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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. 

 

Check out our new EmpoweredPatient.Solutions site where you can quickly search all of the Empowered Patient Podcast interviews by any word or phrase to identify useful resources, potential partners, and insights about the life sciences landscape.

Empowered Patient Solutions

Feb 28, 2024

Amy Brown, CEO of Authenticx, uses conversational intelligence to analyze conversations between humans and between humans and chatbots to gain insights that can drive improvements in patient experience, operational efficiency, and faster resolution of problems in the healthcare environment. Using AI and trained professionals, the Authenticx solution can help pharmaceutical companies improve drug launches, personalize customer interactions and respond more effectively to patient needs. In clinical situations, the machine learning models help identify and address obstacles impeding more robust patient/provider/payer relationships.

Amy explains, "At Authenticx, we really target bidirectional conversations. We can take in all types of unstructured data that exist: notes, social, etc. That said, we find the most insightful and contextually rich types of data sources are the ones that represent a back-and-forth between customer and company. And in our world, we're working with very large healthcare companies, like pharmaceutical manufacturers, health insurance companies, health and hospital systems." 

"They're typically having conversations with patients or caregivers, any type of healthcare consumer, they're also having conversations with other stakeholders in the healthcare system, like insurance companies talking to providers' offices, or doctors' offices talking to pharmaceutical manufacturers. We find that the research and study of that back-and-forth bidirectional communication, and doing that at scale, is incredibly insightful to the business."

"We ingest the call recordings or the chat interaction files into our platform, and we apply AI to listen for the things that matter most to healthcare companies. We've spent five years curating our own proprietary training data, where we have listeners, human listeners, who have listened to hundreds of thousands of conversations. We intentionally hired social workers, healthcare workers, nurses, people who have worked inside the healthcare system, because we found that interpreting the communication they're listening to is so crucially important to making high-quality AI." 

#Authenticx #ListeningWithAI #ConversationalIntelligence #PatientExperience #AIinHealthcare

Authenticx.com

Listen to the podcast here

Authenticx