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Currently submitted to: Journal of Medical Internet Research

Date Submitted: Jul 12, 2025

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Preventing Medication Mismanagement in People Living with Dementia through Automated Medication Dispensing with Facial Recognition and Video Observation: an usability study

  • Santosh Basapur; 
  • Charles Gellman; 
  • Jamie Plenge; 
  • Amelia Troutman; 
  • Erin Yurko; 
  • Brandon Woolsey; 
  • Justin McClendon; 
  • Neelum T. Aggarwal

ABSTRACT

Background:

Medication mismanagement is one of the most prevalent and concerning risk factors for persons living with dementia (PlwD) living at home, contributing to preventable hospitalizations, adverse drug events, and an increased caregiver burden. Each year, over 3 million older U.S. adults are admitted to nursing homes due to medication-related adherence problems. PlwD often manage complex regimens involving multiple medications where errors and challenges in medication consumption are significantly prone. Medication adherence is a critical yet often unmet need in dementia care, with traditional systems like pill bottles and manual tracking proving insufficient. HiDO is an automated, artificial intelligence (AI)-driven, medication dispensing and direct observation platform designed to optimize adherence. The innovative device integrates medication delivery, dose timing, medication synchronization, and a pair of front-facing video cameras to validate the right medications, right route, right time, right dosage to the right patient (5R’s).

Objective:

The study objective was to obtain pilot end-user validation through usability testing with the goal of creating an automated, secure, AI-driven medication delivery and observation platform to maximize therapy compliance and health outcomes for PlwDs.

Methods:

PlwDs with mild cognitive impairment or early-stage dementia (Montreal Cognitive Assessment (MoCA) score of 18 to 24, inclusive) and their caregivers were recruited for in-person usability testing in the Midwest region of the US. After written informed consent was obtained, dyads learned about the HiDO device and watched a demonstration of its set-up and typical usage. Dyads were then asked to complete a series of tasks using the device and to evaluate its ease of use. Subjective feedback was elicited using a semi-structured interview process. It was expected that device setup would take less than 5 minutes, at least 75% of all tasks would be successfully completed, and no more than one non-critical error would occur per dyad. Following usability testing, dyads also completed the System Usability Scale (SUS).

Results:

Fifteen dyads were recruited in the Midwest region of the US. The mean SUS score was 80, suggesting high usability and typically placing the system in the top 10-15% of products evaluated with the scale. Two critical and 13 non-critical errors were experienced. Minor device adjustments could enhance usability further. Themes in qualitative comments regarding usability included: a) Positive Perceptions of Innovation; b) Perceived Usefulness for Polypharmacy; c) Size and Placement Constraints; d) Accessibility and Display Preferences; and e) Need for Setup Guidance and Support Features for Care givers.

Conclusions:

This usability study provides an understanding of how PlwDs perceived the HiDO device, its utility, and its usability. Most participants found the device usable; those who had minor usability issues suggested corrective design actions. The results are limited by the set of 15 dyads. Further utility, technology effectiveness, and usability testing in a larger cohort and an in-field trial are necessary. Clinical Trial: NCT06691256


 Citation

Please cite as:

Basapur S, Gellman C, Plenge J, Troutman A, Yurko E, Woolsey B, McClendon J, Aggarwal NT

Preventing Medication Mismanagement in People Living with Dementia through Automated Medication Dispensing with Facial Recognition and Video Observation: an usability study

JMIR Preprints. 12/07/2025:80251

DOI: 10.2196/preprints.80251

URL: https://preprints.jmir.org/preprint/80251

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