our model objectively assesses the skills, as they become measurable and comparable with appropriate standards and involves both managers and operators, to increase their active engagement. The assessment concerns everyone, but the standards to be met (numerical values) can vary according to the responsibilities. Several subjective and objective criteria are evaluated: each parameter can contribute in a variable proportion to the total skills measured according to the needs of the organization. Results The data are automatically analyzed and can be easily monitored in real time in the form of indicators, thanks to dashboards. The comparison between the skills required and those measured allows highlighting the gap useful for planning personalized training paths. Conclusions Our tool is reliable and highly adaptable to laboratories about competences to track criteria, standards and monitored indicators. The computerized management is a strategic action as it fulfills the requirements of registration, traceability, communication, data analysis and indicators development, which are the tenets of continuous improvement, and allows planning to be made on the basis of the actual training needs.
    MeSH term(s) Computer Simulation ; Humans ; Inservice Training ; Laboratory Personnel/standards ; Professional Competence/standards
    Language English
    Publishing date 2020-01-20
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1418007-8
    ISSN 1437-4331 ; 1434-6621 ; 1437-8523
    ISSN (online) 1437-4331
    ISSN 1434-6621 ; 1437-8523
    DOI 10.1515/cclm-2019-1018
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 121: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  4. Article ; Online: Methodology to Evaluate Clinical Impact of 0/3 Hour High-Sensitivity Cardiac Troponin T Protocol on Managing Acute Coronary Syndrome in Daily Emergency Department Practice.

    Bellini, Claudia / Cinci, Francesca / Bova, Giovanni / Mascarucci, Monica / Leoncini, Roberto / Scapellato, Carlo / Guerranti, Roberto

    Laboratory medicine

    2021  Volume 52, Issue 5, Page(s) 452–459

    Abstract: Objective: Sex-/age-differentiated cutoffs and the magnitude of serial changes in high-sensitivity cardiac troponins (hs-cTn) for acute coronary syndrome (ACS) diagnosis algorithms are still under discussion. This study presents a methodology to ... ...

    Abstract Objective: Sex-/age-differentiated cutoffs and the magnitude of serial changes in high-sensitivity cardiac troponins (hs-cTn) for acute coronary syndrome (ACS) diagnosis algorithms are still under discussion. This study presents a methodology to evaluate decision-making limits and to assess whether sex-specific cutoffs could improve diagnostic accuracy.
    Methods: A high-sensitivity cardiac troponin T (hs-cTnT) 0-/3-hour protocol was adopted, applying the 2015 European Society of Cardiology Guidelines. Decision-making limits (99th percentile: 14 ng/L; delta change ≥ 30%) were agreed upon with the emergency department (ED) at the University Hospital of Siena in Siena, Italy. One-year requests (5177) for hs-cTnT serial determination were compared with the final International Classification of Diseases, 9th revision, clinical modifications diagnosis (contingency tables; receiver operating characteristic curves).
    Results: The algorithm's capability to exclude or confirm ACS was verified by remarkable negative predictive value (97%) and high areas under the curve for the first troponin sampling (0.712), troponin sampling at 3 hours (0.789), and delta (0.744). The clinical utility for the general population-even those with comorbidities-accessing the ED was verified. Our data did not support a sex-differentiated cutoff utility because it would not have affected patient management.
    Conclusion: This methodology allowed us to confirm the effectiveness of our decision-making limits.
    MeSH term(s) Acute Coronary Syndrome/diagnosis ; Biomarkers ; Emergency Service, Hospital ; Female ; Humans ; Male ; Myocardial Infarction ; Troponin ; Troponin T
    Chemical Substances Biomarkers ; Troponin ; Troponin T
    Language English
    Publishing date 2021-05-17
    Publishing country England
    Document type Journal Article
    ZDB-ID 391758-7
    ISSN 1943-7730 ; 0007-5027
    ISSN (online) 1943-7730
    ISSN 0007-5027
    DOI 10.1093/labmed/lmaa118
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 1013: Show issues Location:
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  5. Article ; Online: Defining and Managing the Preanalytical Phase With FMECA: Automation and/or "Human" Control.

    Bellini, Claudia / Guerranti, Roberto / Cinci, Francesca / Milletti, Eva / Scapellato, Carlo

    Human factors

    2019  Volume 62, Issue 1, Page(s) 20–36

    Abstract: Objective: Our scope is to provide methodological elements on how to manage effectively the preanalytical phase in the laboratory testing process, by objectively measuring the risk connected to the phases handled by man with respect to those managed by ... ...

    Abstract Objective: Our scope is to provide methodological elements on how to manage effectively the preanalytical phase in the laboratory testing process, by objectively measuring the risk connected to the phases handled by man with respect to those managed by machines.
    Background: Preanalytical errors account for most of the mistakes related to laboratory testing and can affect patient care. Hence, it is necessary to manage the risk connected to the preanalytical phase, as required by certification and accreditation bodies. The risk assessment discloses the steps at greater risk and gives indications to make decisions.
    Method: We have reviewed the state of art in the automation of the preanalytical phase, addressing needs and problems. We have used the proactive risk assessment methodology FMECA (Failure Mode, Effects, and Criticality Analysis) to identify the most critical phases in our preanalytical process and have calculated the risk associated.
    Results: The most critical phases were the human controlled ones. In particular, the highest risk indexes were associated to manual acceptance of test orders, identification of the patients, tube labeling, and sample collection.
    Conclusion: Automation in the preanalytical phase is fundamental to replace, support, or extend the human contribution. Nevertheless each organization is different about workloads and competencies, so the most suitable management must be tailor-made in each context.
    Application: We present a method by which each organization is able to find its best balance between automation and human contribution in the control of the preanalytical phase.
    MeSH term(s) Automation ; Diagnostic Errors ; Humans ; Medical Informatics ; Medical Laboratory Personnel ; Patient Safety ; Pre-Analytical Phase ; Process Assessment, Health Care ; Risk Assessment
    Language English
    Publishing date 2019-09-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 212725-8
    ISSN 1547-8181 ; 0018-7208
    ISSN (online) 1547-8181
    ISSN 0018-7208
    DOI 10.1177/0018720819874906
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 818: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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