Identify if doctors are washing their hands using AI

Below is a free classifier to identify if doctors are washing their hands. Just upload your image, and our AI will predict if doctors are washing their hands - in just seconds.

if doctors are washing their hands identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-doctors-are-washing-their-hands", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-doctors-are-washing-their-hands/invoke', {
        method: 'POST',
        headers: {
            'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
            'Content-Type': 'application/json',
        },
        body: JSON.stringify(
            {"data": "your_image_url"}
        )
    })
    .then(response => response.json())
    .then(data => console.log(data));
                

    curl -X POST \
        -H "Content-Type: application/json" \
        -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
        -d '{"data": "your_image_url"}' \
        https://www.nyckel.com/v1/functions/if-doctors-are-washing-their-hands/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if doctors are washing their hands.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Doctors Not Washing Hands and Doctors Washing Hands.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if doctors are washing their hands).

Whether you're just curious or building if doctors are washing their hands detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify if doctors are washing their hands at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Infection Control Compliance: Hospitals can implement this function to monitor hand hygiene compliance among medical staff in real time. By identifying whether doctors are washing their hands, healthcare facilities can ensure adherence to infection control protocols, ultimately reducing hospital-acquired infections.

  • Training and Performance Evaluation: Medical institutions can use the data collected from this classifier to analyze hand hygiene practices during staff training sessions. Feedback can be provided to individual doctors or groups, allowing for targeted interventions and improved adherence to hygiene standards.

  • Patient Safety Analytics: This function can contribute to assessing overall patient safety metrics in healthcare environments. By integrating hand washing compliance data with patient outcomes, hospitals can identify correlations between hygiene practices and rates of infection or complications.

  • Automated Reporting Systems: Healthcare organizations can automate the reporting of hand hygiene compliance with this identifier. This would streamline the reporting process to regulatory bodies and enhance transparency while improving accountability among staff.

  • Real-Time Alerts: By utilizing this function in conjunction with monitoring systems, hospitals can send real-time alerts to staff when a missed hand washing opportunity is detected. This proactive approach can prompt immediate corrective actions and reinforce the importance of hygiene.

  • Behavioral Research Studies: Research institutions can leverage the hand washing identifier in studies aimed at understanding health professionals' behavior regarding hygiene. The collected data can support research on the effectiveness of different interventions designed to improve compliance rates.

  • Operational Efficiency Optimization: Hospitals can analyze patterns in hand washing activity to optimize workflows and staffing. By understanding peak activity times when compliance may dip, healthcare facilities can implement strategies to bolster hygiene practices during critical moments.

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