newberryai 0.1.1

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NewberryAI Medical Tools

Features

• Compliance Checker: Analyze videos for regulatory compliance
• HealthScribe: Medical transcription using AWS HealthScribe
• Differential Diagnosis (DDx) Assistant: Get assistance with clinical diagnosis
• Medical Bill Extractor: Extract and analyze data from medical bills

Installation

pip install newberryai

Usage

NewberryAI can be used both as a command-line tool and as a Python module.

Command-Line Interface

The package provides a unified CLI with multiple subcommands:

newberryai <command> [options]

Available commands:

• compliance - Run compliance check on medical videos
• healthscribe - Transcribe medical conversations
• ddx - Get differential diagnosis assistance
• bill_extract - Extract and analyze medical bill data

Compliance Checker

newberryai compliance --video_file /path/to/video.mp4 --question "Is the video compliant with safety regulations such as mask?"

HealthScribe

newberryai healthscribe --file_path conversation.wav \
                       --job_name myJob \
                       --data_access_role_arn arn:aws:iam::aws_accountid:role/your-role \
                       --input_s3_bucket my-input-bucket \
                       --output_s3_bucket my-output-bucket \
                       --s3_key s3-key

Differential Diagnosis Assistant

# With a specific clinical indication
newberryai ddx --clinical_indication "Patient presents with fever, cough, and fatigue for 5 days"

# Interactive CLI mode
newberryai ddx --interactive

# Launch Gradio web interface
newberryai ddx --gradio

Medical Bill Extractor

# Analyze a specific document
newberryai bill_extract --image_path /path/to/medical_bill.pdf

# Interactive CLI mode
newberryai bill_extract --interactive

# Launch Gradio web interface
newberryai bill_extract --gradio

Python Module

You can also use NewberryAI as a Python module in your applications.

HealthScribe

from newberryai import HealthScribe
import os

# Set the environment variables for the AWS SDK
os.environ['AWS_ACCESS_KEY_ID'] = 'your_aws_access_key_id'
os.environ['AWS_SECRET_ACCESS_KEY'] = 'your_aws_secret_access_key'
os.environ['AWS_REGION'] = 'your_aws_region'

# Initialize the client
scribe = HealthScribe(
    input_s3_bucket="input-bucket",
    data_access_role_arn="arn:aws:iam::12345678912:role/your_role"
)

# Process an audio file
result = scribe.process(
    file_path="/path/to/audio_file.mp3",
    job_name="test_job_1",
    output_s3_bucket="output-bucket"
)

# Use the summary
print(result.summary)

Compliance Checker

from newberryai import ComplianceChecker

checker = ComplianceChecker()
video_file = "/path/to/video.mp4"
compliance_question = "Is the video compliant with safety regulations such as mask?"

# Call the compliance-checker function
result, status_code = checker.check_compliance(
    video_file=video_file,
    question=compliance_question
)

# Check for errors
if status_code:
    print(f"Error: {result.get('error', 'Unknown error')}")
else:
    # Print the compliance check result
    print(f"Compliant: {'Yes' if result['compliant'] else 'No'}")
    print(f"Analysis: {result['analysis']}")

Differential Diagnosis Assistant

from newberryai import DDxChat

# Initialize the DDx Assistant
ddx_chat = DDxChat()

# Ask a specific clinical question
response = ddx_chat.ask("Patient presents with fever, cough, and fatigue for 5 days")
print(response)

# Alternatively, launch interactive CLI
# ddx_chat.run_cli()

# Or launch the Gradio web interface
# ddx_chat.start_gradio()

Medical Bill Extractor

from newberryai import Bill_extractor

# Initialize the Bill Extractor
extractor = Bill_extractor()

# Analyze a document
analysis = extractor.analyze_document("/path/to/medical_bill.pdf")
print(analysis)

# Alternatively, launch interactive CLI
# extractor.run_cli()

# Or launch the Gradio web interface
# extractor.start_gradio()

Requirements

• Python 3.8+
• AWS account with appropriate permissions
• Required AWS services:
  • Amazon S3
  • AWS HealthScribe
  • AWS IAM

AWS Configuration

To use the AWS-powered features, you need to set up the following:

1. An AWS account with appropriate permissions
2. AWS IAM role with access to required services
3. S3 buckets for input and output data
4. AWS credentials configured in your environment

License

This project is licensed under the MIT License.