A Prediction Model of In-Patient Deteriorations Based on Passive Vital Signs Monitoring Technology

Maidel, Veronica; Davidovich, Maayan L. Yizraeli; Shinar, Zvika; Klap, Tal

doi:10.23919/cinc53138.2021.9662864

Cited by 3 publications

(1 citation statement)

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“…In current PRM programs, healthcare facilities provide the patient with a remote patient monitoring kit that includes a set of devices and requires the patients themselves to monitor their health condition on average three times per day, depending on the physician's treatment plan [49]. This RPM kit usually consists of devices such as a pulse oximeter, thermometer, and scale so the patient can carry out spot-checks throughout the day [50]. Devices that continuously collect and monitor patient data, however, can be better indicators of a patient's actual health rather than just a snapshot, especially when said snapshots can be inaccurate from factors such as white coat syndrome (increased blood pressure due to physically being in a healthcare setting [51]).…”

Section: Necessity For Continuous Datamentioning

confidence: 99%

Introducing the Pi-CON Methodology to Overcome Usability Deficits during Remote Patient Monitoring

Baumann,

Stone,

Kim

2024

Sensors

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The adoption of telehealth has soared, and with that the acceptance of Remote Patient Monitoring (RPM) and virtual care. A review of the literature illustrates, however, that poor device usability can impact the generated data when using Patient-Generated Health Data (PGHD) devices, such as wearables or home use medical devices, when used outside a health facility. The Pi-CON methodology is introduced to overcome these challenges and guide the definition of user-friendly and intuitive devices in the future. Pi-CON stands for passive, continuous, and non-contact, and describes the ability to acquire health data, such as vital signs, continuously and passively with limited user interaction and without attaching any sensors to the patient. The paper highlights the advantages of Pi-CON by leveraging various sensors and techniques, such as radar, remote photoplethysmography, and infrared. It illustrates potential concerns and discusses future applications Pi-CON could be used for, including gait and fall monitoring by installing an omnipresent sensor based on the Pi-CON methodology. This would allow automatic data collection once a person is recognized, and could be extended with an integrated gateway so multiple cameras could be installed to enable data feeds to a cloud-based interface, allowing clinicians and family members to monitor patient health status remotely at any time.

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Section: Necessity For Continuous Datamentioning

confidence: 99%