Table of Contents

What’s the hidden cost of inefficiency in healthcare?

How much are inefficiencies plaguing health information management?

The healthcare industry processes 30 billion transactions yearly – an estimated cost of $250 billion. Manual processes drain healthcare organizations silently but relentlessly, contributing to costs and taxing your teams of valuable time over disorganization, administrative tasks, and errors. How much is too much to sacrifice on inefficiency? 

Manual processes, legacy systems, and paper-based workflows delay what matters most... patient care.

Paper isn't cheap

$18 – 22 BILLION/year is spent on paper and storage – not just for printing, but also for

Plus, 5% of paper records go missing annually — leading to treatment delays and billing issues.

Your admins are overloaded

Did you know that LESS THAN 15% of a healthcare professional’s time is spent actually reading information.

Specifically among doctors, approximately four hours per week are lost to information hunting. That’s up to 10 missed patient visits.

Errors erode efficiency

Manual documentation has a 50% higher error rate compared to digital systems, resulting in:

The rippling consequences and the path forward

When 5% of paper records go missing each year, that’s not just a clerical issue — that’s a clinical one. A delayed prior authorizations mean postponed treatment. A misplaced chart can mean one of those hugely frustrating billing delays, or worse, a missed diagnosis. When providers lose time, patients lose care. And that’s bad news bears.

The good news? It’s not inevitable. 

Powerful automation solutions like intelligent capture and evolving workflow systems integrating AI and agentic power (see CIC and UiPath) collaborate with EMRs to digitize or otherwise eliminate clutter, minimize manual inputs, streamline work, and bring clarity to the chaos of claims and documentation.

Faster decisions. More time for patients. That’s the promise.

It’s not about replacing people. It’s about letting people do the work they trained for while automation handles the rest.

And speaking of people. KeyMark’s got a team of really smart people to help you navigate your next business process project. Get connected and we’ll help you identify some areas where automation could really ease some tension on patients and professionals.

Streamline the flow of data to and from HIMS and save time for patient care.

Keep Reading

Training an LLM can be costly. RAG maximizes context and understanding.

How to Train an LLM for your Enterprise

Don’t. Leave full LLM training for Google, OpenAI, and Anthropic. Select a model; fine-tune only if it suits you; and improve results by limiting the scope of what the model sees with RAG. In our blog, the Document Data Crisis, we described that bad responses are not a model problem

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