This paper is in the following e-collection/theme issue:

Telehealth and Telemonitoring (2089) Adoption and Change Management of eHealth Systems (894) Intensive Care Unit (ICU) (160) Nursing in a Hospital Setting (132)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19091, first published .
Improvements in Patient Monitoring in the Intensive Care Unit: Survey Study

Improvements in Patient Monitoring in the Intensive Care Unit: Survey Study

Improvements in Patient Monitoring in the Intensive Care Unit: Survey Study

Authors of this article:

Akira-Sebastian Poncette1, 2 Author Orcid Image ;   Lina Mosch1 Author Orcid Image ;   Claudia Spies1 Author Orcid Image ;   Malte Schmieding1, 2 Author Orcid Image ;   Fridtjof Schiefenhövel1, 2 Author Orcid Image ;   Henning Krampe1 Author Orcid Image ;   Felix Balzer1, 2 Author Orcid Image
Article Authors Cited by (87) Tweetations (7) Metrics

Journals

  1. Ezhilan M, Suresh I, Nesakumar N. SARS-CoV, MERS-CoV and SARS-CoV-2: A Diagnostic Challenge. Measurement 2021;168:108335 View
  2. Hinske L. Über die Zukunft des maschinellen Lernens in der Anästhesiologie. Der Anaesthesist 2020;69(8):533 View
  3. Hernandez L, Kim R, Tokcan N, Derksen H, Biesterveld B, Croteau A, Williams A, Mathis M, Najarian K, Gryak J. Multimodal tensor-based method for integrative and continuous patient monitoring during postoperative cardiac care. Artificial Intelligence in Medicine 2021;113:102032 View
  4. Nothman S, Kaffman M, Nave R, Flugelman M. Survey of faculty development in four Israeli medical schools: clinical faculty development is inadequate and clinical teaching is undervalued in Israeli faculties of medicine. Israel Journal of Health Policy Research 2021;10(1) View
  5. Tanaka H, Yokose M, Takaki S, Mihara T, Saigusa Y, Goto T. Evaluation of respiratory rate monitoring using a microwave Doppler sensor mounted on the ceiling of an intensive care unit: a prospective observational study. Journal of Clinical Monitoring and Computing 2022;36(1):71 View
  6. Romare C, Anderberg P, Sanmartin Berglund J, Skär L. Burden of care related to monitoring patient vital signs during intensive care; a descriptive retrospective database study. Intensive and Critical Care Nursing 2022;71:103213 View
  7. Liu P, Lu L, Zhang J, Huo T, Liu S, Ye Z. Application of Artificial Intelligence in Medicine: An Overview. Current Medical Science 2021;41(6):1105 View
  8. KELEŞ H. TIPTA YAPAY ZEKA UYGULAMALARI. Kırıkkale Üniversitesi Tıp Fakültesi Dergisi 2022;24(3):604 View
  9. Rodrigues V, Righi R, da Costa C, Antunes R. Smart Hospitals and IoT Sensors: Why Is QoS Essential Here?. Journal of Sensor and Actuator Networks 2022;11(3):33 View
  10. Tulk Jesso S, Kelliher A, Sanghavi H, Martin T, Henrickson Parker S. Inclusion of Clinicians in the Development and Evaluation of Clinical Artificial Intelligence Tools: A Systematic Literature Review. Frontiers in Psychology 2022;13 View
  11. Santos E, Luna A, Szpalher A. Tecnologias realizadas pela enfermagem em portadores de COVID-19: revisão integrativa. Revista Recien - Revista Científica de Enfermagem 2022;12(37):222 View
  12. Dahmer M, Jennings A, Parker M, Sanchez-Pinto L, Thompson A, Traube C, Zimmerman J. Pediatric Critical Care in the Twenty-first Century and Beyond. Critical Care Clinics 2023;39(2):407 View
  13. Hwang G, Tang K, Tu Y. How artificial intelligence (AI) supports nursing education: profiling the roles, applications, and trends of AI in nursing education research (1993–2020). Interactive Learning Environments 2024;32(1):373 View
  14. Mosch L, Poncette A, Spies C, Weber-Carstens S, Schieler M, Krampe H, Balzer F. Creation of an Evidence-Based Implementation Framework for Digital Health Technology in the Intensive Care Unit: Qualitative Study. JMIR Formative Research 2022;6(4):e22866 View
  15. Isfort M, McVerry B, Shutter L, Kim M, Lacomis D. Perceived utility of electrodiagnostic testing in critical illness myopathy and polyneuropathy: A survey of intensive care unit providers. Muscle & Nerve 2022;66(1):90 View
  16. Carelli L, Terzoni S, Destrebecq A, Formenti P, Soumahoro F, Esposito A, Ferrara P. Alarm fatigue in nurses working in intensive care units: A multicenter study. Work 2022;72(2):651 View
