With a proven track record of developing and supporting RPA Applications, CampTek Software has built successful RPA Solutions in almost every industry. We have a variety of healthcare use cases to draw from and are adding more each day.
PATIENT REGISTRATION AND ENCOUNTER DATA
The Healthcare System had full-time employees (FTEs) manually entering patient encounter data into the Cerner Revenue Cycle Accounting system. In other words, the manual process encompassed roughly 3,500-4,100+ transactions per month with an average handling time of 1-2 minutes per manual transaction. In addition, they also experienced a 30% error rate on the records that were input manually.
CampTek Software through its RPA methodology was able to automate the entire process. The timeline for process analysis, development, client acceptance, and finally live production was a mere four weeks from start to finish.
- This one automation ultimately saved an average of 32 hours per week and a total time of 252 hours for a two-month period. This automated process has also significantly improved the accuracy of data entry resulting in a 2% business exception rate.
- CampTek Software and the customer are now exploring additional High-Value RPA candidates to automate additional otherwise manual processes.
Agents of a leading Healthcare System were manually logging into healthcare provider portals to check patients’ eligibility and benefits for upcoming appointments. Accurate confirmation streamlines claim submissions and health plan reimbursements. However, with more than 120 provider portals changing every quarter and agents expected to be familiar with each of them, the verification process was complex.
An (RPA) solution for the provider’s complete eligibility and benefits verification process. In other words, the automation process pulls patient appointment lists from healthcare provider portals across various locations, prioritizes these appointments, extracts appointment details by accessing two different applications and 14 screens, consolidates output reports and confirms patients who are eligible for benefits. The bots also validate and update eligibility and benefits details in each practice’s portal.
- 5,000 Transactions processed per day
- 100% accuracy
- 17,000 hours saved yearly
INSURANCE CLAIM PROCESSING
Many Healthcare and Insurance companies have to process claims that are raised against insured members for any initial process to trigger claims processing in their system and which also forms the paper-based proof that can be saved. In conclusion, processes like these can be automated such that the forms can be read and then the manual data entry to the applications where these claims are processed, can be done by the RPA solution.
The company’s process for handling claims for a leading healthcare company was slow, error-prone, and complex. Inundated with the information of 70 million people, the workflow typically saw high defect rates, resulting in lower accuracy of registrations being loaded and inefficient handling of sensitive information. Backlogs and high-turnaround time were also major pain points for the company.
Robots supported the claims value chain and automated 35-40% of the process on the platform. The automation improved compliance with regulatory requirements and enabled risk-free transaction processing for sensitive data.
- 68% improvement in productivity
- 45 minutes of manual effort saved
- More than 95% enhancement in accuracy
A manufacturing company operates in SAP and found that processing supplier invoices through the system required a large number of manual interventions, in terms of reading, validating, registering, and posting invoices. Automation was first implemented in one of the accounts payable (AP) teams, which processes approximately 2,000 supplier invoices every day.
Through successful automation, the manufacturer managed to almost completely eliminate human intervention in the AP process. Moreover, the robot logs into the necessary systems, reads the invoice image, registers the invoice in SAP, performs all the necessary validation, including cross-checking against other systems, and ultimately decides whether to post, park or block the invoice.
- Above all, the time saved that was previously spent on manual work is in the range of 65%-75%
The company’s accounts payable team handled tens of thousands of invoices received by email manually, posting them to their enterprise resource planning (ERP) system monthly. As the company deals with more than 2,000 vendors and each has their own invoice template, the process requires analysts with experience to read and post the invoices.
The RPA robot was built to populate the fields with the extraction data in the companies ERP system. However, it also handles the business logic such as sending follow-up emails and archiving invoices.
- 60% reduction in overall workload
- More than 90% success rate of invoice data extraction
CampTek Software recently worked with a Basware client that was manually processing their invoices. Firstly, due to a lack of integration between the system that produces the invoice and the Basware system, where it’s ultimately stored, the process was tedious and frequently invoices were processed with errors. Secondly, invoice processing is crucial to their operation. Moreover, it’s very problematic when the invoice data is captured inaccurately and inefficiently. As part of their supply chain process, a Full-Time Employee (FTE) had to manually pull purchase orders from Basware and then log into another disparate Office Depot system to search the order delivery status and then return updates back into Basware.
CampTek Software worked with the Basware client to analyze and develop RPA workflows to address the company’s process inefficiencies and pain points. Above all, the RPA production solution was able to process the goods procurement workflow in 25 seconds versus the 5 minutes it took an FTE.
The automated production solution ultimately saved an average of 4 hours per week or a total time of 52 hours over the 13 week period and reduced the number of errors. It also afforded the FTEs more time to focus on higher-value activities.
Underwriting is the process that comprises a collection of information from numerous sources for assessing risks that are associated with the given policy. It is a very prolonged process and takes about 3 to 4 weeks on average in the life insurance niche. RPA can gather and also process the accurate data automatically and at a much faster pace from both internal and external sites. It helps in freeing up about 30 percent of the capacity and it can also ensure accuracy and delivering the work in a timely manner. RPA can be used for this to mitigate risks and also allow more new customers to come, with faster response times.
The company’s product control team struggled with manually creating 18 individual daily profit and loss (P& L) reports by reformatting general ledger (GL) data. Each day, the product control team imported GL batch and web intelligence reports into an access database or Excel files to manipulate and reformat the data into specific P& L reports. They then emailed them to the front office for review and uploaded them into the head office’s web application.
Each workday at 9 a.m., the Robot automatically populates the report data and runs respective macros as part of the validation and data transformation process. Moreover. the Robot emails these reports to the front office for review and uploads them into the head office web application without manual intervention. This automation allows the product control team to focus on other critical activities.
- Implementation within 3 weeks
- 100% accuracy rate in report generation
- Average handling time reduced from 60 minutes to 20 minutes
- 150 hours per year of expected productivity savings