August 1, 2022 By: Tanuj Singh
Over the years, the Healthcare industry has advanced by leaps and bounds, thanks to technologies like Remote Patient Monitoring (RPM), Digital Therapeutics, Artificial Intelligence, and Machine Learning, to name a few. These disruptive technologies have fast-tracked the healthcare industry’s growth through automation.
Integrating advanced technologies in the Healthcare infrastructure allows HCPs to maintain and improve their workflows, provide patients with better treatment plans, and increase RCM efficiency. The modern Healthcare industry is gradually approaching a state of hyper-automation by adopting more sophisticated and interactive AI and ML-based technologies. Thus, HCPs can evaluate patient data systematically and embrace data-driven decision-making.
The Transition from Automation to Hyperautomation: The Need of the Hour
Automation has transformed the Healthcare industry using Robotic Process Automation (RPA) systems and automated database systems that allow executives to extract and navigate patient data as needed. Assisted hotlines for staff support have eased the work for executives by preventing direct contact for consultation during the pandemic. EHRs (Electronic Health Records) have made keeping track of patient data more suitable and accessible in recent times.
Medical facilities have started leveraging Hyperautomation services and platforms by upgrading from using semi-automatic staff-operated software systems. Artificial Intelligence and Machine Learning make up for the gaps in traditional automation by using AI-induced database systems, eliminating the waiting-in-line period for people to access information. Further, intelligent or cognitive automation can successfully augment human actions and create fully AI-operated hotlines for hassle-free communication between patients and HCPs.
As of recent progressions, a study report by Rapid suggests that, with the ongoing utilization of RPA systems, the healthcare industry is projected to spend approximately $600 million in the next 4 years, to improve the approach toward AI usage and application to fit the growing standards of the modern world.
Why Should HCPs Use Hyperautomation?
Hyperautomation shows excellent potential in improving Healthcare and optimizing healthcare solutions to individual needs. Hyperautomation in Healthcare assures improved accuracy and a minimal failure rate.
Although a costly and relatively new venture, global research specialist Gartner predicts that in the next few years, 50% of the US medical facilities and healthcare conglomerates will invest in RPA systems and hyper-automation.
Hyperautomation benefits the medical world and promotes:
- Team Collaboration: The induction of Hyperautomation in various fields maximizes central data processing by logical integration of data and increasing transparency through Healthcare organizations’ administrative boards, enhancing business management procedures. This improves communication between team members and administrative heads.Hyperautomation also improves decision-making capabilities when numerous parameters must be considered by making quick predictions after analyzing past data and history through ML and Cognitive Intelligence. This allows HCPs to invest in the right areas, minimizing financial loss due to the generally high-cost structures of state-of-the-art medical facilities.
- Improves Productivity: Healthcare facilities using AI facilities and RPA models extensively witness increased productivity. Using deep learning-powered 3D reality systems during surgeries and diagnostics helps doctors get a better idea of patient conditions without endangering critical and vital physical processes.A study conducted in 2021, by Celbridge Sciences shows that almost 5.2 million medical errors occur every year. AI-based RPA systems are often assigned via applications that notify users and keep them updated about their healthcare schedules.
- Better Employee Engagement: AI modular systems increase communication transparency between employees and enhance individual productivity through easy access to digital facilities. ML-based Hyperautomation services facilitate easy and accurate diagnosis. It also reduces labor costs and gives the employees time to energize and recollect themselves between shifts.
- Boosts Data Accessibility: RPA and algorithm-based database systems provide data upon request and are developed to induce convenience among users, staff, or patients. They are integrated with machine learning algorithms that can recognize data categories and input and sort them accordingly for easy access.
How Can Hyperautomation Enhance Healthcare Quality and Compliance?
HCPs are using Hyperautomation technology in more than one way across departments. Healthcare automation solutions make working with multiple patients considerably more manageable and efficient.
- Chatbots and Virtual Assistants: Chatbots are the modern replacement for human service agents. They are essentially virtual assistants found on healthcare portals responding to common requests for help. Generally, chatbots are simply programmed with natural language progression (NLP), which collects user data and conveys it to the inquirer.Chatbots are RPA systems coded with AI interfaces that augment human support through extensive machine learning and with some pre-integrated common questions and answers. With extensive data structure building, chatbots can answer patient or customer questions just as a human agent would. This allows HCPs to cater to a large number of customer requests in a short span.These intelligent assistants can address each user as either a new or a familiar inquirer and can work well with patients, insurers, and vendors.
- Voice Biometric Technology: Biometric voice authentication is an excellent security measure for HCPs. It recognizes the user’s voice and matches it with recorded voices in the security database to grant access. The same technology is integrated with AI functionalities to authenticate patient identities with the data they’ve provided in their registration portals, using heavily complex algorithms.Thus, it prevents the impersonation of patients in any situation or form of interaction. This reduces staff work to ensure patient privacy and security in hospital databases.
- Big Data and Analytics: AI systems are designed to recognize patterns and combinations of different factors. In healthcare, this added advantage makes predicting and diagnosing diseases quicker and more accurate.By recognizing symptoms and ailments and analyzing them thoroughly through simulations, AI systems can identify the disease or predict future possibilities of diseases accurately.Hyperautomation platforms are integrated with intelligent cognitive systems that can suggest treatments for mild complications. Patients can use AI applications or smart wearables that can monitor their vitals and promptly notify them in case of medical emergencies.
Hyperautomation in Healthcare: What the Future Holds
Stats show multiple instances of Hyperautomation inductions. A survey conducted in 2020 reported the integration of AI automation technologies in various healthcare facilities and organizations, which was 53% more than the same in 2019. More than 66% of HCPs were familiarized with RPA systems, which was also 50% more than in 2019.
Hyperautomation technology helps create more aligned healthcare workflows and helps HCPs keep their profit margins high through RCM automation. This is true of many other industries like IT, retail, e-commerce, insurance, and manufacturing. It promotes comprehensive, data-driven business strategies and powers innovation through AI and ML.
In developing and implementing Hyperautomation technologies, JK Tech is a leading platform built with more than 200 connectors for integration and claims ML models, iBPMS, and Data Management to support workers’ compensation claims with enterprise-grade security and scalability. Our strategy aims to maximize automation and transformation via a coordinated combination of multiple automation tools.