  17. Eini-Porat B, Amir O, Eytan D, Shalit U. Tell me something interesting: Clinical utility of machine learning prediction models in the ICU. Journal of Biomedical Informatics 2022;132:104107 View
  18. Poncette A, Mosch L, Stablo L, Spies C, Schieler M, Weber-Carstens S, Feufel M, Balzer F. A Remote Patient-Monitoring System for Intensive Care Medicine: Mixed Methods Human-Centered Design and Usability Evaluation. JMIR Human Factors 2022;9(1):e30655 View
  19. Seibert K, Domhoff D, Bruch D, Schulte-Althoff M, Fürstenau D, Biessmann F, Wolf-Ostermann K. Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review. Journal of Medical Internet Research 2021;23(11):e26522 View
  20. Senechal E, Jeanne E, Tao L, Kearney R, Shalish W, Sant’Anna G. Wireless monitoring devices in hospitalized children: a scoping review. European Journal of Pediatrics 2023;182(5):1991 View
  21. Sinno Z, Shay D, Kruppa J, Klopfenstein S, Giesa N, Flint A, Herren P, Scheibe F, Spies C, Hinrichs C, Winter A, Balzer F, Poncette A. The influence of patient characteristics on the alarm rate in intensive care units: a retrospective cohort study. Scientific Reports 2022;12(1) View
  22. Shim J, Lee E, Oh E, Cho E, Park J, Lee J, Ahn J. Predicting the risk of inappropriate depth of endotracheal intubation in pediatric patients using machine learning approaches. Scientific Reports 2023;13(1) View
  23. Bergauer L, Braun J, Roche T, Meybohm P, Hottenrott S, Zacharowski K, Raimann F, Rivas E, López-Baamonde M, Ganter M, Nöthiger C, Spahn D, Tscholl D, Akbas S. Avatar-based patient monitoring improves information transfer, diagnostic confidence and reduces perceived workload in intensive care units: computer-based, multicentre comparison study. Scientific Reports 2023;13(1) View
  24. Seibert K, Domhoff D, Fürstenau D, Biessmann F, Schulte-Althoff M, Wolf-Ostermann K. Exploring needs and challenges for AI in nursing care – results of an explorative sequential mixed methods study. BMC Digital Health 2023;1(1) View
  25. Manaithiya A, Alam O, Mittal S, Naim M, Imran M, Alshrari A, Sheikh A, Khan I. An Updated and Focused Review on Heterocyclic Inhibitors for SARSCoV and SARS-CoV-2 3CLpro. Mini-Reviews in Medicinal Chemistry 2023;23(5):576 View
  26. Tataei A, Rahimi B, Afshar H, Alinejad V, Jafarizadeh H, Parizad N. The effects of electronic nursing handover on patient safety in the general (non-COVID-19) and COVID-19 intensive care units: a quasi-experimental study. BMC Health Services Research 2023;23(1) View
  27. Tanaka H, Yokose M, Takaki S, Mihara T, Saigusa Y, Goto T. Measurement accuracy of a microwave doppler sensor beneath the mattress as a continuous respiratory rate monitor: a method comparison study. Journal of Clinical Monitoring and Computing 2024;38(1):77 View
  28. GÜL G, SEREN İNTEPELER Ş. Ensuring Specificity as a Strategy for Increasing Alarm Safety. Journal of Basic and Clinical Health Sciences 2023;7(3):139 View
  29. Gheysen F, Rex S. Artificial intelligence in anesthesiology. Acta Anaesthesiologica Belgica 2023;74(3):185 View
  30. Lambert S, Madi M, Sopka S, Lenes A, Stange H, Buszello C, Stephan A. An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals. npj Digital Medicine 2023;6(1) View
  31. Donta P, Murturi I, Casamayor Pujol V, Sedlak B, Dustdar S. Exploring the Potential of Distributed Computing Continuum Systems. Computers 2023;12(10):198 View
  32. Martinez-Ortigosa A, Martinez-Granados A, Gil-Hernández E, Rodriguez-Arrastia M, Ropero-Padilla C, Roman P, Leal-Costa C. Applications of Artificial Intelligence in Nursing Care: A Systematic Review. Journal of Nursing Management 2023;2023:1 View
  33. Kim S, Seo H, Choi S, Joo S. Tele-monitoring system for intensive care ventilators in isolation rooms. Scientific Reports 2023;13(1) View
  34. Dehghan M, Mokhtarabadi S, Rashidi E, Rahiminejad E, Asadi N. Correlation between professional quality of life and alarm fatigue symptoms among intensive care unit nurses. Health Science Reports 2023;6(10) View
  35. Senechal E, Radeschi D, Tao L, Lv S, Jeanne E, Kearney R, Shalish W, Sant Anna G. The use of wireless sensors in the neonatal intensive care unit: a study protocol. PeerJ 2023;11:e15578 View
