Skip to content
Search to learn about InterSystems products and solutions, career opportunities, and more.

It’s Time to Automate Prior Authorizations. But How?

Prior Authorizations

Prior authorization — the process by which health insurers determine whether they cover clinical services before someone receives them — has long been a burden for patients, providers, and payers.

Could data technology help transform prior authorization? Three industry experts say the answer is clear: Yes. Here are five takeaways from their conversation at InterSystems Virtual Summit.

1 - Manual prior authorization causes measurable harm.

Manual work and redundancies burn billions of dollars, notes Lynda Rowe, Senior Advisor, Value-based Markets, for InterSystems.

In fact, 34% of healthcare delivery organizations have dedicated staff to complete prior authorizations. Providers receive requests for roughly 14 prescriptions and 15 medical services each week, which take two workdays to process.

Manual prior authorizations contribute to care delays — 92% of which stem from inefficiencies and administrative issues.

2 - Automating prior authorization solves big challenges.

But 80% of prior authorizations requiring clinical and administrative review can be automated. That’s a win for patients, who get timely care, and payers and providers, who bear lower costs.

On average, each manual prior authorization costs $3.68. Automated prior authorizations run just $0.04.

3 - HL7 Da Vinci empowers payers and providers to streamline prior authorization.

HL7’s Da Vinci project, which produces standards and implementation guidelines to better connect payers and providers, is tackling prior authorization.

The 646-bed health system UC Davis Health, the 25.4-million-member payer Centene, and InterSystems have partnered to establish infrastructure conformant to HL7 Da Vinci implementation guides to streamline prior authorization workflows. The organizations intend to remove latency and enable real-time data sharing.

“We want to take interoperability to the next level so that we can provide a more seamless experience,” says Michael Marchant, director of health information exchange and system integration for UC Davis Health.

4 - Clinical data interoperability matters.

The project depends on connecting UC Davis Health’s EHR to Centene’s payer systems. InterSystems HealthShare acts as the intermediary, using CDS Hooks to power real-time data sharing.

The technology brokers transactions by applying rules, ensuring the right information reaches the right person when it matters most. Upon receiving a prior authorization request, Centene’s system may query UC Davis Health’s EHR to search for clinical data that supports the need for a given service, procedure, or product.

“Historically, we have tried to solve the problem with claims and attachments,” Rowe says, “when we really need clinical data and rules.

5 - Automate prior authorization now.

Automated prior authorizations are cutting edge, but that’s about to change. CMS has announced that payers must soon streamline the process. If there were ever a time to get ahead of the regulations — and make real progress for members and the business — it’s now.

Other Resources You Might Like

Jul 27, 2026
Fundamentals
Agentic AI in Healthcare A multi-agent AI system recently diagnosed rare medical cases correctly over 80% of the time. That's four times better than seasoned human clinicians. It didn't get there by being smarter than any single AI. It got there by having multiple agents argue with each other until the errors got caught.
Jul 27, 2026
Fundamentals
FHIR is the REST API standard transforming healthcare data exchange. Learn how the VA and FDA use FHIR APIs for automated adverse event reporting, and what it means for your health system.
Jul 27, 2026
Fundamentals
Overview An eye surgery center was losing patients. Not to competitors, but to no-shows. Eighteen percent of scheduled appointments went unfilled every week. Four full-time staff members spent their days calling roughly 500 patients, trying to confirm appointments. When that didn't work, the clinic overbooked randomly, hoping the math would balance out. Some days every patient showed up and the waiting room was chaos. Other days slots sat empty.
Jul 27, 2026
Fundamentals
Conversational AI in healthcare is reducing patient portal overload with urgency tagging, AI-assisted responses, and intelligent message routing. Learn what's deployed and what the evidence shows.
Jul 22, 2026
Fundamentals
RAG retrieves knowledge from your documents. MCP gives AI a standardized way to take actions. Learn when to use each, when to use both, and how they work together in production systems.
Jul 22, 2026
Fundamentals
APIs are built for developers. MCP is built for AI agents.
Jul 22, 2026
Proven and Trusted
The Gold-Standard Partner for International Expansion
Jul 20, 2026
Fundamentals
Agentic AI architecture assigns specialized AI agents to distinct tasks so the combined result outperforms any single model. Learn core components, patterns, and decision frameworks.
Jun 15, 2026
HIMSS Infographic
HIMSS Market Insights Survey Reveals Healthcare Leaders’ Data Priorities
Jun 15, 2026
HIMSS Market Insights Study
Healthcare’s AI Ambitions Face a Data Reckoning

Take The Next Step

We’d love to talk. Fill in some details and we’ll be in touch.
*Required Fields
Highlighted fields are required
*Required Fields
Highlighted fields are required

By submitting your business contact information to InterSystems through this form, you acknowledge and agree that InterSystems may process this information, for the purpose of fulfilling your submission, through a system hosted in the United States, but maintained consistent with any applicable data protection laws.



** By selecting yes, you give consent to be contacted for news, updates and other marketing purposes related to existing and future InterSystems products and events. In addition, you consent to your business contact information being entered into our CRM solution that is hosted in the United States, but maintained consistent with applicable data protection laws.
x
Currently deployed:
PR change was detected!
was replaced by
Please refresh the page to see the changes!