Essays about: "Patient decision support technology"

Showing result 1 - 5 of 27 essays containing the words Patient decision support technology.

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

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Tim Gisseman; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  3. 2. Machine learning assisted decision support system for image analysis of OCT

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Elias Yacoub; [2022]
    Keywords : OCT; Optical Coherence Tomography; Sahlgrenska Hospital; Sahlgrenska University Hospital; VGG16; InceptionResNet50V2; ResNet50V2; Choroidal Neovascularization; CNV; Diabetic Macular Edema; DME; drusen; Elias Yacoub; Elias; Yacoub;

    Abstract : Optical Coherence Tomography (OCT) has been around for more than 30 years and is still being continuously improved. The department of ophthalmology is a part of Sahlgrenska Hospital that heavily uses OCT for helping people with the treatment of eye diseases. READ MORE

  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.

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

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

    Abstract : 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. READ MORE

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

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

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

    Abstract : 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. READ MORE

  6. 5. HOPE Platform Digital Toolfor Type 2 Diabetes : Supporting Newly Diagnosed Patients in Self-Care

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Ylva Engdahl; [2021]
    Keywords : Type 2 diabetes; diabetes management; diabetes self-care; digital tool; HOPE platform; digitized care plan; Diabetes typ 2; diabeteshantering; egenvård för diabetes; digitalt verktyg; HOPE platform; digitaliserad vårdplan;

    Abstract : Type 2 diabetes is a chronic disease whose incidence has increased with more than 200% during the past 20 years. The increasing number of type 2 diabetes patients could result in more patients suffering from lower quality of life and life threatening complications. Furthermore, the growing need of care will increase the load on healthcare. READ MORE