Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22033, first published .
Managing COVID-19 With a Clinical Decision Support Tool in a Community Health Network: Algorithm Development and Validation

Managing COVID-19 With a Clinical Decision Support Tool in a Community Health Network: Algorithm Development and Validation

Managing COVID-19 With a Clinical Decision Support Tool in a Community Health Network: Algorithm Development and Validation

Journals

  1. Saegerman C, Gilbert A, Donneau A, Gangolf M, Diep A, Meex C, Bontems S, Hayette M, D’Orio V, Ghuysen A, Shimosawa T. Clinical decision support tool for diagnosis of COVID-19 in hospitals. PLOS ONE 2021;16(3):e0247773 View
  2. Kalgotra P, Gupta A, Sharda R. Pandemic information support lifecycle: Evidence from the evolution of mobile apps during COVID-19. Journal of Business Research 2021;134:540 View
  3. Broza Y, Haick H. Biodiagnostics in an era of global pandemics—From biosensing materials to data management. VIEW 2022;3(2) View
  4. Wang J, Liu W, Chen X, McRae M, McDevitt J, Fenyö D. Predictive Modeling of Morbidity and Mortality in Patients Hospitalized With COVID-19 and its Clinical Implications: Algorithm Development and Interpretation. Journal of Medical Internet Research 2021;23(7):e29514 View
  5. Ganjali R, Eslami S, Samimi T, Sargolzaei M, Firouraghi N, MohammadEbrahimi S, khoshrounejad F, Kheirdoust A. Clinical informatics solutions in COVID-19 pandemic: Scoping literature review. Informatics in Medicine Unlocked 2022;30:100929 View
  6. Sarker S, Jamal L, Ahmed S, Irtisam N. Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review. Robotics and Autonomous Systems 2021;146:103902 View
  7. McRae M, Rajsri K, Alcorn T, McDevitt J. Smart Diagnostics: Combining Artificial Intelligence and In Vitro Diagnostics. Sensors 2022;22(17):6355 View
  8. Chrimes D. Using Decision Trees as an Expert System for Clinical Decision Support for COVID-19. Interactive Journal of Medical Research 2023;12:e42540 View
  9. Quiroz-Juárez M, Torres-Gómez A, Hoyo-Ulloa I, León-Montiel R, U’Ren A, Orzechowski P. Identification of high-risk COVID-19 patients using machine learning. PLOS ONE 2021;16(9):e0257234 View
  10. Hambrecht A, Krowsoski L, DiMaggio C, Hong C, Medina B, Thomas McDevitt J, McRae M, Mukherjee V, Uppal A, Bukur M. A Novel COVID-19 Severity Score is Associated With Survival in Patients Undergoing Percutaneous Dilational Tracheostomy. Journal of Surgical Research 2023;283:1026 View
  11. Nair S, Li C, Doijad R, Nagy P, Lehmann H, Kharrazi H. A scoping review of knowledge authoring tools used for developing computerized clinical decision support systems. JAMIA Open 2021;4(4) View
  12. Dixon B, Holmes J. Managing Pandemics with Health Informatics. Yearbook of Medical Informatics 2021;30(01):069 View
  13. Rajsri K, McRae M, Simmons G, Christodoulides N, Matz H, Dooley H, Koide A, Koide S, McDevitt J. A Rapid and Sensitive Microfluidics-Based Tool for Seroprevalence Immunity Assessment of COVID-19 and Vaccination-Induced Humoral Antibody Response at the Point of Care. Biosensors 2022;12(8):621 View
  14. Buchner L, Park E, Bendz P, Englert A, von der Groeben C, Vo L, Schmitt E, Zacharowski K, Börm P, Stauber D, Bingold T, Booke M, Gerth M, Greim C, Mersmann J, Muellenbach R, Mutlak H, Ott B, Pape A, Sander M, Teßmann R, Welte M, Wermelt J, Wulf H, Choorapoikayil S, Füllenbach C, Meybohm P. Evaluation of a Clinical Decision Support System for the most evidence-based approach to managing perioperative anticoagulation. Journal of Clinical Anesthesia 2022;80:110877 View
  15. Schünke L, Mello B, da Costa C, Antunes R, Rigo S, Ramos G, Righi R, Scherer J, Donida B. A rapid review of machine learning approaches for telemedicine in the scope of COVID-19. Artificial Intelligence in Medicine 2022;129:102312 View
  16. Wu H, Lu X, Wang H. The Application of Artificial Intelligence in Health Care Resource Allocation Before and During the COVID-19 Pandemic: Scoping Review. JMIR AI 2023;2:e38397 View
  17. Arora G, Joshi J, Mandal R, Shrivastava N, Virmani R, Sethi T. Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19. Pathogens 2021;10(8):1048 View
  18. Wynants L, Van Calster B, Collins G, Riley R, Heinze G, Schuit E, Albu E, Arshi B, Bellou V, Bonten M, Dahly D, Damen J, Debray T, de Jong V, De Vos M, Dhiman P, Ensor J, Gao S, Haller M, Harhay M, Henckaerts L, Heus P, Hoogland J, Hudda M, Jenniskens K, Kammer M, Kreuzberger N, Lohmann A, Levis B, Luijken K, Ma J, Martin G, McLernon D, Navarro C, Reitsma J, Sergeant J, Shi C, Skoetz N, Smits L, Snell K, Sperrin M, Spijker R, Steyerberg E, Takada T, Tzoulaki I, van Kuijk S, van Bussel B, van der Horst I, Reeve K, van Royen F, Verbakel J, Wallisch C, Wilkinson J, Wolff R, Hooft L, Moons K, van Smeden M. Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal. BMJ 2020:m1328 View
  19. Ganegoda N, Perera S. Chaos of COVID-19 Superspreading Events: An Analysis Via a Data-driven Approach. Journal of Health Management 2023;25(3):514 View
  20. Starvaggi C, Travaglini N, Aebi C, Romano F, Steiner I, Sauter T, Keitel K. www.coronabambini.ch: Development and usage of an online decision support tool for paediatric COVID-19-testing in Switzerland: a cross-sectional analysis. BMJ Open 2023;13(3):e063820 View
  21. Mano L, Torres A, Morales A, Cruz C, Cardoso F, Alves S, Faria C, Lanzillotti R, Cerceau R, da Costa R, Figueiredo K, Werneck V. Machine Learning Applied to COVID-19: A Review of the Initial Pandemic Period. International Journal of Computational Intelligence Systems 2023;16(1) View
  22. Srinivasan Rajsri K, McRae M, Christodoulides N, Dapkins I, Simmons G, Matz H, Dooley H, Fenyö D, McDevitt J. Simultaneous Quantitative SARS-CoV-2 Antigen and Host Antibody Detection and Pre-Screening Strategy at the Point of Care. Bioengineering 2023;10(6):670 View
  23. Viderman D, Kotov A, Popov M, Abdildin Y. Machine and deep learning methods for clinical outcome prediction based on physiological data of COVID-19 patients: a scoping review. International Journal of Medical Informatics 2024;182:105308 View

Books/Policy Documents

  1. Vittorini P, Casano N, Sinatti G, Santini S, Balsano C. Practical Applications of Computational Biology and Bioinformatics, 16th International Conference (PACBB 2022). View