Published on in Vol 21, No 12 (2019): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15166, first published .
Digital Alerting and Outcomes in Patients With Sepsis: Systematic Review and Meta-Analysis

Digital Alerting and Outcomes in Patients With Sepsis: Systematic Review and Meta-Analysis

Digital Alerting and Outcomes in Patients With Sepsis: Systematic Review and Meta-Analysis

Journals

  1. Mohamed M, Malewicz N, Zehry H, Hussain D, Barouh J, Cançado A, Silva J, Suwileh S, Carvajal J. Fluid Administration in Emergency Room Limited by Lung Ultrasound in Patients with Sepsis: Protocol for a Prospective Phase II Multicenter Randomized Controlled Trial. JMIR Research Protocols 2020;9(8):e15997 View
  2. Gunasekeran D, Tham Y, Ting D, Tan G, Wong T. Digital health during COVID-19: lessons from operationalising new models of care in ophthalmology. The Lancet Digital Health 2021;3(2):e124 View
  3. Li L, Ackermann K, Baker J, Westbrook J. Use and Evaluation of Computerized Clinical Decision Support Systems for Early Detection of Sepsis in Hospitals: Protocol for a Scoping Review. JMIR Research Protocols 2020;9(11):e24899 View
  4. Baker A, Monuteaux M, Madden K, Capraro A, Harper M, Eisenberg M. Effect of a Sepsis Screening Algorithm on Care of Children with False-Positive Sepsis Alerts. The Journal of Pediatrics 2021;231:193 View
  5. Iqbal F, Lam K, Joshi M, Khan S, Ashrafian H, Darzi A. Clinical outcomes of digital sensor alerting systems in remote monitoring: a systematic review and meta-analysis. npj Digital Medicine 2021;4(1) View
  6. Nevill A, Kuhn L, Thompson J, Morphet J. The influence of nurse allocated triage category on the care of patients with sepsis in the emergency department: A retrospective review. Australasian Emergency Care 2021;24(2):121 View
  7. Iqbal F, Joshi M, Khan S, Ashrafian H, Darzi A. Implementation of Wearable Sensors and Digital Alerting Systems in Secondary Care: Protocol for a Real-World Prospective Study Evaluating Clinical Outcomes. JMIR Research Protocols 2021;10(5):e26240 View
  8. Shetty A, Murphy M, Middleton‐Rennie C, Lancuba A, Green M, Lander H, Fullick M, Li L, Iredell J, Gunja N. Evaluation of an augmented emergency department electronic medical record‐based sepsis alert. Emergency Medicine Australasia 2021;33(5):848 View
  9. Guo X, Swenor B, Smith K, Boland M, Goldstein J. Developing an Ophthalmology Clinical Decision Support System to Identify Patients for Low Vision Rehabilitation. Translational Vision Science & Technology 2021;10(3):24 View
  10. Lee A, Aaronson E, Hibbert K, Flynn M, Rutkey H, Mort E, Sonis J, Safavi K. Design and Implementation of a Real-time Monitoring Platform for Optimal Sepsis Care in an Emergency Department: Observational Cohort Study. Journal of Medical Internet Research 2021;23(6):e26946 View
  11. Hung K, Lam R, Lui C. Bringing sepsis care back to the emergency department: New prognostic tools and extended role of emergency physicians. Hong Kong Journal of Emergency Medicine 2021;28(4):197 View
  12. HLUNGWANE E, TEN HAM-BALOYI W, JORDAN P, OAMEN B. Nurses' Knowledge on Sepsis Related to Mechanical Ventilation: An Intervention Study. Journal of Nursing Research 2021;29(4):e158 View
  13. Bian Z, Zhu R, Chen S. The predict value of serum/urocystatin C on acute kidney injury in elderly patients with sepsis. Experimental Gerontology 2021;155:111576 View
  14. Kumar A, Abbenbroek B, Delaney A, Hammond N, Grattan S, Finfer S. Sepsis triggers and tools to support early identification in healthcare settings: An integrative review. Australian Critical Care 2023;36(6):1117 View
  15. Zhang Z, Chen L, Xu P, Wang Q, Zhang J, Chen K, Clements C, Celi L, Herasevich V, Hong Y. Effectiveness of automated alerting system compared to usual care for the management of sepsis. npj Digital Medicine 2022;5(1) View
  16. Silvestri J, Kmiec T, Bishop N, Regli S, Weissman G. Desired Characteristics of a Clinical Decision Support System for Early Sepsis Recognition: Interview Study Among Hospital-Based Clinicians. JMIR Human Factors 2022;9(4):e36976 View
  17. Ackermann K, Baker J, Green M, Fullick M, Varinli H, Westbrook J, Li L. Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Adult Inpatients: Scoping Review. Journal of Medical Internet Research 2022;24(2):e31083 View
