By Adrian Cheung and the AKASA engineering team This post looks back at one of our earlier approaches to automated document ...
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From Margin Pressure to Mission: How One Health System Is Using AI To Strengthen Financial Health
Ring Attention: Shedding Light on the Dark Art of Attention Sharding
AKASA AI Recovers Millions for Health Systems by Simplifying Complexity
From Great Gatsby to Great Gains: Cleveland Clinic’s GenAI Leap in the Mid-Cycle
Scaling to Millions of Input Tokens for Medical Coding LLMs Using Multiple Instance Learning
Financial Resilience With GenAI: A Roadmap for Health Systems Amid Historic Pressure
From Hype to Impact: Lessons from Cleveland Clinic on Generative AI in the Revenue Cycle
The Future of AI in Healthcare: How AKASA Is Transforming Revenue Cycle Management
Generative AI and the Revenue Cycle: Best Practices From Stanford Health Care and AKASA
Coding Check-Up: Is Your Medical Coding as Comprehensive as It Could Be?
How the AKASA Engineering Team Created an Automation Solution for Database Migrations
AWS Health Innovation Podcast: AKASA’s Vision for Transforming the Revenue Cycle in Healthcare ...
ChatGPT and Healthcare: Exciting Potential That Needs To Be Channeled
Overcoming the Top 3 Challenges Holding Back Healthcare Innovation
Questions Healthcare IT Teams Should Ask About Revenue Cycle Automation
How Top RCM Leaders Are Prepping for the Future: Becker’s Annual Meeting Panel Recap
The Gradient Podcast: An Interview on AI and Healthcare With AKASA CTO and Co-Founder Varun Ganapathi
A Facial Focus on Health: My Movember Experience and Commitment to Making a Difference in Men’s ...
If Incorrect Medical Bills Cost Americans $88B Annually, Could AI Be the Solution?
Machine Learning in Medicine: Using AI to Predict Optimal Treatments
Mining Electronic Medical Records for Cancer Treatment Decisions
57% of People Owe Medical Debt — Here’s What Healthcare Revenue Cycle Leaders Must Do
Current Challenges and Best Practices for Hospital Revenue Cycle Management
32 of the Best AI and Automation Quotes To Inspire Healthcare Leaders
How Machine Learning and Human-in-the-Loop Approaches Are Expanding Automation Capabilities, a Te ...
Deploying AI-enabled Automation to Improve Operations and Patient Experience
Burning at Both Ends: One Leader's Thoughts on Revenue Cycle Staffing
Healthcare Revenue Cycle Trends in 2022: Automation, Staffing Challenges, and Beyond
3 Takeaways from Becker’s 2021 Hospital Review CEO + CFO Roundtable
Human After All: Artificial Intelligence Requires Real Human Intellect
Healthcare Revenue Cycle Management and Lean: What it Means and How to Implement
Healthcare Claims Denials Are at an All-Time High: Here’s What You Can Do
Artificial Intelligence is Key to Unlocking Operational Scale in Healthcare
Published Research: Machine Learning Model, Deep Claim, Successfully Predicts Claims Outcomes
Insight Into Consumer Attitudes Should Inform How We Return To Routine Care