diff --git a/hospital-affiliations/.gitignore b/hospital-affiliations/.gitignore
index ad72c46..b144ce9 100644
--- a/hospital-affiliations/.gitignore
+++ b/hospital-affiliations/.gitignore
@@ -1,2 +1,5 @@
 # virtual environment
-env/
\ No newline at end of file
+env/
+
+# cache python
+__pycache__
diff --git a/hospital-affiliations/aff_hosp.py b/hospital-affiliations/aff_hosp.py
index 1d5ed2e..c45f3e6 100755
--- a/hospital-affiliations/aff_hosp.py
+++ b/hospital-affiliations/aff_hosp.py
@@ -1,17 +1,16 @@
-from numpy import column_stack
 import pandas as pd
-from nltk.tokenize import word_tokenize
 from fuzzywuzzy import fuzz
 import sys
 import json
 import unicodedata
 import re
+import config
 pd.options.mode.chained_assignment = None  
 
 # Check if an element of the list is in affiliation
-def is_hospital_affiliation(affiliation, list) :
+def is_hospital_affiliation(affiliation) :
     affiliation_lower = affiliation.lower()
-    for aff in list :
+    for aff in config.acronyms :
         if aff in affiliation_lower :
             return True
     return False
@@ -43,13 +42,8 @@
 
 def get_corresponding_hospital_from_affiliation(affiliation):
     affiliations_dataframe = pd.read_csv("hospital_affiliations.csv", sep=";")
-    acronyms = ["chr","chr ","chu ","chu,","chru","ap hp","ap hm","aphp","aphm","hosp","hop ","hop,"," serv","clcc","ctr lutte canc","antoine lacassagne","eugene marquis","baclesse",
-    "georges françois leclerc","gf leclerc","jf leclerc","henri becquerel","h becquerel","jean perrin","leon berard","ctr oscar lambret",
-    "oscar lambret comprehens","oscar lambret canc","clcc oscar lambret","ctr lutte canc oscar lambret","gustave roussy","bergonie",
-    "inst curie","curie inst","rene gauducheau","inst cancerol ouest","inst cancerol lorraine","alexis vautrin","inst reg canc montpellier",
-    "icans","paul strauss","paul str","paoli calmettes","inst j paoli i calmettes","claudius regaud","claudius rigaud","inst univ canc toulouse oncopole",
-    "inst univ cancerol oncopole","iuct oncopole","ctr lutte contre canc","ico canc","icm, montpellier canc inst","univ inst canc toulouse oncopole","rothschild"]
-    
+    acronyms = config.acronyms
+
     hospital = "N.C"
     affiliation = affiliation.lower()
     for acronym in acronyms:
@@ -57,7 +51,7 @@
             continue
 
         # standarize original dataframe
-        affiliations_dataframe["contains_acronyms"] = affiliations_dataframe["Affiliation"].apply(is_hospital_affiliation,list=acronyms)
+        affiliations_dataframe["contains_acronyms"] = affiliations_dataframe["Affiliation"].apply(is_hospital_affiliation)
         affiliations_dataframe["standardized_city"] = affiliations_dataframe["Ville_canonique_Dpt"].apply(remove_department_numbers_and_convert_acronyms).apply(remove_accents)
         
         if len(affiliations_dataframe[affiliations_dataframe["contains_acronyms"] == True]) == 0:
diff --git a/hospital-affiliations/config.py b/hospital-affiliations/config.py
new file mode 100644
index 0000000..e9f04e6
--- /dev/null
+++ b/hospital-affiliations/config.py
@@ -0,0 +1,6 @@
+acronyms = ["chr","chr ","chu ","chu,","chru","ap hp","ap hm","aphp","aphm","hosp","hop ","hop,"," serv","clcc","ctr lutte canc","antoine lacassagne","eugene marquis","baclesse",
+    "georges françois leclerc","gf leclerc","jf leclerc","henri becquerel","h becquerel","jean perrin","leon berard","ctr oscar lambret",
+    "oscar lambret comprehens","oscar lambret canc","clcc oscar lambret","ctr lutte canc oscar lambret","gustave roussy","bergonie",
+    "inst curie","curie inst","rene gauducheau","inst cancerol ouest","inst cancerol lorraine","alexis vautrin","inst reg canc montpellier",
+    "icans","paul strauss","paul str","paoli calmettes","inst j paoli i calmettes","claudius regaud","claudius rigaud","inst univ canc toulouse oncopole",
+    "inst univ cancerol oncopole","iuct oncopole","ctr lutte contre canc","ico canc","icm, montpellier canc inst","univ inst canc toulouse oncopole","rothschild"]