Published on in Vol 6, No 2 (2019): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12155, first published .
Anesthesiology Control Tower—Feasibility Assessment to Support Translation (ACTFAST): Mixed-Methods Study of a Novel Telemedicine-Based Support System for the Operating Room

Anesthesiology Control Tower—Feasibility Assessment to Support Translation (ACTFAST): Mixed-Methods Study of a Novel Telemedicine-Based Support System for the Operating Room

Anesthesiology Control Tower—Feasibility Assessment to Support Translation (ACTFAST): Mixed-Methods Study of a Novel Telemedicine-Based Support System for the Operating Room

Journals

  1. Pal N, Kertai M. Perioperative Precision Medicine: Where Are We in 2020?. Current Opinion in Anaesthesiology 2020;33(3):463 View
  2. King C, Abraham J, Kannampallil T, Fritz B, Ben Abdallah A, Chen Y, Henrichs B, Politi M, Torres B, Mickle A, Budelier T, McKinnon S, Gregory S, Kheterpal S, Wildes T, Avidan M. Protocol for the Effectiveness of an Anesthesiology Control Tower System in Improving Perioperative Quality Metrics and Clinical Outcomes: the TECTONICS randomized, pragmatic trial. F1000Research 2019;8:2032 View
  3. Colquhoun D, Davis R, Tremper T, Mace J, Gombert J, Sheldon W, Connolly J, Adams J, Tremper K. Design of a novel multifunction decision support/alerting system for in-patient acute care, ICU and floor (AlertWatch AC). BMC Anesthesiology 2021;21(1) View
  4. Fritz B, King C, Chen Y, Kronzer A, Abraham J, Ben Abdallah A, Kannampallil T, Budelier T, Montes de Oca A, McKinnon S, Tellor Pennington B, Wildes T, Avidan M. Protocol for the perioperative outcome risk assessment with computer learning enhancement (Periop ORACLE) randomized study. F1000Research 2022;11:653 View
  5. van Gils A, Visser L, Hendriksen H, Georges J, Muller M, Bouwman F, van der Flier W, Rhodius-Meester H. Assessing the Views of Professionals, Patients, and Care Partners Concerning the Use of Computer Tools in Memory Clinics: International Survey Study. JMIR Formative Research 2021;5(12):e31053 View
  6. Fritz B, King C, Chen Y, Kronzer A, Abraham J, Ben Abdallah A, Kannampallil T, Budelier T, Montes de Oca A, McKinnon S, Tellor Pennington B, Wildes T, Avidan M. Protocol for the perioperative outcome risk assessment with computer learning enhancement (Periop ORACLE) randomized study. F1000Research 2022;11:653 View
  7. Abraham J, Meng A, Montes de Oca A, Politi M, Wildes T, Gregory S, Henrichs B, Kannampallil T, Avidan M. An ethnographic study on the impact of a novel telemedicine-based support system in the operating room. Journal of the American Medical Informatics Association 2022;29(11):1919 View
  8. Abraham J, Meng A, Holzer K, Brawer L, Casarella A, Avidan M, Politi M. Exploring patient perspectives on telemedicine monitoring within the operating room. International Journal of Medical Informatics 2021;156:104595 View
  9. Abraham J, Bartek B, Meng A, Ryan King C, Xue B, Lu C, Avidan M. Integrating machine learning predictions for perioperative risk management: Towards an empirical design of a flexible-standardized risk assessment tool. Journal of Biomedical Informatics 2023;137:104270 View
  10. King C, Gregory S, Fritz B, Budelier T, Ben Abdallah A, Kronzer A, Helsten D, Torres B, McKinnon S, Goswami S, Mehta D, Higo O, Kerby P, Henrichs B, Wildes T, Politi M, Abraham J, Avidan M, Kannampallil T, Abdelhack M, Aranake-Chrisinger A, Archer A, Arends M, Armstrong E, Athiraman U, Balasubramanian S, Bansal A, Battig K, Benematti D, Benzinger G, Bollini M, Borle A, Bottros M, Boyle W, Bozada T, Bradley M, BrandonUfert B, Brown C, Brown-Shpigel J, Burton J, Carmony M, Cass K, Cavallone L, Chen Y, Chen Y, Choi H, Coggin M, Cohen Z, Critchlow C, Davies C, Davis C, Demler-Barth A, Durk R, Eddins D, Eisenbath D, Ellis M, Emmert D, Escallier K, Exler J, Fingerman M, Fischbach E, Frasca E, Ge M, Gillihan J, Goez M, Goodwin N, Graetz T, Guffey R, Gupta S, Gurba K, Gutesa K, Guthrie T, Hakim M, Hantler C, Haw P, Heeger H, Herrera E, Hincker A, Hovis R, Hubbard G, Hueneke R, Ingram M, Iqbal Z, Ironstone S, Jacobsen K, Jain N, Kadi B, Kangrga I, Karanikolas M, Kinealy B, Kinworthy M, Kirkpatrick H, Kiveric E, Knibb A, Knittel J, Kokefer A, Koman H, Kras J, Kraus K, Lakshminarasimhachar A, Larese J, Lattanand C, Malshet Casarella A, Mathew J, Maybrier H, McAvity P, McClellan A, McDowell J, McKenzie H, Meng A, Mickle A, Milbrandt M, Mohinder Singh P, Mohrmann A, Monks D, Montes de Oca A, Murray-Torres T, Najrabi K, Nowakowski L, Nwokeabia I, Oberhaus J, Owusu-Bediako E, Park D, Patel A, Perez S, Phillips C, Potter D, Pulley D, Rangrass G, Rao J, Rathor R, Riordan I, Ritter C, Roller E, Sabino M, Sanzalone M, Sayfutdinova E, Schadler C, Schappe E, Schatz A, Sebastiani A, Seiber K, Sharma A, Sillery S, Silver K, Siraco S, Somercik M, Sontha P, Spencer J, Spencer E, Stevens T, Swaniker J, Szabo M, Terkonda R, Thai C, Todorovic M, Tolly B, Trammel E, Tripathi S, Tseng L, Uding B, Upadhyayula R, Varaday S, Varnum W, Wang M, Watkins S, Willingham M, Wise W, Wolfe R, Wolfson M, Woodstock H, Wright R, Yang K, Yee B, Yuan J, Zanaboni P, Zenga J, Zhang J, Zheng T, Zimick N, Zwingelberg J. An Intraoperative Telemedicine Program to Improve Perioperative Quality Measures. JAMA Network Open 2023;6(9):e2332517 View
  11. Feinstein M, Katz D, Demaria S, Hofer I. Remote Monitoring and Artificial Intelligence: Outlook for 2050. Anesthesia & Analgesia 2024;138(2):350 View
  12. Sherrer D, Tremper K, Pandit J. The Infinite Game: Opportunities and Lessons About Possible Futures of Anesthesia Service Delivery from the United Kingdom. Anesthesia & Analgesia 2024 View
  13. Roth J, Voigt V, Yilmaz O, Schauwinhold M, Czaplik M, Follmann A, Pereira C. Concept and development of a telemedical supervision system for anesthesiology in operating rooms using the interoperable communication standard ISO/IEEE 11073 SDC. Biomedical Engineering / Biomedizinische Technik 2024 View