scholarly journals A Tablet PC based System for Ubiquitous Patient Monitoring and Smart Alert Generation in an Intensive Care Unit

2013 ◽  
Vol 67 (6) ◽  
pp. 1-6 ◽  
Author(s):  
Joms Antony
2018 ◽  
Vol 38 (8) ◽  
pp. 1030-1038 ◽  
Author(s):  
Taibo Li ◽  
Minoru Matsushima ◽  
Wendy Timpson ◽  
Susan Young ◽  
David Miedema ◽  
...  

2020 ◽  
Author(s):  
Lina Katharina Mosch ◽  
Akira-Sebastian Poncette ◽  
Claudia Spies ◽  
Steffen Weber-Carstens ◽  
Monique Schieler ◽  
...  

BACKGROUND Despite the vast potential, the digital transformation of intensive care is lagging behind. Comprehensive evidence, along with guidelines for a successful integration of digital health technologies into specific clinical settings such as the intensive care unit (ICU), are scarce—yet essential. OBJECTIVE We evaluated the implementation of a remote patient monitoring platform and derived an implementation framework proposal for digital health technology in an ICU. METHODS We conducted this study from May 2018 to March 2020 during the implementation of a tablet-computer based remote patient monitoring system. The system was installed in the ICU of a large German university hospital as a supplementary monitoring device. Following a hybrid qualitative approach with inductive and deductive elements, we used the Consolidated Framework for Implementation Research and the Expert Recommendations for Implementing Change to analyze the transcripts of seven semi-structured interviews with ICU clinical stakeholders and quantifiable questionnaire data. Results of the qualitative analysis, together with the findings from informal meetings, field observations, and previous explorations, provided the basis for the derivation of the proposed framework. RESULTS Inductive analysis of the interview transcripts revealed an insufficient implementation process because of a lack of staff engagement and little perceived benefits from the novel solution. The ICU was not considered the most suitable for remote patient monitoring, as the staff’s presence and monitoring coverage were high. We propose an implementation framework for digital technologies, including strategies to apply before and during implementation, targeting the implementation setting by involving all stakeholders, assessing the intervention’s adaptability, facilitating the implementation process, and maintaining a vital feedback culture. Setting up a unit responsible for implementation, taking into account the guidance of an implementation advisor, and building on existing institutional capacities could improve the institutional context of implementation projects. CONCLUSIONS The ICU provides an exceptional setting for the introduction of digital health technology because it is a high-tech environment involving multiple professions and high-stress levels. Before implementation, the need for innovation and the ICU’s readiness to change should be assessed. During implementation, a clinical team should ensure transparent communication and continuous feedback. The establishment of an implementation unit is recommended to promote a sustainable implementation culture and to benefit from existing networks. Our proposed framework may guide health providers with concrete, evidence-based, and step-by-step recommendations for implementation practice facilitating the introduction of digital health in intensive care. CLINICALTRIAL ClinicalTrials.gov NCT03514173; https://clinicaltrials.gov/ct2/show/NCT03514173


2010 ◽  
Vol 112 (2) ◽  
pp. 282-287 ◽  
Author(s):  
Andreas H. Taenzer ◽  
Joshua B. Pyke ◽  
Susan P. McGrath ◽  
George T. Blike

Background Some preventable deaths in hospitalized patients are due to unrecognized deterioration. There are no publications of studies that have instituted routine patient monitoring postoperatively and analyzed impact on patient outcomes. Methods The authors implemented a patient surveillance system based on pulse oximetry with nursing notification of violation of alarm limits via wireless pager. Data were collected for 11 months before and 10 months after implementation of the system. Concurrently, matching outcome data were collected on two other postoperative units. The primary outcomes were rescue events and transfers to the intensive care unit compared before and after monitoring change. Results Rescue events decreased from 3.4 (1.89-4.85) to 1.2 (0.53-1.88) per 1,000 patient discharges and intensive care unit transfers from 5.6 (3.7-7.4) to 2.9 (1.4-4.3) per 1,000 patient days, whereas the comparison units had no change. Conclusions Patient surveillance monitoring results in a reduced need for rescues and intensive care unit transfers.


Author(s):  
Akira-Sebastian Poncette ◽  
Maximilian Markus Wunderlich ◽  
Claudia Spies ◽  
Patrick Heeren ◽  
Gerald Vorderwülbecke ◽  
...  

10.2196/13064 ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. e13064 ◽  
Author(s):  
Akira-Sebastian Poncette ◽  
Claudia Spies ◽  
Lina Mosch ◽  
Monique Schieler ◽  
Steffen Weber-Carstens ◽  
...  

2018 ◽  
Vol 38 (8) ◽  
pp. 1124-1124
Author(s):  
Taibo Li ◽  
Minoru Matsushima ◽  
Wendy Timpson ◽  
Susan Young ◽  
David Miedema ◽  
...  

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