The potential for artificial intelligence to transform healthcare : perspectives from international health leaders
© 2024. The Author(s)..
Artificial intelligence (AI) has the potential to transform care delivery by improving health outcomes, patient safety, and the affordability and accessibility of high-quality care. AI will be critical to building an infrastructure capable of caring for an increasingly aging population, utilizing an ever-increasing knowledge of disease and options for precision treatments, and combatting workforce shortages and burnout of medical professionals. However, we are not currently on track to create this future. This is in part because the health data needed to train, test, use, and surveil these tools are generally neither standardized nor accessible. There is also universal concern about the ability to monitor health AI tools for changes in performance as they are implemented in new places, used with diverse populations, and over time as health data may change. The Future of Health (FOH), an international community of senior health care leaders, collaborated with the Duke-Margolis Institute for Health Policy to conduct a literature review, expert convening, and consensus-building exercise around this topic. This commentary summarizes the four priority action areas and recommendations for health care organizations and policymakers across the globe that FOH members identified as important for fully realizing AI's potential in health care: improving data quality to power AI, building infrastructure to encourage efficient and trustworthy development and evaluations, sharing data for better AI, and providing incentives to accelerate the progress and impact of AI.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2024 |
|---|---|
| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:7 |
|---|---|
| Enthalten in: |
NPJ digital medicine - 7(2024), 1 vom: 09. Apr., Seite 88 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Silcox, Christina [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Revised 25.04.2024 published: Electronic Citation Status PubMed-not-MEDLINE |
|---|
| doi: |
10.1038/s41746-024-01097-6 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM370838181 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM370838181 | ||
| 003 | DE-627 | ||
| 005 | 20240425233654.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240410s2024 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1038/s41746-024-01097-6 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1386.xml |
| 035 | |a (DE-627)NLM370838181 | ||
| 035 | |a (NLM)38594477 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Silcox, Christina |e verfasserin |4 aut | |
| 245 | 1 | 4 | |a The potential for artificial intelligence to transform healthcare |b perspectives from international health leaders |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Revised 25.04.2024 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a © 2024. The Author(s). | ||
| 520 | |a Artificial intelligence (AI) has the potential to transform care delivery by improving health outcomes, patient safety, and the affordability and accessibility of high-quality care. AI will be critical to building an infrastructure capable of caring for an increasingly aging population, utilizing an ever-increasing knowledge of disease and options for precision treatments, and combatting workforce shortages and burnout of medical professionals. However, we are not currently on track to create this future. This is in part because the health data needed to train, test, use, and surveil these tools are generally neither standardized nor accessible. There is also universal concern about the ability to monitor health AI tools for changes in performance as they are implemented in new places, used with diverse populations, and over time as health data may change. The Future of Health (FOH), an international community of senior health care leaders, collaborated with the Duke-Margolis Institute for Health Policy to conduct a literature review, expert convening, and consensus-building exercise around this topic. This commentary summarizes the four priority action areas and recommendations for health care organizations and policymakers across the globe that FOH members identified as important for fully realizing AI's potential in health care: improving data quality to power AI, building infrastructure to encourage efficient and trustworthy development and evaluations, sharing data for better AI, and providing incentives to accelerate the progress and impact of AI | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Review | |
| 700 | 1 | |a Zimlichmann, Eyal |e verfasserin |4 aut | |
| 700 | 1 | |a Huber, Katie |e verfasserin |4 aut | |
| 700 | 1 | |a Rowen, Neil |e verfasserin |4 aut | |
| 700 | 1 | |a Saunders, Robert |e verfasserin |4 aut | |
| 700 | 1 | |a McClellan, Mark |e verfasserin |4 aut | |
| 700 | 1 | |a Kahn, Charles N |c 3rd |e verfasserin |4 aut | |
| 700 | 1 | |a Salzberg, Claudia A |e verfasserin |4 aut | |
| 700 | 1 | |a Bates, David W |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t NPJ digital medicine |d 2018 |g 7(2024), 1 vom: 09. Apr., Seite 88 |w (DE-627)NLM293151253 |x 2398-6352 |7 nnns |
| 773 | 1 | 8 | |g volume:7 |g year:2024 |g number:1 |g day:09 |g month:04 |g pages:88 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1038/s41746-024-01097-6 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 7 |j 2024 |e 1 |b 09 |c 04 |h 88 | ||