GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK
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Algorithm could flag patients at risk of opioid relapse

Algorithm could flag patients at risk of opioid relapse | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it

A new diagnostic technique that has the potential to identify opioid-addicted patients at risk for relapse could lead to better treatment and outcomes.

 

Using an algorithm that looks for patterns in brain structure and functional connectivity, researchers were able to distinguish prescription opioid users from healthy participants. If treatment is successful, their brains will resemble the brain of someone not addicted to opioids.

 

“People can say one thing, but brain patterns do not lie,” says lead researcher Suchismita Ray, an associate professor in the health informatics department at Rutgers School of Health Professions.

 

“The brain patterns that the algorithm identified from brain volume and functional connectivity biomarkers from prescription opioid users hold great promise to improve over current diagnosis.”

 

In the study in NeuroImage: Clinical, Ray and her colleagues used MRIs to look at the brain structure and function in people diagnosed with prescription opioid use disorder who were seeking treatment compared to individuals with no history of using opioids.

 

The scans looked at the brain network believed to be responsible for drug cravings and compulsive drug use. At the completion of treatment, if this brain network remains unchanged, the patient needs more treatment.

 

read the study at https://doi.org/10.1016/j.nicl.2021.102663

 

read the article at https://www.futurity.org/opioid-addiction-relapse-algorithm-2586182-2/

 

 


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AI Toilet Tool Offers Remote Patient Monitoring for Gastrointestinal Health

AI Toilet Tool Offers Remote Patient Monitoring for Gastrointestinal Health | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | 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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New Soft Contact Lens Diagnoses and Monitors Eye Diseases #esante #hcsmeufr #digitalhealth

New Soft Contact Lens Diagnoses and Monitors Eye Diseases #esante #hcsmeufr #digitalhealth | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it

Commercial soft contact lenses have been on researchers' radar to help diagnose and monitor ocular diseases for a while, but they have proven tricky to use as typical sensors and electronics used for such uses normally require a hard, planar surface to function. Something a soft, curved, thin contact lens can't offer.

 

A multidisciplinary team of researchers from Purdue University in the U.S. has created a soft contact lens that's capable of diagnosing and monitoring ocular diseases painlessly.

 

How?

The way the team managed to develop a soft contact lens for this purpose was by integrating ultrathin, stretchable biosensors with soft commercial contact lenses using wet adhesive bonding.

 

The biosensors embedded within the contact lenses record retinal activity from the surface of the eye. As these are regular contact lenses, no topical anesthesia to manage pain and safety, as is typical with current clinical diagnosis and monitoring settings, is required.

 

"This technology will allow doctors and scientists to better understand spontaneous retinal activity with significantly improved accuracy, reliability, and user comfort"

 

Read the press release about the lens at https://www.purdue.edu/newsroom/releases/2021/Q1/soft-contact-lenses-eyed-as-new-solutions-to-monitor-ocular-diseases.html

 

Read the original completed unedited story at

https://interestingengineering.com/new-soft-contact-lens-diagnoses-and-monitors-eye-diseases

 


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Richard Platt's curator insight, March 12, 2021 2:15 PM

Commercial soft contact lenses have been on researchers' radar to help diagnose and monitor ocular diseases for a while, but they have proven tricky to use as typical sensors and electronics used for such uses normally require a hard, planar surface to function. Something a soft, curved, thin contact lens can't offer.  A multidisciplinary team of researchers from Purdue University in the U.S. has created a soft contact lens that's capable of diagnosing and monitoring ocular diseases painlessly. How? - The way the team managed to develop a soft contact lens for this purpose was by integrating ultrathin, stretchable biosensors with soft commercial contact lenses using wet adhesive bonding.  The biosensors embedded within the contact lenses record retinal activity from the surface of the eye. As these are regular contact lenses, no topical anesthesia to manage pain and safety, as is typical with the current clinical diagnosis and monitoring settings, is required.  "This technology will allow doctors and scientists to better understand spontaneous retinal activity with significantly improved accuracy, reliability, and user comfort"

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Head of IBM Watson Health leaving post after growing criticism  #hcsmeufr #esante #digitalhealth

Head of IBM Watson Health leaving post after growing criticism  #hcsmeufr #esante #digitalhealth | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it

After 3 years as head of IBM’s health division, Deborah DiSanzo is leaving her role.

 

A company spokesman said that DiSanzo will no longer lead IBM Watson Health, the Cambridge-based division that has pitched the company’s famed artificial intelligence capabilities as solutions for a myriad of health challenges, like treating cancer and analyzing medical images.

 

Even as it has heavily advertised the potential of Watson Health, IBM has not met lofty expectations in some areas. Its flagship cancer software, which used artificial intelligence to recommend courses of treatment, has been ridiculed by some doctors inside and outside of the company. 

