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aihc-programs [2025/09/05 18:43]
nigam [Efforts in SOE] |
aihc-programs [2025/12/12 10:30] (current)
nigam [Efforts in SOM] |
| - [[https://emstepp.squarespace.com/|Stanford EM Partnership Program (STEPP)]], is a structured system for sourcing, evaluating, and executing innovative partnership between the Stanford Department of Emergency Medicine and innovators. | - [[https://emstepp.squarespace.com/|Stanford EM Partnership Program (STEPP)]], is a structured system for sourcing, evaluating, and executing innovative partnership between the Stanford Department of Emergency Medicine and innovators. |
| - [[https://med.stanford.edu/raisehealth|Responsible AI for Safe and Equitable Health (RAISE-Health)]], is a joint initiative between Stanford Medicine and the Stanford Institute for Human-Centered Artificial Intelligence (HAI) to guide the responsible use of AI across biomedical research, education, and patient care. | - [[https://med.stanford.edu/raisehealth|Responsible AI for Safe and Equitable Health (RAISE-Health)]], is a joint initiative between Stanford Medicine and the Stanford Institute for Human-Centered Artificial Intelligence (HAI) to guide the responsible use of AI across biomedical research, education, and patient care. |
| - [[https://traind.stanford.edu/|Translational AI in Dermatology (TRAIND)]], works to advance the clinician-driven and patient-centered development of augmented intelligence AuI in dermatology by bringing together the expertise, capabilities and partners to achieve the promise of “bytes to bedside, pixels to practice”. | - [[https://traind.stanford.edu/|Translational AI in Dermatology (TRAIND)]], works to advance the clinician-driven and patient-centered development of augmented intelligence in dermatology by bringing together the expertise, capabilities and partners to achieve the promise of “bytes to bedside, pixels to practice”. |
| - [[https://med.stanford.edu/hospitalmedicine/research/arise-network.html | ARiSE (AI Research and Science Evaluation) Healthcare Network]], was established in 2024 as a collaboration between clinicians and researchers across academic medical centers to advance the field of healthcare AI by designing and executing rigorous, multi-center research studies. | - [[https://med.stanford.edu/hospitalmedicine/research/arise-network.html|ARiSE (AI Research and Science Evaluation) Healthcare Network]], was established in 2024 as a collaboration between clinicians and researchers across academic medical centers to advance the field of healthcare AI by designing and executing rigorous, multi-center research studies. |
| - [[http://med.stanford.edu/seal.html|Stanford Emerging Apps Lab (SEAL)]]'s, mission is to build and maintain a pipeline for the development and implementation of new digital solutions that enhance the functionality of the electronic health record for clinicians to deliver high quality and high touch care to patients at Stanford Medicine. | - [[http://med.stanford.edu/seal.html|Stanford Emerging Apps Lab (SEAL)]]'s, mission is to build and maintain a pipeline for the development and implementation of new digital solutions that enhance the functionality of the electronic health record for clinicians to deliver high quality and high touch care to patients at Stanford Medicine. |
| - [[http://med.stanford.edu/cdh.html|Center for Digital Health (CDH)]], which is a collaborator, resource, and enabler of the next generation of medicine for shaping the future of digital health. | - [[http://med.stanford.edu/cdh.html|Center for Digital Health (CDH)]], which is a collaborator, resource, and enabler of the next generation of medicine for shaping the future of digital health. |
| - [[https://spezi.sites.stanford.edu/|Spezi ]] by Stanford Biodesign Digital Health, is an open-source framework for the rapid development of modern, interoperable digital health applications based on an ecosystem of modules that exchange data using health data standards such as HL7® FHIR®. | - [[https://spezi.sites.stanford.edu/|Spezi ]] by Stanford Biodesign Digital Health, is an open-source framework for the rapid development of modern, interoperable digital health applications based on an ecosystem of modules that exchange data using health data standards such as HL7® FHIR®. |
| - [[https://innovations.stanford.edu/about|Stanford Healthcare Innovation Lab]], which characterizes an individual’s healthy baseline to identify when deviations from baseline occur and intervene to maintain health as well as early detection and prevention of disease. | - [[https://innovations.stanford.edu/about|Stanford Healthcare Innovation Lab]], which characterizes an individual’s healthy baseline to identify when deviations from baseline occur and intervene to maintain health as well as early detection and prevention of disease. |
| | - [[https://heal-ai.stanford.edu/ | Heal-AI]], Healthcare Ethical Assessment Lab for Artificial Intelligence, works to identify and address ethical issues arising from use of healthcare AI tools before they become problems for the organization, clinicians, and patients. |
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| ==== Efforts in SOE ==== | ==== Efforts in SOE ==== |
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