Healthcare Associated Infections (HAI) Hive Case Study

Healthcare associated infections (HAIs) are infections that patients develop during the course of receiving healthcare treatment for other conditions. They can happen following treatment in healthcare facilities including hospitals as well as outpatient surgery centers, dialysis centers, long-term care facilities such as nursing homes, rehabilitation centers, and community clinics.

This project is to look at US efforts to reduce Healthcare Associated Infections (HAI) in Year 2013.4 measures are included: hospital-acquired central line-associated bloodstream infections (CLABSI) Methicillin-resistant Staphylococcus aureus (MRSA) catheter-associated urinary tract infections (CAUTI) Clostridium difficile (C.diff.)

 

Please follow below steps to process the data :

 

Step 1: Download data source as csv files: HAI_Hospital.csv HAI_State.csv HAI_State_Prior.csv

 

Step 2: mkdir directory medicare. Copy files into HDFS

 

Step 3: Use Hive to create database medicare Run LoadStagingTables.hsql. This is to create and load staging tables: hai_hospital_stg hai_state_stg Hai_state_prior_yr_stg

 

Step 4: Run Create_Load_tables.hsql This script is to: • Create tables hai_hosptial and populate from hai_hospital_stg table filtering on measure id like ‘%SIR’ (only include standardized infection ratio) and score <> ‘Not Available’, partitioned by measure id • Create table hai_hospital_cnt_by_state and populate from hai_hospital_stg table group by state to get the number of participating hospitals • Create table hai_state and populate from hai_state_stg filtering on measure id like ‘%SIR’ (only include standardized infection ratio) and score <> ‘Not Available’ • Create table hai_state_prior_yr and populate from hai_state_prior_yr_stg filtering on score <> ‘Not Available’

 

Step 5: Run Hai_Analysis. This script is to create table hai_analysis and populate by joining hai_state, hai_hospital_cnt_by_state and hai_state_prior_yr to create one dataset for data visualization.

 

Step 6: Use sqoop to export hai_analysis to mysql: sqoop export -m 1 –connect jdbc:mysql://192.165.155.1(Your IP Address)/medicare –username root –password root –table HAI_Analysis –export-dir /user/cloudera/medicare/hai_analysis –input-fields-terminated-by ‘\t’

 

DOWNLOADS :

 

Healthcare Associated Infections (HAI) Hive Queries and Output file

Healthcare Associated Infections (HAI) Dataset

 

I hope this tutorial will surely help you. If you have any questions or problems please let me know.

Happy Hadooping with Patrick..

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