 

And it has struggled to integrate different technologies from other businesses it has acquired, laying off employees in the process.

 

more at https://www.statnews.com/2018/10/19/head-of-ibm-watson-health-leaving-post/

 

 


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nrip's curator insight, October 20, 2018 7:23 AM

Over the years IBM Watson promised much to the healthcare world and delivered pretty much nothing.  I must say, reading up about IBM Watson taught me a thing or more about marketing :). Given that there is definitely good stuff being worked on within IBM, I hope that IBM will learn that healthcare requires patience and accuracy, and Watson will someday start doing good for healthcare.

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Automation in Healthcare is Transforming Medicine #NHITWeek #esante #hcsmeufr #digitalhealth

Automation in Healthcare is Transforming Medicine #NHITWeek #esante #hcsmeufr #digitalhealth | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it

Information technology has allowed much of our economy to automate processes. We have seen transformations of the airline, banking, brokerage, entertainment, lodging, music, printing, publishing, shipping and taxi industries through the availability of massive volumes of real-time price and service data. Across America, consumer-facing retail service continues to shift to a virtual environment.

 

Healthcare is the exception. Many health information technology (health IT) products initially focused on billing.

The misalignment between billing support and the sense that these tools do not materially automate clinician work to build in efficiencies or improve workflows adds to an overall frustration with the increasing amount of time providers spend at their screens.

 

Automation is hard because it tends to require interfaces of various types – both to other machines (Internet of Things) and to humans.

 

Often automation proposals involve solutions that focus on highly structured data. But, someone or something has to put energy (physician salary, for example) into organizing much of this information, assuming it is even knowable.

 

The underlying disease or patient behavior (e.g., smoking) is also often not knowable. And, automation relying on machine to machine interfaces regularly runs into a lack of application programming interfaces (APIs) supporting complex clinical data flows.

 

I posted this week old piece now and now when it was published as #NHITWeek is this week. A lot of posts this week deal with possibilities and problems with healthcare focussed automation. 

 

The original unedited piece can be read at https://www.himss.org/news/healthcare-automation-transforming-medicine


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nrip's curator insight, October 9, 2018 12:12 AM

I posted this week old piece now and now when it was published as #NHITWeek is this week. A lot of posts this week deal with possibilities and problems with healthcare focussed automation. 

 

What has your experience been , or your opinion on automation, and its uses in life sciences and medicine.

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3D printing technology boosts hospital efficiency and eases pressures

3D printing technology boosts hospital efficiency and eases pressures | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it

Researchers investigating the benefits of 3D printing technology found it can deliver significant improvements to the running of hospitals.

 

The research, which compared the drawbacks and advantages of using 3D printing technology in hospitals, has been published in the International Journal of Operations and Production Management.

 

 

The study revealed that introducing such technology into hospitals could help alleviate many of the strains the UK healthcare system and healthcare systems worldwide face.

Boosting surgery success rates

- 3D printing makes it possible for surgical teams to print 3D models based on an individual patient’s surgical needs, providing more detailed and exact information for the surgeon to plan and practice the surgery, minimising the risk of error or unexpected complications.

- the use of 3D printed anatomical models was useful when communicating the details of the surgery with the patient, helping to increase their confidence in the procedure.

Speeding up patient recovery time

- significant reduction in post-surgery complications, patient recovery times and the need for subsequent hospital appointments or treatments.

Speeding up procedures

- provide surgeons with custom-built tools for each procedure, with the findings revealing that surgeries with durations of four to eight hours were reduced by 1.5 to 2.5 hours when patient-specific instruments were used.

- could also make surgeries less invasive (for example, removing less bone or tissue)

- result in less associated risks for the patient (for example, by requiring less anaesthesia).

Real-life training opportunities

- enables trainee surgeons to familiarise themselves with the steps to take in complex surgeries by practicing their skills on examples that accurately replicate real patient problems, and with greater variety.

Careful consideration required

Despite the research showing strong and clear benefits of using 3D printing, Dr Chaudhuri and his fellow researchers urge careful consideration for the financial costs.

 

3D printing is a significant financial investment for hospitals to make. In order to determine whether such an investment is worthwhile, the researchers have also developed a framework to aid hospital decision-makers in determining the return on investment for their particular institution.