  36. Balzer F, Agha-Mir-Salim L, Ziemert N, Schmieding M, Mosch L, Prendke M, Wunderlich M, Memmert B, Spies C, Poncette A. Staff perspectives on the influence of patient characteristics on alarm management in the intensive care unit: a cross-sectional survey study. BMC Health Services Research 2023;23(1) View
  37. Yang S, Galvagno S, Badjatia N, Stein D, Teeter W, Scalea T, Shackelford S, Fang R, Miller C, Hu P. A Novel Continuous Real-Time Vital Signs Viewer for Intensive Care Units: Design and Evaluation Study. JMIR Human Factors 2024;11:e46030 View
  38. Li B, Yue L, Nie H, Cao Z, Chai X, Peng B, Zhang T, Huang W. The effect of intelligent management interventions in intensive care units to reduce false alarms: An integrative review. International Journal of Nursing Sciences 2024;11(1):133 View
  39. Okada Y, Ning Y, Ong M. Explainable artificial intelligence in emergency medicine: an overview. Clinical and Experimental Emergency Medicine 2023;10(4):354 View
  40. Evans R, Bryant L, Russell G, Absolom K. Trust and acceptability of data-driven clinical recommendations in everyday practice: A scoping review. International Journal of Medical Informatics 2024;183:105342 View
  41. Chromik J, Flint A, Arnrich B. ARTEMIS: An alarm threshold and policy mining system for the intensive care unit. International Journal of Medical Informatics 2024;184:105349 View
  42. Morgan S. Nurse productivity: using evidence to enhance nurses’ use of time. Nursing Standard 2024;39(5):30 View
  43. Rayan A, Al-Ghabeesh S, Fawaz M, Behar A, Toumi A. Experiences, barriers and expectations regarding current patient monitoring systems among ICU nurses in a University Hospital in Lebanon: a qualitative study. Frontiers in Digital Health 2024;6 View
  44. Lee J, Rachim V, Hwang Y, Park S. Modular-Hybrid Wearable Cardiopulmonary Monitoring Sensor for Unobstructive Critical Care: With a Demonstration in Practice. IEEE Sensors Journal 2024;24(6):8763 View
  45. Knop M, Mueller M, Kaiser S, Rester C. The impact of digital technology use on nurses' professional identity and relations of power: a literature review. Journal of Advanced Nursing 2024;80(11):4346 View
  46. Mosch L, Sümer M, Flint A, Feufel M, Balzer F, Mörike F, Poncette A. Alarm Management in Intensive Care: Qualitative Triangulation Study. JMIR Human Factors 2024;11:e55571 View
  47. Aljamaan F, Malki K, Alhasan K, Jamal A, Altamimi I, Khayat A, Alhaboob A, Abdulmajeed N, Alshahrani F, Saad K, Al-Eyadhy A, Al-Tawfiq J, Temsah M. ChatGPT-3.5 System Usability Scale early assessment among Healthcare Workers: Horizons of adoption in medical practice. Heliyon 2024;10(7):e28962 View
  48. Chen H, Yang F, Duan Y, Yang L, Li J. A novel higher performance nomogram based on explainable machine learning for predicting mortality risk in stroke patients within 30 days based on clinical features on the first day ICU admission. BMC Medical Informatics and Decision Making 2024;24(1) View
  49. Holtan I. The Importance of Reporting Recurring Medical Device Issues. Journal of Clinical Engineering 2024;49(3):105 View
  50. Meyer L, Stead S, Salge T, Antons D. Artificial intelligence in acute care: A systematic review, conceptual synthesis, and research agenda. Technological Forecasting and Social Change 2024;206:123568 View
  51. Ahuja V, Nair L. Artificial Intelligence and technology in COVID Era. Journal of Anaesthesiology Clinical Pharmacology 2021;37(1):28 View
  52. Gagliardi A, Carrubbo L, Rozenes S, Fux A, Siano D. Assessing IoT integration in ICUs’ settings and management: a cross-country analysis among local healthcare organizations. Digital Policy, Regulation and Governance 2024 View
  53. Hicks N, Zhan J, Brual J, Abejirinde I, Alfred M. Escalation Pathways of Remote Patient Monitoring Programs for COVID-19 Patients in Canada and the United States: A Rapid Review. Telemedicine and e-Health 2025;31(2):129 View
  54. Al Harbi M, Alotaibi A, Alanazi A, Alsughayir F, Alharbi D, Bin Qassim A, Alkhwaiter T, Olayan L, Al Zaid M, Alsabani M. Perspectives toward the application of Artificial Intelligence in anesthesiology‐related practices in Saudi Arabia: A cross‐sectional study of physicians views. Health Science Reports 2024;7(10) View
