Skip to content

detect_phi

detect_phi(
    text: BoundedLengthString,
    *,
    config_overrides: Optional[ComprehendMedicalClientConfig] = None,
) -> DetectPHIResponse

Inspects the clinical text for protected health information (PHI) entities and returns the entity category, location, and confidence score for each entity. Amazon Comprehend Medical only detects entities in English language texts.

Parameters:

  • text (BoundedLengthString) –

    A UTF-8 text string containing the clinical content being examined for PHI entities.

Raises:

  • InternalServerException –

    An internal server error occurred. Retry your request.

  • InvalidEncodingException –

    The input text was not in valid UTF-8 character encoding. Check your text then retry your request.

  • InvalidRequestException –

    The request that you made is invalid. Check your request to determine why it's invalid and then retry the request.

  • ServiceUnavailableException –

    The Amazon Comprehend Medical service is temporarily unavailable. Please wait and then retry your request.

  • TextSizeLimitExceededException –

    The size of the text you submitted exceeds the size limit. Reduce the size of the text or use a smaller document and then retry your request.

  • TooManyRequestsException –

    You have made too many requests within a short period of time. Wait for a short time and then try your request again. Contact customer support for more information about a service limit increase.

  • UnknownServiceError –

    The service returned an error code this client does not model.

Source code in docs_src/capo_comprehendmedical/_services/comprehend_medical.py
def detect_phi(
    self,
    text: "capo_comprehendmedical.types.bounded_length_string.BoundedLengthString",
    *,
    config_overrides: Optional[ComprehendMedicalClientConfig] = None,
) -> "capo_comprehendmedical.types.detect_phi_response.DetectPHIResponse":
    """<p>Inspects the clinical text for protected health information (PHI) entities and returns the entity category, location, and confidence score for each entity. Amazon Comprehend Medical only detects entities in English language texts.</p>

    Args:
        text: <p>A UTF-8 text string containing the clinical content being examined for PHI entities.</p>

    Raises:
        capo_comprehendmedical.errors.internal_server_exception.InternalServerException: <p> An internal server error occurred. Retry your request. </p>
        capo_comprehendmedical.errors.invalid_encoding_exception.InvalidEncodingException: <p> The input text was not in valid UTF-8 character encoding. Check your text then retry your request.</p>
        capo_comprehendmedical.errors.invalid_request_exception.InvalidRequestException: <p> The request that you made is invalid. Check your request to determine why it's invalid and then retry the request.</p>
        capo_comprehendmedical.errors.service_unavailable_exception.ServiceUnavailableException: <p> The Amazon Comprehend Medical service is temporarily unavailable. Please wait and then retry your request. </p>
        capo_comprehendmedical.errors.text_size_limit_exceeded_exception.TextSizeLimitExceededException: <p> The size of the text you submitted exceeds the size limit. Reduce the size of the text or use a smaller document and then retry your request. </p>
        capo_comprehendmedical.errors.too_many_requests_exception.TooManyRequestsException: <p> You have made too many requests within a short period of time. Wait for a short time and then try your request again. Contact customer support for more information about a service limit increase. </p>
        capo_comprehendmedical.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_comprehendmedical.types.detect_phi_request.DetectPHIRequest]",
    ) -> OperationResponse[
        "capo_comprehendmedical.types.detect_phi_response.DetectPHIResponse"
    ]:
        import capo_comprehendmedical._operations.comprehend_medical_20181030.detect_phi

        output, http_response = (
            capo_comprehendmedical._operations.comprehend_medical_20181030.detect_phi.detect_phi(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DetectPHI")
    )
    input_: capo_comprehendmedical.types.detect_phi_request.DetectPHIRequest = {
        "text": text
    }

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output