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Health Management Information System (HMIS) KAPIL GHAI State Coordinator RMNCH+A.

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Presentation on theme: "Health Management Information System (HMIS) KAPIL GHAI State Coordinator RMNCH+A."— Presentation transcript:

1 Health Management Information System (HMIS) KAPIL GHAI State Coordinator RMNCH+A

2 Health Management Information System  All 22 districts are reporting facility wise  Total Active facilities  Data reporting is above 99% for most of the months in

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4 HMIS CONCEPTS

5 Gathering, Aggregating, Analyzing data & using the information for taking appropriate actions to improve performance of health services. Introduction

6 NATIONAL AND STATE LEVELDISTRICT LEVELSUB DISTRICT LEVEL (BLOCK,PHC,SUB-CENTRE)  Identifying Priorities and defining Strategies  Formulation of Health Policy & Programs  Collation of data  Monitoring the performance of sub-districts  Planning and designing specific interventions  Collation of data  Efficient and effective registering  Improvements in data quality  Systems for complete, consistent reporting  Timeliness and accuracy Salient features Of HMIS

7 Block District Head Quarter (DPMU) District/ Sub District Hospital National Level Information flow State Head Quarter Data Aggregation Unit CHC PHC SC

8 District Hospital CHC PHC SC 8

9 Mode of Data DATARESETDATARESET 9 State DraftCentreDistrict Draft Sub-District Draft State forwardDistrict ForwardSub-District Forward DATA FINALISATION

10 For Timeliness Completeness Accuracy Validity Reliability Consistency Feedback When ??? Regular monthly checking of entered data at District and Facility Level Incomplete Data Incorrect Data Inconsistent Data HMISChecking HMIS Checking

11 Check if all Districts / facilities have filled in the Data for the Month Check for the Completeness of Data.. Percentage filled Check for Validation errors Check for Outliers Feedback to districts/ sub- districts Forward Data Required Process (monthly from facility, district, state) If not followed gives erroneous data

12 Facility Based Reporting Online data entry, directly in HMIS portal Data entry in Offline excel sheet and then uploading in HMIS portal Excel files can be downloaded from the downloads section (HMIS formats) The Excel sheets is encrypted and does not allows the user to change, delete or modify any items or cells other those nominated to enter the data.

13 Downloads Section- download the Performa pertaining to your facility, and save to your disk.

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15 Excel Sheet for data entry

16 Data Uploading - Ways 1.Single facility Data Upload 2.Multiple Facility Data Upload New

17 Process - Single facility Data Upload Login with your username and password. Go to MIS-> Monthly Click Add Select year, month, proforma / format and facility name click on Move Next.

18 Process - Single facility Data Upload (contd.) Upload the offline already filled excel sheet by clicking the upload proforma / format link Fill the online format for online data entry and press the update button

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30 Data Uploaded

31 Multiple facility data upload Data of Multiple facilities is uploaded in one go by using offline excel sheets User can upload data for 25 facilities at once The data is updated on the portal within 24 hours If data for facility is not uploaded then an error message is displayed indicating reason for not uploading.

32 Process - Multiple facility Data Upload Login with your username and password. Go to menu offline data upload Click Add Select year, month, Performa / format and facility names Browse the required files in front of required facilities Click on Upload Excel

33 Multiple facilities may be choosen Choose location of file to be uploaded * Make sure that the data uploaded matches the facility

34 Data Forwarding After uploading,the facility data has to be Verified using verify button The sub-district user has to then forward the facility data Once forwarded the data cannot be changed until it has been reset to draft mode

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41 Data Forwarding Data can be forwarded from sub-district via: 1.Individual file forward 2.Bulk Forward

42 Sub-district user provided the feature to forward facility wise data from sub-district draft mode to sub-district forward mode only Does not require selecting individual facility Data Forwarding : Bulk Forward

43 Single Facility Forward

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46 Check on individual files to be forwarded

47 Selected facilities whose data has to be forwarded

48 HMISOutputs HMIS Outputs Dynamic Reports Data Item Reports Log Report Error Report Indicator wide Reports Standard Reports Data Reporting Status Drill Down reports RCH Indicators Reports All Modes data report State/District Fact Sheets Probable Outliers and Validation

49 % 1st Trimester registration to Total ANC Registrations % Pregnant Woman received 3 ANC check ups to Total ANC Registrations % Pregnant women received TT2 or Booster to Total ANC Registration Maternal and Child Health Indicators J&K upto September

50 % Pregnant women having severe anaemia (Hb<7) treated at institution to women having hb level<11 % New cases detected at institution for hypertension to Total ANC Registrations Maternal and Child Health Indicators J&K upto September

51 % SBA attended home deliveries to Total Reported Home Deliveries % Institutional Deliveries to total ANC registration % Institutional deliveries to Total Reported Deliveries Maternal and Child Health Indicators J&K upto September

52 % C-section deliveries (Public + Pvt.) to reported institutional (Public + Pvt.) deliveries % C-sections conducted at public facilities to Deliveries conducted at public facilities % C-sections conducted at Private facilities to Deliveries conducted at private facilities Maternal and Child Health Indicators J&K upto September

53 % Women receiving post partum check-up within 48 hours of delivery to Total Reported Deliveries % Women getting Post Partum Checkup between 48 hours and 14 days to Total Deliveries Maternal and Child Health Indicators J&K upto September

54 Way Forward HMIS data for review meeting to be used at District / Block level. Regular feedback to ANMs in monthly meeting for improvement in quality data. Time to time data validation by District and Block level officials. Use and Validation of HMIS data by Programme Manager at State Health Society

55 THANK YOU


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