  55. Paraschiv E, Băjenaru L, Petrache C, Bica O, Nicolau D. AI-Driven Neuro-Monitoring: Advancing Schizophrenia Detection and Management Through Deep Learning and EEG Analysis. Future Internet 2024;16(11):424 View
  56. Noteboom S, Kho E, Galanty M, Sánchez C, ten Bookum F, Veelo D, Vlaar A, van der Ster B. From intensive care monitors to cloud environments: a structured data pipeline for advanced clinical decision support. eBioMedicine 2025;111:105529 View
  57. Godbole A, Paras , Mehra M, Banerjee S, Roy P, Deb N, Jagtap S. Enhancing Infection Control in ICUS Through AI: A Literature Review. Health Science Reports 2025;8(1) View
  58. Mousania Y, Karimi S, Farmani A. Designing High-Performance SPR Biosensor Using Hybrid Structure of BifeO3 and 2D Material for SARS-CoV-2 Detection. Plasmonics 2025;20(9):7209 View
  59. Greco M, Lubian M, Cecconi M. The future of artificial intelligence in cardiovascular monitoring. Current Opinion in Critical Care 2025;31(3):354 View
  60. Jayawardena T, Baysari M, Bamgboje-Ayodele A. Interface design features of clinical decision support systems for real-time detection of deterioration: A scoping review. International Journal of Medical Informatics 2025;201:105946 View
  61. Klopfenstein S, Flint A, Heeren P, Prendke M, Chaoui A, Ocker T, Chromik J, Arnrich B, Balzer F, Poncette A. Developing a Scalable Annotation Method for Large Datasets That Enhances Alarms With Actionability Data to Increase Informativeness: Mixed Methods Approach. Journal of Medical Internet Research 2025;27:e65961 View
  62. Zhao X, Li C, Yang J, Gu X, Li B, Wang Y, Zhang B, Li X, Zhao J, Wang J, Yu W. Diagnostic report generation for macular diseases by natural language processing algorithms. British Journal of Ophthalmology 2025;109(9):1036 View
  63. Senechal E, Radeschi D, Kearney R, Shalish W, Sant'Anna G. Parents and Health Care Providers' Perspectives on Vital Signs Monitoring Technologies in the Neonatal Intensive Care Unit: An International Survey. American Journal of Perinatology 2025 View
  64. Salomez-Ihl C, Chapuis C, Bedouch P, Albaladejo P, Picard J. Assessment of a simulation-based implementation method to support the introduction of a new invasive device: a prospective cross-over study. BMJ Open Quality 2025;14(2):e003029 View
  65. Güllü A, Kanadli K. The Correlation Between Attitudes Towards Health Technologies and Professional Self‐Efficacy in Intensive Care Nurses: A Cross‐Sectional Study. International Nursing Review 2025;72(3) View
  66. Pandya A, Wadhwa M, Harshika K, Anukriti , Zafar S. An Integrated Communication Control System Framework for Hospital Setting – A Conceptual Framework to Streamline Healthcare Communication. QAI Journal for Healthcare Quality and Patient Safety 2025;6(2):59 View
  67. Ma X, Wang L, Meng S, Xu R, Chen R, Zhang X, Xin M, Zhang J, Chong Y, Luo P, Wang Y, Zhao M, Zhao M, Yang W. A retrospective cross-sectional study showing wearable smartwatches enhance patient safety and efficiency in the intensive care unit. Communications Medicine 2025;5(1) View
  68. Senechal E, Chung H, Rogers J, Sant’Anna G. A Wireless Neonatal Intensive Care Unit: Fiction or Closer Reality?. Neonatology 2025;122(5):635 View
  69. Connell K, Lin B, Figueroa H, Bethel C. The Nurse Work Environment and Staffing in Critical Care. Critical Care Nursing Clinics of North America 2025;37(4):567 View
  70. Gong J, Zhao Z, Niu X, Ji Y, Sun H, Shen Y, Chen B, Wu B. AI reshaping life sciences: intelligent transformation, application challenges, and future convergence in neuroscience, biology, and medicine. Frontiers in Digital Health 2025;7 View
  71. Gomase V, Visokar D, Chopade V. Effective Integration of Artificial Intelligence and Blockchain Technologies for Empowerment of Drug Discovery and Development. Current Drug Discovery Technologies 2025;22(6) View
  72. Qi X, Fu C, Wang X, Wang Y, Liu W. Alarm Fatigue and Job Burnout Among Intensive Care Unit Nurses: A Cross‐Sectional Study in a Tertiary Hospital in China. Nursing in Critical Care 2025;30(6) View
  73. Bhat A, Pradyumna G, Bommegowda K, Hegde R, Prabhu S. Transforming patient management: a study on secure, cost-effective, automated remote monitoring of urine bags. Scientific Reports 2025;15(1) View

