Preventing Medication Mismanagement in People Living with Dementia Through Automated Medication Dispensing with Facial Recognition and Video Observation

Globally, \>47M individuals live with dementia, with new incidence of 7.7M annually. Medication mismanagement is one of the most common and concerning risk factors in people with dementia (PwD), as it leads to undertreatment, emergency room visits, hospital admissions/readmissions, and serious adverse events. 3M older U.S. adults are admitted to nursing homes due to drug-related adherence problems with costs \>$14B/year. Furthermore, 30% of hospital admissions of older adults are drug related with 11% attributed to medication non-adherence and 17% to adverse drug reactions. While Alzheimer's disease (AD) \& type 2 diabetes mellitus (DM) individually have considerable morbidity \& mortality, they often occur together, worsening adverse outcomes, quality of life, \& care costs. This is especially true as the AD/DM combination creates a complex balancing act of med management \& symptom monitoring in older populations. While the goal is to keep older adults with dementia at home as long as possible, these challenges lead to untold personal \& family suffering, as well as billions in potentially avoidable healthcare costs annually. The HiDO-ALZ platform will solve these challenges by automating medication administration for PwD to eliminate mismanagement, decrease caregiver burden, reduce healthcare utilization, and facilitate PwD to age in place. HiDO is being developed as an automated, AI driven medication dispensing and direct observation platform to optimize adherence. The device integrates medication dispensing, dose administration time, medication synchronization, \& pair of front-facing cameras to validate the right meds, right route, right time, right dosage to the right patient (5R's). Cameras record every dose using facial recognition \& provide real -time medication consumption recordings. Through cloud connectivity, providers \& caregivers have access to video observation logs, dose administration time, adherence trends, \& longitudinal adherence via web das