1. Data Summit, Johannesburg
Swaziland HIS Overview and Real-Time Monitoring And Data Use
Mrs. Zanela Simelane
HMIS Manager
Data Summit, Johannesburg
18th – 22September, 2017

2. Presentation Outline CMIS Conceptual framework & concept of operation
MOH HIS Vision
&
Rationale CMIS
CMIS Conceptual framework & concept of operation
Use of primary clinical data at facility level
CMIS Data Flow & Sharing Framework, and CMIS DW and DHIS/DATIM data exchange
Achievements/Progress

3. MoH HIS Vision
VISION
A Health Information System that will be comprehensive, effective and efficient in supporting the health sector and other relevant stakeholders in the delivery of health services

4. Rationale for Client Management Information System
Patient/Client Management Information System: Unique Client ID – Patient Linkage, Electronic Patient Record, Unified Systems
Parallel Inv. In HMIS
Parallel Inf. Sys.
Burden of Data Collection

5. Swaziland CMIS Conceptual Framework
People’s Trust
Positive Health Clients Knowledge, Attitude and Practice on CMIS
Government Willingness, Ownership and Effective Leadership
Performance of Financial, Administrative and HR Systems
High National ID High Coverage and Use
Enabling Environment
Infrastructure
Adequate Skillful and Willing DM & IT Systems Technical Staff
CMIS Driving Factors
Data Collection, Management and Analysis
Strategic Information at the Fingertips of Clinicians, Programmers and Decision Makers
Adequate and Performing Hardware, LAN & WAN
Motivated and Adequately Trained Clinicians and Facility Staff
Interoperable, Scalable, Integrated, Extensible and Flexible and Inclusive CMIS Software Application
High Quality Data Products
CMIS Policies, Standard Operating Procedures, Guidelines and Training Manuals
Facility Level Staff Ownership and Willingness for CMIS
Data Management Warehouse and Business Intelligent
Routine
Data Quality Assessments and Data Quality Improvement
Practices
Regular Data Mining
Sound Analysis Plan
Information Use
Data Quality
Positive Health Outcomes

6. CMIS Areas of Operation
Patient Unique Identification & Registration System A
IT Network Infrastructure & Operations B
Electronic & Paper Based CMIS C
Policy, Guidelines & SOPs D
Human Resources E
Financial Resources F
Government & Partner Relations G
Communications H

7. HIS Concept of Operation

8. Concept of Operation at facility level: Real-time

9. CMIS Data Flow & Sharing Framework

10. CMIS DW and DHIS/DATIM data exchange
Facility Level
Regional Level
National Level
National Level
PEPFAR Level

11. CMIS and DHIS/DATIM data exchange technology & protocol
REST API
CSV
XML
Available options in CMIS for interoperability
Real-time update
FTP or File upload or Real-time
Data transfer state
External systems want consume information from CMIS
HL7
FTP or File upload
DATIM
LIS
DHIS 2

12. Data use at Facility level
This is for the use of data at facility level dashboards were the developed (CMIS & HMIS)
To improve data quality at Facility Level
Real time data access
Identification of gaps ASAP

13. Patients’ enrollment dashboard: At Facility Level

14. Facilities running CMIS in Swaziland

15. Progress Achieved as per FY 17 Target
Indicators
Baseline
FY YYYY
Annual Target Q1
FY17 Q2 Q3 Q4
Annual Performance Achieved to the End of Reporting Period (%)
On Target
Y/N
CMIS deployed and operational in 134 health facilities
Number of facilities with LAN
134
121
130
97% Y
Number of facilities with LAN & physical security in place 46 63 98
73%
Number of facilities with Complete Foundation in place; Server/PC hardware deployed 26 55 84
63%
Number of facilities with LAN & WAN in place 40 74 20
55% N
Number of facilities with LAN, WAN, & physical security in place 28 69
Number of facilities with foundation in place & server/hardware deployed and 90%+ of staff are trained 25 54

16. Progress Achieved as per FY 17 Target cont’d……..
Number of facilities LIVE on CMIS –Patient Registration only
134 20 44 80
60% Y
Number of facilities fully LIVE on CMIS 15 42
Number of clients registered in CMIS
80, 000
150,207
189,426
336, 333
 420.4%
Number of clients with UPID among those registered in CMIS
64, 000
93,627
115,113
196, 088
 306.4%
Number of PLHIV registered in CMIS
21,000
 13866
21,041
46,249
 220.2%
Estimated number of PLHIV knowing their status registered in CMIS
18,900
 9147
46,243
 244.7%
Number of PLHIV on ART registered in CMIS
17,010
11124
19731
44131
259.4 %
% of PLHIV known to be alive 12 months after initiation of antiretroviral therapy in CMIS
90%
98.01 %
98.91%
98.91 %
% of PLHIV on ART with suppressed VL registered in CMIS
92.42%
94.13 %
93.34%

17. Progress Achieved
Developed a Real time system that securely and accurately stores patient level data
Developed Dashboards which address specific challenges faced by target audience and enhances real time monitoring of operations at facility level
Strengthened Network infrastructure ( LAN and WAN)
Developed a Data Warehouse for data mining as a National Information Repository.
Capacity building of HMIS data management team on data utilization using Dashboards (on an online data sharing platform)

18. Current Innovations and Future Prospects
Current Innovations and Future Prospects
Real –Time data to management of Decision making.
Real-Time Dashboards are interactive thus enabling absolute control of data.
Secure access to health data
Solution Expansion: Data shall be automatically cleaned and staged on a data warehouse before being shared on an online data sharing platform (SharePoint)
Solution Expansion: Interfacing U-Report dashboards with SharePoint
Solution Expansion: Implementation of tracker indicators on already developed dashboards
Solution Expansion: Quality measurement/assurance mechanisms on dashboards
Solution Expansion: Built in data mining/data analysis on all standard indicators using the Data Warehouse

19. Thank You….