Implementing large language models in healthcare while balancing control, collaboration, costs and security
Integrating Large Language Models (LLMs) into healthcare promises substantial advancements but requires careful consideration of technical, ethical, and regulatory challenges. Closed LLMs of private companies offer ease of deployment but pose risks related to data privacy and vendor dependence. Open...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-03-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01476-7 |
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| _version_ | 1849762152914616320 |
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| author | Fabio Dennstädt Janna Hastings Paul Martin Putora Max Schmerder Nikola Cihoric |
| author_facet | Fabio Dennstädt Janna Hastings Paul Martin Putora Max Schmerder Nikola Cihoric |
| author_sort | Fabio Dennstädt |
| collection | DOAJ |
| description | Integrating Large Language Models (LLMs) into healthcare promises substantial advancements but requires careful consideration of technical, ethical, and regulatory challenges. Closed LLMs of private companies offer ease of deployment but pose risks related to data privacy and vendor dependence. Open LLMs deployed on local hardware enable greater model customization but demand resources and technical expertise. Balancing these approaches, with collaboration among clinicians, researchers, and companies is crucial to ensure effective, secure, and ethical implementation. |
| format | Article |
| id | doaj-art-ff60268a9d4b40cdbc6b018c87d507e2 |
| institution | DOAJ |
| issn | 2398-6352 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj-art-ff60268a9d4b40cdbc6b018c87d507e22025-08-20T03:05:49ZengNature Portfolionpj Digital Medicine2398-63522025-03-01811410.1038/s41746-025-01476-7Implementing large language models in healthcare while balancing control, collaboration, costs and securityFabio Dennstädt0Janna Hastings1Paul Martin Putora2Max Schmerder3Nikola Cihoric4Department of Radiation Oncology, Inselspital, Bern University Hospital and University of BernSchool of Medicine, University of St. GallenDepartment of Radiation Oncology, Inselspital, Bern University Hospital and University of BernDepartment of Radiation Oncology, Inselspital, Bern University Hospital and University of BernDepartment of Radiation Oncology, Inselspital, Bern University Hospital and University of BernIntegrating Large Language Models (LLMs) into healthcare promises substantial advancements but requires careful consideration of technical, ethical, and regulatory challenges. Closed LLMs of private companies offer ease of deployment but pose risks related to data privacy and vendor dependence. Open LLMs deployed on local hardware enable greater model customization but demand resources and technical expertise. Balancing these approaches, with collaboration among clinicians, researchers, and companies is crucial to ensure effective, secure, and ethical implementation.https://doi.org/10.1038/s41746-025-01476-7 |
| spellingShingle | Fabio Dennstädt Janna Hastings Paul Martin Putora Max Schmerder Nikola Cihoric Implementing large language models in healthcare while balancing control, collaboration, costs and security npj Digital Medicine |
| title | Implementing large language models in healthcare while balancing control, collaboration, costs and security |
| title_full | Implementing large language models in healthcare while balancing control, collaboration, costs and security |
| title_fullStr | Implementing large language models in healthcare while balancing control, collaboration, costs and security |
| title_full_unstemmed | Implementing large language models in healthcare while balancing control, collaboration, costs and security |
| title_short | Implementing large language models in healthcare while balancing control, collaboration, costs and security |
| title_sort | implementing large language models in healthcare while balancing control collaboration costs and security |
| url | https://doi.org/10.1038/s41746-025-01476-7 |
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