A version of this Blog was first published on the T-Hub.
Almost every aspect of the healthcare industry involves heavy paperwork and complicated administration. Each step in the healthcare industry requires collecting data and paperwork, whether it is registering a new patient, obtaining an emergency admission, documenting patient history, or filing an insurance claim.
It is often time-consuming and prone to human error for healthcare professionals to manage all of these complexities and extensive services manually. Consequently, work efficiency and performance are reduced.
Customer demands and labor requirements have increased in the healthcare industry since the pandemic. The role of human experts in healthcare is crucial, but healthcare professionals must also embrace end-to-end automation. Using Hyperautomation technology, healthcare providers can increase operational speed and enhance digital transformation by unifying a variety of technologies, tools, platforms, and processes.
Healthcare ecosystems can benefit significantly from hyperautomation by providing quality and affordable patient care.
Robotic Process Automation or RPA refers to the use of specifically designed software ‘robots’ in order to standardize and automate recurring business operations. However, RPA has a direct line of performance without any variations or improvisation. RPA works more like a virtual assistant to offload repetitive manual tasks without making employees redundant.
Artificial Intelligence or AI is a digital stimulation of human intelligence performed by complex computer systems or ‘machines’. AI includes complex processes like learning, reasoning, and self-correction. While RPA is considered as automation working in conjunction with people, artificial intelligence emerges as a form of technology to replace manual labor and bring in end-to-end automation. With unstructured inputs, AI has the capability to derive and develop a completely different logic on its own. Common AI operations and applications include machine vision, image recognition, chatbots, speech recognition, sentiment analysis, and natural language processing.
The concept of hyperautomation refers to the automation of business tasks and processes that are usually carried out by humans, using technologies such as artificial intelligence, machine learning, and robotic process automation (RPA). Essentially, it involves automating every process (within reason) to achieve streamlined operations in your business.
Hyperautomation initiatives focus on curating a unified approach to a holistic automation structure depending on various aspects across multiple departments. Hyperautomation uses multiple automation tools to achieve a custom streamlined automation process to fulfill the needs of different functions.
In a large-scale endeavor like healthcare, hyperautomation demands structured planning and deliberation along with the potential to enervate the ROI across the organization.
A nuanced hyperautomation strategy involves the following steps:
Step 1: Identify existing automation to identify cost savings. Hyperautomation can be used throughout the company to extend workflows using RPA or other technologies.
Step 2: Procure relevant information on the existing healthcare operations that have the potential to be automated. For example, patient registration, payments, and automated online assistant chatbots. Potential operations can be improved and be more effective through automation.
Step 3: Data collection and analysis allow the institution to create a customized automation package to deliver the required needs.
Step 4: Identify the required automation tools for successful implementation to predict determined outcomes. The outcome prediction process involves setting inputs for automation, noticing any handoffs or manual interventions, and predicting the results of those processes, as well as considering bigger questions like efficiency improvement and ROI.
Step 5: Implement automation in required areas of healthcare. In order to achieve consistent benchmarks, AI tools can be used iteratively with human guidance.
The fundamentals of hyperautomation in healthcare include:
With a carefully structured combination of the aforementioned technologies for an end-to-end automation, hyperautomation can be implemented in the healthcare industry in the following areas.
Hyperautomation, according to Gartner, refers to the use of advanced technologies, such as artificial intelligence and machine learning, in order to augment humans and automate processes.
A new study predicts most organizations will be able to lower their operational costs by 30% by 2024 through the implementation of hyperautomation along with redesigned operational processes.
As a result, Hyperautomation emphasizes numerous advantages, including:
It's not unexpected that Hyperautomation will soon be a common technology in many industries given the current state of digital transformation. The future of automation in the healthcare industry is hyperautomation. Along with accelerating administrative tasks, it aids the healthcare industry in providing improved clinical outcomes and patient care. As a result of the expanding tendency, hyperautomation is no longer restricted to a particular industry but instead concentrates on giving HCPs new options to provide high-quality service through intricate operational enhancements.
JK Tech has established itself as a market leader in providing complete automation services. Based on our considerable experience adapting and operationalizing automation, we guarantee a faultless hyperautomation strategy and solution. Increase the competitiveness of your healthcare brand with customized hyperautomation services!