Insider News for Nov/Dec 2023
Our team has fun calling out the obvious challenges of creating and launching healthcare infrastructure. Among our many sarcastic hashtags, we use #killthefax. It reminds us that it wasn’t that long ago that medical records were paper, data comes in multiple formats and is often in disparate databases, and our industry is still in the midst of digital transformation. It's a paradox that most healthcare technology professionals will understand.
Further, AI is on everyone’s mind as a transformative technology across many industries. At the same time, data sharing in healthcare is still done via fax. This century-old technology still has us firmly in its grip, even as AI-enabled healthcare solutions are hitting the market!
No more excuses
The fact is that we can communicate without the fax machine. We can share data and transact with others in real time. And we can apply AI to large data sources to glean critical insight. Through the increasing adoption of industry standards like FHIR, we’re able to normalize data and continue to make progress and evolve. The challenge is that developing and deploying FHIR-based solutions is expensive and requires extensive IT resources to manage.
There’s a better way
The Avaneer Health platform and network are designed for interoperability and simplicity. With a modern, secure infrastructure and a built-in suite of FHIR-enabled tools, payers and providers can communicate and transact directly without requiring huge infrastructure investments. And because the network enables permissioned and audited data sharing without data aggregation by Avaneer Health, it eliminates the need for third-party solutions, giving data owners more control over their data.
There’s no excuse to stay tethered to the fax, file exchanges, or data aggregation. Payers and providers can begin reaping the rewards of greater interoperability today.
In This Issue
Industry Highlights
Identifying the right use cases for federated learning and analytics
Integrate.ai
Most data science initiatives fail because they don’t have access to the appropriate data. But that’s changing thanks to federated learning for data silos. “In traditional machine learning, all data must be centralized in one database before training a model. In federated learning, models are trained on decentralized datasets - that is, the data resides in two or more separate databases and never needs to be moved.”
This insightful article shares the five steps to identifying use cases for federated learning.
Read More
Featured Avaneer Content
What if you could access all active and inactive coverage data in real time without aggregating data? And what if that information were always updated and available within your own system? It’d lead to:
- More accurate claims management
- Better coordination of benefits
- Insight into payer discrepancies on primacy
- Seamless reconciliation of misaligned data
- Reduced administrative costs
- Enhanced patient experience
Request a personalized demo
Collaboration Services for Developers: tools and services for launching solutions
Watch a short demonstration of how Avaneer Collaboration Servicesᵀᴹ enables developers to launch solutions seamlessly and automate workflows.
Watch now
From the Avaneer Podcast
New podcast focusing on innovation
The Avaneer Health team is launching a new podcast that will feature discussion with innovators who are disrupting how healthcare works, truly transforming processes and infrastructure, and challenging the status quo. Our first episode describes our vision for the podcast.
Listen here
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