feat(tests/fixtures): Add radiology AI anomaly detection example

tests/fixtures/radiology_anomaly_detection.cql

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+library RadiologyAnomalyDetection version '1.0.0'
+using FHIR version '4.0.1'
+include FHIRHelpers version '4.0.1'
+
+context Patient
+
+define "RelevantRadiologyReports":
+  [DiagnosticReport] DR
+    where DR.status.value in {'final', 'amended', 'corrected'}
+      and exists (DR.category C where exists (C.coding Coding where Coding.code.value = 'RAD'))
+
+define "FlaggedAnomalies":
+  "RelevantRadiologyReports" DR
+    where exists (DR.conclusionCode.coding C
+      where C.system.value = 'http://snomed.info/sct' and C.code.value = '386661006')
+
+define "FinalDecision":
+  if exists("FlaggedAnomalies") then 'Prioritize for Urgent AI-Assisted Review'
+  else 'Standard Workflow'

tests/fixtures/radiology_anomaly_test.go

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+// Copyright 2024 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package fixtures
+
+import (
+	"context"
+	"fmt"
+	"os"
+	"time"
+
+	log "github.com/golang/glog"
+	"github.com/google/cql"
+	"github.com/google/cql/result"
+	"github.com/google/cql/retriever/local"
+)
+
+// Example_radiologyAnomalyDetection demonstrates using CQL for AI-assisted clinical decision support in radiology.
+func Example_radiologyAnomalyDetection() {
+	// Load FHIR data model and helpers
+	fhirDataModel, fhirHelpers, err := cql.FHIRDataModelAndHelpersLib("4.0.1")
+	if err != nil {
+		log.Fatal(err)
+	}
+
+	// Read the CQL library from file
+	cqlContent, err := os.ReadFile("radiology_anomaly_detection.cql")
+	if err != nil {
+		log.Fatalf("Failed to read CQL file: %v", err)
+	}
+
+	// Read the FHIR bundle from file
+	bundleData, err := os.ReadFile("radiology_sample_bundle.json")
+	if err != nil {
+		log.Fatalf("Failed to read bundle file: %v", err)
+	}
+
+	libs := []string{string(cqlContent), fhirHelpers}
+
+	// Parse the libraries with FHIR data model
+	ctx, cancel := context.WithTimeout(context.Background(), 3*time.Minute)
+	defer cancel()
+
+	elm, err := cql.Parse(ctx, libs, cql.ParseConfig{DataModels: [][]byte{fhirDataModel}})
+	if err != nil {
+		log.Fatalf("Failed to parse radiology CQL: %v", err)
+	}
+
+	// Use local retriever with the sample bundle
+	retriever, err := local.NewRetrieverFromR4Bundle(bundleData)
+	if err != nil {
+		log.Fatalf("Failed to build retriever: %v", err)
+	}
+
+	// Evaluate the CQL
+	results, err := elm.Eval(ctx, retriever, cql.EvalConfig{})
+	if err != nil {
+		log.Fatalf("Failed to evaluate: %v", err)
+	}
+
+	// Print the final decision
+	decision := results[result.LibKey{Name: "RadiologyAnomalyDetection", Version: "1.0.0"}]["FinalDecision"]
+	if result.IsNull(decision) {
+		fmt.Println("FinalDecision: null")
+	} else {
+		str, err := result.ToString(decision)
+		if err != nil {
+			log.Fatal(err)
+		}
+		fmt.Printf("FinalDecision: %s\n", str)
+	}
+
+	// Output:
+	// FinalDecision: Prioritize for Urgent AI-Assisted Review
+}

tests/fixtures/radiology_sample_bundle.json

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+{
+	"resourceType": "Bundle",
+	"type": "transaction",
+	"entry": [
+		{
+			"fullUrl": "fullUrl",
+			"resource": {
+				"resourceType": "Patient",
+				"id": "example-patient"
+			}
+		},
+		{
+			"fullUrl": "fullUrl",
+			"resource": {
+				"resourceType": "DiagnosticReport",
+				"id": "normal-report",
+				"status": "final",
+				"category": [{"coding": [{"code": "RAD"}]}],
+				"conclusionCode": [{"coding": [{"system": "http://snomed.info/sct", "code": "260385009"}]}]
+			}
+		},
+		{
+			"fullUrl": "fullUrl",
+			"resource": {
+				"resourceType": "DiagnosticReport",
+				"id": "anomalous-report",
+				"status": "final",
+				"category": [{"coding": [{"code": "RAD"}]}],
+				"conclusionCode": [{"coding": [{"system": "http://snomed.info/sct", "code": "386661006"}]}]
+			}
+		}
+	]
+}