scholarly article | Q13442814 |
P356 | DOI | 10.12688/F1000RESEARCH.14897.1 |
10.12688/F1000RESEARCH.14897.2 | ||
P932 | PMC publication ID | 6039946 |
P698 | PubMed publication ID | 30026931 |
P50 | author | Michael S Avidan | Q64105938 |
Teresa Murray-Torres | Q56987196 | ||
P2093 | author name string | Anshuman Sharma | |
Arbi Ben Abdallah | |||
Bradley A Fritz | |||
Stephen Gregory | |||
Daniel L Helsten | |||
Troy S Wildes | |||
ACTFAST Study Group | |||
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P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P4510 | describes a project that uses | SQL | Q47607 |
P407 | language of work or name | English | Q1860 |
P921 | main subject | randomized controlled trial | Q1436668 |
telemedicine | Q46994 | ||
study protocol | Q111908491 | ||
P304 | page(s) | 623 | |
P577 | publication date | 2018-05-22 | |
P1433 | published in | F1000Research | Q27701587 |
P1476 | title | Study protocol for the Anesthesiology Control Tower-Feedback Alerts to Supplement Treatments (ACTFAST-3) trial: a pilot randomized controlled trial in intraoperative telemedicine | |
P478 | volume | 7 |
Q62825255 | Anesthesiology Control Tower: Feasibility Assessment to Support Translation (ACTFAST) a mixed methods study of a novel telemedicine-based support system for the operating room (Preprint) |
Q90314449 | Deep-learning model for predicting 30-day postoperative mortality |
Q90577368 | Protocol for the Effectiveness of an Anesthesiology Control Tower System in Improving Perioperative Quality Metrics and Clinical Outcomes: the TECTONICS randomized, pragmatic trial |
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