BLOGS
Insights from AKASA
LLMs and Generative AI
How AI Is Reshaping Healthcare's Next Decade
Mid-Cycle Resources
What ACDIS 2026 Taught Me: CDI Can’t Keep Playing Whack-a-Mole
Engineering and Technology
Working With FHIR: Fetching Healthcare Data, Step by Step
Engineering and Technology
Four Years in Engineering at AKASA and the Work Keeps Getting More Interesting
Revenue Cycle Resources
What Happens When You Review 100% of Charts
Revenue Cycle Resources
Why Leading Health Systems Partner With AKASA
Mid-Cycle Resources
The Mid-Cycle Pain Points Every Leader Is Feeling
Engineering and Technology
How LLMs Upgraded Our Pydantic Implementation With a Shim Library
Prior Authorization
Document Selection for Medical Procedure Authorization
LLMs and Generative AI
Mid-Cycle Resources
Why This Coder Finally Believes in AI
LLMs and Generative AI
Mid-Cycle Resources
The Day GenAI Caught What a CDI Expert Missed
LLMs and Generative AI
Management and Leadership
From Margin Pressure to Mission: How One Health System Is Using AI To Strengthen Financial Health
LLMs and Generative AI
Mid-Cycle Resources
Healthcare AI Successes and Best Practices: Lessons from Becker’s
LLMs and Generative AI
The Future of Health: What PwC’s $1T Shift Means for Health Systems
Engineering and Technology
Ring Attention: Shedding Light on the Dark Art of Attention Sharding
Management and Leadership
AKASA AI Recovers Millions for Health Systems by Simplifying Complexity
LLMs and Generative AI
Mid-Cycle Resources
From Great Gatsby to Great Gains: Cleveland Clinic’s GenAI Leap in the Mid-Cycle
Engineering and Technology
Scaling to Millions of Input Tokens for Medical Coding LLMs Using Multiple Instance Learning
LLMs and Generative AI
Mid-Cycle Resources
Financial Resilience With GenAI: A Roadmap for Health Systems Amid Historic Pressure
Mid-Cycle Resources
From Hype to Impact: Lessons from Cleveland Clinic on Generative AI in the Revenue Cycle
LLMs and Generative AI
From Chaos to Clarity in Data With Malinka Walaliyadde
Mid-Cycle Resources
Key Takeaways From ACDIS 2025: Quality, AI, and the Future of CDI
Mid-Cycle Resources
Fast Track to Better Margins: How GenAI Is Transforming the Mid-Cycle
LLMs and Generative AI
The Future of AI in Healthcare: How AKASA Is Transforming Revenue Cycle Management
Mid-Cycle Resources
Why You Need To Rethink Your Revenue Cycle Priorities
LLMs and Generative AI
Revenue Cycle Resources
Unlocking the Promise of Generative AI
LLMs and Generative AI
Generative AI and the Revenue Cycle: Best Practices From Stanford Health Care and AKASA
Mid-Cycle Resources
AHIMA24 Report for Medical Coding Leaders
Mid-Cycle Resources
Why Medical Coding Needs Generative AI
Mid-Cycle Resources
Revenue Cycle Resources
Coding Check-Up: Is Your Medical Coding as Comprehensive as It Could Be?
LLMs and Generative AI
Best Practices and Use Cases for Generative AI in the Revenue Cycle
LLMs and Generative AI
Revenue Cycle Resources
Future-Proofing Your RCM Team
Engineering and Technology
How the AKASA Engineering Team Created an Automation Solution for Database Migrations
Business Office Resources
Revenue Cycle Resources
Why Start Revenue Cycle Automation With Claim Status
Revenue Cycle Resources
Top 8 Healthcare Revenue Cycle Trends for 2024
Business Office Resources
Revenue Cycle Resources
How To Improve Revenue Cycle A/R Days
Business Office Resources
Revenue Cycle Resources
9 Ways To Work Medical Billing Denials More Effectively
Revenue Cycle Resources
Your Healthcare Revenue Cycle Dictionary
Management and Leadership
Revenue Cycle Resources
Waiting to Deploy RCM Automation Is Costing Your Health System
Revenue Cycle Resources
My Revenue Cycle Insights from the 2023 HFMA Annual Conference
Revenue Cycle Resources
AWS Health Innovation Podcast: AKASA’s Vision for Transforming the Revenue Cycle in Healthcare With Ben Beadle-Ryby
Engineering and Technology
ChatGPT and Healthcare: Exciting Potential That Needs To Be Channeled
Engineering and Technology
Revenue Cycle Resources
Overcoming the Top 3 Challenges Holding Back Healthcare Innovation
Engineering and Technology
Revenue Cycle Resources
7 IT Mistakes You’re Making With Your RCM Automation Partner
Engineering and Technology
Revenue Cycle Resources
Questions Healthcare IT Teams Should Ask About Revenue Cycle Automation
Management and Leadership
How Top RCM Leaders Are Prepping for the Future: Becker’s Annual Meeting Panel Recap
Engineering and Technology
Revenue Cycle Resources
9 Healthcare Technology Trends To Watch
Engineering and Technology
The Gradient Podcast: An Interview on AI and Healthcare With AKASA CTO and Co-Founder Varun Ganapathi
AKASA Culture
A Facial Focus on Health: My Movember Experience and Commitment to Making a Difference in Men’s Health
Revenue Cycle Resources
What Is Healthcare Revenue Cycle Management?
