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

Adoption and Change Management of eHealth Systems (731) User Needs and Competencies (311)

Published on in Vol 7, No 2 (2019): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13064, first published .
Clinical Requirements of Future Patient Monitoring in the Intensive Care Unit: Qualitative Study

Clinical Requirements of Future Patient Monitoring in the Intensive Care Unit: Qualitative Study

Clinical Requirements of Future Patient Monitoring in the Intensive Care Unit: Qualitative Study

Authors of this article:

Akira-Sebastian Poncette1, 2 Author Orcid Image ;   Claudia Spies1 Author Orcid Image ;   Lina Mosch1 Author Orcid Image ;   Monique Schieler1 Author Orcid Image ;   Steffen Weber-Carstens1 Author Orcid Image ;   Henning Krampe1 Author Orcid Image ;   Felix Balzer1, 2 Author Orcid Image
Article Authors Cited by (63) Tweetations (11) Metrics

Journals

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  4. Poncette A, Mosch L, Spies C, Schmieding M, Schiefenhövel F, Krampe H, Balzer F. Improvements in Patient Monitoring in the Intensive Care Unit: Survey Study. Journal of Medical Internet Research 2020;22(6):e19091 View
  5. Al-Qatatsheh A, Morsi Y, Zavabeti A, Zolfagharian A, Salim N, Z. Kouzani A, Mosadegh B, Gharaie S. Blood Pressure Sensors: Materials, Fabrication Methods, Performance Evaluations and Future Perspectives. Sensors 2020;20(16):4484 View
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  8. Thakur A, Soklaridis S, Crawford A, Mulsant B, Sockalingam S. Using Rapid Design Thinking to Overcome COVID-19 Challenges in Medical Education. Academic Medicine 2021;96(1):56 View
  9. Lewandowska K, Weisbrot M, Cieloszyk A, Mędrzycka-Dąbrowska W, Krupa S, Ozga D. Impact of Alarm Fatigue on the Work of Nurses in an Intensive Care Environment—A Systematic Review. International Journal of Environmental Research and Public Health 2020;17(22):8409 View
  10. Schwartz J, Moy A, Rossetti S, Elhadad N, Cato K. Clinician involvement in research on machine learning–based predictive clinical decision support for the hospital setting: A scoping review. Journal of the American Medical Informatics Association 2021;28(3):653 View
  11. Sakib N, Ahamed S, Khan R, Griffin P, Haque M. Unpacking Prevalence and Dichotomy in Quick Sequential Organ Failure Assessment and Systemic Inflammatory Response Syndrome Parameters: Observational Data–Driven Approach Backed by Sepsis Pathophysiology. JMIR Medical Informatics 2020;8(12):e18352 View
  12. Buchanan C, Howitt M, Wilson R, Booth R, Risling T, Bamford M. Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review. JMIR Nursing 2020;3(1):e23939 View
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  14. Poncette A, Wunderlich M, Spies C, Heeren P, Vorderwülbecke G, Salgado E, Kastrup M, Feufel M, Balzer F. Patient Monitoring Alarms in an Intensive Care Unit: Observational Study With Do-It-Yourself Instructions. Journal of Medical Internet Research 2021;23(5):e26494 View
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  19. Kim M, Oh J, Kim J, Park J. Development and Validation of Simplified Delirium Prediction Model in Intensive Care Unit. Frontiers in Psychiatry 2022;13 View
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  22. Chromik J, Klopfenstein S, Pfitzner B, Sinno Z, Arnrich B, Balzer F, Poncette A. Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature review. Frontiers in Digital Health 2022;4 View
  23. 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
  24. Grunow J, Nydahl P, Schaller S. Mobilisation auf Intensivstationen: Intensivpflegezimmer und Medizintechnik können helfen. AINS - Anästhesiologie · Intensivmedizin · Notfallmedizin · Schmerztherapie 2022;57(01):41 View
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  26. Shih Y, Lee T, Mills M. Critical Care Nurses' Perceptions of Clinical Alarm Management on Nursing Practice. CIN: Computers, Informatics, Nursing 2022;40(6):389 View
  27. 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
  28. López‐Espuela F, Rodríguez‐Martin B, Lavado García J, Toribio‐Felipe R, Amarilla‐Donoso F, Rodríguez Almagro J, Ribeiro A, Fernandes V, Moran‐García J. Experiences and mediating factors in nurses' responses to electronic device alarms: A phenomenological study. Journal of Nursing Management 2022;30(5):1303 View
