The Big Unlock

In this episode, Dr. David McSwain, Chief Medical Information Officer at The Medical University of South Carolina discusses the lessons learned in integrating technology into clinical care and its impact on the workflow of physicians, care team members, and patients. He also shares best practices in telehealth implementation from a clinical and operational standpoint.

David talks about the disparities in access to care among populations with socioeconomic disadvantages and the challenges in implementing telehealth programs. MUSC’s Sprout program, the nation’s first national collaborative telehealth research program, uses evidence and data to support and provide quality healthcare services and influence the adoption of telehealth technology at the physician level.

While designing and implementing technologies, David advises a consumer-focused approach for an improved experience for both providers and patients. Take a listen.

In this episode, Ian Shakil discusses how Augmedix became the first company to launch a clinical application using Google Glass and a phone to convert the natural clinician-patient conversation into medical documentation.

There has been an increase in adoption for natural language interface technologies for clinical applications in healthcare involving hardware, software, and data analytics. Augmedix works as a tech-enabled remote scribe that processes conversations and distills it real-time into a structured note in the electronic medical record.

Ian also discusses the differences between Google Glass and other conversational interfaces such as voice recognition technology, and how conversational AI tools are evolving in healthcare, specifically in clinical use. Take a listen.

In this episode, Murray Brozinsky, CEO of Conversa Health discusses how conversational AI can complement care delivery models and the need for AI and clinicians to work together to apply these tools to clinical use cases. Conversa’s virtual care and triage platform leverages a 360 view of the patient in real-time to predict clinical pathways and make recommendations.

Murray also talks about the virtual care automation programs that are being integrated to manage chronic care, post-acute care, perioperative to women’s health, cancer, pediatrics, and in the ED. AI can be good at computational decision-making, which can give the best solution when combined with human judgment.

Murray also shares practical advice for digital health startups who are looking to raise VC money. Take a listen.

In this episode, Sean Duffy, Co-founder and CEO of Omada Health discusses their journey as a virtual care company, primarily serving self-insured employers with a focus on supporting chronic disease care. Sean also talks about the thought process behind their newly launched offerings and how they stand against their competitors.

According to Sean, to be successful in digital health, it is important to keep up your learning curve, be patient, and operationally innovate within constraints. Payers, providers, and employer customers all have the same need – digital delivery of care. They all believe that digital provisioning of care is here to stay. This belief is bound to yield a remarkable transformation for healthcare. Take a listen.

In this episode, John Donohue, Vice President of Entity Services at Penn Medicine talks about their 6-years long, $1.5 billion investment in a hospital of the future to be launched by the health system in their West Philadelphia campus. The hospital features new interactive technology for improving patient care and Disney-inspired user experience design.

John discusses a range of other topics, from defending against the ever-growing cybersecurity threats to finding success with technology partnerships. Their “3C” mantra for technology enablement in care delivery – common systems, centrally managed, and collaboratively implemented – has been a key to their success over time.

John also provides practical advice for digital health startups looking to partner with Penn Medicine in launching innovative solutions. Take a listen.

In this episode, Sachin Patel, Chief Executive Officer of Apixio, discusses how data science can help solve critical healthcare problems and empower individuals, providers, and health plans with reliable, actionable intelligence. Apixio is a healthcare AI analytics company that was recently acquired by Centene Corporation.

Today, more than 1.2 billion clinical documents are generated each year in the U.S., but there is very little analysis of the unstructured information. The Apixio platform uses advanced analytics to generate insights from unstructured data to deliver significant improvements in financial performance.

Sachin also discusses the big opportunity areas in AI today and the challenges in increasing adoption levels for AI in healthcare. Take a listen.

In this episode, Grace Kitzmiller of AWS and Dr. Michael Snyder of Stanford University’s School of Medicine discuss AWS’ Diagnostic Development Initiative (DDI), a two-year, $20 million commitment that uses cloud computing to scale up diagnostic innovations.

In the wake of the pandemic, Stanford University School of Medicine’s Healthcare Innovation Lab developed a smartwatch-enabled alarm system powered by AWS cloud, designed for early detection of COVID-19 by identifying increased heart rates prior to the infection. Dr. Snyder explains how the application works by pulling heart rate information from the smartwatch, applying an early detection algorithm, and pushes back the signal to a smartphone to set off alerts for possible infections.

Grace shares three gaps that AWS strives to address through the Diagnostic Development Initiative: accurate detection, reprioritization of diagnostic research, and scaling up computing power for machine learning and analytics. Take a listen.

Note: Those interested in participating in the Stanford COVID-19 wearables study can sign up here. Developers interested in the AWS Diagnostic Development Initiative program can apply here.

In this episode, David Cohen, Chief Product and Technology Officer of Greenway Health, highlights the need for RCM service providers to scale up to meet the revenue cycle needs of the larger healthcare practices. Greenway Health is an electronic health records (EHR), practice management, and revenue cycle management solutions company serving more than 50,000 ambulatory practices.

The RCM services is witnessing M&A and consolidation to find the efficiencies of scale. David points out that sophisticated RCM software must develop automation capabilities, robust analytics, and machine learning models to help reduce the overall cost of these practices to collect and improve financial outcomes for practices.

David advises medical practices to stay on top of regulatory changes and be aware of the changing payment roles and cycles. Take a listen.

In this episode, Mike Alkire, President & Incoming CEO of Premier Inc., discusses the ongoing vaccine roll-out and the lack of resiliency in the medical supply chain for U.S. healthcare.

He discusses how Premier is expanding their data analytics capabilities, such as AI and machine learning to make the supply chain infrastructure more resilient and support better clinical decisions. Mike believes that the changing competitive landscape of healthcare and the entrance of non-traditional players is unleashing innovation in the industry. He also shares three leadership lessons from his long and successful career. Take a listen.

In this episode, Jim Beinlich discusses the current state and maturity level of data and analytics in healthcare.

Healthcare lags other industries when it comes to using new technologies. The industry still needs to apply standardization, governance, and ensure data quality to get the right data at the right time to the right person. Jim states that one of the challenges with data is inserting it back into the workflow to make it useful. One of the important use cases of Penn Medicine’s data and analytics program has been the transition from traditional analytics to cloud-based tools and leveraging data lakes to unlock self-service data models.

Penn Medicine is one of the very few healthcare organizations to integrate genomic testing results into the EMR for diagnosis and treatment. Jim shares their extensive protocols for integrating genomic data into patient records for diagnosis and treatment. Take a listen.