PBMs Come Under Fire During Senate Hearing

PBMs Come Under Fire During Senate Hearing

Pharmacy Benefit Managers (PBMs) took a hit from lawmakers during a Thursday hearing held by the Senate Commerce Committee, with some questioning why the drug middlemen are even necessary.
“The way I see the situation on PBMs, I don’t know why the hell they even exist,” said Sen. Jon Tester, D-Montana. “They were set up with all the right reasons … But what I see them doing in my state, I don’t think the consumer gets much benefit and they’re shutting down small businesses on main street right and left and those are called our local neighborhood pharmacies.” The hearing discussed how…

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The Adderall Shortage

The Adderall Shortage

The current Adderall shortage is of serious concern to both patients who have attention deficit hyperactivity disorder (ADHD) and clinicians. This shortage cannot be quickly alleviated by a simple increase in the amount of medication manufactured, unless the upper limit to the amount of Adderall’s active ingredient that can be manufactured in a given year is raised by the Drug Enforcement Agency (DEA). The limit has been imposed because the active ingredient can be abused as a recreational drug. It is necessary to control the supply of any medication with abuse liability, but this must be achieved without compromising the legitimate…

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VinBrain harnesses Stanford data to improve radiology AI

VinBrain harnesses Stanford data to improve radiology AI

Vietnamese healthcare AI developer VinBrain has started a new partnership with Stanford University to enhance AI medical imaging.Based on their latest data use agreement, Stanford will initially provide VinBrain access to about 240,000 anonymised medical images and reports to train and test the AI on its DrAid clinical decision support platform while also helping improve the accuracy of an information extracting method for structuring radiology reports called RadGraph.
WHY IT MATTERS
According to VinBrain, its latest partnership with Stanford aims to enhance efficiency in radiology reports while “tackling complexity, ambiguity, and limitations in medical image interpretation.”
Through Stanford’s support, the company will be able…

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How to Rein in Unpredictability During High-Traffic Respiratory Illness Season

How to Rein in Unpredictability During High-Traffic Respiratory Illness Season

‘Tripledemic’ concerns have been on the rise with the collision of flu, Covid-19, and respiratory syncytial virus (RSV) wreaking havoc in clinics and hospitals. Yet staff are expected to provide smooth, fast, and effective care journeys for all, no matter the volume of patients. We know, however, that everything doesn’t always go as planned when patient traffic explodes. Bottlenecks like long wait times and limited appointment options inevitably skyrocket, and staff bear the brunt of patients who (understandably) want to be seen immediately, in conjunction with staff members intermittently being out sick themselves.
Living in an environment of extreme health unpredictability affects…

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3 Conditions that Must be Met to Make Interoperability a Reality

3 Conditions that Must be Met to Make Interoperability a Reality

The term “interoperability” holds different meanings for different people. While we all would agree that the primary goal of interoperability is to make sharing data easier in order to improve outcomes and lower costs, there are varying perceptions about what that looks like. FHIR has been great at giving us a common set of protocols and standards to work from, but how we connect and how data actually gets shared are still open challenges.
In a truly interoperable healthcare ecosystem, I strongly believe data wouldn’t need to be requested, aggregated, and validated each time it’s needed. And it wouldn’t be limited to specific…

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Ingestible Sensor Reveals Gastric Motility

Ingestible Sensor Reveals Gastric Motility

Researchers at MIT have developed an ingestible sensor that can reveal gastrointestinal motility issues, such as gastroparesis and gastroesophageal reflux disease. The technology is intended for use as an easy at-home method to diagnose such issues, which typically require more invasive and inconvenient procedures, such as endoscopy or X-ray imaging. This new technology is based on the concept that a magnetic field produced by an electromagnetic coil becomes weaker the further away you move from the coil. This change in field signal is predictable, allowing researchers to calculate the distance accurately by measuring the magnetic field. The ingestible sensor measures […]…

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Automated Mass Spec Technique to Detect Antidepressants

Automated Mass Spec Technique to Detect Antidepressants

Scientists at Brown University have designed an automated liquid chromatography tandem mass spectrometry (LC-MS/MS) system that allows clinicians to rapidly and easily process patient samples to determine levels of antidepressant drugs in the body. Getting the correct dose of antidepressant drugs into the bloodstream is important to ensure efficacy and avoid side-effects. However, current assays to measure the levels of such drugs in the blood are cumbersome, require large blood samples, and involve multiple time-consuming steps, limiting their use by clinicians. This new system requires very small sample volumes, and employs a robot liquid handling system that is commonly found […]…

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