Books/Policy Documents

  1. Azam I, Usman M. Emerging Technologies During the Era of COVID-19 Pandemic. View
  2. Zarnegar A. Current and Future Trends in Health and Medical Informatics. View
  3. Chromik J, Pfitzner B, Ihde N, Michaelis M, Schmidt D, Klopfenstein S, Poncette A, Balzer F, Arnrich B. Biomedical Engineering Systems and Technologies. View
  4. Singh P, Kansal M, Lahiri S, Vishnoi H, Mittal L. Enhancing Medical Imaging with Emerging Technologies. View
  5. Greenshaw A, Noble J, Kuriansky J, Sui J, Cao B, Li T, Torous J, Greiner R. Resilient Health. View
  6. Siddaiah H, Patil S, Gungor D. Moderate and Deep Sedation in Clinical Practice. View
  7. Jansari V. Advances in Artificial Intelligence Applications in Industrial and Systems Engineering. View

Conference Proceedings

  1. Kuge J, Grundgeiger T, Schlosser P, Sanderson P, Happel O. Designing Interactive Systems Conference 2021. Design and Evaluation of a Head-Worn Display Application for Multi-Patient Monitoring View
  2. Staron M, Herges H, Naredi S, Block L, El-Merhi A, Vithal R, Elam M. 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI (WAIN). Robust Machine Learning in Critical Care — Software Engineering and Medical Perspectives View
  3. Grießhaber N, Mörike F. Mensch und Computer 2021. Von Bedrohung bis kollaborative Partnerschaft: View
  4. Rana V, Le Nguyen T, Raghava V, Menon P. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Intelligent patient monitoring for proactive alerting of key personnel in intensive care: A single-center study View
  5. Jeffcock J, Hansen M, Ruiz Garate V. Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction. Transformers and Human-robot Interaction for Delirium Detection View
  6. Makho G, Ho S, Chai I. 3RD INTERNATIONAL CONFERENCE ON COMPUTER, INFORMATION TECHNOLOGY, AND INTELLIGENT COMPUTING (CITIC2023). Exploring the potential of artificial intelligence in the medical sector for patient well-being: A review View
  7. Linhares P, Wanderley P, de Sousa Zaranza M, Rodrigues M, Mendonça N. 2025 IEEE 22nd International Conference on Software Architecture Companion (ICSA-C). Design and Evaluation of an Event-Driven Cloud-Based Architecture for a Remote Patient Monitoring System View