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AI Toilet Tool Offers Remote Patient Monitoring for Gastrointestinal Health

AI Toilet Tool Offers Remote Patient Monitoring for Gastrointestinal Health | healthcare technology | Scoop.it

Researchers at Duke University are developing an artificial intelligence tool for toilets that would help providers improve care management for patients with gastrointestinal issues through remote patient monitoring.

 

The tool, which can be installed in the pipes of a toilet and analyzes stool samples, has the potential to improve treatment of chronic gastrointestinal issues like inflammatory bowel disease or irritable bowel syndrome, according to a press release.

 

When a patient flushes the toilet, the mHealth platform photographs the stool as it moves through the pipes. That data is sent to a gastroenterologist, who can analyze the data for evidence of chronic issues.

 

A study conducted by Duke University researchers found that the platform had an 85.1 percent accuracy rate on stool form classification and a 76.3 percent accuracy rate on detection of gross blood.

 

read the entire article at https://mhealthintelligence.com/news/ai-toilet-tool-offers-remote-patient-monitoring-for-gastrointestinal-health

 

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Many smart wearable devices can even monitor mental-health data 

Many smart wearable devices can even monitor mental-health data  | healthcare technology | Scoop.it

It is projected that by next year, over 7.6 billion people throughout the world will use over 30 billion smart, sensor-based wearable devices that will monitor human activities, including mental-health data.

 

Smartphones and wearable sensors are able to detect and analyze behaviors such as activity (by GPS, location, and speed); sleep hours (your total time in bed or asleep); and various brain functions through games prompted to test memory, executive capacities, emotions and moods.

 

This will soon become the paramount source of obtaining health data with a special emphasis on mental health issues.

 

Psychiatrists will be able to use these new technologies to identify a healthy person at risk by being able to analyze samplings of feelings, thoughts, and general behaviors as they occur in real time and in their real life.

 

Well, there are reliability issues, problem of missing data, retention/adherence abilities, and subjects neglecting to wear or charge their devices after a certain period of time.

 

The new learning algorithms of artificial intelligence technologies are able to integrate structured and unstructured data and should eventually be able to tackle these potential pitfalls.

 

Read the original article at https://www.miamiherald.com/living/health-fitness/article219558560.html

 

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mHealth platforms are helping healthcare providers with Quick Access to Decision Support Resources

mHealth platforms are helping healthcare providers with Quick Access to Decision Support Resources | healthcare technology | Scoop.it

Healthcare providers who access clinical decision support through mHealth platforms are finding a world of information at their fingertips – and they could be saving lives.

 

Digital technologies are changing the way medical information is gathered and exchanged.  Physicians of all ages and medical subspecialties from across the globe are utilizing tools to discuss potential diagnoses and obtain second opinions.

 

That’s the takeaway from researchers at the Scripps Research Translational Institute who took a closer look at online crowdsourced consult platforms.

 

Their conclusion is that these platforms, which include social media networks like SERMO, Medscape and HealthTap, are giving providers quick access to information that’s helping them reduce serious, costly and potentially deadly medical errors.

 

The study, focusing on an analysis of more than 37,000 active users on the MedScape Consult network between 2015 and 2017, appears in a recent issue of NPJ Digital Medicine.

 

The research points to the value of a mobile health resource for clinical decision support, giving providers a real-time portal for physician-to-physician engagement. Billed as a source for “the second to hundredth opinion in medicine,” these portals allow providers to gather best practices and apply them quickly, reducing the chances of a clinical error.

 

The study also points to the changing nature of clinical decision support.The study noted that providers can’t necessarily rely on informal face-to-face consults with colleagues – commonly known as curbside consults – because they’re “frequently inaccurate and incomplete.” Yet they can’t just call up a nearby specialist at a moment’s notice.

 

The study found that : "At a time when we’re turning to artificial intelligence to help improve diagnostic accuracy, there’s still plenty of room for tapping into human intelligence via such medical consulting platforms, Artificial intelligence has been advocated as the definitive pathway for reducing misdiagnosis, But the study's findings suggest the potential for collective human intelligence, which is algorithm-free and performed rapidly on a voluntary basis, to emerge as a competitive or complementary strategy."

 

 

nrip's insight:

Well how surprising! Collective human intelligence still works :)

 

For us, its not surprising. As I been posting in my articles, speaking at my talks and offering my $0.02 in my insights,  for all the talk of AI and Deep Learning, I feel technology's best use in healthcare is in automation of processes and improving communication and collaboration.  And such studies show that we have lots of gain by building better tools to help clinicians communicate and collaborate better. Someday , AI "may" replace human intelligence, but not today and not anytime soon.

 

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