SlideShare a Scribd company logo
1 of 1
Introduction Methods Results
Conclusions
The Pan American Health Organization
(PAHO) collects, analyzes, and synthesizes
a large amount of health and health-related
data from Member States.
Data are often collected by individual
departments on specific health topics and
kept in multiple data sources. Users often
find it difficult to identify and access the
data they need to answer specific
questions.
In addition, the increasing demand for
health information in the context of the
scaling up for better health requires a
flexible and dynamic approach for
analyzing, synthesizing, and
communicating relevant information to
users.
The design, development and
implementation of the PAHO Health
Information Platform (PHIP) as a solution
to above mentioned problems is presented.
Data collection, flows, cleaning,
integration, storage, reporting and
managements processes and analytics
requirements were elicited.
Based on requirements and specifications,
the platform was architected as described
in Figure 1.
The PHIP Information Technology
infrastructure was designed, installed and
setup based on its IT architecture,
illustrated in Figure 2.
PHIP is the solution for:
• integrating data from technical areas
and programs across the Organization
• facilitating access to health data for
analysis
• elaborating and disseminating
information products and providing
health information and evidence to
Member States, policymakers and the
public;
• applying a more efficient and effective
way to communicate relevant
information to users
1. Regional Mortality database.
2. Health Indicators database.
3. Global Tuberculosis database.
4. Population, UN Population
Division.
5. World Development Indicators
(WDI), World Bank
6. International Development
Assistance for Health, OECD and
IHME.
Available databases
The Pan American Health Organization’s
Health Information and Intelligence Platform:
supporting decision making in public health
Ramon Martinez-Piedra,
Pan American Health Organization (PAHO-WHO).
MEETING OF THE WHO COLLABORATING CENTRES FOR THE FAMILY OF INTERNATIONAL CLASSIFICATIONS
PHIP Definition:
Organization-wide Health Information
System responsible for integrating,
storing, processing and make available the
health data, statistics and information.
Solution for data integration from
heterogeneous source system
databases, including areas and
programs across the Organization and
countries.
Information system that:
• allows access to available data, and
metadata dictionary
• provides valid, consistent and reliable
data, which are ready to use for
reporting and analysis
• provides fast visual analytic tools to
facilitate health analysis
• facilitate the publication of analytic
reports and visualizations
• facilitate access to analytic reports,
visualizations
Multiple data sources were integrated in a
data warehouse using a data integration
service. The data warehouse is accessible
to health professionals and analysts within
the Organization.
Tableau Software –Tableau Server and
Tableau Desktop– was implemented as a
BI solution to provide fast and visual
analysis capacity using large databases.
Methods
Figure 1. PHIP Architecture
Figure 2. PHIP IT Infrastructure
Results
Integrated health data are available and
ready to be used for more comprehensive
analysis by health analysts within the
Organization.
The visual and fast analytic approach
-implemented in PHIP- allows health
analysts to explore large and complex
datasets, understanding and unveiling data
patterns, and enabling ad-hoc data
exploration and analysis. Some data
visualizations are illustrated in Figure 3, 4
and 5.
Figure 4. Deaths by group of causes and
Income
Figure 3. Leading causes of death
PHIP also facilitates the elaboration and
publication of interactive and rich reports,
data visualizations and dashboards.
High interactivity is a feature of every
information products, allowing end-users
to ask questions and get answers while
exploring them.
Figure 5. Health Indicators Atlas
For more information visit the PAHO Regional Health Observatory http:www.paho.org/rho
email: martiner@paho.org
13 – 19 October 2012
Brasilia, Brazil
Abstract This poster presents the design and implementation of PAHO’s Health Information and Intelligence Platform (PHIP), an
organization-wide resource that provides public health data, analytical methods and tools and information to support decision-
making within PAHO. PHIP also provides information products and evidence to national health authorities from countries of the
Americas, health professionals and the general public.
C606

More Related Content

What's hot

Tracking Mother-Infant Pairs across the Cascade of the Prevention of Mother-t...
Tracking Mother-Infant Pairs across the Cascade of the Prevention of Mother-t...Tracking Mother-Infant Pairs across the Cascade of the Prevention of Mother-t...
Tracking Mother-Infant Pairs across the Cascade of the Prevention of Mother-t...MEASURE Evaluation
 
Digitized health
Digitized healthDigitized health
Digitized healthFrank Wang
 
Brendan Delany – Chair in Medical Informatics and Decision Making, Imperial...
  Brendan Delany – Chair in Medical Informatics and Decision Making, Imperial...  Brendan Delany – Chair in Medical Informatics and Decision Making, Imperial...
Brendan Delany – Chair in Medical Informatics and Decision Making, Imperial...HIMSS UK
 
