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Healthcare

Diagnostic Assistance
Platform

How we helped a healthcare provider improve diagnostic accuracy by 28% and reduce time to diagnosis by 43%.

AI Consulting
Custom LLM Development
RAG Development

Key Results

28%
Improved Accuracy
43%
Faster Diagnosis
12k+
Patients Helped

Project Overview

A leading healthcare provider with multiple facilities across the country was facing challenges with diagnostic accuracy and efficiency. Their existing diagnostic processes were time-consuming and occasionally led to misdiagnoses, impacting patient outcomes and increasing healthcare costs.

The healthcare provider approached AscendAI to develop an AI-powered diagnostic assistance platform that could help medical professionals make more accurate diagnoses in less time. They needed a solution that could integrate with their existing systems, comply with strict healthcare regulations, and provide explainable recommendations.

Client

National Healthcare Provider

Timeline

8 Months

Services

AI Consulting, Custom LLM Development, RAG Development

The Challenge

Diagnostic Challenges

Diagnostic Accuracy

Medical professionals were achieving an 82% diagnostic accuracy rate, with certain complex conditions proving particularly challenging.

Time to Diagnosis

The average time to reach a diagnosis was 3.2 days, delaying treatment and impacting patient outcomes.

Information Overload

Doctors were struggling to keep up with the exponential growth of medical research and literature.

Regulatory Compliance

Any solution needed to comply with HIPAA and other healthcare regulations while maintaining data privacy.

Pre-Implementation Metrics

Diagnostic Accuracy
82%
Time to Diagnosis
78%
Patient Satisfaction
71%
Readmission Rate
12%

Our AI Solution Architecture

Patient Data
Medical Records
Research Papers
Medical Data Processing & Normalization
Medical LLM Core
Symptom Analysis | Condition Matching | Evidence Retrieval
RAG System & Medical Knowledge Base
Diagnostic Suggestions
Evidence Citations
Treatment Options
AI-powered diagnostic assistance platform with RAG capabilities
The Solution

AI-Powered Diagnostic Assistant

Medical Knowledge Base

We developed a comprehensive medical knowledge base using RAG technology, incorporating millions of research papers, clinical guidelines, and case studies.

Symptom Analysis

Our custom LLM analyzes patient symptoms, medical history, and test results to suggest potential diagnoses with probability scores.

Evidence-Based Recommendations

The system provides evidence-based recommendations with citations to relevant medical literature, helping doctors make informed decisions.

Secure Integration

We implemented secure integration with existing electronic health record systems while ensuring HIPAA compliance and data privacy.

The Results

Transformative Outcomes

Our AI solution delivered significant improvements across all key metrics, transforming the diagnostic capabilities of the healthcare provider.

28%
Diagnostic Accuracy
Improvement in diagnostic accuracy
43%
Time to Diagnosis
Reduction in time to diagnosis
32%
Patient Satisfaction
Increase in patient satisfaction
41%
Readmission Rate
Reduction in readmission rate

Performance Comparison

Before Implementation

Diagnostic Accuracy82%
Time to Diagnosis3.2 days
Patient Satisfaction71%
Readmission Rate12%

After Implementation

Diagnostic Accuracy95%
Time to Diagnosis1.8 days
Patient Satisfaction94%
Readmission Rate7%
DR
"AscendAI's diagnostic assistance platform has revolutionized our approach to patient care. The system's ability to analyze complex medical data and provide evidence-based recommendations has significantly improved our diagnostic accuracy and efficiency. Most importantly, it has led to better outcomes for our patients."
Dr. Rebecca Chen
Chief Medical Officer, National Healthcare Provider
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