Polypharmacy and medication review
Older adults often take many medications with interaction risk. Geriatrics AI can support polypharmacy review, surfacing interactions, duplications, and deprescribing opportunities for the geriatrician to weigh.
Geriatrics AI is about the whole-person complexity of older-adult care: managing multimorbidity and polypharmacy, assessing fall risk, supporting cognitive and dementia assessment, and tracking functional status and frailty. Geriatrics deals with patients who carry many conditions, many medications, and shifting functional and cognitive status, so AI has to hold that complexity together rather than treating one problem at a time. Taction Software builds geriatrics AI as custom, EHR-integrated software tuned to older-adult care, with geriatricians in control of every clinical decision. This page establishes geriatrics AI as a distinct specialty capability within our broader specialty clinic AI work. We are a healthcare-focused engineering team, founded in 2013, and every build runs under a signed BAA.

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Geriatrics AI has to be tuned to older-adult care, because geriatrics is defined by multimorbidity, polypharmacy, fall and cognitive risk, and changing functional status, an interacting complexity that generic single-problem AI cannot hold. Geriatricians manage patients with many conditions and medications at once, watch for falls and cognitive decline, and track function and frailty over time. Generic AI misses the interactions between conditions and drugs and the whole-person picture geriatrics depends on. The right geriatrics AI supports polypharmacy review, fall risk, cognitive assessment, and functional tracking together, all with the geriatrician in control. A partner who understands geriatrics builds for interacting complexity, not isolated problems. Below are the six areas where geriatrics AI delivers the most value.
Older adults often take many medications with interaction risk. Geriatrics AI can support polypharmacy review, surfacing interactions, duplications, and deprescribing opportunities for the geriatrician to weigh.
Geriatric patients carry multiple interacting conditions. Geriatrics AI can help hold the multimorbidity picture together, surfacing how conditions and treatments interact rather than treating each in isolation.
Falls are a major geriatric risk. Geriatrics AI can support fall risk assessment by surfacing contributing factors, helping geriatricians identify and address risk before a fall occurs.
Cognitive decline is central to geriatric care. Geriatrics AI can support cognitive and dementia assessment workflows, helping geriatricians track cognition and manage dementia over time.
Function and frailty drive geriatric decisions. Geriatrics AI can track functional status and frailty over time, helping geriatricians see decline and align care and goals accordingly.
Geriatrics depends on a complete picture across conditions, medications, and function. Geriatrics AI must integrate the whole-person record so it works from the full complexity older-adult care requires.
Taction Software builds geriatrics AI by designing for the interacting complexity of older-adult care, not by applying a single-problem model. We build polypharmacy review, multimorbidity support, fall risk, cognitive assessment, and functional tracking on your own data, integrated across the whole-person record geriatrics depends on, with geriatricians in control. Rather than a generic build, we scope your geriatric population, complexity, and data sources first, then build to the specialty. Most engagements start with a Discovery Sprint that maps the geriatrics workflow and data, then move into a production-ready build. The result is geriatrics AI that holds the whole-person picture and supports the geriatrician’s decisions across a complex population.
We build polypharmacy review that surfaces interactions, duplications, and deprescribing opportunities, connecting to our AI care plan generation work, for geriatrician judgment.
We build support that holds the multimorbidity picture together, surfacing how conditions and treatments interact rather than in isolation.
We build fall risk assessment that surfaces contributing factors, connecting to our AI patient risk stratification work, so geriatricians address risk early.
We build cognitive and dementia assessment workflow support, helping geriatricians track cognition and manage dementia over time.
We build functional status and frailty tracking, helping geriatricians see decline and align care and goals accordingly.
We integrate the whole-person record across conditions, medications, and function, drawing on ambient clinical documentation, so geriatrics AI works from the full picture.
Engagements follow the same fixed-price productized tiers we use across our healthcare AI work, so cost and scope are clear before the build starts.
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Geriatrics AI can support polypharmacy and medication review, help manage multimorbidity, assess fall risk, support cognitive and dementia assessment, and track functional status and frailty, all on your own data and with geriatricians in control. It is tuned to the interacting complexity of older-adult care rather than being a generic single-problem model applied to geriatrics.
Geriatrics is defined by interacting complexity, multimorbidity, polypharmacy, fall and cognitive risk, and changing function, rather than a single organ system or disease. Other specialty AI tends to focus on one clinical domain. Geriatrics AI is tuned to hold the whole-person picture together and surface how conditions, drugs, and function interact.
Yes. Older adults often take many medications with real interaction risk, so geriatrics AI can support polypharmacy review by surfacing interactions, duplications, and deprescribing opportunities for the geriatrician to weigh. The AI surfaces the medication picture and risks, but the geriatrician makes every prescribing and deprescribing decision, with the AI supporting rather than automating judgment.
Yes. Falls are a major geriatric risk, so geriatrics AI can support fall risk assessment by surfacing contributing factors, drawing on our risk stratification work, helping geriatricians identify and address risk before a fall occurs. This lets the geriatrician focus preventive attention on the patients most at risk across the population.
Yes. Function and frailty drive many geriatric decisions, so geriatrics AI can track functional status and frailty over time, helping geriatricians see decline and align care and goals accordingly. Tracking this longitudinally supports both day-to-day management and larger goals-of-care conversations as a patient’s function changes.
Yes. Most practices start with a Discovery Sprint and a production-ready build for one use case, such as polypharmacy review or fall risk, which keeps early cost contained while proving value. Geriatrics AI can then expand to multimorbidity support, cognitive assessment, and functional tracking once the first build demonstrates results.
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