def METHOD_NAME(event: Dict):
    """
    Take a request that includes hypertension related data, and return a response
    :param event: request body
    :type event: dict
    :return: response body
    :rtype: dict
    """
    validation_results = data_model.validate_request_body(event)
    response_body = {}
    if "claimSubmissionDateTime" not in event:
        event["claimSubmissionDateTime"] = str(f"{date.today()}T00:00:00Z")
    if validation_results["is_valid"]:
        relevant_medication = medications.medication_required(
            event
        )
        bp_readings = bp_calculator.bp_reader(event)
        response_body.update(
            {
                "evidence": {
                    "medications": relevant_medication["medications"],
                    "bp_readings": bp_readings["oneYearBp"],
                },
                "evidenceSummary": {
                    "totalBpCount": bp_readings["totalBpCount"],
                    "recentBpCount": bp_readings["oneYearBpCount"],
                    "medicationsCount": relevant_medication["medicationsCount"],
                },
                "claimSubmissionId": event['claimSubmissionId']
            }
        )
        logging.info(f"claimSubmissionId: {event['claimSubmissionId']}, message processed successfully")
    else:
        logging.info(
            f"claimSubmissionId: {event['claimSubmissionId']}, message failed to process due to: {validation_results['errors']}")
        response_body["errorMessage"] = "error validating request message data"
        response_body["claimSubmissionId"] = event['claimSubmissionId']
    return response_body