The Pi-CON Methodology Applied: Operator Errors and Preference Tracking of a Novel Ubiquitous Vital Signs Sensor and Its User Interface

Baumann, Steffen; Stone, Richard; Genschel, Ulrike; Mgaedeh, Fatima

doi:10.1080/10447318.2023.2201552

Cited by 5 publications

(3 citation statements)

References 115 publications

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“…Masked hypertension, for instance, is a phenomenon where patients show normal blood pressure while at a healthcare facility, but outside of this controlled environment, blood pressure increases due to various conditions [ 49 ]. Baumann et al [ 50 ] researched this further and found that 22% of all participants have concerns that results may be impacted when patients are not in a controlled healthcare environment during an exam.…”

Section: Previous Workmentioning

confidence: 99%

“…It is also important to implement user-centered design and listen to the device users, as poor user interface designs can impede usability, including device operation speed, ease of use, and emotional appeal [ 50 , 60 ]. In addition, malfunctioning displays can hinder user interaction and data visualization, which is crucial for operating the device.…”

Section: Previous Workmentioning

confidence: 99%

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Introducing a Remote Patient Monitoring Usability Impact Model to Overcome Challenges

Baumann,

Stone,

Abdelall

2024

Sensors

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Telehealth and remote patient monitoring (RPM), in particular, have been through a massive surge of adoption since 2020. This initiative has proven potential for the patient and the healthcare provider in areas such as reductions in the cost of care. While home-use medical devices or wearables have been shown to be beneficial, a literature review illustrates challenges with the data generated, driven by limited device usability. This could lead to inaccurate data when an exam is completed without clinical supervision, with the consequence that incorrect data lead to improper treatment. Upon further analysis of the existing literature, the RPM Usability Impact model is introduced. The goal is to guide researchers and device manufacturers to increase the usability of wearable and home-use medical devices in the future. The importance of this model is highlighted when the user-centered design process is integrated, which is needed to develop these types of devices to provide the proper user experience.

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Section: Previous Workmentioning

confidence: 99%

Section: Previous Workmentioning

confidence: 99%

Introducing a Remote Patient Monitoring Usability Impact Model to Overcome Challenges

Baumann,

Stone,

Abdelall

2024

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Despite the many upsides of home use medical equipment in improving patient care, the accuracy and validity of these physiological metrics is a significant cause of concern among patients [17] and clinicians [18]. In a study performed in 2009, for example, the accuracy of 554 automated blood pressure devices was studied, with only 30% of the devices showing acceptable accuracy [19].…”

Section: Introductionmentioning

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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Applying user-centered design and the Pi-CON methodology for vital signs sensor development

Baumann,

Stone

2023

Journal of Medical Engineering & Technology

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The Pi-CON Methodology Applied: Operator Errors and Preference Tracking of a Novel Ubiquitous Vital Signs Sensor and Its User Interface

Cited by 5 publications

References 115 publications

Introducing a Remote Patient Monitoring Usability Impact Model to Overcome Challenges

Introducing a Remote Patient Monitoring Usability Impact Model to Overcome Challenges

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

Applying user-centered design and the Pi-CON methodology for vital signs sensor development

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