Healthcare organizations generate vast amounts of data every year. As a result, clinicians have to manually type notes about a patient’s condition, past medical history and prescription drug usage into the patient’s electronic health record (EHR).
Robotic Process Automation (RPA), on the other hand, could streamline processes and take over some of the mundane tasks that the staff now performs.
RPA robots could be programmed to extract healthcare information and translate it into a narrative using Natural Language Creation (NLC). RPA robots, or data-bots, are hard-coded computer actions designed to perform repetitive tasks. As a result, the hospital staff can record the tasks performed by these bots, generating valuable data.
ROI can go Beyond the Obvious!
Healthcare organizations have started incorporating RPA into their workflows, but adoption is not yet widespread. Medical staff continues to spend hours on highly repetitive, manual tasks. RPA, on the other hand, can dramatically improve the efficiency of tasks by putting them into the virtual hands of data-bots. This results in a return on investment (ROI); reduced labour costs and improved productivity.
With automation tools, ROI can go beyond the obvious. When organizations implement Robotic Process Automation, they typically redesign their healthcare practices around the new technology, making the entire process more efficient.
RPA could lead to a more Competitive Workforce!
Many healthcare organizations use electronic health records (EHR) systems to manage clinical workflow and medical record documentation. These systems integrate massive amounts of data useful for assuring patient care quality, and risk mitigation. Implementing automation tools such as RPA can help healthcare facilities collect data and translate it into a meaningful format.
With RPA, organizations can focus on making strategic analysis, rather than spending thousands of hours on obtaining data.
What can be Automated?
Regulatory oversight and quality metrics governs healthcare organizations. Determining whether the goals have been met depends largely on functional analysis of patient care data.
For instance, consider a hospital that serves Medicare beneficiaries and processes thousands of claims daily. The medical staff is often tasked with ensuring accurate billing and identify potential billing risk flags from among the millions of claims. RPA can take over some of these repetitive tasks.
Automation tools can be used to pull and collect data from multiple sources, thereby eliminating time-consuming processes of collecting, assembling, and summarizing large amounts of information.
In a Nutshell
Combining RPA with Artificial Intelligence (AI) can help healthcare organizations to develop intelligent analyses from tremendous amounts of data. Moreover, it acts as a remarkable opportunity for healthcare facilities that are willing to embrace the technology.