Developing a delivery science for artificial intelligence in healthcare
Artificial Intelligence (AI) has generated a large amount of excitement in healthcare, mostly driven by the emergence of increasingly accurate machine learning models. However, the promise of AI delivering scalable and sustained value for patient care in the real world setting has yet to be realized...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2020-08-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-020-00318-y |
| _version_ | 1797643054756134912 |
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| author | Ron C. Li Steven M. Asch Nigam H. Shah |
| author_facet | Ron C. Li Steven M. Asch Nigam H. Shah |
| author_sort | Ron C. Li |
| collection | DOAJ |
| description | Artificial Intelligence (AI) has generated a large amount of excitement in healthcare, mostly driven by the emergence of increasingly accurate machine learning models. However, the promise of AI delivering scalable and sustained value for patient care in the real world setting has yet to be realized. In order to safely and effectively bring AI into use in healthcare, there needs to be a concerted effort around not just the creation, but also the delivery of AI. This AI “delivery science” will require a broader set of tools, such as design thinking, process improvement, and implementation science, as well as a broader definition of what AI will look like in practice, which includes not just machine learning models and their predictions, but also the new systems for care delivery that they enable. The careful design, implementation, and evaluation of these AI enabled systems will be important in the effort to understand how AI can improve healthcare. |
| first_indexed | 2024-03-11T14:09:07Z |
| format | Article |
| id | doaj.art-523d82af9a9947ef9b61f322e9e2f656 |
| institution | Directory Open Access Journal |
| issn | 2398-6352 |
| language | English |
| last_indexed | 2024-03-11T14:09:07Z |
| publishDate | 2020-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj.art-523d82af9a9947ef9b61f322e9e2f6562023-11-02T00:47:03ZengNature Portfolionpj Digital Medicine2398-63522020-08-01311310.1038/s41746-020-00318-yDeveloping a delivery science for artificial intelligence in healthcareRon C. Li0Steven M. Asch1Nigam H. Shah2Division of Hospital Medicine, Department of Medicine, Stanford University School of MedicineDivision of Primary Care and Population Health, Department of Medicine, Stanford University School of MedicineCenter for Biomedical Informatics Research, Department of Medicine, Stanford University School of MedicineArtificial Intelligence (AI) has generated a large amount of excitement in healthcare, mostly driven by the emergence of increasingly accurate machine learning models. However, the promise of AI delivering scalable and sustained value for patient care in the real world setting has yet to be realized. In order to safely and effectively bring AI into use in healthcare, there needs to be a concerted effort around not just the creation, but also the delivery of AI. This AI “delivery science” will require a broader set of tools, such as design thinking, process improvement, and implementation science, as well as a broader definition of what AI will look like in practice, which includes not just machine learning models and their predictions, but also the new systems for care delivery that they enable. The careful design, implementation, and evaluation of these AI enabled systems will be important in the effort to understand how AI can improve healthcare.https://doi.org/10.1038/s41746-020-00318-y |
| spellingShingle | Ron C. Li Steven M. Asch Nigam H. Shah Developing a delivery science for artificial intelligence in healthcare npj Digital Medicine |
| title | Developing a delivery science for artificial intelligence in healthcare |
| title_full | Developing a delivery science for artificial intelligence in healthcare |
| title_fullStr | Developing a delivery science for artificial intelligence in healthcare |
| title_full_unstemmed | Developing a delivery science for artificial intelligence in healthcare |
| title_short | Developing a delivery science for artificial intelligence in healthcare |
| title_sort | developing a delivery science for artificial intelligence in healthcare |
| url | https://doi.org/10.1038/s41746-020-00318-y |
| work_keys_str_mv | AT roncli developingadeliveryscienceforartificialintelligenceinhealthcare AT stevenmasch developingadeliveryscienceforartificialintelligenceinhealthcare AT nigamhshah developingadeliveryscienceforartificialintelligenceinhealthcare |