What if your keyboard could reveal your mental health? Emerging research suggests that how you type—not what you type—could signal early signs of depression. By analyzing keystroke patterns like speed, timing, pauses, and autocorrect use, researchers are exploring digital biomarkers that might quietly reflect changes in mood. In this episode, we break down how this passive tracking compares to traditional screening tools like the PHQ. While questionnaires offer valuable insight, they rely on ...
All content for Code & Cure is the property of Vasanth Sarathy & Laura Hagopian and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
What if your keyboard could reveal your mental health? Emerging research suggests that how you type—not what you type—could signal early signs of depression. By analyzing keystroke patterns like speed, timing, pauses, and autocorrect use, researchers are exploring digital biomarkers that might quietly reflect changes in mood. In this episode, we break down how this passive tracking compares to traditional screening tools like the PHQ. While questionnaires offer valuable insight, they rely on ...
#14 - Medicare’s WISER Pilot: AI, Prior Auth, and the Cost of Care
Code & Cure
27 minutes
2 months ago
#14 - Medicare’s WISER Pilot: AI, Prior Auth, and the Cost of Care
What happens when an algorithm—not a doctor or a claims reviewer—denies your surgery? A single decision like that can trigger a much bigger conversation about how AI is reshaping access to care. In this episode, we dive into Medicare’s WISER pilot and the complex world of prior authorization. What’s the goal? Reduce waste and streamline approvals. But where does it go wrong—and how can we fix it? With insights from AI researcher Vasan Sarati and emergency physician Laura Hagopian, we unpack h...
Code & Cure
What if your keyboard could reveal your mental health? Emerging research suggests that how you type—not what you type—could signal early signs of depression. By analyzing keystroke patterns like speed, timing, pauses, and autocorrect use, researchers are exploring digital biomarkers that might quietly reflect changes in mood. In this episode, we break down how this passive tracking compares to traditional screening tools like the PHQ. While questionnaires offer valuable insight, they rely on ...