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  1. Book ; Online ; E-Book: Clinical engineering handbook

    Iadanza, Ernesto

    2020  

    Author's details editor-in-chief Ernesto Iadanza
    Keywords Electronic books
    Language English
    Size 1 Online-Ressource (xlvi, 911 Seiten), Illustrationen, Diagramme
    Edition Second edition
    Publisher Elsevier Academic Press
    Publishing place London
    Publishing country Great Britain
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020444458
    ISBN 978-0-12-813468-9 ; 9780128134672 ; 0-12-813468-2 ; 0128134674
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Hypertension Diagnosis and Management in Africa Using Mobile Phones: A Scoping Review.

    Oronti, Iyabosola B / Iadanza, Ernesto / Pecchia, Leandro

    IEEE reviews in biomedical engineering

    2024  Volume 17, Page(s) 197–211

    Abstract: Target 3.4 of the third Sustainable Development Goal (SDG) of the United Nations (UN) General Assembly proposes to reduce premature mortality from non-communicable diseases (NCDs) by one-third. Epidemiological data presented by the World Health ... ...

    Abstract Target 3.4 of the third Sustainable Development Goal (SDG) of the United Nations (UN) General Assembly proposes to reduce premature mortality from non-communicable diseases (NCDs) by one-third. Epidemiological data presented by the World Health Organization (WHO) in 2016 show that out of a total of 57 million deaths worldwide, approximately 41 million deaths occurred due to NCDs, with 78% of such deaths occurring in low-and-middle-income countries (LMICs). The majority of investigations on NCDs agree that the leading risk factor for mortality worldwide is hypertension. Over 75% of the world's mobile phone subscriptions reside in LMICs, hence making the mobile phone particularly relevant to mHealth deployment in Africa. This study is aimed at determining the scope of the literature available on hypertension diagnosis and management in Africa, with particular emphasis on determining the feasibility, acceptability and effectiveness of interventions based on the use of mobile phones. The bulk of the evidence considered overwhelmingly shows that SMS technology is yet the most used medium for executing interventions in Africa. Consequently, the need to define novel and superior ways of providing effective and low-cost monitoring, diagnosis, and management of hypertension-related NCDs delivered through artificial intelligence and machine learning techniques is clear.
    MeSH term(s) Humans ; Artificial Intelligence ; Cell Phone ; Hypertension/diagnosis ; Telemedicine ; Africa ; Noncommunicable Diseases
    Language English
    Publishing date 2024-01-12
    Publishing country United States
    Document type Review ; Journal Article
    ISSN 1941-1189
    ISSN (online) 1941-1189
    DOI 10.1109/RBME.2022.3186828
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Evidence-based clinical engineering: Health information technology adverse events identification and classification with natural language processing.

    Luschi, Alessio / Nesi, Paolo / Iadanza, Ernesto

    Heliyon

    2023  Volume 9, Issue 11, Page(s) e21723

    Abstract: The primary goal of this project is to create a framework to extract Real-World Evidence to support Health Technology Assessment, Health Technology Management, Evidence-Based Maintenance, and Post Market Surveillance (as outlined in the EU Medical Device ...

    Abstract The primary goal of this project is to create a framework to extract Real-World Evidence to support Health Technology Assessment, Health Technology Management, Evidence-Based Maintenance, and Post Market Surveillance (as outlined in the EU Medical Device Regulation 2017/745) of medical devices using Natural Language Processing (NLP) and Artificial Intelligence. An initial literature review on Spontaneous Reporting System databases, Health Information Technologies (HIT) fault classification, and Natural Language Processing has been conducted, from which it clearly emerges that adverse events related to HIT are increasing over time. The proposed framework uses NLP techniques and Explainable Artificial Intelligence models to automatically identify HIT-related adverse event reports. The designed model employs a pre-trained version of ClinicalBERT that has been fine-tuned and tested on 3,075 adverse event reports extracted from the FDA MAUDE database and manually labelled by experts.
    Language English
    Publishing date 2023-10-31
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e21723
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Radio Frequency Identification (RFID) in health care: where are we? A scoping review.

    Profetto, Laura / Gherardelli, Monica / Iadanza, Ernesto

    Health and technology

    2022  Volume 12, Issue 5, Page(s) 879–891

    Language English
    Publishing date 2022-08-23
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 2581463-1
    ISSN 2190-7196 ; 2190-7188
    ISSN (online) 2190-7196
    ISSN 2190-7188
    DOI 10.1007/s12553-022-00696-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Designing and developing a mobile application for indoor real-time positioning and navigation in healthcare facilities.

