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Welcome to the Empowered Patient Podcast with Karen Jagoda.  This show is a window into the latest innovations in applying generative AI, novel therapeutics and vaccines, and the changing dynamics in the medical and healthcare environment. One focus is on how providers, pharmaceutical companies, and payers are empowering patients.  In addition, conversations are often about how providers, care facilities, pharmaceutical companies, and payers are being empowered by technology to improve patient outcomes and reduce friction across the healthcare landscape.

Popular Topics

  • Virtual and digital health
  • Use of AI, ML, and LLM in healthcare and drug discovery, development, trials
  • Value-based healthcare 
  • Precision and stratified medicine
  • Integration of digital technology into existing workflow and procedures 
  • Next-generation immuno, cell, and gene therapies
  • Vaccines
  • Biomarkers, sequencing, and imaging
  • Rare diseases
  • MedTech and medical devices
  • Clinical trials
  • Addressing Social Determinants of Health
  • Treating chronic conditions like obesity and pain
  • Clinician and staff burnout

The audience includes life science leaders, researchers, medical professionals, patient advocates, digital health entrepreneurs, patients, caregivers, healthcare solution providers, students, journalists, and investors. 

 

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Empowered Patient Solutions

Dec 15, 2022

Dr. Jason Cohen, Senior Director of Clinical Solutions at Qventus, is addressing the problems that hospitals face regarding discharging patients. Much of care planning starts during hospitalization or at the last minute, so patients and caregivers are often left confused about the next appropriate care environment. Qventus is deploying AI to build a model with hundreds of different data points to predict highly-individualized discharge plans. This benefits patients, hospitals, and care teams by keeping track of progress, identifying bottlenecks, and making necessary adjustments to the care plan.

Jason elaborates, "We look at patients, for example, who get an early discharge plan, which we define as being an estimated date of discharge and a disposition where they're likely to go. Those patients that have their care team aligned around that early plan by the second midnight in the hospital experience have significantly fewer excess days in the hospital. They're more likely to leave on time and get to their next most appropriate care environment, whether that's a skilled facility, rehab, home with home help, et cetera. And then on the other side of that, again, is that tension with the dynamically changing nature of that patient's health, and things can change from day to day."

"Our solution has multiple different components, which hopefully we'll get into, but one of the core parts is our AI machine learning model that is able to help care teams align on that early discharge plan as soon as possible. And in the case of our models, the majority of patients, we're able to populate that plan directly into the EHR so that there's transparency across all those teams after the first midnight in the hospital."

@Qventus #Qventus #HospitalDischargePlanning #HospitalDischarge #Hospitals #AI #BigData

Qventus.com

Download the transcript here

Qventus