--- a
+++ b/medacy/tests/pipelines/test_pipeline.py
@@ -0,0 +1,42 @@
+import unittest
+
+import spacy
+from spacy.tokens import Doc
+
+from medacy.pipelines.testing_pipeline import TestingPipeline
+from medacy.tests.sample_data import sample_dataset
+
+
+class TestPipeline(unittest.TestCase):
+    """Unit tests for medacy.pipelines.testing_pipeline.TestingPipeline"""
+
+    def test_pipeline(self):
+        # Get the entities, the pipeline, and an extra spaCy pipeline
+        entities = sample_dataset.get_labels(as_list=True)
+        pipeline = TestingPipeline(entities)
+
+        if "gold_annotator" in pipeline.spacy_pipeline.pipe_names:
+            pipeline.spacy_pipeline.remove_pipe("gold_annotator")
+
+        spacy_pipeline = spacy.load('en_core_web_sm')
+
+        # Create a sample Doc
+        sample_doc_path = sample_dataset.data_files[0].txt_path
+        with open(sample_doc_path) as f:
+            text = f.read()
+
+        # The doc must be passed through a separate spaCy pipeline first
+        doc = spacy_pipeline(text)
+        doc = pipeline(doc)
+        self.assertIsInstance(doc, Doc)
+
+        # Check that the first token has all the expected spaCy features
+        spacy_features = pipeline.get_feature_extractor().spacy_features
+        token = doc[0]
+        for feature in spacy_features:
+            result = hasattr(token, feature)
+            self.assertTrue(result)
+
+
+if __name__ == '__main__':
+    unittest.main()