    Luschi, Alessio / Villa, Eleonora Annamaria Borsani / Gherardelli, Monica / Iadanza, Ernesto

    Technology and health care : official journal of the European Society for Engineering and Medicine

    2022  Volume 30, Issue 6, Page(s) 1371–1395

    Abstract: Background: Navigation portable applications have largely grown during the last years. However, the majority of them works just for outdoor positioning and routing, due to their architecture based upon Global Positioning System signals. Real-Time ... ...

    Abstract Background: Navigation portable applications have largely grown during the last years. However, the majority of them works just for outdoor positioning and routing, due to their architecture based upon Global Positioning System signals. Real-Time Positioning System intended to provide position estimation inside buildings is known as Indoor Positioning System (IPS).
    Objective: This paper presents an IPS implemented as a mobile application that can guide patients and visitors throughout a healthcare premise.
    Methods: The proposed system exploits the geolocation capabilities offered by existing navigation frameworks for determining and displaying the user's position. A hybrid mobile application architecture has been adopted because it allows to deploy the code to multiple platforms, simplifying maintenance and upgrading.
    Results: The developed application features two different working modes for on-site and off-site navigation, which offer both the possibility of actual navigation within the hospital, or planning a route from a list of available starting points to the desired target, without being within the navigable area. Tests have been conducted to evaluate the performance and the accuracy of the system.
    Conclusion: The proposed application aims to overcome the limitations of Global Navigation Satellite System by using magnetic fingerprinting in combination with sensor fusion simultaneously. This prevents to rely on a single technology, reducing possible system failures and increasing the scalability.
    MeSH term(s) Humans ; Mobile Applications ; Algorithms ; Geographic Information Systems ; Computer Systems ; Delivery of Health Care
    Language English
    Publishing date 2022-08-15
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1159961-3
    ISSN 1878-7401 ; 0928-7329
    ISSN (online) 1878-7401
    ISSN 0928-7329
    DOI 10.3233/THC-220146
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: A robotic arm for safe and accurate control of biomedical equipment during COVID-19.

    Iadanza, Ernesto / Pasqua, Giammarco / Piaggio, Davide / Caputo, Corrado / Gherardelli, Monica / Pecchia, Leandro

    Health and technology

    2023  Volume 13, Issue 2, Page(s) 285–300

    Abstract: Purpose: Hospital facilities and social life, along with the global economy, have been severely challenged by COVID-19 since the World Health Organization (WHO) declared it a pandemic in March 2020. Since then, countless ordinary citizens, as well as ... ...

    Abstract Purpose: Hospital facilities and social life, along with the global economy, have been severely challenged by COVID-19 since the World Health Organization (WHO) declared it a pandemic in March 2020. Since then, countless ordinary citizens, as well as healthcare workers, have contracted the virus by just coming into contact with infected surfaces. In order to minimise the risk of getting infected by contact with such surfaces, our study aims to design, prototype, and test a new device able to connect users, such as common citizens, doctors or paramedics, with either common-use interfaces (e.g., lift and snack machine keyboards, traffic light push-buttons) or medical-use interfaces (e.g., any medical equipment keypad).
    Method: To this purpose, the device was designed with the help of Unified Modelling Language (UML) schemes, and was informed by a risk analysis, that highlighted some of its essential requirements and specifications. Consequently, the chosen constructive solution of the robotic system, i.e., a robotic-arm structure, was designed and manufactured using computer-aided design and 3D printing.
    Result: The final prototype included a properly programmed micro-controller, linked via Bluetooth to a multi-platform mobile phone app, which represents the user interface. The system was then successfully tested on different physical keypads and touch screens. Better performance of the system can be foreseen by introducing improvements in the industrial production phase.
    Conclusion: This first prototype paves the way for further research in this area, allowing for better management and preparedness of next pandemic emergencies.
    Language English
    Publishing date 2023-01-05
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2581463-1
    ISSN 2190-7196 ; 2190-7188
    ISSN (online) 2190-7196
    ISSN 2190-7188
    DOI 10.1007/s12553-022-00715-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Ankyloglossia in newborns: incidence and breastfeeding follow-up at 1 and 6 months.

    Bellieni, Carlo V / LA Gioia, Ivana / Calcagna, Irene / Cartocci, Alessandra / DE Stefano, Lorenzo / Iadanza, Ernesto

    Minerva pediatrics

    2024  

    Abstract: Background: Ankyloglossia is an anatomical variation of the lingual frenulum that negatively interferes with the functionality of the tongue. This condition can affect breastfeeding negatively. The aim of this study is to assess the prevalence of ... ...

