The document discusses the importance of routine health information systems for monitoring health goals in the post-2015 development agenda. It notes that facility-level data will be the primary source for monitoring 8 of the 26 SDG health indicators. However, current health information systems face challenges like poor data quality, lack of private sector data, and fragmented systems. New opportunities exist with advances in ICT and emphasis on accountability. The Health Data Collaborative aims to enhance coordination and efficiency across partners to strengthen country health information systems. This will help to integrate disease surveillance, align investments, develop standards, and build national capacity in data analysis and use.
MEASURE Evaluation’s Health Information System Strengthening ModelMEASURE Evaluation
This PowerPoint presentation provides an updated overview of MEASURE Evaluation’s Health Information System Strengthening Model, or the HISS Model. The slides describe the purpose of the model and each of the model’s areas and sub-areas.
Developing a Web-based Integrated Dashboard for Health Information Systems, D...JSI
Presentation for the American Public Health Association & Expo, Atlanta, GA. November 2017:
Purpose: To examine the process and impact of developing an integrated, web-based dashboard for Health Information Systems Data: With the technical assistance from the USAID funded Health Systems Strengthening (HSS) program implemented by JSI Research & Training Institute, Inc., the Sindh Department of Health has developed an integrated on-line health information dashboard, linking all vertical program Management and Information Systems (MIS), and documenting all Lady Health Workers (LHW). Methods: In addition to supporting dashboard development, HSS has focused on improving the quality of data that is being generated through the routine health information system. The approach adopted by HSS includes direct support to staff working at on-line data entry points so that accurate and complete information is recorded. HSS also provides infrastructure support to district M&E cells. Results: The dashboard consolidates data from existing DHIS, MNCH-MIS and other vertical programs databases, all of which are supervised by the district M&E Cells. This integrated dashboard serves as the provincial dashboard and is fully interoperable with the DHIS and M&E systems in Sindh. As the project has matured, data quality continues to be improved. Discussion and Policy Recommendations: This online system resulted in desk-based, real-time data monitoring, through data dashboards and visual displays. Currently, online data of all public health facilities and in all districts across Sindh province is in place, and is being used for decision making. Health managers can review the performance of each and every health facility and provide feedback to improve the quality of data for achieving the desired targets.
Information design is both a technical skill and an art form. To design great visualizations requires a diverse range of skill sets and a keen ability to understand the decisions to be made, the data available, the tools and platforms available for visualization design, and how to apply design best practices to create effective visualizations that communicate clearly. Even the most robust routine health information systems face challenges around how to visualize data in a way that facilitates decision-making by key stakeholders.
Information systems for health decision making - a citizen's perspectiveErdem Yazganoglu
We make health decisions everyday. We get our information from the Internet. As a society we are investing large amounts of funding for the health information systems. In this presentation, I tried to look from the perspective of a citizen and tried bringing a different perspective.
MEASURE Evaluation’s Health Information System Strengthening ModelMEASURE Evaluation
This PowerPoint presentation provides an updated overview of MEASURE Evaluation’s Health Information System Strengthening Model, or the HISS Model. The slides describe the purpose of the model and each of the model’s areas and sub-areas.
Developing a Web-based Integrated Dashboard for Health Information Systems, D...JSI
Presentation for the American Public Health Association & Expo, Atlanta, GA. November 2017:
Purpose: To examine the process and impact of developing an integrated, web-based dashboard for Health Information Systems Data: With the technical assistance from the USAID funded Health Systems Strengthening (HSS) program implemented by JSI Research & Training Institute, Inc., the Sindh Department of Health has developed an integrated on-line health information dashboard, linking all vertical program Management and Information Systems (MIS), and documenting all Lady Health Workers (LHW). Methods: In addition to supporting dashboard development, HSS has focused on improving the quality of data that is being generated through the routine health information system. The approach adopted by HSS includes direct support to staff working at on-line data entry points so that accurate and complete information is recorded. HSS also provides infrastructure support to district M&E cells. Results: The dashboard consolidates data from existing DHIS, MNCH-MIS and other vertical programs databases, all of which are supervised by the district M&E Cells. This integrated dashboard serves as the provincial dashboard and is fully interoperable with the DHIS and M&E systems in Sindh. As the project has matured, data quality continues to be improved. Discussion and Policy Recommendations: This online system resulted in desk-based, real-time data monitoring, through data dashboards and visual displays. Currently, online data of all public health facilities and in all districts across Sindh province is in place, and is being used for decision making. Health managers can review the performance of each and every health facility and provide feedback to improve the quality of data for achieving the desired targets.
Information design is both a technical skill and an art form. To design great visualizations requires a diverse range of skill sets and a keen ability to understand the decisions to be made, the data available, the tools and platforms available for visualization design, and how to apply design best practices to create effective visualizations that communicate clearly. Even the most robust routine health information systems face challenges around how to visualize data in a way that facilitates decision-making by key stakeholders.
