Payer Provider Directories + Appointment Scheduling
This post was co-authored with Aneesh Chopra, Chief Strategy Officer at Arcadia and first U.S. Chief Technology Officer under the Obama administration,
Category: Data at Work
CMS Announces National Directory for Healthcare Pilot in Oklahoma
Yesterday at Health Datapalooza, CMS announced its intent to pilot key components of a National Directory of Healthcare in the state of
Using Provider Directory APIs to identify errors in plan directories
“One potentially promising method is to use data analytics to compare health plans’ directories, many of which are available in machine-readable formats
Provider Directory API’s Supporting Role in the 2024 CMS Interop Rule
Key Takeaways: Re-Cap of the 2024 Rule Our previous post included a summary of the 2024 CMS Interoperability and Prior Authorization Final
How payers can think about competition as network and price transparency expands
Regulatory Requirements on Network and Price Transparency Transparency-related federal rules are causing a seismic shift in the healthcare industry, compelling payers to
Using Payer APIs to Improve Mental Health Networks
In our last article, we explored mental health ‘ghost’ networks as discussed in the May 3rd Senate Finance Committee hearing. We summarized
What indoor healthcare wayfinding taught me about the governance of practice location data
With the convergence of payer and provider interoperability, there is growing interest in how data sourced directly from EHRs could support provider
Epic partners with Mapquest: EHR and location awareness
Last week, Epic announced it is partnering with Mapquest to ‘enable location services within its EHR system’. Three questions come to mind
Hire healthcare data to do a job
Applying Job-to-be-done Theory to Healthcare Data I believe that when a customer purchases a product, they are “hiring” that product to do
Embracing real-world uncertainty with Monte Carlo simulations – Part 2
In a previous post we saw how Monte Carlo simulations increase the usefulness of your model in making good decisions in an