Medical providers should be able to concentrate on one objective over all others: exceptional patient outcomes. Automation within the healthcare domain can facilitate the accomplishment of this focus. For a moment, visualize all of the assets and resources you allocate to admin activities: record-maintenance, insurance authorizations, medical coding, billing, and even just transferring information from one device to another. All of these activities included in these processes can completely or partially automated, or, better yet, combined together, in end-to-end, human-bot process collaborations we refer to as hyperautomation. 

Just like any revolutionary improvement to fundamental business processes, the first phase towards hyperautomation is accomplishing buy-in from the various stakeholders. This blog post by AICoreSpot will cover a few of the most powerful capacities of digital automation within the medical domain.  

Automation in medicine: 5-Real World Use Cases 

• Automated scheduling and management of appointments 

In the absence of automation, scheduling employees must navigate several software systems, physician schedules, and insurance portals – mean while patients wait in queues. Hyperautomation streamlines the processes while considerably minimizing information errors along the way. It even restricts reliance on human employees through integrated chat- and voice- driven artificial intelligence assistants. 

An example: 

An eyecare group leverage the Nvidious hyperautomation platform in the pursuit of automating patient schedules and associated data management activities with Robotic Process Automation (RPA). Chatbots, bots, voicebots, and Business Process Management (BPM). The outcome? Robots scheduled >50% of new patient appointments. This automation enabled the healthcare organization to provide improved client experiences while minimizing the schedule burden of call center employees.

• Automated insurance pre-authorization 

Insurance pre-authorization is a labor-heavy procedure, conventionally needing knowledgeable staff who know the many disparate insurance portals. Trained RPA bots with Artificial Intelligence (AI) capabilities like Computer Vision (CV) and Optical Character Recognition (OCR) can carry out pre-authorization through any insurance portal, in an instantaneous way.  This provides free time for employees to focus on client servicing.  

An example:   

An optometry enterprise leveraged Nividous smart bots to navigate the portal of more than 40 insurance providers, eradicating manual processes to enhance speed and accuracy, simultaneously.  

• Automated medical coding  

Medical coding is the perfect use case for hyperautomation, AI is just better at keeping up pace with the persistent alterations to the 70,000 codes included in the process, than even a highly-skilled, highly trained human staff member. Eradicate errors and go about optimizing employee utilization with hyperautomation, which includes AI tech such as NLP, which can gather precise coding data directly from practitioner notes, voice recordings, and EMR systems. 

Example: 

A leading wound-care group leveraged RPA bots with machine learning capacities in automation of patient wound documentation, producing precise billing codes and invoices with no demands placed on employees. Coding precision attained near-perfection while TATs winded up being 85% quicker.  

• Automated Insurance claims processing 

Medical providers file a humongous amount of medical claims annually in the U.S. alone. Robotic process automation handles the rule-based and transactional activities that makes up claim processing quickly and with total precision, while carrying out the application of hyperautomoation for end-to-end processes can manage any medical facility’s claims backlog – enabling employees to focus on more patient-related activities. 

An example: 

One industry leading specialty healthcare enterprise leveraged the Nvidious intelligent automation platform to completely automate claims process, from patient information extraction and review to submitting of the data. This minimized manual work by 8/10ths and slashed operational expenditure by half. 

• Automated revenue cycle management 

 Revenue cycle management is vital to success, but it consists of several data-intensive, time-heavy processes – particularly for providers with several locations. End-to-end digital automation can bring together considerably differing tasks – such as claims submissions, data migration, accounting, and even managing price alterations – into a streamlined process orchestrated by an AI-driven BPM system. With human employees and RPA robots organized through the Nividous platform, this previously expensive and error-susceptible process can be considerably precise and cost-effective. 

An example: 

A healthcare group with >120 locations leveraged the standardized Nividous platform in automating everything from claims eligibility to onboarding of brand new stores to netbanking.

The boundless scope of automation in the field of healthcare 

Presently, healthcare providers are just not leverage automation to optimize expenditure, and enhance operational efficiencies, they wish to move the focus from monotonous data-handling activities to actual innovation. Their very skilled staff at last have the freedom to allot their time to enhancing patient outcomes – and experiences.