Sökning: "Clinical decision support systems"

Visar resultat 1 - 5 av 31 uppsatser innehållade orden Clinical decision support systems.

  1. 1. Exploring opportunities for improving clinical decision support systems in diabetes care consultations : A case study of public diabetes care in Sweden

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Tim Gisseman; [2023]
    Nyckelord :Diabetes Type 1; Diabetes Care; Swedish Healthcare; Clinical Decision Support; IS Success; Digitalization; Patient-Centered Care; ChatGPT; Diabetes typ 1; Diabetesvård; Svensk sjukvård; Klinisk beslutsstöd; Patientcentrerad; ChatGPT;

    Sammanfattning : This study explored the needs and challenges faced by diabetics and healthcare personnel in the context of diabetes consultations in Sweden, with the aim of identifying improvements for Clinical Decision Support Systems (CDSS). Given the global prevalence of diabetes, understanding the use and implications of CDSS in patient consultations is crucial. LÄS MER

  3. 2. Transforming Clinical Decision Support with AI

    Magister-uppsats, Lunds universitet/Institutionen för informatik

    Författare :Axel Svansson; Herman Joseph Kambugu; [2022]
    Nyckelord :Artificial Intelligence; Machine learning; Adoption; Clinical decision support systems; Healthcare; Technology and Engineering;

    Sammanfattning : Machine learning, alongside other branches of AI have entered an era of rapid growth in several industries including healthcare, creating vast opportunities to advance several aspects of clinical practice. Specific to clinical decision support, despite the immense potential benefits of incorporating machine learning into clinical decision support systems, also known as machine learning enabled clinical decision support systems, there is a gap in literature and research shows that progress of adoption is still falling behind. LÄS MER

  4. 3. Physicians' expectations of future clinical decision support systems : Exploring the expected user experience of physicians in interaction with future decision support systems: Qualitative study.

    Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Manar Wassouf; [2022]
    Nyckelord :Clinical decision support systems; physicians; User-centred design; user expectations; Anticipated user experience; qualitative study; expected experiences; system attributes;

    Sammanfattning : Research has focused heavily on the study of Clinical Decision Support Systems. However, CDS systems have generally had little impact on clinical practice. One of the most important reasons is the lack of human-computer interaction (HCI) considerations in designing these systems. LÄS MER

  5. 4. Managing Responsibility & AI in Healthcare

    Magister-uppsats, Lunds universitet/Företagsekonomiska institutionen

    Författare :Sandra Lofs Midelf; Sindhu Charan Pisipati; [2022]
    Nyckelord :artificial intelligence; responsibility gap; clinical ethics; managerial learning; Business and Economics;

    Sammanfattning : The increased use of artificial intelligence (AI) in a multitude of fields comes with many benefits but also managerial and ethical challenges. One such challenge relates to how we attribute and distribute responsibility when artificial intelligence decision support systems (AI-DSS) are part of human decision-making, also known as the “responsibility gap”. LÄS MER

  7. 5. Primary stage Lung Cancer Prediction with Natural Language Processing-based Machine Learning

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Ahmad Sadek; [2022]
    Nyckelord :Lung cancer; precision medicine; machine learning; explainable AI; Natural Language Processing NLP; patient stratification; oncology; Lungcancer; precisionsmedicin; maskininlärning; NLP; förklarbar AI; patientstratifiering; onkologi;

    Sammanfattning : Early detection reduces mortality in lung cancer, but it is also considered as a challenge for oncologists and for healthcare systems. In addition, screening modalities like CT-scans come with undesired effects, many suspected patients are wrongly diagnosed with lung cancer. LÄS MER