  18. Ackermann K, Baker J, Festa M, McMullan B, Westbrook J, Li L. Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Pediatric, Neonatal, and Maternal Inpatients: Scoping Review. JMIR Medical Informatics 2022;10(5):e35061 View
  19. Alturki A, Al-Eyadhy A, Alfayez A, Bendahmash A, Aljofan F, Alanzi F, Alsubaie H, Alabdulsalam M, Alayed T, Alofisan T, Alnajem A. Impact of an electronic alert system for pediatric sepsis screening a tertiary hospital experience. Scientific Reports 2022;12(1) View
  20. Schootman M, Wiskow C, Loux T, Meyer L, Powell S, Gandhi A, Lacasse A. Evaluation of the effectiveness of an automated sepsis predictive tool on patient outcomes. Journal of Critical Care 2022;71:154061 View
  21. Daphtary K, Baloglu O. Clinical Informatics and Quality Improvement in the Pediatric Intensive Care Unit. Pediatric Clinics of North America 2022;69(3):573 View
  22. Iqbal F, Joshi M, Fox R, Koutsoukou T, Sharma A, Wright M, Khan S, Ashrafian H, Darzi A. Outcomes of Vital Sign Monitoring of an Acute Surgical Cohort With Wearable Sensors and Digital Alerting Systems: A Pragmatically Designed Cohort Study and Propensity-Matched Analysis. Frontiers in Bioengineering and Biotechnology 2022;10 View
  23. Jacobi J. The pathophysiology of sepsis—2021 update: Part 1, immunology and coagulopathy leading to endothelial injury. American Journal of Health-System Pharmacy 2022;79(5):329 View
  24. Arabi Y, Alsaawi A, Al Zahrani M, Al Khathaami A, AlHazme R, Al Mutrafy A, Al Qarni A, Al Shouabi A, Al Qasim E, Abdukahil S, Al-Rabeah F, Al Ghamdi H, Al Ghamdi E, Alansari M, Abuelgasim K, Alatassi A, Alchin J, Al-Dorzi H, Ghamdi A, Al-Hameed F, Alharbi A, Hussein M, Jastaniah W, AlKatheri M, AlMarhabi H, Mustafa H, Jones J, Al-Qahtani S, Qahtani S, Qureshi A, Salih S, Alselaim N, Tashkandi N, Vishwakarma R, AlWafi E, Alyami A, Alyousef Z, Al Arfaj A, Al Moammary M, Rasheed S, Alwasaidi T, Matroud A, Al Anazi R, Alhasani A, Al Shammari H, Alshamrani M, Qasim S, Obbed S, Munshi A, Al Tabsh H, Banat B, Abuskout O, Marcelo A, Alhabshi M, Jaber I, Shahin M, Yaakob J, Al Somali H, Masala C, Al Qarni M, Chalabi J, Greyvenstein J, Jazieh A, Omaish N, Abdrahim A, Abdrabo M, Al Hamdan A, Al Qasem A, Esilan H. Electronic early notification of sepsis in hospitalized ward patients: a study protocol for a stepped-wedge cluster randomized controlled trial. Trials 2021;22(1) View
  25. Park J, Hsu T, Hu J, Chen C, Hsu W, Lee M, Ho J, Lee C. Predicting Sepsis Mortality in a Population-Based National Database: Machine Learning Approach. Journal of Medical Internet Research 2022;24(4):e29982 View
  26. Clarke J, Flott K, Fernandez Crespo R, Ashrafian H, Fontana G, Benger J, Darzi A, Elkin S. Assessing the safety of home oximetry for COVID-19: a multisite retrospective observational study. BMJ Open 2021;11(9):e049235 View
  27. Feinstein Y, Kogan S, Dreiher J, Noham A, Harosh S, Lecht J, Sror T, Cohen N, Bar-Yosef E, Hershkowitz E, Lazar I, Schonmann Y, Greenberg D, Danino D. Implementing a screening algorithm for early recognition of sepsis in hospitalized children: a quality improvement project. International Journal for Quality in Health Care 2023;35(1) View
  28. Li J, Xi F, Yu W, Sun C, Wang X. Real-Time Prediction of Sepsis in Critical Trauma Patients: Machine Learning–Based Modeling Study. JMIR Formative Research 2023;7:e42452 View
  29. Tarabichi Y, Cheng A, Bar-Shain D, McCrate B, Reese L, Emerman C, Siff J, Wang C, Kaelber D, Watts B, Hecker M. Improving Timeliness of Antibiotic Administration Using a Provider and Pharmacist Facing Sepsis Early Warning System in the Emergency Department Setting: A Randomized Controlled Quality Improvement Initiative*. Critical Care Medicine 2022;50(3):418 View
  30. Chourasia S, Pandey S, Murtaza Q, Agrawal S, Gupta K. Redefining Industry 5.0 in Ophthalmology and Digital Metrology: A Global Perspective. MAPAN 2023;38(2):527 View

Books/Policy Documents

  1. Yeung K, Winter Beatty J, Purkayastha S. Obesity, Bariatric and Metabolic Surgery. View
  2. Yeung K, Winter Beatty J, Purkayastha S. Obesity, Bariatric and Metabolic Surgery. View