Artificial intelligence in healthcare
Opportunities and risk for future
Bibliographic Data
| ID | 21482299 |
|---|---|
| Authors | Sri Sunarti (0000-0003-2968-8278, Universitas Muhammadiyah Kalimantan Timur), Ferry Fadzlul Rahman (0000-0002-6628-315X, Asia University, corresponding author), Muhammad Naufal, Muhammad A Naufal (Universitas Muhammadiyah Kalimantan Timur), Muhammad Risky (Universitas Muhammadiyah Kalimantan Timur), Kresna Febriyanto (0000-0002-5657-1799, Universitas Muhammadiyah Kalimantan Timur), Rusni Masnina (0000-0002-3041-2837, Universitas Islam Kalimantan Muhammad Arsyad Al Banjary) |
| Year | 2021 |
| Volume | 35 |
| Pages | S67-S70 |
| Publication date | 2021-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Gaceta Sanitaria (JOURNAL) |
| Journal identifiers | ISSN: 0213-9111 • E-ISSN: 1578-1283 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.gaceta.2020.12.019 |
| PMID | 33832631 |
| OpenAlex | W3145891727 |
| Language | EN |
| Citations received | 11 |
| References cited | 14 |
OBJECTIVE: This study aimed to find out the opportunity of artificial intelligence (AI) and the risk in health service. METHOD: A comprehensive literature search was collected from three databases (Web of Science, Google Scholar, and EBSCOhost) to identify articles studied Implementing AI in improving in health services. Two reviewers independently assessed the quality of studies using the Joanna Briggs Institute. RESULTS: The application will improve diagnostics, prevention, and treatment of patients, increasing cost efficiency and equality and equality in health services. For the challenge, there is no AI adoption in public sector, patients' privacy, patient autonomy rights become problems in AI applications. CONCLUSIONS: Implementation of AI is needed in the efficiency of health service management as well as making medical decisions. The challenge is facilitating early adoption and ongoing implementation in the health care system, and we consider some of the ethical problem lists faced by AI clinical application
Autonomy · Business · Health care · Knowledge management · MEDLINE · Political science · Public health · Artificial Intelligence in Healthcare and Education · Computer Science · Digital Mental Health Interventions · Electronic Health Records Systems · Medicine · Nursing · Marketing
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| Unique citing works | 11 |
|---|---|
| Citations per year | 2,75 |
| Citation span | 2022 - 2025 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 11 |