diff --git a/Dockerfile b/Dockerfile
index 476d6d2..6ffd3f3 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -27,7 +27,7 @@ RUN install2.r --error --skipinstalled \
     && rm -rf /tmp/downloaded_packages
 
 # The model always needs to run on the exact version of h2o used to train it
-RUN Rscript -e "remotes::install_version('h2o', '3.42.0.2')"
+RUN Rscript -e "remotes::install_version('h2o', '3.44.0.3')"
 
 # Add the prediction model to the app
 COPY IIT-Prediction/model/V9B /app/model
diff --git a/SQL/iit_prod_data_extract.sql b/SQL/iit_prod_data_extract.sql
index 730c9f7..2c0cfa5 100644
--- a/SQL/iit_prod_data_extract.sql
+++ b/SQL/iit_prod_data_extract.sql
@@ -71,12 +71,12 @@ select
     coalesce(fs.hiv_disclosure_status_value, 'Not Done') as HIV_disclosure_stage,
     fs.tb_test_result as TB_Test_Result,
     convert(month(date(fs.rtc_date)), char) as 'Month',
-    mfm.clinic_county as Current_Clinc_County,
+    mfm.clinic_county as Current_Clinic_County,
     mfm.size_enrollments_log10 as Size_Enrollments_Log10,
     mfm.volume_visits_log10 as Volume_Visits_Log10,
     mfm.care_programme as 'Care Programme',
     mfm.facility_type as 'Facility Type',
-    program.name as 'Program Name'
+    program.name as Program_Name
 from etl.flat_hiv_summary_v15b as fs
         left join predictions.flat_ml_days_defaulted dd
                 on dd.encounter_id = fs.encounter_id