Hyperautomation in Healthcare
Hyperautomation can significantly address inefficiencies in healthcare systems. Hyperautomation can be achieved in almost every aspect of healthcare operations, including customer service, patient data management, patient-HCP (Healthcare Provider) interaction, and claims processing. NuMantra’s hyper-automation solution combines Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML), Process Mining, and Data Analytics to help healthcare service providers deliver value-based services.
What is Hyperautomation in Healthcare?
The healthcare industry is advancing with wearable sensors, electronic health records, digital patient engagement, etc., generating vast amounts of big data daily. Healthcare industries leverage hyperautomation to improve patient outcomes and the quality of drugs, develop personalized therapy for patients, and ensure regulatory compliance.
The healthcare sector can benefit from hyperautomation solutions as it helps them harness the power of Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML), Process Mining, and Data Analytics. It addresses efficiencies across the business and improves healthcare services. NuMantra’s hyperautomation solutions can improve critical trial data handling, compliance, contact centers, back-office operations, efficiency, productivity, and agility in the healthcare sector.
Benefits for Insurance Companies
How NuMantra Helps
NuMantra partners with insurance companies to implement tailored hyperautomation solutions. We take a holistic approach, carefully analyzing your critical workflows to identify areas where automation can deliver the greatest impact.
Using advanced tools and technologies, we strategically scale automation across your operations, streamlining tasks that once consumed valuable time and resources.
Future of Hyperautomation in Healthcare
Adoption of IoMT
The global market for the Internet of Medical Things, or IoMT, is predicted to reach $187.60 billion in 2028. Moreover, IoMT is not a new norm in 2023; this sector will expand its horizon more in the coming years. The Internet of Medical Things is the architecture of software applications, wirelessly connected devices, systems, and other tech infrastructures that gather, analyze, process, and monitor data in real-time.
IoMT will see more advancement. It has the potential to improve and transform patient care. Moreover, The fusion of Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML), Process Mining, and Data Analytics will improve IoMT more and, at the same time, reduce costs and facilitate better and informed decisions.
Revolutionizing Robotic Surgery
Robotic surgery is revolutionizing healthcare automation. Modern surgical methods have evolved more with the use of robotics. Several robotic surgical technologies empower surgeons with more control, dexterity, and accuracy during complicated and long surgeries. However, these robotic surgical methods need more advancement, which can be easily achieved by implementing a hyperautomation approach.
Implementing hyperautomation’s integrated approach of Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML), Process Mining, and Data Analytics will revolutionize surgical practices and make them more accessible and faster. Moreover, hyperautomation will enhance image-guided treatments, 3D visualization of the operative site, and real-time data analysis. It will result in greater patient safety and surgical precision.
Improving Remote Patient Monitoring
Hyperautomation empowers new paths for remote patient care and monitoring, enabling healthcare service providers to track, analyze, and manage patients’ health conditions. It is also vital for critical care situations and inpatient monitoring. With hyperautomation, connected devices, mobile applications, and wearable sensors can give healthcare practitioners immediate access to real-time data.
Healthcare services may forecast deterioration, discover patterns, and provide preventive care by implementing Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML), Process Mining, and Data Analytics. Furthermore, hyperautomation can assist in effortless remote patient monitoring, enabling patients to be cared for in their homes.
Benefits of Hyperautomation Healthcare Industry
The healthcare sector is on the way to a technological revolution, and automation can bring core advantages to it. Hyperautomation has the vast potential to assist healthcare service providers in different ways. The benefits are many, and some of them include better patient care, remote observations, data transparency, etc. Let’s discuss some of the benefits.
Process of Hyperautomation in Healthcare Industry
There are several steps involved in implementing hyperautomation in the healthcare industry. All these steps are required to make the automation task successful and beneficial for operations in the healthcare industry.
How Hyperautomation Works in the Healthcare Industry?
The healthcare sector is ideal for implementing Hyperautomation to design, customize, and automate healthcare solutions. Including Hyperautomation in the operations involves several factors. Let’s check.
Use Cases of NuMantra’s Hyperautomation in the Healthcare Industry
- Streamlining Administrative Tasks: NuMantra’s RPA in healthcare automates repetitive administrative tasks like data entry, appointment scheduling and claim processing, thereby reducing manual workload and significantly improving operational efficiency.
- Enhancing Data Accuracy: NuMantra guarantees the accuracy and reliability of data entry and processing through RPA, reducing errors in patients’ records, billing information or other essential healthcare details to ensure high standards of medical care.
- Improving Billing and Claims Processing: RPA speeds up billing and claims processing by automating the validation, coding, and submission processes. This results in quicker reimbursement cycles and fewer billing mistakes.
- Increasing Operational Efficiency: By automating routine tasks through RPA, NuMantra allows healthcare professionals to concentrate on more sophisticated and patient-centric activities, thus enhancing overall efficiency in the healthcare organization.
- Interfacing with Existing Systems: NuMantra’s RPA can easily be integrated with existing healthcare systems such as Electronic Health Records (EHR) and other information systems, allowing for compatibility without workflow interruption.