 

read the study at https://www.researchgate.net/publication/344956611_Accepted_for_publication_in_International_Journal_of_Operations_and_Production_Management_Should_hospitals_invest_in_customised_on-demand_3D_printing_for_surgeries

 

read more at https://www.healtheuropa.eu/3d-printing-technology-boosts-hospital-efficiency-and-eases-pressures/108544/

 


Lire l'article complet sur : www.healtheuropa.eu


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Ray Daugherty's curator insight, April 17, 2022 11:26 PM
Anything that can help hospitals is a good thing. Having a 3D printer is so smart as it can really help doctors and surgeons. As it said, these printers are making surgery rates more successful as the surgeon can practice before going into surgery. 3D printers are also helping with recovery time and speeding up procedures. This is going to be so beneficial moving forward because hospitals can get more people in and out and have a better chance for things to go smoothly. 
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The Future of Health care needs Doctors and Technologists to work well together

The Future of Health care needs Doctors and Technologists to work well together | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it
In a new report - The Truth About Doctors - Covid 19 Edition,  McCann Health identifies four key ways how health care technology has changed since 2016. It highlights the the role of the health care industry in leveraging these changes to carve a new way forward
 
 
In the past, technology has been gradually revolutionizing health care. While patients have adopted it whole heartedly,  It has received push back from various quarters of care providers. Many think it may be having less-positive effects for physicians, some of whom eye it as a threat to doctoring.
 
However, come Covid-19, and the world simultaneously looked up to technology and the medical community in more or less an equal measure.
 
They wanted Tech to help us navigate the pandemic and the medical community to get us out of it, and the need for both to work together and amplify became clearer with each day since the pandemic started
 
As the world moves towards a period of renewal, it will be increasingly important that technology plays a complementary role in care, not just supporting doctoring but super-powering it.
 
Lets look at the 4 main focus areas mentioned in the report.

Technology is redefining the where of care

Home defines most individuals’ physical, mental, and social health. Until recently, home has also been a place where doctors are absent. That changed with Covid-19 and the rapid growth of telemedicine
 
If marketers and others within the health care industry can help doctors acclimatize to the new where of care — supporting them to embrace the home as an extension of their domain rather than something outside of it — health can be elevated in a more holistic level.

Technology can help cultivate inter-professional collaboration

During the pandemic, by using social media and messaging platforms like Twitter and WhatsApp, doctors with diverse backgrounds were able to pool knowledge and emotionally support each other in the collective effort to fight Covid-19. They collaborated in new ways with allied health care professionals, government, and industry, sparking a reimagining of the health ecosystem.
 
The challenge moving forward is giving this organic way of working across care teams and borders a structure to make it scalable.
 
How can the health care system evolve so an expert in peripheral neuropathy in Australia can collaborate with a startup in Belgium? On a more local level, how can health care systems ensure that the different health professionals involved in a patient’s care work together?
 
Secure, shared platforms can nurture a sense of belonging and create a new kind of community for doctors — a “care tribe” that has the power to connect perspectives and passions to advance the experience of care.

Technology can foster continuity and ‘contiguity’

There is a new willingness to take control over personal well-being in light of the pandemic. However this can only go so far in a health care system where time is limited and resources are fragmented.
 
With the proliferation of sensors there may be no better time to apply the quantifiable self to achieve more personalized care. However,  new self-monitoring technologies must be integrated with the full health care ecosystem to make personal health care easier and more seamless, rather than adding to the confusion.
 
Even if technology provides access to more health information, it does not necessarily follow that patients or health care providers will understand it.
 
Health care providers must be taught the skills to not only help patients decipher their health information but to advance their care by proactively identifying and addressing their health risks.
 
With this comes a need to ensure that work is being done in a way that overcomes health inequities rather than heightens them.

Technology can care for the carers

Covid-19 has shown that, instead of posing an existential threat to doctors, technology may be a lifeline for them. By assessing patients before a consult, tech platforms can allow doctors to channel their energy to the problems that need it most. In complicated therapy areas such as oncology, it can ease their load through supporting diagnosis, treatment, and prognosis.
 
In the day-to-day practice of caregiving, technology can enrich relationships by enabling doctors to focus on the human art of medicine. Combined with the flexibility of video consultations and the panoramic perspective of integrated systems, technology can give doctors their time back to practice care on their own terms.
 
 
It’s easy to think that health care is behind the curve when it comes to embracing technology. Covid-19 has shown that this just isn’t the case. When it comes to the relationship between doctors and technology, the pandemic has been an epiphany. Instead of displacing doctors, technology has the power to help them provide better care, supercharging the humanity and empathy that lies at the heart of medicine.
 