  29. Bacchin D, Pernice G, Pierobon L, Zanella E, Sardena M, Malvestio M, Gamberini L. Co-Design in Electrical Medical Beds with Caregivers. International Journal of Environmental Research and Public Health 2022;19(23):16353 View
  30. Obeidat B, Younis M, Al-Shlool E, Alzouby A. A Study of Workspace Design Characteristics Exemplified by Nurses’ Satisfaction Within Three Intensive Care Units in a University Hospital. HERD: Health Environments Research & Design Journal 2022;15(2):63 View
  31. Wetli D, Bergauer L, Nöthiger C, Roche T, Spahn D, Tscholl D, Said S. Improving Visual-Patient-Avatar Design Prior to Its Clinical Release: A Mixed Qualitative and Quantitative Study. Diagnostics 2022;12(2):555 View
  32. Movahedi A, Sadooghiasl A, Ahmadi F, Vaismoradi M. A grounded theory study of alarm fatigue among nurses in intensive care units. Australian Critical Care 2023;36(6):980 View
  33. Krampe H, Denke C, Gülden J, Mauersberger V, Ehlen L, Schönthaler E, Wunderlich M, Lütz A, Balzer F, Weiss B, Spies C. Perceived Severity of Stressors in the Intensive Care Unit: A Systematic Review and Semi-Quantitative Analysis of the Literature on the Perspectives of Patients, Health Care Providers and Relatives. Journal of Clinical Medicine 2021;10(17):3928 View
  34. Gallagher K, Hayns-Worthington R, Marlow N, Meek J, Chant K. Parental experiences of live video streaming technology in neonatal care in England: a qualitative study. BMC Pediatrics 2023;23(1) View
  35. Woo J, Kim E, Kim S. The current status of breakthrough devices designation in the United States and innovative medical devices designation in Korea for digital health software. Expert Review of Medical Devices 2022;19(3):213 View
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  37. Tsopra R, Peiffer-Smadja N, Charlier C, Campeotto F, Lemogne C, Ruszniewski P, Vivien B, Burgun A. Putting undergraduate medical students in AI-CDSS designers’ shoes: An innovative teaching method to develop digital health critical thinking. International Journal of Medical Informatics 2023;171:104980 View
  38. Martin L, Peine A, Gronholz M, Marx G, Bickenbach J. Künstliche Intelligenz: Herausforderungen und Nutzen in der Intensivmedizin. AINS - Anästhesiologie · Intensivmedizin · Notfallmedizin · Schmerztherapie 2022;57(03):199 View
  39. 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
  40. Livia J, Márquez Miramontes B, Campos Pérez R, Leiner de la Cabada M. Comparación de estrategias multimodales para mejorar el reconocimiento de los hitos del desarrollo infantil entre los proveedores de servicios de guardería durante una conferencia virtual o presencial. Investigación en Enfermería: Imagen y Desarrollo 2023;25 View
  41. Gupta N, Simmen P, Trachsel D, Haeberlin A, Jost K, Niederhauser T. Respiratory rate estimation from multi-channel signals using auto-regulated adaptive extended Kalman filter. Biomedical Signal Processing and Control 2023;84:104977 View
  42. 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
  43. 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
  44. Kim J, Ryan K, Kasun M, Hogg J, Dunn L, Roberts L. Physicians’ and Machine Learning Researchers’ Perspectives on Ethical Issues in the Early Development of Clinical Machine Learning Tools: Qualitative Interview Study. JMIR AI 2023;2:e47449 View
  45. 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
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  53. 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
  54. Wunderlich M, Frey N, Amende-Wolf S, Hinrichs C, Balzer F, Poncette A. Alarm Management in Provisional COVID-19 Intensive Care Units: Retrospective Analysis and Recommendations for Future Pandemics. JMIR Medical Informatics 2024;12:e58347 View
  55. Tajari M, Ashktorab T, Ebadi A, Zayeri F. Designing and psychometric evaluation of safe nursing care instrument in intensive care units. BMC Nursing 2024;23(1) View
  56. Bikou A, Deligianni E, Dermiki-Gkana F, Liappas N, Teriús-Padrón J, Beltrán Jaunsarás M, Cabrera-Umpiérrez M, Kontogiorgis C. Improving Participant Recruitment in Clinical Trials: Comparative Analysis of Innovative Digital Platforms. Journal of Medical Internet Research 2024;26:e60504 View
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Books/Policy Documents

  1. Poncette A, Meske C, Mosch L, Balzer F. Human Interface and the Management of Information. Information in Intelligent Systems. View
  2. Geoffrey Chase J, Zhou C, Knopp J, Moeller K, Benyo B, Desaive T, Wong J, Malinen S, Naswall K, Shaw G, Lambermont B, Chiew Y. Cyber–Physical–Human Systems. View