Studies have revealed that the healthcare industry spends a whopping $2.1 billion every year to automate all error-prone and poorly performed manual tasks around data management alone! So, undoubtedly, automation and RPA has unimaginable scope in the healthcare industry, considering the possibility of automating not just data management but other key functionalities as well.
From patient management to claims settlement and billing – all aspects of the healthcare industry can be effectively managed with the touch of automation. Every manual process suffers from errors, unmanageable silos, inefficient functioning, and inaccurate data management.
The entire healthcare industry is swiftly moving towards automated interactions and data management, powered by RPA, so the players who fail to keep up with these industry trends will eventually face financial downfall. So to uphold the customer loyalty, enrich customer experience, and enhance competitive advantage – RPA and automation adoption is the key force.
RPA can reduce inefficiency by automating complex actions based on research, data, and judgment. RPA offer a seamless execution of complex front office tasks such as:
Pain Care Physicians Enhances Patient
Experience with Automation
Pain Care Physicians was struggling to update patient’s records manually to Updox from paper-based documents received through Fax and send document to EHR.
With the help of AutomationEdge RPA and OCR capabilities, Pain Care Physicians has automated the manual process to reduce patient’s wait time with 75% reduction in manual efforts and 95% process accuracy.
The healthcare giants are facing overwhelming demand, so to manage the huge amount of associated data effectively is troublesome. The major challenges faced by the healthcare industry are:
Poor data integrity and lack of effective management systems
Lacking coordination between the advanced tools
Data privacy and security concerns
Existing silos with poor collaboration
The Impact of RPA in the Healthcare Industry
Patient appointment scheduling
The hospitals are flushed with last-minute appointments, and managing the limited slots is difficult and consuming.
Speeding up account settlements
Invoice and claim settlements tickets are quickly resolved with automated systems and bots.
Implementing discharge instructions
The entire process of prescribing discharge instructions can be automated for a prompt response.
Recording audit procedures
Regular audit procedures play a vital role to assure the quality delivered by the healthcare giant. Automation allows the giants to record all the audit procedures for reference and quality purposes.
Managing healthcare workflows
With the implementation of RPA, healthcare giants can manage their workflows in a more seamless and timely manner. Automation eradicates all human intervention to wipe out all chances of errors.
AutomationEdge for Skedulo
and EHR Systems
Benefits of Leveraging RPA in the Healthcare Industry
Effective patients’ scheduling and appointment setting
AutomationEdge software bots can streamline online patient scheduling and appointment setting processes, along with the robust referral management mechanism.
Improvement of the patient’s care cycle
Our RPA solutions boost the data analytics and management processes to enable real-time data monitoring for accurate diagnosis, with better-tailored treatment strategies.
Manages revenue and billing
Revenue cycles and billing criteria include massive code changes which are burdensome for the healthcare systems. RPA seamlessly adapts to these dynamic requirements to establish overall coherence to simplify the billing and revenue management. In fact, RPA eradicates all the hiccups associated with healthcare claim management for quicker resolution and enhanced customer satisfaction.
Improved productivity with lower cost
Telcos receive reports in different formats from disparate systems. RPA can integrate with different systems to analyze data and provide a report in minutes instead of hours when done manually. This improves accuracy and helps in faster decision making with the latest possible data.