Technology has a role in medicine, especially in the service of care.
 
along with my own insights and thoughts
 

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nrip's curator insight, May 19, 2021 3:46 AM

Covid19's biggest learning has been that technology has a role to play in taking healthcare jump upwards to the next level. The collaboration between technologists and medical professionals holds much promise for the world. We have always said at Plus91, lets all work together today to make a better world, for tomorrow we may not get a chance. Collaborate!  After all, the ultimate goal is the same for everyone - building a world of healthier and happier people, disease free and safe.

resonantevoker's comment, May 21, 2021 7:26 AM
nice
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The state of blockchain, cloud, EHR adoption & more  #esante #hcsmeufr #digitalhealth

The state of blockchain, cloud, EHR adoption & more  #esante #hcsmeufr #digitalhealth | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it

In its State of the Market 2018 report, HIMSS Analytics outlined nationwide adoption of major health IT trends.

 

The report detailed market insights related to blockchain, cloud computing, EHRs, precision medicine and telehealth, among other health IT segments.

 

Here are 5 highlights from the report:

 

1. Blockchain. The plurality of hospitals (45.3 percent) are still learning about blockchain and have not deployed any related programs. However, 55 percent said it is "somewhat likely" they complete a blockchain proof-of-concept or pilot in the next 24 months, followed by 17 percent of whom said it was "very likely."

 

2. Cloud. The majority of hospitals (65 percent) said they currently use the cloud or cloud services. Reasons for adopting cloud services included concerns with disaster recovery (37 percent), lack of internal IT expertise on site (25 percent) and IT maintenance costs (25 percent).

 

3. EHRs. EHRs have achieved almost universal hospital adoption; however, interoperability continues to present a core challenge. Only 2 percent of hospitals are on a single vendor at all affiliated practices, and nearly three-quarters of hospitals said they deal with more than 10 disparate outpatient vendors.

 

4. Precision medicine. Hospitals tended to cite lack of funding, technological or clinical expertise as barriers to adopting precision medicine, although nearly half of hospitals (45 percent) said they plan to expand their existing programs.

 

5. Telehealth. Telehealth adoption has reached 50 percent at U.S. hospitals. Moving forward, 55 percent of hospitals said they are "unsure" if they have plans to invest in telehealth services in the next 24 months, followed by 27 percent that said they do.

 

more at https://www.beckershospitalreview.com/healthcare-information-technology/himss-analytics-the-state-of-blockchain-cloud-ehr-adoption-more.html

 

 


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DR. FACEBOOK : Your Facebook Posts Can Reveal If You're Depressed

DR. FACEBOOK : Your Facebook Posts Can Reveal If You're Depressed | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it

Researchers used people's Facebook data and their medical records to detect early symptoms of a mental health problem.

 

In research described the Proceedings of the National Academy of Sciences, scientists analyzed language from study participants' Facebook status updates to predict future diagnoses of depression. The researchers say their technique could lead to a screening tool that identifies people in need of mental health support and formal diagnosis, while raising serious questions about health privacy.

 

If this line of inquiry sounds familiar, you're not imagining things: Scientists have been studying the association between Facebook and the mental state of its users for years—often without the consent of the people being examined study subjects.

 

Earlier this decade, scientists at Facebook and Cornell conducted an infamous emotional contagion study, which targeted the moods and relationships of more than half a million Facebook users without their knowledge. 

 

But many scientists continue to use above-board research methods to access Facebook's data.

 

For instance: By asking study participants to provide their consent, log into their accounts, and share their data—all in person—to provide one-time access to said data. The overhead is tremendous; it can take years to amass a large enough sample population using in-person study recruitment.

 

Yet the effort can be worth it to social science researchers, many of whom regard Facebook's trove of user information as the most significant data repository in the history of their field.

 

read more at https://www.wired.com/story/your-facebook-posts-can-reveal-if-youre-depressed/

 

also check out the opinion piece referencing this post at http://wordpress.futurism.com/ai-depressed-facebook-posts/

 

 

 


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New tool helps doctors determine which patients are most likely to forget or skip their appointments #esante #hcsmeufr #digitalhealth

New tool helps doctors determine which patients are most likely to forget or skip their appointments #esante #hcsmeufr #digitalhealth | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it

Patients who don't show up for their scheduled medical appointments drain health care providers' time and resources, reducing appointment availability, increasing wait times, and reducing patient satisfaction.

 

In an effort to solve this problem, a team of researchers from the Johns Hopkins University's Malone Center for Engineering in Healthcare has developed a new algorithm that can reduce no-show rates and increase appointment availability.

 

The model, in use by two JHCP clinics since September 2017, has already provided helpful insights into which factors play the biggest role in no-show appointments.

 

For example, it indicates that patients who visit emergency departments more frequently are more likely to fail to attend scheduled appointments.

In contrast, patients who use the online patient portal to schedule their own appointments are more likely to keep appointments.

 

read the original unedited story at https://hub.jhu.edu/2018/10/04/algorithm-predicts-patient-no-shows/

 


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