Musadiq Subar, IT Programme Manager and Clinical Technical Architect
Musadiq Subar, IT Programme Manager and Clinical Technical ArchitectMusadiq Subar, IT Programme Manager and Clinical Technical Architect
Musadiq Subar, IT Programme Manager and Clinical Technical ArchitectHIMSS UK
 
Stephen Lieber – President and CEO, HIMSS
Stephen Lieber – President and CEO, HIMSS Stephen Lieber – President and CEO, HIMSS
Stephen Lieber – President and CEO, HIMSS HIMSS UK
 
Consumers' Checkbook Submission to RWJF & HHS Provider Network Challenge
Consumers' Checkbook Submission to RWJF & HHS Provider Network ChallengeConsumers' Checkbook Submission to RWJF & HHS Provider Network Challenge
Consumers' Checkbook Submission to RWJF & HHS Provider Network Challengehealth2dev
 
Direct Boot Camp 2 0 Federal Agency requirements for exchange via direct
Direct Boot Camp 2 0 Federal Agency requirements for exchange via directDirect Boot Camp 2 0 Federal Agency requirements for exchange via direct
Direct Boot Camp 2 0 Federal Agency requirements for exchange via directBrian Ahier
 
DocSpot Plan Compare
DocSpot Plan CompareDocSpot Plan Compare
DocSpot Plan Comparehealth2dev
 
Tools to Drive Enrollment OCT Arena-Boston-2015
Tools to Drive Enrollment OCT Arena-Boston-2015Tools to Drive Enrollment OCT Arena-Boston-2015
Tools to Drive Enrollment OCT Arena-Boston-2015Dan Diaz
 
Health Information Analytics Courseware
Health Information Analytics CoursewareHealth Information Analytics Courseware
Health Information Analytics CoursewareFrank Wang
 
UCSF Informatics Day 2014 - Doug Berman, "A Brief Tour of UCSF’s Clinical Dat...
UCSF Informatics Day 2014 - Doug Berman, "A Brief Tour of UCSF’s Clinical Dat...UCSF Informatics Day 2014 - Doug Berman, "A Brief Tour of UCSF’s Clinical Dat...
UCSF Informatics Day 2014 - Doug Berman, "A Brief Tour of UCSF’s Clinical Dat...CTSI at UCSF
 
Population Health Management
Population Health ManagementPopulation Health Management
Population Health ManagementShaheen Gauher
 
Application of data science in healthcare
Application of data science in healthcareApplication of data science in healthcare
Application of data science in healthcareShreyaPai7
 
Interoperability in health care information systems
Interoperability in health care information systemsInteroperability in health care information systems
Interoperability in health care information systemsAlexander Ask
 
RHINO Interoperability Forum Kickoff 09-20
RHINO Interoperability Forum Kickoff 09-20RHINO Interoperability Forum Kickoff 09-20
RHINO Interoperability Forum Kickoff 09-20Aimee Hess
 

What's hot (20)

Tracking Mother-Infant Pairs across the Cascade of the Prevention of Mother-t...
Tracking Mother-Infant Pairs across the Cascade of the Prevention of Mother-t...Tracking Mother-Infant Pairs across the Cascade of the Prevention of Mother-t...
Tracking Mother-Infant Pairs across the Cascade of the Prevention of Mother-t...
 
Digitized health
Digitized healthDigitized health
Digitized health
 
Brendan Delany – Chair in Medical Informatics and Decision Making, Imperial...
  Brendan Delany – Chair in Medical Informatics and Decision Making, Imperial...  Brendan Delany – Chair in Medical Informatics and Decision Making, Imperial...
Brendan Delany – Chair in Medical Informatics and Decision Making, Imperial...
 
Musadiq Subar, IT Programme Manager and Clinical Technical Architect
Musadiq Subar, IT Programme Manager and Clinical Technical ArchitectMusadiq Subar, IT Programme Manager and Clinical Technical Architect
Musadiq Subar, IT Programme Manager and Clinical Technical Architect
 
Clinical Informatics: Education, Experience, Expectations
Clinical Informatics: Education, Experience, ExpectationsClinical Informatics: Education, Experience, Expectations
Clinical Informatics: Education, Experience, Expectations
 
Stephen Lieber – President and CEO, HIMSS
Stephen Lieber – President and CEO, HIMSS Stephen Lieber – President and CEO, HIMSS
Stephen Lieber – President and CEO, HIMSS
 
Predictive Health Population Analytics
Predictive Health Population AnalyticsPredictive Health Population Analytics
Predictive Health Population Analytics
 
