Robotic Process Automation in Corydon
The team has done a stupendous job in clearing the backlog of work from the other vendor in such a short time. Thanks, team, for your dedication by working through days and nights and weekends to have this accomplished.
VP services
from CaliforniaWow that’s an amazing performance, you have collected 40% from the claims that was sitting unpaid for more than 180 days in less than 4 months. This is truly great performance team. Love your commitment, speed, and technology.
Pediatrician Physician
from Atlanta
IPA integrates Robotic Process Automation (RPA) software with Artificial Intelligence (AI) technologies such as
Process mining - is an analytical approach that uses data analysis to capture and improve business processes after diagnosing them.
- Natural language processing (NLP): This is software that allows hardware to understand, interpret, and manipulate language, whether spoken or written.
- Computer vision: This term refers to technology tools that scan documents and convert them to text, such as OCR (optical character recognition).
- Machine learning is a process that employs AI software algorithms to discover patterns in structured, historical data and then applies those patterns to make precise predictions about outcomes.
- Artificial intelligence— A technology that aims to mimic, if not outperform, human intelligence by analyzing data faster than humans and learning from previous decisions.
What is the distinction between IPA and RPA?
RPA, or robotic process automation, replaces manual tasks with automated workflows by using bots, or software robots. IPA takes it a step further by incorporating advanced cognitive technologies, such as AI, to automate business processes across the entire enterprise.
Human and robot orchestration
Rather than simply deploying technologies like RPA in silos and relying on them to complete individual tasks, intelligent process automation can aid in the coordination of work between robots, humans, and systems. Robotics is great, but unless they are integrated with an IPA platform, you will end up with isolated solutions rather than enterprise-wide solutions.
Employees are liberated from routine tasks.
RPA can free employees from labor-intensive tasks and put them to work in more efficient areas. You can be confident that the correct decision is being made by combining DPA and AI because it is planned out in the workflow, with AI assisting in making informed decisions along the way.
Ensure proper governance and risk minimization
You can reduce the risk of errors, such as incorrect data entry, by automating end-to-end processes. RPA handles this by automating tasks, but if it breaks or deviates from the organizational standard, IPA gives you peace of mind that your processes are being completed consistently.
End-to-end visibility of processes and the customer journey
When individual automation technologies are deployed, it can be hard to see the enterprise-wide result. Using IPA, you can see the entire process, allowing you to identify bottlenecks or points at which the customer journey could be smoother.
Process agility and change speed
IPA not only speeds up end-to-end processing, but it also makes it simple to make agile changes to processes and the technologies that support them. This enables businesses to continuously improve their business processes.
We automate most of the healthcare processes use case with our IPA Solutions
Charge entry >Scheduling >ERA >Manual posting >Prior Auth
PLEASE CONTACT US FOR
- IPA Platform Evaluation
- Process Definitions
- BOTS Design
- BOTS Development
- BOTS Performance Optimization
- BOTS Deployment in cloud
- Support and Maintenance of BOT