How are you transitioning building a telehealth primary care model
Common Sense Virtual Roundtable:

How are you transitioning building a telehealth primary care model?

August 3rd, 2020, Successfully held

Presented by

lumiata

Here’s what we discussed:

What data are you using to determine which patients would be best for primary telehealth care?

What new predictions do you need to help manage your business differently to be successful with telehealth?

Moderated by 

Miguel Alvarado

Miguel Alvarado

CTO at Lumiata
Jessica McCarthy

Jessica McCarthy

VP Marketing at Lumiata

Here is what we learned

Providers discussed some of the challenges with adopting / integrating telehealth technologies, gathering data and understanding insights for personalizing care

With the pandemic and telehealth what have been the new influencers to build a primary care model?

Companies are thinking with 3 perspectives here, one, helping their providers be more efficient with optimizing visits, optimizing staff strength, and space allocation. The second is with on the inpatient side: How they can better manage the transition from the hospital to outpatient by using virtual care as a bridge to do that? The third perspective is with technology which is the most pressing challenge for providers.

Some providers have seen a good adoption rate from 200 televisits to 90,000/ month and had to include as a part of their care delivery model. Some have been exploring a home-based primary care model collaboration between transitional care settings, acute providers monitoring, and remote patient monitoring.

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About Lumiata:

Predictive power is within your reach. At Lumiata, we drive data transformation so you can better predict costs and manage risks. Whether you are new to AI or advancing your AI capabilities, Lumiata meets you where you are and fits seamlessly into your workflows.

Lumiata has more than 100 healthcare-specific prediction tools that can support the production of intelligent health analytics. These insights can be leveraged across financial, clinical, and operational areas for improved risk awareness and cost management in healthcare organizations.

Lumiata’s models are proven to be more than 20% accurate than leading actuary cost prediction models. To keep model integrity, the Lumiata AI Platform autonomously prepares raw data, including patient medical records, claims, and even unstructured data like doctor’s notes. Lumiata’s AI Platform automates the ingestion, cleansing, and organization of disparate data sources into a consumable data format that makes it ready for machine learning.

Who attended?

Banner Health
Cone Health
Dignity Health
Henry Ford Health System
Thomas Jefferson University Hospitals
Sentara Healthcare

Participation in the Virtual Roundtable is free of charge to qualified attendees. Once you’ve completed the registration, we’ll confirm your invitation and send you a calendar invite with a link to the meeting.

If you don’t qualify, we’ll suggest other learning events that may be a better fit for you.

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