Free Access
Issue |
J Extra Corpor Technol
Volume 53, Number 4, December 2021
|
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Page(s) | 286 - 292 | |
DOI | https://doi.org/10.1051/ject/202153286 | |
Published online | 15 December 2021 |
- Mongero LB. Will real-time monitoring technology be a game changer for perfusion safety? J Extra Corpor Technol. 2017;49:P19–P24. [Google Scholar]
- Steffens TG, Gunser JM, Saviello GM. Perfusion electronic record documentation using Epic Systems software. J Extra Corpor Technol. 2015;47:237–41. [Google Scholar]
- Frazee RC, Cames A, Munoz Maldonado Y, et al. The impact of electronic medical record implementation on operating room efficiency. J Hosp Adm. 2015;5:48–51. [Google Scholar]
- Meyfroidt G. How to implement information technology in the operating room and the intensive care unit. Best Pract Res Clin Anaesthesiol. 2009;23:1–14. [CrossRef] [Google Scholar]
- Mador RL, Shaw NT. The Impact of a critical care information system (CCIS) on time spent charting and in direct patient care by staff in the ICU: A review of literature. Int J Med Inform. 2009;78:435–45. [CrossRef] [Google Scholar]
- Hollenberg JP, Pirraglia PA, Williams-Russo P, et al. Computerized data collection in the operating room during coronary artery bypass surgery: A comparison to the hand-written record. J Cardiothorac Vasc Anesth. 1997;11:545–51. [CrossRef] [Google Scholar]
- Kumah-Crystal YA, Pirtle CJ, Whyte HM, et al. Electronic health record interactions through voice: A review. Appl Clin Inform. 2018;9:541–52. [CrossRef] [Google Scholar]
- Roukema J, Los RK, Bleeker SE, et al. Paper versus computer: Feasibility of an electronic medical record in general pediatrics. Pediatrics. 2006;117:15–21. [CrossRef] [PubMed] [Google Scholar]
- Alapetite A. Speech recognition for the anaesthesia record during crisis scenarios. Int J Med Inform. 2008;77:448–60. [CrossRef] [Google Scholar]
- Mewes A, Hensen B, Wacker F, et al. Touchless interaction with software in interventional radiology and surgery: A systematic literature review. Int J CARS. 2017;12:291–305. [CrossRef] [PubMed] [Google Scholar]
- Beck JR, Fung K, Lopez H, et al. Real-time data acquisition and alerts may reduce reaction time and improve perfusionist performance during cardiopulmonary bypass. Perfusion. 2015;30:41–4. [CrossRef] [PubMed] [Google Scholar]
- American Society of Extracorporeal Technology. Standards and Guidelines for Perfusion Practice. 2017. Available at: http://www.amsect.org/perfusion-safety/standards-and-guidelines/. [Google Scholar]
- Baker RA, Newland RF. Continuous quality improvement of perfusion practice: The role of electronic data collection and statistical control charts. Perfusion. 2008;23:7–16. [CrossRef] [PubMed] [Google Scholar]
- Hu F, Xie D, Shen S. On the application of the internet of things in the field of medical and health care. In 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing. IEEE. 2013:2053–8. [Google Scholar]
- Ventola CL. Mobile devices and apps for health care professionals: Uses and benefits. P&T. 2014;39:356–64. [Google Scholar]
- Riley JB, Justison GA. Perfusion electronic record documentation using Epic Systems software. J Extra Corpor Technol. 2015;47:242–4. [Google Scholar]
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