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The Linear Health Journal

Healthcare AI insights for operational leaders

Practical guides to referral automation, prior authorization AI, care gap closure, AI voice agents, and patient scheduling. Written for the teams who run specialty practices, FQHCs, and PE-backed medical groups.

Key Takeaways

The Linear Health Journal publishes 162 practical guides on AI automation for healthcare operations: referral management, prior authorization workflows and CMS-0057-F compliance, care gap closure and HEDIS quality measures, AI voice agents for patient calls, patient scheduling and no-show reduction, and medical fax automation. Built for operational leaders at specialty practices, FQHCs and community health centers, and PE-backed multi-site medical groups.

Latest articles

Referral Management Software Pricing: Compare Quotes on the Same Work

A practical pricing worksheet for comparing referral software on the same scope, volume and first-year cost assumptions.

Referral Bottleneck Analysis: Separate Staff Work From Waiting Time

Reconstruct the referral timeline before deciding whether the next improvement needs more staff, better information, or a different handoff.

All articles

162 entries

Referral Management Software Pricing: Compare Quotes on the Same Work

A practical pricing worksheet for comparing referral software on the same scope, volume and first-year cost assumptions.

Referral Bottleneck Analysis: Separate Staff Work From Waiting Time

Reconstruct the referral timeline before deciding whether the next improvement needs more staff, better information, or a different handoff.

Voice AI and EHR Scheduling: Ten Tests Before You Trust a Booking

Test voice AI scheduling integration with ten booking scenarios covering write-back, duplicate prevention, cancellations, outages, and recovery.

Patient Self-Scheduling: Design a Booking Flow Patients Can Finish

Build a patient self-scheduling flow with clear slot eligibility, confirmed bookings, accessible recovery paths, and a measurable booking funnel.

Healthcare Call Center Automation: Manage Resolved Requests, Not Just Calls

Design healthcare call center automation around call reasons, resolved requests, repeat contacts, handoff queues, and the workload staff still own.

Multi-Location Voice AI: Keep Every Call Connected to the Right Site

Plan multi-location voice AI with a site configuration register, clear routing ownership, location confirmation, and tests for cross-site mistakes.

Voicebot, IVR, or Live Agent? Match the Phone Experience to the Task

Compare voicebots, IVR, and live agents by task, integration needs, caller choice, and recovery paths using a practical healthcare decision matrix.

Voice AI ROI in Healthcare: Build a Model Finance Can Reconcile

Calculate voice AI ROI using actual billed minutes, repeat calls, human handoffs, cash savings, and verified contribution from additional visits.

Referral Automation ROI After Go-Live: Prove the Benefits You Actually Realized

Measure referral automation ROI after implementation with comparable cohorts, an evidence ledger, cost reconciliation, and finance-approved benefits.

Referral Leakage Benchmarks: Compare the Same Cohort Before Comparing Rates

Evaluate referral leakage benchmarks with matching denominators, observation windows, outcome definitions, and an illustrative comparison worksheet.

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Explore our complete guides: What is Referral Management? · Referral Software Buyer's Guide · Operational AI in Healthcare

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