https://store-images.s-microsoft.com/image/apps.51873.252ddede-2f90-4e3a-b489-ccc16d12a05f.9ea1b1c0-2d79-449d-9f40-5686dc40d590.302fbdc6-aaee-4c41-8f8e-024adb42c735

Botminds AI Revenue Cycle Management Automation

Botminds AI Technologies Pvt. Ltd.

Botminds AI Revenue Cycle Management Automation

Botminds AI Technologies Pvt. Ltd.

AI-First, no-code platform for intelligent RCM data extraction, and accurate, fast claims processing

Botminds AI Revenue Cycle Management (RCM) Automation is a powerful no-code AI platform to Improve efficiency of health care providers’ revenue cycle process and uplift patient care. It eliminates repetitive, low-value, manual and tedious tasks.

The platform enables AI-powered extraction of 100s of granular data points across multiple patient record documents & claims forms; automated normalization and insightful analysis – thus, speeding up the processing.

Key highlights -

  • Streamline Revenue Cycle Process - End to end automation, AI-powered highly accurate extraction and validation of patient & claims data – greatly reducing administrative effort & manual intervention

  • Manage Case Spikes & Variations - Handles multiple formats of medical records, insurance claim forms (handwritten & printed, scanned) from hundreds of providers; and spurts of incoming documents

  • Minimize Revenue Loss or Delays - End-to-end automation with pre-trained models avoiding manual errors, reduces chances of delayed or reduced reimbursement

  • Enhance Patient Satisfaction - Reduces claim denials due to highly accurate extraction and processing, track claims status better, overall enable better quality of care for patients

The platform has 4 key modules that are vertically integrated and available as one platform, under a single license -

1. Capture - For automated abstraction: Automated classification of medical records (patient health records, insurance claim, cover page, discharge summary etc.) of different formats from hundreds of healthcare providers; and template-free extraction from handwritten or printed text, checkboxes etc. based on pre-trained models and easily trainable models; with semantic understanding of data points extracted; automated validation thereby greatly reducing administrative burden and needs for SME/ human intervention.

2. Search - For high-precision contextual results: Powerful cognitive vertical search engine that queries across documents based on relevant search filters – such as diagnose code, payor or provider etc. – to enable RCM service providers and healthcare providers discover relevant information and documents quickly; in addition, semantic search that provides relevant results for Q&A -type queries.

3. Analyze - To make Informed decisions: Customizable, interactive dashboards produce reports in form of interactive graphs and charts on claims processed vs. denied, average time taken - provide productivity insights and enable decision-making

4. Automate - To maximize efficiency: Workflow automation and integration (via APIs, webhooks) to downstream/upstream healthcare systems – thereby greatly reducing document or data duplication effort, back-and-forth coordination between entities or roles

https://store-images.s-microsoft.com/image/apps.35668.252ddede-2f90-4e3a-b489-ccc16d12a05f.9ea1b1c0-2d79-449d-9f40-5686dc40d590.64b3ab05-06fb-4a08-9af8-39fa4b417daf
/staticstorage/8165fe0/assets/videoOverlay_7299e00c2e43a32cf9fa.png
https://store-images.s-microsoft.com/image/apps.35668.252ddede-2f90-4e3a-b489-ccc16d12a05f.9ea1b1c0-2d79-449d-9f40-5686dc40d590.64b3ab05-06fb-4a08-9af8-39fa4b417daf
/staticstorage/8165fe0/assets/videoOverlay_7299e00c2e43a32cf9fa.png
https://store-images.s-microsoft.com/image/apps.63181.252ddede-2f90-4e3a-b489-ccc16d12a05f.9ea1b1c0-2d79-449d-9f40-5686dc40d590.88dcdd47-4000-4c6c-9ac3-478ea2ee66a6
https://store-images.s-microsoft.com/image/apps.46033.252ddede-2f90-4e3a-b489-ccc16d12a05f.9ea1b1c0-2d79-449d-9f40-5686dc40d590.a570a381-b248-480c-91ef-61c6314aaeba
https://store-images.s-microsoft.com/image/apps.44773.252ddede-2f90-4e3a-b489-ccc16d12a05f.9ea1b1c0-2d79-449d-9f40-5686dc40d590.a92eaaec-8fca-43cf-b329-62b193dc8b0f