Information systems for health decision making - a citizen's perspectiveErdem Yazganoglu
We make health decisions everyday. We get our information from the Internet. As a society we are investing large amounts of funding for the health information systems. In this presentation, I tried to look from the perspective of a citizen and tried bringing a different perspective.
Utility and Added Value of Classifications in Health Information SystemsBedirhan Ustun
Health Information Systems; ICD, ICD11, SNOMED-CT, Use Cases showing benefits of use of classification- terminology systems; avoid and e-tower of Babel; electronic health record, Enhance Patient Care, Decision Support, Safety & Quality
The impact of eHealth on Healthcare Professionals and Organisations: Health Information Management Systems in Modern Health Care. Shemer J. eHealth week 2010 (Barcelona: CCIB Convention Centre; 2010)
The Thailand HiT reports that sustained political commitment to the health of the population since the 1970s has resulted in significant investment in health infrastructure, in particular primary health care, district and provincial referral hospitals, and strengthened the overall functioning of the Thai health system. After Thailand achieved universal health coverage in 2002, public expenditure on health significantly increased from 63% to 77% and out-of-pocket expense was reduced from 27.2% to 12.4% of the total health spending in 2011.
Decentralization in Health Care – is there evidence for it?
Guest lecture at School of Public Health, National University of Kyiv-Mohyla Academy
by Axel Hoffmann, PhD
Swiss Tropical and Public Health Institute
An updated introduction to the PaRIS project, why it matters, how it works, its timeline, and the key issues it addresses. Contact us at paris_survey@oecd.org to learn more.
BRIEF COMMENTARY: USING A LOGIC MODEL TO INTEGRATE PUBLIC HEALTH INFORMATICS ...hiij
The COVID-19 pandemic has been a watershed moment in public health surveillance, highlighting the
crucial role of data-driven insights in informing health actions and policies. Revisiting key concepts—
public health, epidemiology in public health practice, public health surveillance, and public health
informatics—lays the foundation for understanding how these elements converge to create a robust public
health surveillance system framework. Especially during the COVID-19 pandemic, this integration was
exemplified by the WHO efforts in data dissemination and the subsequent global response. The role of
public health informatics emerged as instrumental in this context, enhancing data collection, management,
analysis, interpretation, and dissemination processes. A logic model for public health surveillance systems
encapsulates the integration of these concepts. It outlines the inputs and outcomes and emphasizes the
crucial actions and resources for effective system operation, including the imperative of training and
capacity development.
Similar to The Role of Routine Health Information Systems in the Post-2015 Development Agenda (20)
As countries continue to invest and make strides toward achieving the SDGs and universal health coverage, strong routine health information systems (RHIS) are fundamental to the effort. Well-functioning RHIS provide a wealth of data on a country’s health system, including service delivery, availability of a trained workforce, and reach of interventions, that can be harnessed to identify gaps and support evidence-based decision making. Yet, while many low-to-middle income (LMIC) countries have established a national RHIS structure, there are existing challenges related to the availability, analysis, and use of the data that have yet to be addressed.
As countries continue to invest and make strides toward achieving the SDGs and universal health coverage, strong routine health information systems (RHIS) are fundamental to the effort. Well-functioning RHIS provide a wealth of data on a country’s health system, including service delivery, availability of a trained workforce, and reach of interventions, that can be harnessed to identify gaps and support evidence-based decision making. Yet, while many low-to-middle income (LMIC) countries have established a national RHIS structure, there are existing challenges related to the availability, analysis, and use of the data that have yet to be addressed.
Kickoff webinar slides from the Spring 2016 RHINO forum on health worker information systems, presented by Carl Leitner and Amanda Puckett BenDor from Intrahealth
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Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
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2. Comparing various launch configs for CUDA based vector multiply.
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Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
【社内勉強会資料_Octo: An Open-Source Generalist Robot Policy】
The Role of Routine Health Information Systems in the Post-2015 Development Agenda
1. The role of routine health information systems in the post 2015 development agenda1 |
The role of Routine Health Information
Systems
in the post-2015 development agenda
Vancouver. November 2016
2. The role of routine health information systems in the post 2015 development agenda2 |
New information demands on the post 2015 agenda
Only in 2016, 18 countries of the WHO AFRO
region were developing the M&E plan of the
national health strategy
3. The role of routine health information systems in the post 2015 development agenda3 |
Why is facility data important in the post 2015
context ?
