Identify if medical record is in a contract
using AI
Below is a free classifier to identify if medical record is in a contract. Just input your text, and our AI will predict if the medical record is part of the contract - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-medical-record-is-in-a-contract", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-medical-record-is-in-a-contract/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.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_text_here"}' \
https://www.nyckel.com/v1/functions/if-medical-record-is-in-a-contract/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if the medical record is part of the contract.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Medical Record Not Present In Contract and Medical Record Present In Contract.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the medical record is part of the contract).
Whether you're just curious or building if medical record is in a contract detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if medical record is in a contract at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Contract Compliance Verification: Organizations can utilize the text classification function to automatically review contracts and ensure that any medical records included conform to regulatory requirements. This helps in mitigating legal risks associated with non-compliance.
- Risk Management: Legal and compliance teams can identify contracts that may contain sensitive medical information, enabling them to assess and manage risks better. By flagging these documents promptly, they can ensure appropriate data protection measures are in place.
- Automated Due Diligence: During mergers and acquisitions, companies can use this function to streamline the due diligence process by quickly identifying any existing contracts that contain medical records. This significantly speeds up the review process, allowing for more informed decision-making.
- Contract Classification for Audit Purposes: Auditors can rely on this classification function to quickly categorize contracts that involve medical records. This helps in streamlining audits and ensuring comprehensive reviews of all relevant documentation.
- Data Privacy Compliance: Organizations in the healthcare sector can use the text classification function to ensure that contracts are aligned with data privacy standards, such as HIPAA. This proactive approach helps in safeguarding patient information and maintaining trust.
- Operational Efficiency: Legal teams can implement this function to enhance the efficiency of contract management systems. By automating the identification of medical records, legal teams can focus their resources on higher-value tasks rather than manual document reviews.
- Enhanced Reporting and Analytics: Companies can leverage the text classification function to generate insights and reports on the prevalence of medical records in contracts. This data can be valuable for strategic planning and identifying trends in contractual obligations related to healthcare.