Healthcare Industry

AI-Powered Patient Management System

Nationwide Hospital Network

Location
Bangalore, India
Duration
10 months
Team Size
15 specialists
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The Challenge

Managing patient documentation, scheduling, and care coordination across multiple facilities was creating administrative bottlenecks. Medical staff were spending more time on paperwork than patient care, leading to burnout and reduced patient satisfaction.

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Our Solution

We developed an intelligent automation platform that uses Natural Language Processing to extract information from medical documents, automate scheduling based on doctor availability and patient needs, and coordinate care across departments. The system includes voice-to-text capabilities for doctors to dictate notes efficiently.

Implementation Steps

1

Integrated with existing Electronic Health Record (EHR) systems

2

Deployed NLP models trained on medical terminology

3

Implemented intelligent scheduling algorithms

4

Created mobile app for doctors and nurses

5

Established secure data sharing protocols across facilities

6

Trained staff on new workflows and system usage

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Measurable Impact

62% Reduction
Administrative Time
Time saved on documentation and scheduling
93% Decrease
Billing Errors
Improved accuracy in medical coding and billing
28% Improvement
Patient Satisfaction
Enhanced patient experience scores
34% Increase
Staff Retention
Reduced burnout and improved job satisfaction

Technologies Used

Natural Language ProcessingIntelligent AutomationCloud ComputingMobile DevelopmentAzureReact NativePython
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This platform has given us back time to focus on what matters most - our patients. The reduction in administrative burden has been transformative.

Medical Director
Nationwide Hospital Network

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