Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Monday, June 9, 2025

Digital Tool May Boost Early Dementia Detection in Primary Care, Study Finds

 What are the EXACT PROTOCOLS YOUR COMPETENT? DOCTOR HAS TO PREVENT DEMENTIA? NONE? So, you DON'T have a functioning stroke doctor, do you?

The reason you need dementia prevention: 

1. A documented 33% dementia chance post-stroke from an Australian study?   May 2012.

2. Then this study came out and seems to have a range from 17-66%. December 2013.

3. A 20% chance in this research.   July 2013. 

 I bet your doctor has failed to create EXACT dementia prevention protocols, and s/he is still employed by your hospital?

Digital Tool May Boost Early Dementia Detection in Primary Care, Study Finds

CHICAGO — Combining machine learning and patient-reported tools significantly improved early detection of dementia in primary care, according to new research presented at the annual meeting of the American Geriatrics Society (AGS) 2025 Annual Scientific Meeting.

Researchers from Indiana University Indianapolis found that using a machine learning algorithm and a patient-reported screening tool — together known as the Digital Detection of Dementia (D3) approach — led to a 44% higher likelihood of a clinician diagnosing a patient with dementia over a 1-year period compared with usual care.

The researchers tested the D3 model in a randomized trial across nine federally qualified health centers (FQHCs) in Indianapolis.

Of the more than 5300 patients aged 65 years or older who enrolled, 62% were women, and more than half were Black or Hispanic.

The clinics were assigned to provide three types of care, the first being usual care.

Patients in the second group were evaluated for dementia using the passive digital marker, an artificial intelligence (AI) algorithm that analyzed existing electronic health record data to flag potential cases.

Clinicians at the third clinic evaluated patients by analyzing results from the Quick Dementia Rating System, a 10-item questionnaire that takes patients 2-3 minutes to complete, and viewed flagged cases produced by the algorithm.

Providers at the third clinic diagnosed significantly more patients with dementia than those at clinics using usual care, even after accounting for age, sex, race, and ethnicity (odds ratio, 1.44; 95% CI, 1.19-1.75).

In contrast, clinics using only the AI tool showed no statistically significant increase in diagnoses. Researchers hypothesized that even partial use of the questionnaire — completed by just 21% of eligible patients — may have improved clinicians’ trust in AI alerts, nudging them toward making a diagnosis.

“Providers…are very busy and are bombarded with computerized decision support,” said lead study researcher Malaz Boustani, MD, a geriatrician and professor of aging research at Indiana University. But “with the right messenger and time,” trust in digital tools can grow and lead to behavior change.

According to previous research, 62% of older adults seen in FQHCs have mild cognitive impairment, and 12% have dementia. Yet most go undiagnosed. Black patients were more than twice as likely as White patients to have unrecognized cognitive decline.

The tools were embedded directly into the clinics’ electronic health record system, triggering alerts in the chart view. Patients were offered the questionnaire during electronic check-in. A clinical decision support system then guided clinicians with next steps.

“This hybrid model lets clinicians do the right thing without adding to their workload,” Boustani said.

The D3 model is now being evaluated for broader implementation, Boustani said. He and his colleagues are also exploring ways to increase patient completion of the questionnaire and refine clinician prompts.

“We’re waiting on the result of an ongoing trial that is trying to replicate our study using interruptive alerts instead of non-interruptive alerts,” Boustani said. “If that trial shows similar or better results, we will work with existing consulting companies to distribute the digital tools across the country.”

Boustani serves as a chief scientific officer and co-founder of two private companies and has various financial relationships involving equity with other companies. He also serves on various advisory boards for pharmaceutical companies.

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