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June 2023  Vol. 35

CampTek kicked off the summer with an in-person team meeting to welcome two new team members: Katie Roscia, Executive Administrator, and Tristan Tucker, Account Executive! We'll be travelling a lot this summer, so it was great to get a small part of our CampTek team together for a working orientation and lunch at our home office in Portland, Maine. 

 

If you're looking to meet us in person, we'll be traveling to the SSON Intelligent Automation Week in Chicago from June 19 - 21. Pop by booth 106 or schedule a time to meet us here

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Name: Tristan Tucker 

Location: Falmouth, Maine

Why CampTek: Coming from Wealth Mangement/Technology sales I have always been keenly interested in forward looking industries and trends, getting to learn more about RPA and the way it will shape society and markets for the future is extremely interesting to me.

Hobbies: Anything outdoors: fishing, hiking, camping, biking and skiing, or exploring casco bay. I also enjoy movies and video games when the winter comes around.

Music: I truly do enjoy almost every genre. These days I listen to a lot of classic rock, folk and piano, but I love indie rock and electronic.

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Name: Katie Roscia

Location: South Portland, Maine

Why CampTek: I have a background in revenue cycle management within the healthcare industry and saw RPA and Automation as an area I could grow in and learn from. What really caught my eye is the application of RPA to the work I was directly overseeing in healthcare.

Hobbies: Cooking, gardening, reading, traveling


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Welcome to CAMP a weekly podcast by CampTek Software where we'll cover all things automation and robotic process automation (RPA). You'll hear from various members of the CampTek team on topics such as Citizen Development, How to Prepare for a Scope Call, What RPA Can Mean for You, and so much more! Check out our first two episodes on YouTube, Linkedin, or Transistor!

Hear from our Senior Intelligent Automation Project Manager, Joyce Zhang, and Director of Customer Operations, Gretchen Hyslip as they discuss Document Understanding and what that means for RPA.


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Enterprise Health System Automation, source Real ROI 

I attended the Avia Summit in Chicago in early May and sat with some of the leading Healthcare Providers in the United States.  It is more apparent to me than ever, the role RPA and AI are playing in the evolution of today’s Health Systems.  My company, CampTek Software, has been creating Automations in this space for some time for all areas of a network (RCM, Clinical, HR, Supply Chain, HIM, IT etc.)  for a variety of different customers on many of the leading EMR’s.  That being said, the lack of adoption of automation technologies at scale in healthcare is still very minimal.  I have talked to some very large Providers who haven’t started “any” journey, even at a limited scope.  In healthcare this seems more prevalent but other industries are also slow to adopt the technology.

At the conference the buzz was all around “AI” and the capabilities it can and could potentially deliver. Some being improved patient outcomes, better patient access, faster revenue recognition, reducing burnout of Clinicians and staff. The true elephant in the room was as one of the presenters asked, “Has implementing an EMR/EHR system made your organization more efficient?”  In several different sessions very few audience members raised their hands in agreement.  Not shocking in my experience of both using these applications but also creating automations to make them more efficient or most importantly to alleviate the burden of the user of having to interact with them.

The consensus is that healthcare, like most industries (i.e. financial services, logistics, manufacturing etc) are facing a problem that can’t be handled by hiring their way out of it.  Hiring at this point is difficult to do.  The job market is adding a record number of jobs and there isn’t the talent pool that existed before the pandemic.  Even at that time the economy was showing signs of overheating based on the hiring cycle. The truth of the matter is that with this talent gap and reduced revenues in healthcare, organizations are forced to do “more with less.” Companies simply need to become more efficient and rely on the technology that is readily available today.  Both RPA and AI are reliable and scalable enough to solve most of this need.  Based on the study of a $2Billion NPR (see the graphic) performed by Avia, there are clearly costs that can be saved with “low hanging fruit” automations out of the gate. I would argue that some of the numbers are relatively conservative based on my experience in the healthcare space.

I was intrigued when I read a quote from various IT leaders of what healthcare in five years.   All were in agreement that healthcare will be digital healthcare.   Specifically, from University of Pittsburgh Medical Center (UPMC), Breton Burns, VP of innovations.   “Digital tools are allowing us to think outside of our traditional walls to provide care across a diversity of formats and settings, including via telemedicine or in the home,”   This should be the warning bell for all Healthcare providers in 2023.  The speed of change will be rapid and for a traditionally technology laggard.

By Peter Camp, CTO & Founder

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ChatGPT: Request Submission for Payers/Insurances

Real RPA Case Studies, Real Verifiable Solutions

Industry: Healthcare

Applications: eCW

Overview:

The bot automation is vetting for medical necessities matching the minimum requirements from payers’ medical coverage guidance (MCG) vs. medical documentation and examination documents uploaded by doctors in eCW.

Once vetted for medical necessities, the robot submits the referral into eCW. It also indicates the specific traits or needs, Procedures, and Total Number of procedures requested based on the data extraction.

 

Where does the need to use AI come from?

When-the robot gathers all the medical documentation and submits the referral once for all the procedures., Each procedure appears in the robot’s input in succession as scheduled by doctors;

-and the referrals are also  created by the business office, not only by the bot;

As a result of these two situations, there is an appearance of a risk of duplicate referrals. The AI comes into play here with its ability to identify this situation. We identify the possibility of checking with AI if the procedures the robot will submit exist in the referral’s reason already submitted.

We are using a standard question and append the procedures -to be requested.

Example:

Case 1: -GPT identifies the duplicate (the robot throws the BRE -procedures already requested)

Procedures to be requested = Venaseal LEFT  SSV + LEFT AAGSV + RIGHT  SSV + RIGHT AAGSV

Reasons of existing referrals = APPROVED MNM VSEAL 36482X4 BIL SSV, BIL AAGSV / VARITHENA 36465X2 BIL GSV

=APPROVED MNM VENASEAL 36482 BIL GSV

CampTek Question: YES or NO, confidence % and how the confidence is calculated, the procedures from this string ‘Venaseal LEFT  SSV + LEFT AAGSV + RIGHT  SSV + RIGHT AAGSV with CPT code 36482’ appear in this string ‘APPROVED MNM VSEAL 36482X4 BIL SSV, BIL AAGSV / VARITHENA 36465X2 BIL GSV’. Please consider CPT code 36478 means EVLA; 36475 means RFA; 36482 means Venaseal; 37765 means Phlebectomy; 36465 means Varithena; 36471 means Sclero

GPT response: YES, confidence 90%.

The confidence is calculated based on the matching of the procedures and CPT codes between the two strings. The presence of “Venaseal LEFT SSV + LEFT AAGSV + RIGHT SSV + RIGHT AAGSV with CPT code 36482” in the first string matches with “VSEAL 36482X4 BIL SSV, BIL AAGSV” in the second string. Similarly, the presence of “VARITHENA 36465X2 BIL GSV” in the second string matches with “LEFT SSV + RIGHT SSV with CPT code 36465” in the first string. The presence of both Venaseal and Varithena procedures with the same bilateral SSV and AAGSV in both strings further supports the confident match.