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    Patient Intake Automation Solution

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    Sold by: KagenAI 
    AWS native patient intake automation solution that streamlines data collection, pre visit assessments, and initial triage workflows to improve operational efficiency, data quality, and patient experience.

    Overview

    The Patient Intake Automation Solution enables healthcare providers to modernize front desk operations by automating patient data collection, pre visit assessments, and triage workflows. Traditional intake processes often rely on paper forms, repetitive questioning, and inconsistent data capture, which slow clinical workflows, increase administrative workload, and negatively impact patient experience.

    This AWS native solution guides patients through structured digital questionnaires, extracting relevant clinical and administrative indicators in real time. Responses are interpreted using AI driven models to identify potential risks, flag follow ups, and generate structured intake summaries that feed directly into scheduling, clinical review, and administrative workflows—eliminating repeated manual intervention.

    Secure, scalable processing is supported using Amazon API Gateway for interaction management, AWS Lambda for workflow orchestration, and Amazon S3 and DynamoDB for reliable storage and retrieval. Amazon Bedrock and Amazon Comprehend provide AI based interpretation of patient inputs, extracting context, intent, and key signals. Operational monitoring is maintained via Amazon CloudWatch, while IAM, AWS KMS, and VPC isolation ensure secure, compliant handling of sensitive patient data. The solution scales dynamically to support fluctuating intake volumes while maintaining consistent performance and a patient friendly experience.

    Highlights

    • Automated digital patient intake and assessment workflows
    • Accurate collection and structuring of patient provided information
    • Pre visit assessments and intake level triage support

    Details

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    Delivery method

    Deployed on AWS
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    Support

    Vendor support

    Do you need further discussion on the requirements? You can write to us at Email – hello@kagen.ai