Patient monitoring, equipment, and intravenous fluids

Radio-based signalling devices will play an important role in future generations of remote patient monitoring equipment, both at home and in hospital. Ultimately, it will be possible to sample vital signs from patients, whatever their location and without them necessarily being aware that a measurement is being taken. This paper reviews current methods for the transmission by radio of physiological parameters over ranges of 0.3, 3 and 30 m, and describes the radiofrequency hardware required and the carrier frequencies commonly used. Future developments, including full duplex systems and the use of more advanced modulation schemes, are described. The paper concludes with a case study of a human temperature telemeter built to indicate ovulation. Clinical results clearly show the advantage to be had in adopting radio biotelemetry in this instance.

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Event Detection on Patient Monitoring Data Using Causal Probabilistic Networks

Methods of Information in Medicine ◽

10.1055/s-0038-1634970 ◽

1994 ◽

Vol 33 (01) ◽

pp. 111-115 ◽

Cited By ~ 12

Author(s):

P. Laursen

Keyword(s):

Time Use ◽

Event Detection ◽

Patient Monitoring ◽

Intensive Care Patient ◽

Care Patient ◽

False Alarms ◽

Probabilistic Networks ◽

Monitoring Equipment ◽

Number Of False Alarms ◽

Representation Technique

Abstract:Applications are described of the knowledge-representation technique Causal Probabilistic Networks for the detection of events related to the patient and the monitoring equipment, in the context of intensive care patient monitoring. The purpose of the event detection is to reduce the number of false alarms generated by the patient monitor, and to generate alarms related to patient or equipment events rather than to threshold violation. A PC-based system has been developed and tested on patient data. A system for real-time use in patient monitoring is under development.

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Patient monitoring and monitoring equipment

BSAVA Manual of Canine and Feline Anaesthesia and Analgesia ◽

10.22233/9781910443231.7 ◽

2016 ◽

pp. 77-96 ◽

Cited By ~ 5

Author(s):

Stijn Schauvliege

Keyword(s):

Patient Monitoring ◽

Monitoring Equipment

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Multiuse patient monitoring equipment as a risk factor for acquisition of Candida auris

10.1101/149054 ◽

2017 ◽

Cited By ~ 6

Author(s):

Hilary Madder ◽

Ian Moir ◽

Ruth Moroney ◽

Lisa Butcher ◽

Robert Newnham ◽

...

Keyword(s):

Risk Factor ◽

Patient Monitoring ◽

Candida Auris ◽

Monitoring Equipment

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Patient Monitoring Equipment: Problems of Interference and Electrical Safety

Proceedings of the Royal Society of Medicine ◽

10.1177/003591577306601010 ◽

1973 ◽

Vol 66 (10) ◽

pp. 981-982

Author(s):

A K Dobbie

Keyword(s):

Patient Monitoring ◽

Electrical Safety ◽

Monitoring Equipment

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Behavioral responses to a cyber attack in a hospital environment

Scientific Reports ◽

10.1038/s41598-021-98576-7 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Markus Willing ◽

Christian Dresen ◽

Eva Gerlitz ◽

Maximilian Haering ◽

Matthew Smith ◽

...

Keyword(s):

Patient Monitoring ◽

Hospital Environment ◽

Qualitative Behavior ◽

Intermediate Care ◽

Cyber Attack ◽

Monitoring Equipment ◽

Training Environment ◽

High Performing ◽

Intensive Care Nurses ◽

Analog Systems

AbstractTechnical and organizational steps are necessary to mitigate cyber threats and reduce risks. Human behavior is the last line of defense for many hospitals and is considered as equally important as technical security. Medical staff must be properly trained to perform such procedures. This paper presents the first qualitative, interdisciplinary research on how members of an intermediate care unit react to a cyberattack against their patient monitoring equipment. We conducted a simulation in a hospital training environment with 20 intensive care nurses. By the end of the experiment, 12 of the 20 participants realized the monitors’ incorrect behavior. We present a qualitative behavior analysis of high performing participants (HPP) and low performing participants (LPP). The HPP showed fewer signs of stress, were easier on their colleagues, and used analog systems more often than the LPP. With 40% of our participants not recognizing the attack, we see room for improvements through the use of proper tools and provision of adequate training to prepare staff for potential attacks in the future.

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