RPA robot can automate the patient data collection and processing workflows and select the optimal appointment time for the patient based on their diagnosis, doctor availability, location and protocols
RPA solution ensures that invoices are smoothly validated and approved with automated checks and minimizing or completely removing user intervention, to deliver high efficacy and efficiency.
Claim management includes several sub-processes: input, processing, evaluation, and appeal processing. RPA can significantly increase the processing speed and accuracy, reducing the turnaround time and cost to scale
Pre-authorization is required to assess the medical necessity and cost-of-care ramifications. RPA bot can expedite manual entry, verification, monitoring with almost zero error. Any error can lead to denial.
HR needs to do a lot of preparations for the integration of new members. RPA Automation shortens the HR checklist a lot and allows a software system to interact with each other. RPA can double-check HR compliance.
Revenue Cycle Management
RCM process is essential for a healthcare practice to maintain financial viability by improving cash cycle. RPA can be a efficient and effective tool that can streamline RCM processes while saving cost and time.
Insurance Status Check
Sourcing and integrating information from various internal and external sources is a daunting challenge for healthcare organizations. With RPA, it can be transformed into a smooth and easy process.
MACHINE LEARNING SOLUTIONS
We help you unleash the value of data and design a strategic roadmap to augment your business goals. With our Machine Learning solutions, enterprises can leverage the power of algorithmic decisioning
Generate holistic insights from newly launched drugs/products/brands to track performance and customer sentiments across CRM/social media/ native feedbacks. This can further be automated to produce relevant regulatory reports for compliance
AI assistants can act as a digital therapist. It can give patients real-time feedback and can provide recommendations based on past clinical records to the clinical team. It can help to stimulate social engagements and calendar scheduling.
Machine learning uses a data analysis model to analyse claims made by the customer. It also classifies correctly whether the requested claim is legitimate or fraudulent. This reflects in better claim management with reduced loss.
Send the right care to the right areas & at the right time using ML models. Prioritize staff based on past care unit history, expertise, calendar, additional variables. Balanced work schedules can reduce employee stress and boost productivity.