Can you believe that Artificial Intelligence will rule the entire world within 10-20 years ! How far
do you think AI would replace human intelligence and gain possibilities in Revenue Cycle Management
?
What is Artificial Intelligence ?
Artificial Intelligence replaces human intelligence by stimulating the process with machines.
Virtual assistance is the current AI process which is used instead of human intelligence.
Computer Science technology is used to imitate the human thought and action by analyzing data and
anticipating problems and swotting to a variety of tasks.
AI and Revenue Cycle Management :
Artificial Intelligence is already considered as the overriding factor in clinical and
administrative functions of healthcare.
While many disagree, AI suits to encounter the major challenges in RCM and can be accomplished right
away.
Any healthcare interested in AI will look for the simplest and highest profits.
As RCM involves in a systematic process, it’s perfect to implement AI and improve processes to yield
high results.
The root cause for denials are found to be human errors while managing large amounts of
transactions.
AI can make way to reduce the possibilities for denials and enhance payment positions.
It can identify the reasons for denials and recommend corrections in the missing fields and
authorization issues.
AI prospers to reduce denials and drive down receivables and increase reimbursements.
Advantages of AI in RCM:
Revenue Cycle Management is stepping towards AI to provide intelligent solutions and automating
manual jobs using complex algorithms.
It can optimize RCM by reducing errors in claims and helps in revenue growth.
RCM company collects lot of information everyday from patient registration to medical billing,
there’s a chance for missing or losing the information while entered manually.
AI challenges the manual techniques and improves and speeds up the procedure with accurate results.
Artificial intelligence automation will be 24/7 available according to the work comfort and
procedure.
It enables quicker and efficient process to increase productivity.
Specifications:
Cost Reduction:
Revenue Cycle Management includes more labour. The data or the information of the patients has to be
entered manually. It’s necessary to enter accurate codes and perform quality check.
As a result operating costs go high as patient strength increases and it compels huge workforce to
manage Revenue Cycle.
With the help of AI, it’s efficient and effective to manage and reduce the operating expenses.
Perfection:
Error free result is possible when machines perform tiresome tasks.
To perform and gain better revenue payments, human intelligence needs to pay attention and focus
thoroughly.
When the work becomes routine, it’s possible to make errors which can bring loss for the company.
By implementing AI, it’s possible to auto-correct errors and improve the productivity.
It also brings perfection in the work and sets all right to proceed further.
Identifying Changes:
The medical billing and coding frequently updates changes in RCM.
Identifying changes and updates are important which otherwise would lead to denials or delay
payments.
AI helps to have automatic updates and changes that can avoid errors which eventually saves the
company from huge loss.
It keeps the workforce informed about common mistakes in denials and optimize account receivables.
Disadvantages of AI:
Unemployment
Expensive to develop
Limited abilities
Incapable to explain intelligence.
Unemployment:
One of the major disadvantages is loss of employment. When AI comes into force, manual workforce is
forced to go jobless.
Even though AI replaces human intelligence, it can drive down people’s and country’s economy to a
very low level.
As there’s no place for human intelligence after implementing AI, the company mostly demands profits
by focusing more on automation.
Expensive to develop:
The cost of developing or implementing AI is way too expensive.
It has already cost billions of dollars for government and private sectors in it’s development so
far.
Limited Abilities:
The tasks handled by AI is considered to be intelligent which infact is limited only for certain
works.
They don’t stand a chance while compared to human intelligence. They can’t be modified to human
standards.
They might be very efficient in handling most intelligent tasks but they also lose their ability to
compete with human intelligence. Hence they are limited.
Incapable of explaining Intelligent things:
AI is not supported with most intellectual capabilities that results to be only limited to machines.
It cannot explain or elaborate the tasks it carried out.
As a matter of fact, the automation systems those perform tasks using AI can be glorified compared
to other machines.
Future Real-World Opportunities in RCM:
One of the most effective application for AI powered tools is in the field of RCM. AI maximizes the
work flow in RCM system with one of the most important requirements, understanding the core
challenges.
Claim denials are being treated as manual process because electronic claims are also noticed as high
risk for rejection. A list of high risk claims are to be identified and problem that route each
claim will be spotted through AI.
Technology that strongly holds RPA and cognitive automation can route the claims intelligently to
the appropriate end user.
It also amplifies to triage and disposition the action completely avoiding human interference.
By accelerating work flow, AI also reduces human errors by standardizing the routing process.
Workforce can be encouraged to perform tasks those require a higher degree of problem solving
skills.
RPA and Cognitive technologies enable robots to process the tasks and optimize them continuously.
This technology allows RCM companies to manage even if they are fluctuating and aren’t totally
automatic.
Additionally, advanced visualization tools enable the power to monitor the performance of robotic
intelligence which handles multiple tasks at a stretch and optimizes RCM work flow as required.
AI intelligence focus on unlocking revenue streams those have potential to enhance a company’s
bottom-line.
For an organization or a company which has strong data and modern technology and infrastructure, the
effort spent is worth the time.
If AI is not implemented effectively and appropriately, the RCM company may not enjoy their
benefits. It should focus in the technologies with demonstrated business cases based on AI.
Therefore,RCM companies need to acknowledge their challenges and limitations by determining ways to
optimize technology and unlock potential avenues for improvement through AI (Artificial
Intelligence).