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October 2022  Vol. 27

We’ve had an eventful October! Between attending the UiPath Forward 5 conference in Las Vegas and the Becker’s 7th Annual Health IT + Digital Health + RCM Conference in Chicago, we’re exhausted but so excited to have met some of you and taken away best practices and updates to our provided services.  
 
CampTek was very proud to be one of the ONLY managed service providers for automation solutions there – so there was no shortage of interest – especially from our Revenue Cycle Management (RCM) colleagues!  The 3-day schedule was packed with great sessions like Innovation in the Revenue Cycle: What to Know for the Next 5 Years, Digital Transformation in Healthcare: A Consumer-Centric Approach and Leveling the Playing Field for Women in Healthcare and IT – just to name a few.  The Keynote Speakers included big names like Michelle Wie -LPGA Golfer, Sugar Ray Leonard -Boxing Legend and George W. Bush – 43rd President of the US.  Needless to say, the conference was informative, thought-provoking and insightful. 

We were joined by Spencer Dunlap, Director of Client Operations at Claim Capital for part of the conference at our booth. He and our CTO and Founder, Peter Camp, provided brief, pop-up demonstrations of a collaborative solution using UiPath’s Process Mining tool to identify the weaknesses in the claims processing process and utilizes RPA and UiPath to correctly process those claims and update the associated accounts. We were struck by the amount of interest and are energized by the conversations with many interested conference goers we had. 

Watch our demo here!
 
We left the conference feeling energized and ready for what the remainder of Q4 and the new year have in store for us. There is no denying that folks in the healthcare industry are looking for solutions to help ease the pinch of today’s economy and workforce challenges.


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RPA *is* an Enterprise Platform

You read that right.  Robotic Process Automation (RPA) in the present tense now offers capabilities that far exceed its early iterations of scripting, screen scraping and scheduled jobs.  I know some others in the industry will disagree that RPA in its true sense is not an enterprise platform.  I respectfully disagree. Several years ago, industry experts made the distinction between RPA and Intelligent Process Automation (IPA) which, in my view, only added to the confusion.

Currently the term “RPA” has much more name recognition than “IPA”. New and existing customers of the technology generally refer to “RPA” when in a literal sense it’s “IPA”.   It is my thought that the concept of RPA is not static but is rather something that is evolving and will continue to improve over time.

As I have written before, one of the greatest boosts for the RPA space was coining the term “RPA” to describe what I and others had been building for years before it. Without something to call it, there really wasn’t an effective way to describe what the software program was doing.  I have always looked at RPA as an entire suite of tools.  Initially it was activities that clicked buttons and typed data into applications.  After that Orchestration brought scale to the management and monitoring of the bots on Virtual Machines. Now we are in a stage where the next set of activities are mature, work reliability and can bring enormous outcomes and ROI within a small amount of time.

The promise of Process Mining as a Business Process Management tool for an enterprise is real and documented (Check out this demo with Claim Capital on Process Mining Claims).  In addition, Task Mining can yield meaningful results and is imperative for the expansion or in some cases the start of an automation program.   I will also say that traditional activities like OCR, Natural Language Processing, Object detection, and complex document understanding are all very reliable. In some cases, using the best in breed intelligent document understanding tool, like Indico Data, offers delivery on the promise of the technology with minimal upkeep and fast time to production.  In addition, the Machine Learning model has gotten exponentially easier than it was just 1 or 2 years ago.  The wide use of these models will become more prevalent and cost effective as the processing power of computers increase and the underlying data is cleansed and accessed more easily.

I realize that these tools are each in their own category and segment of the software space but to a bot they are all just another activity it can use to automate a task, which, in itself, is RPA.

 

-Peter Camp, CTO & Founder

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Epic/Availity Claim Statusing Case Study

Real RPA Case Studies, Real Verifiable Solutions

 
Industries: Healthcare
Systems: Epic, Availity
EPIC Availity Claims Status Gif

Challenge:

CampTek Software recently worked with a large healthcare provider with fifteen hospitals in the Mid-West. The goal was to alleviate their RCM staff of 1,000 FTE’s of having to perform manual processes. After a quick analysis it was determined that Claim Statusing was a process that could be automated.  

As part of this daily process, Full Time Employee’s (FTEs) had to manually update Epic with claim status from Availity. The average number of claims was 54,000 per month. 

Solution:

CampTek Software was able to analyze, design, build and place this bot into production within 4 weeks. The bot includes business rules and exception handling and reporting. The automated solution takes the manual process out of their hands so they can focus on other revenue cycle activities that before were not able to be addressed. 

The monthly hours saved: 2,652