Revenue Cycle Resources
If Incorrect Medical Bills Cost Americans $88B Annually, Could AI Be the Solution?
Revenue Cycle Resources
What Is Revenue Integrity in Healthcare?
Management and Leadership
What Is Change Management in Healthcare?
Engineering and Technology
Machine Learning in Medicine: Using AI to Predict Optimal Treatments
Engineering and Technology
Reaffirming Our Commitment to Data Security and Privacy
Engineering and Technology
Mining Electronic Medical Records for Cancer Treatment Decisions
AKASA Culture
Becker’s Hospital Review Podcast: An Interview with AKASA Co-Founders
AKASA Culture
Engineering and Technology
Senior Software Engineer Armaghan Behlum on Why He Joined AKASA
Revenue Cycle Resources
57% of People Owe Medical Debt — Here’s What Healthcare Revenue Cycle Leaders Must Do
Company Updates
Engineering and Technology
Leading With a Research-First Approach
Engineering and Technology
What the AKASA Engineering Team Looks for When Hiring
Patient Access Resources
Revenue Cycle Resources
Unpaid Claims? Poor Patient Experience Might Be To Blame
Management and Leadership
Revenue Cycle Resources
32 of the Best AI and Automation Quotes To Inspire Healthcare Leaders
Revenue Cycle Resources
Revenue Cycle Management for Children’s Hospitals: Unique Challenges and Best Practices
Engineering and Technology
How Machine Learning and Human-in-the-Loop Approaches Are Expanding Automation Capabilities, a TechCrunch Talk
Management and Leadership
Deploying AI-enabled Automation to Improve Operations and Patient Experience
Revenue Cycle Resources
Burning at Both Ends: One Leader's Thoughts on Revenue Cycle Staffing
Revenue Cycle Resources
Healthcare Revenue Cycle Trends in 2022: Automation, Staffing Challenges, and Beyond
Management and Leadership
Revenue Cycle Resources
3 Takeaways from Becker’s 2021 Hospital Review CEO + CFO Roundtable
Engineering and Technology
Human After All: Artificial Intelligence Requires Real Human Intellect
AKASA Culture
Using Machine Learning to Enable Autonomous Medical Coding
Management and Leadership
Healthcare Revenue Cycle Management and Lean: What it Means and How to Implement
AKASA Culture
Engineering and Technology
The Principles of a Successful Engineering Team
Business Office Resources
How AI-Powered RCM Solutions Can Fix Hospital Bad Debt
Business Office Resources
Healthcare Claims Denials Are at an All-Time High: Here’s What You Can Do
AKASA Culture
Revenue Cycle Resources
AKASA Joins Becker’s Healthcare Podcast to Discuss Automation
AKASA Culture
Engineering and Technology
AKASAHacks - How We Run (Virtual) Hackathons
Company Updates
Elevating Our Business and Our Brand: AKASA Secures Additional Funding
Engineering and Technology
IAM Management as Code
Revenue Cycle Resources
Artificial Intelligence is Key to Unlocking Operational Scale in Healthcare
Revenue Cycle Resources
The Revenue Cycle of the Future
Engineering and Technology
Published Research: Machine Learning Model, Deep Claim, Successfully Predicts Claims Outcomes
Revenue Cycle Resources
Insight Into Consumer Attitudes Should Inform How We Return To Routine Care
AKASA Culture
How Did Paying for Healthcare in the U.S. Get So Complicated?
