Role of Artificial Intelligence in Achieving Universal Health Coverage: A Mongolian Perspective

Bold, Bayarbaatar; Lkhagvajav, Zoljargal; Dorjsuren, Bayarsaikhan

doi:10.3348/kjr.2023.0668

Cited by 8 publications

(4 citation statements)

References 3 publications

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“…First, as the study was designed and conducted in alignment with the coverage provided by the National Health Insurance of the ROK, the results may not be entirely generalizable to other countries. The opinion regarding the different value elements provided by AI may vary according to the healthcare system, including the health insurance system and the sufficiency/scarcity of healthcare resources in a country [ 93 94 95 96 97 98 99 ]. Therefore, the results should be interpreted in conjunction with the healthcare system/status in a particular country.…”

Section: Discussionmentioning

confidence: 99%

Survey on Value Elements Provided by Artificial Intelligence and Their Eligibility for Insurance Coverage With an Emphasis on Patient-Centered Outcomes

Jhang,

Park,

Sul

et al. 2024

Korean J Radiol

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Objective This study aims to explore the opinions on the insurance coverage of artificial intelligence (AI), as categorized based on the distinct value elements offered by AI, with a specific focus on patient-centered outcomes (PCOs). PCOs are distinguished from traditional clinical outcomes and focus on patient-reported experiences and values such as quality of life, functionality, well-being, physical or emotional status, and convenience. Materials and Methods We classified the value elements provided by AI into four dimensions: clinical outcomes, economic aspects, organizational aspects, and non-clinical PCOs. The survey comprised three sections: 1) experiences with PCOs in evaluating AI, 2) opinions on the coverage of AI by the National Health Insurance of the Republic of Korea when AI demonstrated benefits across the four value elements, and 3) respondent characteristics. The opinions regarding AI insurance coverage were assessed dichotomously and semi-quantitatively: non-approval (0) vs. approval (on a 1–10 weight scale, with 10 indicating the strongest approval). The survey was conducted from July 4 to 26, 2023, using a web-based method. Responses to PCOs and other value elements were compared. Results Among 200 respondents, 44 (22%) were patients/patient representatives, 64 (32%) were industry/developers, 60 (30%) were medical practitioners/doctors, and 32 (16%) were government health personnel. The level of experience with PCOs regarding AI was low, with only 7% (14/200) having direct experience and 10% (20/200) having any experience (either direct or indirect). The approval rate for insurance coverage for PCOs was 74% (148/200), significantly lower than the corresponding rates for other value elements (82.5%–93.5%; P ≤ 0.034). The approval strength was significantly lower for PCOs, with a mean weight ± standard deviation of 5.1 ± 3.5, compared to other value elements ( P ≤ 0.036). Conclusion There is currently limited demand for insurance coverage for AI that demonstrates benefits in terms of non-clinical PCOs.

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Section: Discussionmentioning

confidence: 99%

Survey on Value Elements Provided by Artificial Intelligence and Their Eligibility for Insurance Coverage With an Emphasis on Patient-Centered Outcomes

Jhang,

Park,

Sul

et al. 2024

Korean J Radiol

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“…Finally, Artificial Intelligence has significantly contributed to addressing the radiology workforce shortage by improving the efficiency of radiology department workflows, image analysis, and interpretation [ 3 ]. This supports radiologists by swiftly detecting anomalies and flagging potential issues, allowing them to focus on more complex cases and reduce their workload.…”

Section: The Evolving Radiology Workforce In Mongolia: Overcoming Hur...mentioning

confidence: 99%

The Growing Problem of Radiologist Shortage: Mongolia’s Perspective

Dagvasumberel,

Bold,

Dagvasumberel

2023

Korean J Radiol

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“…In 2023, KJR published more articles focusing on perspectives and ideas within the Asian-Oceanian region than in previous years [ 41 42 43 44 45 46 47 48 49 50 51 52 53 54 ]. Given KJR ’s strong presence in the Asian-Oceanian region, I am confident that KJR , compared to other prominent radiology journals from other regions, such as America or Europe, is in a unique position, allowing it to foster the exchange of diverse perspectives and ideas within the Asian-Oceanian region and share information with a broader international readership.…”

mentioning

confidence: 99%

Noteworthy Developments in the Korean Journal of Radiology in 2023 and for 2024

Park

2024

Korean J Radiol

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Role of Artificial Intelligence in Achieving Universal Health Coverage: A Mongolian Perspective

Cited by 8 publications

References 3 publications

Survey on Value Elements Provided by Artificial Intelligence and Their Eligibility for Insurance Coverage With an Emphasis on Patient-Centered Outcomes

Survey on Value Elements Provided by Artificial Intelligence and Their Eligibility for Insurance Coverage With an Emphasis on Patient-Centered Outcomes

The Growing Problem of Radiologist Shortage: Mongolia’s Perspective

Noteworthy Developments in the Korean Journal of Radiology in 2023 and for 2024

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