Identify if patient wristband is visible
using AI
Below is a free classifier to identify if patient wristband is visible. Just upload your image, and our AI will predict if the patient wristband is visible - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-patient-wristband-is-visible", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-patient-wristband-is-visible/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-patient-wristband-is-visible/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the patient wristband is visible.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Wristband Not Visible and Wristband Visible.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the patient wristband is visible).
Whether you're just curious or building if patient wristband is visible detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if patient wristband is visible at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Patient Verification: This use case focuses on verifying patient identity by checking if the wristband is visible in images captured during hospital visits. Ensuring that the wristband is visible can help prevent medication errors and ensure that patients receive the correct treatments based on their identified health records.
- Attendance Monitoring: By utilizing the wristband visibility feature, hospitals can monitor patient attendance in scheduled treatments or therapies. If a patient’s wristband is detected, the system can automatically check them in, streamlining administrative tasks and enhancing patient flow.
- Emergency Response: In emergency situations, visually identifying whether a patient’s wristband is visible can expedite access to crucial medical information. This can enhance the effectiveness of emergency medical responses by ensuring that professionals have immediate access to the patient’s identity and medical history.
- Compliance Monitoring: This use case involves monitoring compliance with hospital protocols concerning patient wristbands. By analyzing image feeds for wristband visibility, hospitals can ensure that protocols are being followed consistently among staff and patients, thereby improving safety and care quality.
- Research and Analytics: The functionality can be utilized in research settings to collect data on patient wristband visibility over time. Researchers can analyze the correlation between visibility and patient outcomes, contributing to studies on hospital efficiency and patient safety practices.
- Staff Training: The system can be used to evaluate staff adherence to wristband identification procedures during training sessions. By analyzing recorded interactions and identifying instances where wristbands are not visible, trainers can provide targeted feedback to improve compliance and patient safety.
- Patient Engagement: Enhancing patient engagement by encouraging patients to wear their wristbands visibly and educating them about the importance can be facilitated through this use case. The system can send reminders or notifications to patients if their wristband is not detected, fostering better adherence to hospital protocols and improving overall care coordination.