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"Employee Onboarding" DVR

Fortunately, Namaste Tech is very committed to protecting the privacy of its employees. It has developed the “My Namaste” App based on the zkPass Proof-as-a-Service architecture, which allows third-party entities to examine users’ information without compromising confidential information.

Taking the Proof Verifier role, Namaste Tech needs to create a DVR to query the blood test results of the incoming new employee.

Query

Namaste Tech defines the “Employee Onboarding” DVR Query for user Jane Doe as follows:

Do all of the following conditions hold true?

Is the lab's ID exactly "QH801874"?
Is the test ID exactly "SCREEN-7083-12345"?
Does the subject's first name match "jane" (case insensitive) ?
Does the subject's last name match "doe" (case insensitive) ?
Is the subject's date of birth exactly "1985-12-12"?
Is the level of amphetamines measured in panels (in Ng/mL) exactly zero?
Is the level of cocaine measured in panels (in Ng/mL) equal to or less than 10?

[
  {
    "assign": {
      "blood_test_status": {
        "and": [
          {
            "==": [{ "dvar": "lab.ID" }, "QH801874"]
          },
          {
            "==": [{ "dvar": "testID" }, "SCREEN-7083-12345"]
          },
          {
            "~==": [{ "dvar": "subject.firstName" }, "jane"]
          },
          {
            "~==": [{ "dvar": "subject.lastName" }, "doe"]
          },
          {
            "==": [{ "dvar": "subject.dateOfBirth" }, "1985-12-12"]
          },
          {
            "==": [{ "dvar": "measuredPanelsNgML.amphetamines" }, 0]
          },
          {
            "<=": [{ "dvar": "measuredPanelsNgML.cocaine" }, 10]
          }
        ]
      }
    }
  },
  { "output": { "title": "Blood Test Result" } },
  { "output": { "result": { "lvar": "blood_test_status" } } },
  { "output": { "name": { "dvar": "subject.firstName" } } }
]

"Employee Onboarding" DVR

Taking the Proof Verifier role, Namaste Tech needs to create a DVR to query the blood test results of the incoming new employee.

Query

Namaste Tech defines the “Employee Onboarding” DVR Query for user Jane Doe as follows:

Do all of the following conditions hold true?

Is the lab's ID exactly "QH801874"?
Is the test ID exactly "SCREEN-7083-12345"?
Does the subject's first name match "jane" (case insensitive) ?
Does the subject's last name match "doe" (case insensitive) ?
Is the subject's date of birth exactly "1985-12-12"?
Is the level of amphetamines measured in panels (in Ng/mL) exactly zero?
Is the level of cocaine measured in panels (in Ng/mL) equal to or less than 10?

[
  {
    "assign": {
      "blood_test_status": {
        "and": [
          {
            "==": [{ "dvar": "lab.ID" }, "QH801874"]
          },
          {
            "==": [{ "dvar": "testID" }, "SCREEN-7083-12345"]
          },
          {
            "~==": [{ "dvar": "subject.firstName" }, "jane"]
          },
          {
            "~==": [{ "dvar": "subject.lastName" }, "doe"]
          },
          {
            "==": [{ "dvar": "subject.dateOfBirth" }, "1985-12-12"]
          },
          {
            "==": [{ "dvar": "measuredPanelsNgML.amphetamines" }, 0]
          },
          {
            "<=": [{ "dvar": "measuredPanelsNgML.cocaine" }, 10]
          }
        ]
      }
    }
  },
  { "output": { "title": "Blood Test Result" } },
  { "output": { "result": { "lvar": "blood_test_status" } } },
  { "output": { "name": { "dvar": "subject.firstName" } } }
]