- Enhancing Patient Experience: The RPA systems facilitate a seamless patient experience by automating appointment reminders, prescription refills, and other communication processes, which translates to increased engagement and satisfaction.
- Ensuring Regulatory Compliance: NuMantra’s hyperautomation system guarantees that processes involving patient records, billings, and other sensitive data align with healthcare regulations and standards, protecting patients’ privacy and trust.
- Enhanced Operational Efficiency: NuMantra’s process mining reveals inefficiencies in healthcare workflows and allows for targeted improvements that increase the efficiency of workflow as well as empower employees.
- Workload Reduction: NuMantra’s process mining enables healthcare professionals to identify automation opportunities, which helps reduce their workload to focus on patient care and other essential tasks, leading to the quality of health services.
- Improved Patient Safety: Using process mining, NuMantra’s detailed analysis of patient safety helps identify areas that need improvement, reducing medical errors and adverse events, thus ensuring a safer environment for healthcare.
- Elevated Quality of Patient Care: Process mining helps healthcare staff improve the quality of care by optimizing health procedures, eventually leading to better patient outcomes.
- Informed Decision-Making: NuMantra’s process mining offers healthcare workers data-driven insights into their workflows, enabling them to make more informed decisions and take preventive action.
- Increased Productivity: NuMantra’s effort to automate repetitive and time-consuming tasks boosts productivity among healthcare professionals. This also allows them to focus on more critical areas of their work, enhancing patient care quality.
- Disease Prediction and Prevention: NuMantra uses AI and ML algorithms to analyze large datasets, discovering patterns that help predict diseases early on. This approach is crucial to preventing diseases and enhancing overall public health.
- Personalized Treatment Plans: By analyzing patient data, genetic information, and treatment outcomes, NuMantra’s AI/ML technology provides personalized treatment plans. This strategy substantially improves the efficacy of therapies with minimal side effects, signaling a new era in personalized healthcare.
- Diagnostic Accuracy: AI-based diagnostic tools help physicians interpret medical images like X-rays and MRIs to increase the accuracy of diagnosis procedures, thereby helping in faster identification of diseases.
- Drug Discovery and Development: AI and ML algorithms help speed up drug discovery by predicting potential drug candidates and optimizing clinical trial designs based on biological data analysis.
- Remote Patient Monitoring: Remote monitoring devices and wearables designed by NuMantra with AI capabilities continuously collect patient data. This real-time monitoring allows healthcare providers to monitor patient health, identify abnormalities early, and intervene on time.
- Natural Language Processing (NLP) for Documentation: NuMantra uses natural language processing to help convert unstructured medical data—physician notes and patient records into structured, actionable information.
- Operational Efficiency and Resource Optimization: AI/ ML applications improve the efficiency of hospital operations by foreseeing patient admission rates, automating human resource management, and facilitating effective utilization of resources.
- Physician-Led Data Insights: NuMantra’s BI and analytics approach involves healthcare professionals’ active role in analyzing patient data. This co-production process enables the physicians to obtain valuable insights, make informed decisions and tailor treatment plans.
- Accelerated Drug Discovery: NuMantra’s hyperautomation tools for large datasets help identify potential drug candidates, predict their efficacy, and optimize clinical trial designs, thereby reducing the time required to develop a new medicine.
- Advanced Data Sharing: NuMantra encourages improved data-sharing practices that promote collaboration between care providers, researchers and institutions. The datasets enable healthcare professionals to understand patient health, resulting in improved healthcare service.
- Embedded Data in Care Plans: The embedded data in care plans enables more proactive and tailored care, enabling physicians to modify treatment plans according to current patient data and evolving health conditions.
- Data Storytelling in Research: Data storytelling facilitates the communication of data-driven insights to various stakeholders in healthcare research, promoting greater understanding, participation and support for such initiatives.
- Financial Analytics: NuMantra helps healthcare institutions manage their finances through BI by monitoring the revenue cycles, billing processes and cost analysis. It helps healthcare experts minimize costs and ensure financial sustainability.
Case Studies of Hyperautomation in Healthcare
Examples of Hyperautomation in Healthcare
Data Privacy
Medical records always contain susceptible and private data of patient’s information. Also, there are several regulations to maintain while keeping patients’ data. Here, hyperautomation assists in maintaining the data privacy of patients and healthcare professionals. So, healthcare experts should invest in its implementation.
Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML), Process Mining, and Data Analytics reduce the risks of data breaches
Process Understanding & Optimization
Healthcare industries may lack proper documentation. Process mining tools assist in understanding how actual processes are carried out and identifies any bottlenecks that prevent optimization. Once eliminated, technologies like RPA, AI, and ML can improve the journey of automation by making the required changes wherever required.
Enhanced Quality Control
Implementing RPA, AI, Data Analytics, and Process Mining can assist in reducing the workloads, automating the processes, and ensuring consistent quality. AI-powered systems can bring required changes in communication processes and operations in the healthcare industry.