    Abstract Background: Ankyloglossia is an anatomical variation of the lingual frenulum that negatively interferes with the functionality of the tongue. This condition can affect breastfeeding negatively. The aim of this study is to assess the prevalence of ankyloglossia among healthy babies born in Siena Hospital and the correlation between ankyloglossia and breastfeeding difficulties.
    Methods: We performed an observational prospective study conducted on healthy and breastfed newborns born in Siena Hospital in the period between January and June 2022. The evaluation of lingual frenulum in the first few days of life was performed by Martinelli's Lingual Frenulum Protocol with scores for Infants (MLFPI), while the clinical assessment of breastfeeding initiation was performed by the Breastfeeding Observation and Evaluation Form according to WHO-UNICEF guidelines. We also compared the reliability in predicting breastfeeding of a tool that measured the features of the tongue frenulum: the Bristol Tongue Assessment Tool (BTT). Breastfeeding at one and six months of babies' age was assessed by telephone interview, and information among children's nutrition, weight growth and difficulties found in breastfeeding was also collected. This study was approved by the Pediatric Ethics Committee for Clinical Trials of the Tuscany Region.
    Results: One hundred and ninety infants were included in the study; 21 (11.05%) had a MLFPI score ≥13. Data at one month of age showed a statistically higher MLFPI score (P value <0.001) in babies with breastfeeding difficulties (median score 13.0, IQR 5.5-14), than in those without (median score 5.0, IQR 2.0-7.5). Data at 6 months of age showed a similar difference in babies with and without breastfeeding difficulties (median 12.0, IQR 4.0-14.0 vs. 5.0, IQR 2.0-8.0 respectively). A MLFPI score ≥13 is positively associated with breastfeeding difficulties at 1 and 6 months. Also, the BTT was positively a risk factor for problems in breastfeeding at 1 and 6 months.
    Conclusions: A high MLFPI score is a risk factor of breastfeeding difficulties. In these cases, a referral to experienced personnel is advisable: they can provide the emotional and professional support to the mother-child dyad, and/or refer for surgical evaluation and frenotomy. In our cohort, the usefulness of either MLFPI score or BTT was evident in predicting breastfeeding difficulties; the rate of surgical removal of the frenulum was nonetheless low.
    Language English
    Publishing date 2024-03-26
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 3062664-X
    ISSN 2724-5780
    ISSN (online) 2724-5780
    DOI 10.23736/S2724-5276.23.07357-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Artificial intelligence for non-invasive glycaemic-events detection via ECG in a paediatric population: study protocol.

    Andellini, Martina / Haleem, Salman / Angelini, Massimiliano / Ritrovato, Matteo / Schiaffini, Riccardo / Iadanza, Ernesto / Pecchia, Leandro

    Health and technology

    2023  Volume 13, Issue 1, Page(s) 145–154

    Abstract: Purpose: Paediatric Type 1 Diabetes (T1D) patients are at greater risk for developing severe hypo and hyperglycaemic events due to poor glycaemic control. To reduce the risk of adverse events, patients need to achieve the best possible glycaemic ... ...

    Abstract Purpose: Paediatric Type 1 Diabetes (T1D) patients are at greater risk for developing severe hypo and hyperglycaemic events due to poor glycaemic control. To reduce the risk of adverse events, patients need to achieve the best possible glycaemic management through frequent blood glucose monitoring with finger prick or Continuous Glucose Monitoring (CGM) systems. However, several non-invasive techniques have been proposed aiming at exploiting changes in physiological parameters based on glucose levels. The overall objective of this study is to validate an artificial intelligence (AI) based algorithm to detect glycaemic events using ECG signals collected through non-invasive device.
    Methods: This study will enrol T1D paediatric participants who already use CGM. Participants will wear an additional non-invasive wearable device for recording physiological data and respiratory rate. Glycaemic measurements driven through ECG variables are the main outcomes. Data collected will be used to design, develop and validate the personalised and generalized classifiers based on a deep learning (DL) AI algorithm, able to automatically detect hypoglycaemic events by using few ECG heartbeats recorded with wearable devices.
    Results: Data collection is expected to be completed approximately by June 2023. It is expected that sufficient data will be collected to develop and validate the AI algorithm.
    Conclusion: This is a validation study that will perform additional tests on a larger diabetes sample population to validate the previous pilot results that were based on four healthy adults, providing evidence on the reliability of the AI algorithm in detecting glycaemic events in paediatric diabetic patients in free-living conditions.
    Trial registration: ClinicalTrials.gov identifier: NCT03936634. Registered on 11 March 2022, retrospectively registered, https://www.clinicaltrials.gov/ct2/show/NCT05278143?titles=AI+for+Glycemic+Events+Detection+Via+ECG+in+a+Pediatric+Population&draw=2&rank=1.
    Supplementary information: The online version contains supplementary material available at 10.1007/s12553-022-00719-x.
    Language English
    Publishing date 2023-01-23
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2581463-1
    ISSN 2190-7196 ; 2190-7188
    ISSN (online) 2190-7196
    ISSN 2190-7188
    DOI 10.1007/s12553-022-00719-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Evidence-based medical equipment management: a convenient implementation.

