Sloth Technologies
Clinical Data Platform with RAG and AI Agents: BridgeTheGap Case Study
AI powered clinical insights platform for faster decisions and reduced administrative burden. Cloud based deployment for the US healthcare market.
CASE STUDY
clinical data platform with RAG and AI agents
Executive Summary
Sloth Technologies needed a healthcare operations platform that could unify patient data, reduce reporting overhead, and help clinical teams access insights faster. MythyaVerse built BridgeTheGap with PointClickCare integration through FHIR-based interfaces, support for structured records and unstructured documents, natural language querying, compiled morning reports, dashboards, alerts, and notifications. The platform was designed for the US healthcare market with security, compliance, and interoperability in mind. Its value is in helping teams move from scattered records and manual reports toward more accessible operational intelligence.
Results
Business Impact
BridgeTheGap reduced dependence on manual report compilation and made clinical data easier to query and review. Healthcare teams gained a clearer operational view while keeping interoperability and compliance needs in scope.
The project
Overview
Sloth-Technologies set out to address a critical problem in healthcare operations. Patient data exists across multiple systems, formats, and reports, making it difficult for healthcare teams to extract timely insights. BridgeTheGap was built as an AI powered application that unifies patient data, enables natural language querying, and delivers real time clinical insights to support faster, more informed actions.
The brief
Problem
Healthcare teams were working with fragmented patient records, slow reporting workflows, and limited access to facility-level operational insights.
The brief
Constraints
- Integrate with existing EHR systems rather than forcing a separate data silo.
- Support structured records and unstructured documents in one queryable experience.
- Preserve security, compliance, and interoperability requirements for healthcare data.
- Generate operational summaries and alerts that are useful for daily clinical workflows.
The system
Solution Architecture
- FHIR-based integration connects PointClickCare data to the platform.
- Structured records and unstructured documents are unified into patient and facility views.
- Natural language querying lets healthcare professionals ask questions without navigating complex systems.
- Morning reports, dashboards, alerts, and notifications turn data into operational workflows.
01 / Context
The Challenge
Healthcare facilities manage large volumes of patient data across electronic health records, documents, and reports. This data is often fragmented and difficult to analyze quickly. Clinical teams face challenges such as:
- Fragmented patient data across systems
- Slow access to meaningful clinical insights
- Manual compilation of reports and summaries
- Inefficient resource allocation decisions
- Administrative overhead that reduces time for patient care
02 / Goals
Objectives
- Unify patient data into a single, accessible view
- Enable clinicians to query patient and facility data using natural language
- Generate structured, compiled morning reports at the facility level
- Deliver real time insights through dashboards and alerts
- Reduce manual reporting and administrative effort
- Maintain security, compliance, and interoperability with existing EHR systems
03 / Process
Our Approach
MythyaVerse partnered with Sloth-Technologies to design and build the core intelligence and engineering behind BridgeTheGap. The platform integrates directly with PointClickCare using FHIR based interfaces, allowing secure ingestion of structured EHR data and unstructured documents. We designed an AI powered layer that transforms raw clinical data into usable insights, with natural language querying and automated morning report generation.
04 / Delivery
Solution Delivered
- Unified Patient Data View -A consolidated view of patient data sourced from PointClickCare, including structured records and unstructured documents.
- Natural Language Querying -Healthcare professionals can ask questions directly about patient or facility data without navigating complex interfaces.
- Compiled Morning Reports -Automatically generated, systematically analyzed reports that provide a facility level overview for daily clinical operations.
- Real Time Dashboards -Visual dashboards that surface key insights and trends relevant to care delivery and resource management.
- Automated Alerts and Notifications -Proactive alerts that notify users of important changes or conditions requiring attention.
- Secure EHR Integration -FHIR based integration with PointClickCare ensures interoperability and data integrity.
The stack
Technologies Used
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