AI in healthcare has taken a massive leap in delivering the best results in daily workflow
management and providing the desired superior patient outcomes. While artificial intelligence and
machine learning tools provided precise results for healthcare procedures for providers, in recent
times, they are making a mark in the regular operations workflow and healthcare management teams. AI
in healthcare management has proven its worth in boosting efficiency and integrating the chief
components of revenue cycle management teams. With the correct application of the tools, healthcare
management can now quickly improve the business practices by keeping customer success teams, sales
and marketing teams, and front-end billing teams on the same page.
In the last couple of years, AI in healthcare has seen a significant boost in its operations, with
more than 50% of the healthcare enterprise organizations adapting more than four automation
initiatives. With the remote working scenario and hospital staff shortage on the rise, it is crucial
to monitor the key trends in AI in healthcare to make well-informed decisions. Learn how automation
is changing the healthcare ecosystem and what the trends are looking like for 2022.
CIOs ramping up Automation Measures
The report published in collaboration with UiPath and Becker’s Hospital Review shows that around 15%
of the enterprise healthcare systems adapted to 10 or more automation tools in 2021.
Further investigation and communication with the Chief Information Officers at the healthcare
companies show that after adapting the new technologies into the workflow of the executive teams,
they are looking forward to ramping up the same into the organization’s C-suite.
The organizations are also taking proper measures to improve the quality of the outcome after
investing in AI in healthcare. The
existing automation systems were more focused on improving the efficiencies in the organization.
Now, the CIOs want to ramp up these measures to
improve the revenue cycle management.
The other important point in the survey was that the organizations already had adopted several
automation workflows in the past in separate domains. Currently, the management is looking forward
to integrating the independent islands of automation systems into a single platform.
The strategy for 2022 is looking for these automation tools with enterprise-level functions coupled
with a high level of governance and security. It is also an excellent opportunity for the
organization to look into skill-building and staff training exercises to best use the new tools.
The Chief Information Officers of the healthcare organizations will be the front-liners leading the
way forward in this process in 2022. The leading CIOs all over the American healthcare industry are
looking for solutions that will drive revenue, agility, and efficiency into the organization in a
centralized and secured manner.
RPA is the Frontrunner
Robotic Process Automation continues to be the top choice for healthcare organizations to drive more
value to their digital transformation journey. Surveys show that close to 80% of healthcare
organizations choose RPA tools as their primary automation platform.
Most CIOs are trying to zero in on a central platform to work around different facets of automated
workflows. RPA has been the top choice for most organizations in this aspect.
Reports from Gartner show that Robotic Process Automation has been the fastest-growing enterprise
software since 2019. The revenue for the RPA industry has grown by around 39% between 2019 and 2020.
The major factors driving the demand for RPA in the healthcare industry have been no-code or low
code build environments, great support for scalability, integration advantage, and enterprise-grade
governance.
As more healthcare organizations are looking forward to integrating the various tools of AI in
healthcare, RPA provides the best support for their continuous growth. The automation strategy for
these organizations is primarily focused on building around this core platform.
However, experts believe that the needs of each organization are unique, and the CIOs need to weigh
in all their resources at hand before committing to a single-core platform. Whether or not you want
to invest in a stable RPA process depends on the current automation processes in your organization
and the goals that you want to achieve.
Task-based Workflows
The goal of deploying AI in healthcare is to ramp up the efficiency of the management workflow and
bring out the best outcomes for both the providers and the patients. To achieve this goal, domain
experts are now focusing on building resources to bring each team to a single platform.
For example, the different teams of revenue cycle management work in separate applications. The
providers manage their diagnosis notes and store them in the EHR systems. The coders access those
EHRs and assign the necessary codes. The biller finally checks out the entire service and prepares
the claim for reimbursement.
The goal of each team is to ensure that the insurance company receives a clean claim for maximum
reimbursement. Working in separate platforms for the same end goal makes the current workflow
inefficient.
This is the reason why healthcare IT platforms are trying to replace business application-based
workflows with task-based workflows for the teams. Using a single platform with tasks assigned to
fragmented teams will bring them on the same page.
The robotic automation will notify the specific employee about the tasks at hand along with the time
frame and deadline if any. The practice manager can log in to the system to track the applications
and stay updated.
The task-based workflows can thus improve the efficiency of the daily assigned works and reduce the
time consumed in a single stroke. Employees no longer need to tap into separate applications to
perform and update their tasks. The work process becomes streamlined for the management to track and
report.
AI in healthcare has several other trends that you need to look at before making a decision on your
digital transformation journey. However, if you do not want to invest directly in a repeatable,
proven work model for greater revenue generation, you can switch to outsourcing companies for the
same. The experienced revenue cycle management companies in the industry follow the automation
trends keenly so that they can apply the same for their clients. Get in touch with a trustworthy RCM
company to evaluate your choices.
We hope this article helped you understand the upcoming trends in AI in healthcare and how they can
affect your revenue and efficiency. In case of any queries, connect with us in the comment section
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