In the U.S., primary care providers often notice early signs of memory and thinking problems in older adults. But regular cognitive tests do not always happen during regular doctor visits. Time is short and doctors have many tasks, so testing memory and thinking skills gets missed. This means many cases of mild cognitive impairment, which can lead to dementia, are not found soon enough.
Mild cognitive impairment is the early stage of mental decline. If not treated early, it can get worse and turn into dementia. Sadly, about 92% of these early cases are not caught. This means millions of people miss the chance for early help. When diagnosis happens late, more patients need to see brain specialists. This puts more pressure on doctors who treat dementia and older people.
The usual test needs the patient to visit the clinic. It takes many hours to complete these brain tests. This process is hard for patients and their families. It also uses up a lot of time and resources from clinics and brain experts. As more people get older, this way of testing is hard to keep up with.
Linus Health created Anywhere for Health Systems. It is a medical device approved by the FDA that uses artificial intelligence (AI). It helps patients aged 55 and older do brain tests at home using a laptop, tablet, or smartphone. This group is most at risk for thinking problems.
The tool looks at four main brain skills:
The tests are digital and based on science. They check not only right or wrong answers but also how fast a person responds, pauses, talks, and corrects themselves. This gives a fuller picture of brain health.
Patients can take the test at home, which means fewer visits to the clinic. This lowers the work doctors and their teams have to do. Doctors can watch changes in patients’ brains over time by giving tests again when needed.
Anywhere for Health Systems has shown it is very accurate. Research says it correctly finds mild cognitive problems 91% of the time. It detects early dementia with 95% accuracy. This matches the best in-person brain tests that take about three hours.
Using this AI tool first means doctors can spend their in-clinic time with patients who need specialist care. The system gives easy-to-understand reports showing if a patient may have memory or thinking problems. This helps doctors send patients to specialists only when needed, saving time and money.
John Showalter, a leader at Linus Health, says this way of testing helps doctors review results quickly, decide who needs more help, and make sure patients see specialists at the right time. This workflow works well for both doctors and patients, making early help easier.
New health technology works best when it fits well into daily clinic tasks. Anywhere for Health Systems works smoothly with many electronic health records (EHR) systems used in the U.S. This lets clinics:
This smooth link cuts down on typing the same data twice and mistakes. It makes it easier for doctors and their teams to use the system. The platform also helps clinics get paid for routine and specialist visits related to brain testing. This helps keep these services running well.
Artificial intelligence changes brain health tests from slow, manual work to faster, easier processes. Anywhere for Health Systems uses AI to study behavior during the test. It looks at how fast people answer, if they hesitate, how quickly they speak, and if they fix mistakes themselves. These small details make the test better at spotting problems.
Doctors can use this to quickly find who needs to see a brain specialist and who does not. This lowers the number of unnecessary referrals. It also helps patients who really need care get it faster.
For brain specialists, the detailed reports and audio recordings help make better diagnoses. Specialists can give clearer advice without many clinic visits for first checks.
The system also automates tasks like sending tests, tracking results, managing referrals, and billing. This cuts down on office work and errors. Clinic staff work more smoothly, and doctors have more time to care for patients. IT managers see fewer delays and better use of resources.
Testing at home is easier for many patients and their families. Older people often have trouble moving around or getting rides to the clinic. Home testing lets people do it when they want and in their own space.
Patients and caregivers can use common devices like smartphones, tablets, or laptops to take the tests. This makes testing less stressful and more likely to be done on time. It also keeps people safer by avoiding visits during health crises like COVID-19.
Remote testing helps track brain health over time by letting patients take tests repeatedly with little hassle. Tracking changes helps doctors adjust care plans. The data supports care that fits each patient’s needs better and keeps patients involved in their health.
AI-powered remote brain tests have benefits beyond single clinics. They can be used widely to meet growing needs for early detection and care of memory problems in the country. Finding mild cognitive problems earlier lets doctors start treatment sooner. This might delay dementia, improve patients’ lives, and lower medical costs.
Remote tests ease the load on specialists by helping send only patients who need expert care. Clinics, hospitals, and health networks can make better decisions and use their resources more wisely. They can offer care that fits patients’ needs better.
As more Americans get older, home brain testing might become a normal part of yearly health check-ups or care for chronic illnesses. This fits well with health goals that focus on prevention, patient comfort, and better results.
For healthcare leaders, practice owners, and IT managers in the U.S., AI-based remote brain testing is a useful way to handle problems in managing memory health. With high accuracy, easy integration with doctor systems, and tools that speed up daily work, services like Anywhere for Health Systems make testing easier and less difficult.
These tools help find mild cognitive impairment sooner and guide doctors to give the right care quickly. Patients can do tests at home, which helps watch brain health without adding more work in clinics. This kind of technology helps health systems keep up with the growing need for brain testing and improves care for millions of older adults.
Early detection of MCI is crucial because 92% of patients go undetected, missing timely intervention opportunities that can delay or prevent dementia, thus improving patient outcomes and quality of life.
Anywhere for Health Systems offers a remote, AI-powered cognitive assessment that patients or care partners can complete at home, reducing strain on clinicians and increasing accessibility without requiring in-person visits.
The assessment evaluates memory and learning, executive function, complex attention, and language, covering four critical cognitive abilities through a battery of three scientifically validated tests.
The Linus Health remote AI assessment achieved 91% accuracy for detecting mild cognitive impairment and 95% accuracy for early dementia, comparable to a gold-standard three-hour neuropsychological evaluation.
AI analyzes behavioral markers such as response speed, hesitation patterns, verbal fluency, and self-corrections, offering a more nuanced, objective, and sensitive detection compared to traditional scoring methods.
It delivers intuitive reports with positive/negative results and detailed test breakdowns, helping PCPs effectively triage patients, prioritize referrals, and reduce unnecessary specialist visits.
Anywhere for Health Systems integrates with major electronic health record (EHR) systems, allowing direct assignment, real-time result sharing, streamlined workflows, and opening up billing opportunities for routine and specialist consultations.
Specialists receive detailed data and recordings that enable refined diagnoses, remote expert consultations with PCPs, and more precise, actionable insights for personalized patient care.
Patients can conveniently take comprehensive cognitive assessments at home on smartphones, tablets, or laptops, avoiding in-clinic visits and allowing longitudinal tracking without burden.
By making early detection practical and scalable, it alleviates specialist overload, supports proactive care strategies, enhances clinical decision-making, and ultimately improves brain health outcomes across populations.
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