diff --git a/票据理赔自动化/main.py b/票据理赔自动化/main.py
index 497352e..1472235 100644
--- a/票据理赔自动化/main.py
+++ b/票据理赔自动化/main.py
@@ -14,7 +14,7 @@ from datetime import datetime
 from decimal import Decimal, ROUND_HALF_UP
 from hashlib import md5
 from pathlib import Path
-from typing import Any, Dict, Optional, Tuple
+from typing import Any, Dict, List, Optional, Tuple
 
 import cv2
 import numpy
@@ -294,7 +294,7 @@ if __name__ == "__main__":
                 ) from exception
 
         # noinspection PyShadowingNames
-        def query_institution_type(self, institution: str) -> Optional[Dict[str, Any]]:
+        def query_institution_type(self, institution: str) -> Optional[str]:
             """
             查询并获取单条购药及就医机构类型
             :param institution: 购药及就医机构
@@ -316,6 +316,12 @@ if __name__ == "__main__":
                     "查询并获取单条购药及就医机构类型发生异常"
                 ) from exception
 
+        # noinspection PyShadowingNames
+        def query_individual_policy(
+            self, insurance_branch: str, certificate_type: str, certificate_number: str
+        ) -> Optional[List[Dict[str, Any]]]:
+            pass
+
     # 实例化主数据
     master_data = MasterData()
 
@@ -613,6 +619,8 @@ if __name__ == "__main__":
                     }
                 )
 
+            # 查询
+
         # noinspection PyShadowingNames
         def bankcard_recognize(image_guid, image_format, image_base64) -> None:
             """
@@ -761,7 +769,7 @@ if __name__ == "__main__":
                         institution_type = master_data.query_institution_type(
                             institution
                         )
-                        # TODO: 若购药及就医机构类型为None则流转至主数据人工处理
+                        # TODO: 若查询并获取单条购药及就医机构类型发生异常则流转至主数据人工处理
                         if institution_type is None:
                             raise RuntimeError(
                                 "查询并获取单条购药及就医机构类型发生异常"
@@ -1431,10 +1439,9 @@ if __name__ == "__main__":
             image_base64, image_type = image_classify(
                 image_guid, image_format, image_ndarray
             )
-            # image["影像件BASE64编码"] = image_base64
+            image["影像件BASE64编码"] = image_base64
             image["影像件类型"] = image_type
-            # 将影像件数据添加至影像件层
-            # TODO: 若影像件类型为居民身份证(国徽面)和居民身份证(头像面)需合并
+
             dossier["影像件层"].append(image)
 
     # 就影像件层按照影像件类型排序