Empowering Healthcare with Artificial Intelligence

ROBOTIC PROCESS AUTOMATION

Robotic process automation(RPA) deploys a virtual workforce to emulate human actions. It helps to automate recurring and rule-based processes across the value chain of business. Healthcare providers carry out a spectrum of repetitive tasks from patient on-boarding to patient scheduling to claim management.  Automation of these auxiliary processes can give significant edge to healthcare providers.

RPA BENEFITS

40-50% cost saving

Improved accuracy

Lightning fast process speeds

Enhanced efficiency

Better Compliance

Minimize degree of errors

Improved Customer Experience

Fastest payback within 8-9 months

RPA USE CASES

REVENUE CYCLE MANAGEMENT
APPOINTMENT SCHEDULING
PRE AUTHORIZATION
CAREGIVER ON-BOARDING
CASH RECEIPT POSTING
INVOICE PROCESSING
PLEDGE/NON-PLEDGE DONATION
BILLING RECONCILIATION
PHYSICIAN CREDENTIALING
CLAIMS AGING REPORT

RPA-HEATMAP

We at NuAIg can help you envision your RPA roadmap that resonates perfectly with your business goals.

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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

Sentiment Analysis

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 Assistant

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.

Fraud Detection

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.

Shift Optimization

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.

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Corporate Office

US – EDISON