Overcoming Pilotitis in Digital Medicine at the Intersection of Data, Clinical Evidence, and Adoption
10.1002/aisy.202200056
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2023
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sg-nus-scholar.10635-2393622024-11-15T12:49:50Z Overcoming Pilotitis in Digital Medicine at the Intersection of Data, Clinical Evidence, and Adoption Egermark, Mathias Blasiak, Agata Remus, Alexandria Sapanel, Yoann Ho, Dean DEAN'S OFFICE (MEDICINE) BIOMEDICAL ENGINEERING LIFE SCIENCES INSTITUTE Dr Alexandria Marie Remus Science & Technology Technology Automation & Control Systems Computer Science, Artificial Intelligence Robotics Computer Science artificial intelligence clinical evidence digital medicine healthcare funding medical technology N-of-1 reimbursement HEALTH TECHNOLOGY-ASSESSMENT ARTIFICIAL-INTELLIGENCE PUBLICATION BIAS INTERVENTIONS SYSTEMS STROKE 10.1002/aisy.202200056 ADVANCED INTELLIGENT SYSTEMS 4 9 2023-05-12T08:20:23Z 2023-05-12T08:20:23Z 2022-05-26 2023-05-12T06:14:50Z Article Egermark, Mathias, Blasiak, Agata, Remus, Alexandria, Sapanel, Yoann, Ho, Dean (2022-05-26). Overcoming Pilotitis in Digital Medicine at the Intersection of Data, Clinical Evidence, and Adoption. ADVANCED INTELLIGENT SYSTEMS 4 (9). ScholarBank@NUS Repository. https://doi.org/10.1002/aisy.202200056 2640-4567 https://scholarbank.nus.edu.sg/handle/10635/239362 en WILEY Elements |
| institution |
National University of Singapore |
| building |
NUS Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NUS Library |
| collection |
ScholarBank@NUS |
| language |
English |
| topic |
Science & Technology Technology Automation & Control Systems Computer Science, Artificial Intelligence Robotics Computer Science artificial intelligence clinical evidence digital medicine healthcare funding medical technology N-of-1 reimbursement HEALTH TECHNOLOGY-ASSESSMENT ARTIFICIAL-INTELLIGENCE PUBLICATION BIAS INTERVENTIONS SYSTEMS STROKE |
| spellingShingle |
Science & Technology Technology Automation & Control Systems Computer Science, Artificial Intelligence Robotics Computer Science artificial intelligence clinical evidence digital medicine healthcare funding medical technology N-of-1 reimbursement HEALTH TECHNOLOGY-ASSESSMENT ARTIFICIAL-INTELLIGENCE PUBLICATION BIAS INTERVENTIONS SYSTEMS STROKE Egermark, Mathias Blasiak, Agata Remus, Alexandria Sapanel, Yoann Ho, Dean Overcoming Pilotitis in Digital Medicine at the Intersection of Data, Clinical Evidence, and Adoption |
| description |
10.1002/aisy.202200056 |
| author2 |
DEAN'S OFFICE (MEDICINE) |
| author_facet |
DEAN'S OFFICE (MEDICINE) Egermark, Mathias Blasiak, Agata Remus, Alexandria Sapanel, Yoann Ho, Dean |
| format |
Article |
| author |
Egermark, Mathias Blasiak, Agata Remus, Alexandria Sapanel, Yoann Ho, Dean |
| author_sort |
Egermark, Mathias |
| title |
Overcoming Pilotitis in Digital Medicine at the Intersection of Data, Clinical Evidence, and Adoption |
| title_short |
Overcoming Pilotitis in Digital Medicine at the Intersection of Data, Clinical Evidence, and Adoption |
| title_full |
Overcoming Pilotitis in Digital Medicine at the Intersection of Data, Clinical Evidence, and Adoption |
| title_fullStr |
Overcoming Pilotitis in Digital Medicine at the Intersection of Data, Clinical Evidence, and Adoption |
| title_full_unstemmed |
Overcoming Pilotitis in Digital Medicine at the Intersection of Data, Clinical Evidence, and Adoption |
| title_sort |
overcoming pilotitis in digital medicine at the intersection of data, clinical evidence, and adoption |
| publisher |
WILEY |
| publishDate |
2023 |
| url |
https://scholarbank.nus.edu.sg/handle/10635/239362 |
| _version_ |
1821217010062721024 |