Electronic Health Records for dementia care research in 2026 mean scientists study routine clinic records to predict risk and track care. For adult children, these studies offer useful signals but miss many real cases. Electronic Health Records, or EHRs, are the notes, visit codes, labs, and medication lists created during normal care. Researchers reuse those everyday files to find patterns, test detection tools, and follow large groups over time.
Medical information disclaimer: This article is for general educational purposes only and does not provide medical advice, diagnosis, or treatment. Always consult a physician or other qualified health professional about symptoms, medications, tests, or treatment decisions.
Table of Contents
- How do researchers turn clinic visits into dementia studies?
- How do teams check whether record tools get dementia right?
- Why do dementia records miss cases?
- Where do adult children appear in these records?
- What can adult children do with this evidence?
How do researchers turn clinic visits into dementia studies?
Long-term studies train risk models on several years of routine records. One example used UMass Memorial EHR data from 2017-2024 for machine-learning prediction of future dementia, as described in the Alzheimer's Association AAIC 2025 poster. Large linked designs add other data to the same record base. A JAMA Psychiatry study followed 187,341 All of Us participants age 50 and older for a mean 10.26 years.
In that design, diagnosed ADHD carried a 4.60-fold hazard of later mild cognitive impairment or dementia. The practical point is scope. Years of visits plus linked data let teams watch slow change across large populations. A single memory visit cannot show that path.
How do teams check whether record tools get dementia right?
A typical check uses a retrospective primary-care group. One design included all adults 65 and older with routine visits in December 2021 to December 2022 across 59 clinics, with 525 charts sampled for testing, according to the PubMed summary of the primary-care validation study. That chart-review step matters because billing codes alone are incomplete.
Reviewers compare the algorithm against clinician judgment in the sampled notes and visits. A probabilistic EHR phenotype reproduced clinician-adjudicated Alzheimer's disease and related dementias status. It also showed net benefit for emergency-department patients missed by diagnosis codes.
Why do dementia records miss cases?
Underdiagnosis is the main limit. Claims and EHRs capture only 50-65% of true cases, about half of people with dementia lack a formal EHR diagnosis, and general-practitioner judgment has only about 58% sensitivity. Newer models aim to narrow gaps without widening disparities.
UCLA Health reported that its semi-supervised SSPUL model, trained on more than 97,000 UCLA Health EHRs, reached 77-81% sensitivity across White, Black, Hispanic/Latino, and East Asian groups, versus 39-53% for conventional models, as described in the UCLA Health report on undiagnosed Alzheimer's detection. For families, the lesson is plain. A "no dementia code" in the chart does not equal no dementia. Early symptoms, functional change, and caregiver notes often appear before a formal diagnosis.
Where do adult children appear in these records?
Researchers now identify caregivers, including non-household adult children, by pairing structured contact fields with natural-language processing of clinical notes. That method can surface a daughter or son who brings a parent to visits, calls with concerns, or helps with medications. Access is still limited.
The Journal of the American Geriatrics Society reported that under 1% of adult patients grant proxy portal access, compared with 89% of children under 18 with an active portal, as detailed in the Journal of the American Geriatrics Society report on shared portal access. So an adult child may be named in notes yet locked out of test results and visit summaries. Ask the clinic directly about proxy access, release forms, and caregiver contact fields.
What can adult children do with this evidence?
These steps help both care and research quality. Clear contact data, specific observations, and completed follow-up make the next visit easier to act on.
- Ask for proxy portal access and confirm the record lists you as a contact.
- Bring dated examples of memory, safety, driving, money, or daily-task changes.
- Ask whether cognitive screening, referral, medication review, or home safety review fits now.
- Keep copies of visit summaries, diagnoses, and next steps in one place.
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