    Iadanza, Ernesto / Gonnelli, Valentina / Satta, Francesca / Gherardelli, Monica

    Medical & biological engineering & computing

    2019  Volume 57, Issue 10, Page(s) 2215–2230

    Abstract: Maintenance is a crucial subject in medical equipment life cycle management. Evidence-based maintenance consists of the continuous performance monitoring of equipment, starting from the evidence-the current state in terms of failure history-and ... ...

    Abstract Maintenance is a crucial subject in medical equipment life cycle management. Evidence-based maintenance consists of the continuous performance monitoring of equipment, starting from the evidence-the current state in terms of failure history-and improvement of its effectiveness by making the required changes. This process is very important for optimizing the use and allocation of the available resources by clinical engineering departments. Medical equipment maintenance is composed of two basic activities: scheduled maintenance and corrective maintenance. Both are needed for the management of the entire set of medical equipment in a hospital. Because the classification of maintenance service work orders reveals specific issues related to frequent problems and failures, specific codes have been applied to classify the corrective and scheduled maintenance work orders at Careggi University Hospital (Florence, Italy). In this study, a novel set of key performance indicators is also proposed for evaluating medical equipment maintenance performance. The purpose of this research is to combine these two evidence-based methods to assess every aspect of the maintenance process and provide an objective and standardized approach that will support and enhance clinical engineering activities. Starting from the evidence (i.e. failures), the results show that the combination of these two methods can provide a periodical cross-analysis of maintenance performance that indicates the most appropriate procedures. Graphical abstract The left side shows a block diagram of the process needed to calculate the proposed set of KPIs, starting from technological, organizational and financial data. On the upper right it is shown an example of scheduled maintenance analysis for a specific class of equipment (legend in the article body). The bottom right part shows how the KPIs can be implemented in a business intelligence dashboard.
    MeSH term(s) Biomedical Engineering ; Equipment and Supplies/economics ; Maintenance ; Telemetry
    Language English
    Publishing date 2019-08-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 282327-5
    ISSN 1741-0444 ; 0025-696X ; 0140-0118
    ISSN (online) 1741-0444
    ISSN 0025-696X ; 0140-0118
    DOI 10.1007/s11517-019-02021-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: The Inadequacy of Regulatory Frameworks in Time of Crisis and in Low-Resource Settings: Personal Protective Equipment and COVID-19.

    Pecchia, Leandro / Piaggio, Davide / Maccaro, Alessia / Formisano, Claudio / Iadanza, Ernesto

    Health and technology

    2020  Volume 10, Issue 6, Page(s) 1375–1383

    Abstract: COVID-19 pandemic is plaguing the world and representing the most significant stress test for many national healthcare systems and services, since their foundation. The supply-chain disruption and the unprecedented request for intensive care unit (ICU) ... ...

    Abstract COVID-19 pandemic is plaguing the world and representing the most significant stress test for many national healthcare systems and services, since their foundation. The supply-chain disruption and the unprecedented request for intensive care unit (ICU) beds have created in Europe conditions typical of low-resources settings. This generated a remarkable race to find solutions for the prevention, treatment and management of this disease which is involving a large amount of people. Every day, new Do-It-Yourself (DIY) solutions regarding personal protective equipment and medical devices populate social media feeds. Many companies (e.g., automotive or textile) are converting their traditional production to manufacture the most needed equipment (e.g., respirators, face shields, ventilators etc.). In this chaotic scenario, policy makers, international and national standards bodies, along with the World Health Organization (WHO) and scientific societies are making a joint effort to increase global awareness and knowledge about the importance of respecting the relevant requirements to guarantee appropriate quality and safety for patients and healthcare workers. Nonetheless, ordinary procedures for testing and certification are currently questioned and empowered with fast-track pathways in order to speed-up the deployment of new solutions for COVID-19. This paper shares critical reflections on the current regulatory framework for the certification of personal protective equipment. We hope that these reflections may help readers in navigating the framework of regulations, norms and international standards relevant for key personal protective equipment, sharing a subset of tests that should be deemed essential even in a period of crisis.
    Keywords covid19
    Language English
    Publishing date 2020-05-02
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2581463-1
    ISSN 2190-7196 ; 2190-7188
    ISSN (online) 2190-7196
    ISSN 2190-7188
    DOI 10.1007/s12553-020-00429-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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