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Our Blogs


Closed-Loop Healthcare: How to Track Test Results, Referrals, and Follow-Up
A referral is ordered. A test is completed. A report is filed. Everyone assumes someone else closed the loop. Weeks later, the patient has not been scheduled. The report has no documented acknowledgement. The follow-up recommendation is still buried in text. The EHR contains the pieces, but the organization has no reliable proof that the intended action occurred. This is the open-loop problem in healthcare. A healthcare loop is closed only when the required action is compl
Jul 245 min read


AI in Revenue Cycle Management: How to Prevent Claim Denials Before Submission
Denial prevention isn't a coding problem or a billing problem. It's a connection problem. Documentation, eligibility, authorization, and payer rules all live in different systems and rarely talk to each other before a claim goes out. This piece breaks down how AI can bridge that gap pre-bill, so denials get caught before submission instead of appealed after.
Jul 245 min read


Build vs. Buy Healthcare AI: A Decision Framework for Health System Leaders
Every quarter you delay clinical AI for behavioral health, denials, burnout, and missed bonuses quietly grow. This piece walks through the real cost of in-house builds and shows how an AI clinical intelligence layer lets behavioral health enterprises move fast without starting from scratch.
Jul 245 min read


AI Medical Scribes vs. Clinical Intelligence: What Health Systems Need Beyond Note-Taking
If your strategy for fixing burnout is just buying AI scribes, you’re only solving the typing problem. This article walks through where AI scribes stop, what true clinical intelligence looks like, and how Kana Health supports risk, outcomes, and revenue.
Jul 245 min read


AI for Clinician Burnout: What Actually Reduces Administrative Burden
Behavioral health executives are rethinking burnout as a systems problem, not a wellness issue. This piece explores how AI for clinician burnout can remove administrative friction, extend clinical capacity, and turn retention into one of your most powerful levers for growth and margin.
Jul 245 min read


AI EHR Integration: How Health Systems Add Intelligence Without Replacing the EHR
Most health systems don't want to rip out their EHR. They want it to work harder. This piece breaks down how FHIR, HL7, and API-based integration let you layer AI across clinical and operational workflows without touching your core system. No rip and replace. Just a smarter intelligence layer on top of what you already have.
Jul 246 min read


Remote Patient Monitoring Billing: The RPM and RTM Compliance Guide for Health Systems
Learn how measurement based care in behavioral health can double as billable infrastructure for RTM and value-based contracts. This guide breaks down CPT 98975–98981, common documentation gaps, and how AI tools like Kana Health turn everyday check-ins into reliable, audit-ready revenue.
Jul 246 min read


Digital Therapeutics for Mental Health: 2026 Guide
Explore how regulated digital therapeutics for mental health are moving beyond wellness apps to deliver evidence-based care at scale. This overview walks behavioral health leaders through outcomes, reimbursement shifts, and the role of AI intelligence layers in making DTx usable across complex enterprise systems.
Jul 36 min read


AI for Couples Therapy: Continuous Care at Scale
Wondering how AI for couples therapy fits into an enterprise care model? This piece unpacks the structural gaps in weekly sessions and shows how platforms like Kana Health turn scattered relationship data into continuous insight, better outcomes, and lower revenue risk.
Jul 36 min read
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