Continuous; only source
Subnational; Important equity dimension;
Multiple uses – Programme management,
performance monitoring, quality of care,
disease surveillance, health system
performance assessment
Examples of facility-based indicators
Availability of essential medicines,
commodities; & stock outs;
Service availability & readiness
(interventions offered, & adherence to
standards of care)
TB treatment success rate, ART
retention; Client satisfaction
Coverage : FP use, antenatal care,
PMTCT, postnatal care, delivery,
immunization, vitamin A, ART
Leading OPD diagnosis, malaria case
rates (lab confirmation); TB
notification;
Hospital mortality and causes of death
For 8 out of 26 of the indicators of the SDG-3,
the preferred source of data is facility level
data
4. The role of routine health information systems in the post 2015 development agenda4 |
Sustainable development goals 3: HEALTH CRVS Survey Facility Other
Maternal mortality ratio X X (X) Sampling,
sentinel sites
Skilled birth attendants X X
Under-5 mortality rate X X
Neonatal mortality rate X X
Number of new HIV infections per 1,000 X surveillance Spectrum
TB incidence per 1,000 population X surveillance
Malaria incidence per 1,000 surveillance
Hepatitis B incidence per 100,000 population X
Number of people requiring specific interventions against NTDs estimation
Mortality rate from cardiovascular
diseases, cancer, diabetes or chronic respiratory diseases
X X
Suicide mortality rate X special studies
Treatment coverage for substance abuse disorders
Alcohol per capita consumption X administrative
Death rate due to traffic road accidents X
Family planning coverage rate X X
Adolescent birth rate per 1,000 women X X
Coverage of essential health services X X
Number of people covered by a health insurance or public health system per 1,000
population
Mortality rate attributed to household and ambient air pollution X
Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene X
Mortality rate attributed to unintentional poisoning X
Prevalence of tobacco use 15 years + X
Access to affordable medicines and vaccines on a sustainable basis X facility surveys
Total net ODA to medical research and basic health sectors
Health worker density and distribution Health worker
registry
IHR capacity and health emergency preparedness Key informants
5. UHC tracer indicators Surveys Facility Others
1. RMNCH
1. Family planning coverage X X
2. ANC4 X X
3. Immunization coverage X X
4. Care seeking for pneumonia X
2. Infectious disease control
1. TB cases detected and treated X surveillance
2. HIV receiving ART X
3. Insecticide treated bed nets X
4. Improved sanitation X
3. Noncommunicable diseases
1. (Non)-Elevated blood pressure in adults X (X)
2. (Non)-Elevated blood glucose in adults X (X)
3. Cervical cancer screening X X
4. Non-use of tobacco X
4. Service capacity and access
1. Inpatient admissions rate X
2. Health professionals per capita X
3. Availability of essential medicines X (HFAs)
4. IHR core capacity index Key
informants
NOTE: blood
pressure and
blood glucose
likely will
change to
treatment of
BP and
diabetes
6. The role of routine health information systems in the post 2015 development agenda6 |
What are the major challenges /gaps?
Data quality inadequate
Private sector often not captured
Key data gaps/challenges
Hospital reporting of deaths,
causes
quality of care
Community service delivery
Poor analytical capacity and use
DISAGGREGATION AND EQUITY
Parallel vertical systems
Separate, single-topic facility
surveys
Fragmented, unconnected,
unsustainable systems
Mushrooming of indicators; Heavy
burden on health workers
Duplication & inefficient
investments
7. The role of routine health information systems in the post 2015 development agenda7 |
In Cambodia, the Time and Motion study identified 20 monthly forms out of 44
reporting forms are in use and require a total of 45 hours per month to complete -
the HC Monthly requires 21 hours on its own
8. The role of routine health information systems in the post 2015 development agenda8 |
In Sierra Leone, there are >15 information systems collecting information routinely
from facility and community level. Systems are not interoperable nor integrated
currently.
Source: Sierra Leone Health Information Systems Interoperability Meeting 24 August 2016 | Bintumani Hotel
9. The role of routine health information systems in the post 2015 development agenda9 |
What are the opportunities & innovations?
