Sökning: "Business intelligence in healthcare"

Visar resultat 1 - 5 av 20 uppsatser innehållade orden Business intelligence in healthcare.

  1. 1. Challenges for Artificially Intelligent Medical Devices in the Nordics and Suggested Strategies to Respond

    Master-uppsats, Lunds universitet/Innovationsteknik

    Författare :Alva Rampe; Linea Holström; [2024]
    Nyckelord :Artificial Intelligence; Medical Device; HealthTech; Innovation Barriers; Technology and Engineering;

    Sammanfattning : With aging populations, unequal access to care, and shortages of staff, healthcare systems today are facing many challenges. Technology advancements, with artificial intelligence (AI) in particular, have been one of the main drivers of innovation in multiple industries. LÄS MER

  3. 2. Judgment and Data-Driven Decision Making : A scoping meta-review and bibliometric analysis of the implementations of data-driven approaches to judgment and decision making and across other fields of research

    Master-uppsats, Linnéuniversitetet/Institutionen för psykologi (PSY)

    Författare :Natalie Hyltse; [2023]
    Nyckelord :scoping review; meta-review; bibliometrics; interdisciplinary research; judgment and decision making JDM ; data-driven decision making DDDM ;

    Sammanfattning : Data-driven approaches to decision making are today applied far and wide. With origins in the field of judgment and decision making (JDM), data-driven decision making (DDDM) has become an emergent topic within I-O psychology, especially within the fields of people analytics and human resource analytics. LÄS MER

  4. 3. Consumer intentions towards AI in the healthcare industry

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Holly-Laura Myllyoja; Felicia Rådberg; Hanna Östmann Hanngren; [2022-08-04]
    Nyckelord :Artificial Intelligence AI ; consumer behaviour; intentions; attitude; trust; perceived usefulness; anthropomorphism; privacy concerns; data transparency;

    Sammanfattning : Two major challenges for the healthcare industry are to reduce misdiagnosis of patients and to become more efficient in everyday practice. The lack of efficiency became extremely apparent by the pressure on healthcare workers caused by the COVID-19 pandemic. This could be assisted with new technologies. LÄS MER

  5. 4. AI-enabled Business Model Innovation for the Healthcare Industry

    Master-uppsats, KTH/Industriell ekonomi och organisation (Inst.)

    Författare :Natalie Aleksić; Anna Vidina; [2022]
    Nyckelord :Artificial Intelligence; Business Model; Business Model Innovation; Healthcare Industry; Artificiell intelligens; Affärsmodell; Affärsmodellinovation; Hälso- och sjukvårdsbranschen;

    Sammanfattning : Recent developments in the field of Artificial Intelligence (AI) drive businesses to introduce digitally advanced products, services, processes, and mechanisms to various markets (Krauset al. 2022; Parida et al. 2019). In this manner, the healthcare sector proves as a propitious industry for successful AI-application (Jiang et al. LÄS MER

  7. 5. Acceptance of AI technology for lung cancer screening diagnosis: Unpacking the factors affecting the radiologists’ acceptance of AI

    Magister-uppsats, Lunds universitet/Institutionen för informatik

    Författare :Jan Niklas Harder; Joachim Felix Massberg; [2022]
    Nyckelord :User Perspective; Health Information Technology; Technology Acceptance Model; Task-Technology Fit; Lung Cancer Screening; Artificial Intelligence; Technology and Engineering; Business and Economics;

    Sammanfattning : Lung cancer is the leading cause of cancer death. Much benefit can be found in national screening programs to diagnose cancer early and reduce mortality and such is about to be introduced in Germany. However, the process of screening diagnosis is very time-intensive for radiologists and the workload is not feasible without further support. LÄS MER