Growing demand for
accountability & better
results
Major growth in
innovations in ICTS
Advances in data
standards & methods,
survey tools
Web-based facility systems- (e.g DHIS 2.0)
Electronic health records - (e.g. ART, TB patient
monitoring)
Mobile devices to manage stock outs of
medicines (e.g Rapid SMS); notification of
events
Automated systems for coding of cause of
death (e. IRIS, CODEIT)
Visualization tools & analytics, scorecards,
dashboards, observatories
Rapid tools for assessing service delivery &
quality eg SARA, SDI SPA)
10. The role of routine health information systems in the post 2015 development agenda10 |
The Heath Data Collaborative
January 2015 June 2015 September 2015 January 2016 March 2016
Draft roadmap
for measuring
health SDGs
M4Health
Summit:
5 point call to
action
Global Health
Agency Leaders
meeting
Calls for
agencies to
develop joint
plan to support
countries
HDC operational
work-plan scope
and key
deliverables
agreed
HDC launch at
UN Statistical
Commission
with over 32
partner
commitments
11. 11
The approach: to enhance efficiency of current investments in
health information systems
CHANGING THE WAY WE WORK TOGETHER
12. Measurement and accountability for health:
The role of health facility information systems in the post 2015 development agenda12 |
Country & regional platforms
Existing collaborative platforms
HDC Working Groups
Operating through thematic technical Working Groups
13. 13
1. Review, harmonize & disseminate standards for improved facility and
community based reporting
2. Identify ways in which investments in HMIS can be better aligned to ensure
scale-able integrated, sustainable systems
3. Identify & agree on protocols and standards for integrating disease surveillance
into routine HMIS
4. Catalyse joint support to countries to scale up and strengthen integrated facility
systems, based on international standards and good governance
5. Joint support for analysis and use of facility data for action
Global deliverables
•Package of data standards & tools -
indicators, metadata, data quality, ICD
coding, master facility lists, analytical
outputs, template forms, open access
•Standards & protocols for integrating
disease surveillance into routine HMIS
•A joint investment plan for DHIS 2.0
development, implementation and
maintenance
Country deliverables
•Aligned support to scale up and strengthen
integrated facility based health information
systems, including IDSR, based on
international standards
•Documented country best practices &
guidance for sound governance
Technical working group on routine health information systems
Scope of work
14. Measurement and accountability for health:
The role of health facility information systems in the post 2015 development agenda14 |
Significant uptake by
countries for monitoring
national health sector
performance
Aligned with health SDGs
monitoring agenda, UHC
2030, Global Strategy for
Women, Adolescents &
Children, NCD
monitoring..
2016 update due by end
of year
Global Reference List of 100 Core Health Indicators
15. Measurement and accountability for health:
The role of health facility information systems in the post 2015 development agenda15 |
Progress:
More and more programmes
& countries moving towards
DHIS 2 platform
Partners begin working on
joint investment & core
functional requirements
But .. much more required :
− to establish sound
governance at country level
− To integrate public heath
surveillance into RHIS
− To build adequate capacity in
analysis and use
From vertical reporting systems
… towards a common data platform
16. Measurement and accountability for health:
The role of health facility information systems in the post 2015 development agenda16 |
“Monitoring the Global Strategy requires substantial
investments in data collection, compilation, analysis,
communication and use in countries. The Health Data
Collaborative and others must play a critical role to:
•Advocate for and invest in strengthening CRVS
systems through the CRVS window of the Global
Financing Facility;
•Ensure every country has a regular programme of
health surveys;
•Focus on disaggregated data to address equity and
human rights considerations so that no one is left
behind:
•Improve monitoring of health system resources such
as financing, workforce and access to medicines”
Progress:
Joint curriculum developed with
other tools including data quality
review, analyses, best practices for
governance
Combining efforts to build regional
networks in data analysis & use
But :
− Much more needed to avoid
development of separate tools &
guidance & capacity building
programmes
Joint curriculum on data analysis & use
Working together to build institutional capacity
17. Measurement and accountability for health:
The role of health facility information systems in the post 2015 development agenda17 |
……… ON-SITE DATA VERIFICATION
(OSDV) ……….
From multiple disease-specific data quality tools
… to a harmonized approach
18. Measurement and accountability for health:
The role of health facility information systems in the post 2015 development agenda18 |
ALL STAKEHOLDERS SUPPORTING
KENYA’S M&E PRIORITIES
•Data analytics capacity
•Quality of Care
•Kenya Health Observatory
•CRVS
•Mid-term review
“WE NOW EXPECT ALL HEALTH
DATA COLLABORATIVE PARTNERS
TO PULL IN THE SAME
DIRECTION.”
Dr Nicholas Muraguri, Principal
Secretary, Kenya MOH
Kenya Health Data Collaborative
(launched May 2016)
19. Measurement and accountability for health:
The role of health facility information systems in the post 2015 development agenda19 |
Role of regional networks
Promote peer learning and review
Promoting a culture of data use in countries
Roll-out public goods to country level- need of
strong global and regional networks
What is next ?
Some Health Data Collaborative progress
• Inter country conference on measurement. AeHIN
(Bangladesh, April 2016)
• African Regional Health and Accountability Dialogue
(Lagos, 2016)
• BIG (Better use, Improved action, Good data) campaign
• West and Central Africa work on DHIS2
21. Thank you
WHO. Global Platform for Measurement and
Accountability
Kathy O’Neill- Unit coordinator oneillk@who.int
Eduardo Celades- Technical officer celadese@who.int
Maki Kitamura- Communications officer kitamuram@who.int