NARDA
NARDANARDA
NARDA
 
Consumers' Checkbook Submission to RWJF & HHS Provider Network Challenge
Consumers' Checkbook Submission to RWJF & HHS Provider Network ChallengeConsumers' Checkbook Submission to RWJF & HHS Provider Network Challenge
Consumers' Checkbook Submission to RWJF & HHS Provider Network Challenge
 
Direct Boot Camp 2 0 Federal Agency requirements for exchange via direct
Direct Boot Camp 2 0 Federal Agency requirements for exchange via directDirect Boot Camp 2 0 Federal Agency requirements for exchange via direct
Direct Boot Camp 2 0 Federal Agency requirements for exchange via direct
 
HEALTHCARE_IT
HEALTHCARE_ITHEALTHCARE_IT
HEALTHCARE_IT
 
DocSpot Plan Compare
DocSpot Plan CompareDocSpot Plan Compare
DocSpot Plan Compare
 
Tools to Drive Enrollment OCT Arena-Boston-2015
Tools to Drive Enrollment OCT Arena-Boston-2015Tools to Drive Enrollment OCT Arena-Boston-2015
Tools to Drive Enrollment OCT Arena-Boston-2015
 
Vericred
VericredVericred
Vericred
 
Health Information Analytics Courseware
Health Information Analytics CoursewareHealth Information Analytics Courseware
Health Information Analytics Courseware
 
UCSF Informatics Day 2014 - Doug Berman, "A Brief Tour of UCSF’s Clinical Dat...
UCSF Informatics Day 2014 - Doug Berman, "A Brief Tour of UCSF’s Clinical Dat...UCSF Informatics Day 2014 - Doug Berman, "A Brief Tour of UCSF’s Clinical Dat...
UCSF Informatics Day 2014 - Doug Berman, "A Brief Tour of UCSF’s Clinical Dat...
 
Population Health Management
Population Health ManagementPopulation Health Management
Population Health Management
 
Application of data science in healthcare
Application of data science in healthcareApplication of data science in healthcare
Application of data science in healthcare
 
Interoperability in health care information systems
Interoperability in health care information systemsInteroperability in health care information systems
Interoperability in health care information systems
 
RHINO Interoperability Forum Kickoff 09-20
RHINO Interoperability Forum Kickoff 09-20RHINO Interoperability Forum Kickoff 09-20
RHINO Interoperability Forum Kickoff 09-20
 

Similar to C606 the pan american health organizations health information and intelligence platform-supporting decision making in public health

IRJET- A Survey on Big Data Frameworks and Approaches in Health Care Sector
IRJET- A Survey on Big Data Frameworks and Approaches in Health Care SectorIRJET- A Survey on Big Data Frameworks and Approaches in Health Care Sector
IRJET- A Survey on Big Data Frameworks and Approaches in Health Care SectorIRJET Journal
 
STATISCAL PAKAGE.pptx
STATISCAL PAKAGE.pptxSTATISCAL PAKAGE.pptx
STATISCAL PAKAGE.pptxBasitRamzan1
 
Introduction to Routine Health Information System Slides
Introduction to Routine Health Information System SlidesIntroduction to Routine Health Information System Slides
Introduction to Routine Health Information System SlidesSaide OER Africa
 
BME 307 - HMIS - Data Management Systems 24112021 Final.pdf
BME 307 - HMIS - Data Management Systems 24112021 Final.pdfBME 307 - HMIS - Data Management Systems 24112021 Final.pdf
BME 307 - HMIS - Data Management Systems 24112021 Final.pdfedwardlowassa1
 
UoA Health Informatics Stakeholder Register.docx
UoA Health Informatics Stakeholder Register.docxUoA Health Informatics Stakeholder Register.docx
UoA Health Informatics Stakeholder Register.docxwrite4
 
Toward a FAIR Biomedical Data Ecosystem
Toward a FAIR Biomedical Data EcosystemToward a FAIR Biomedical Data Ecosystem
Toward a FAIR Biomedical Data EcosystemGlobus
 
Developing evaluation framework for clinical information systems and incorpor...
Developing evaluation framework for clinical information systems and incorpor...Developing evaluation framework for clinical information systems and incorpor...
Developing evaluation framework for clinical information systems and incorpor...inderjyot singh
 
Shanghai health bureau_big_data_healthcare
Shanghai health bureau_big_data_healthcareShanghai health bureau_big_data_healthcare
Shanghai health bureau_big_data_healthcarexband
 
Bangladesh Health Information System Mapping Analysis
Bangladesh Health Information System Mapping AnalysisBangladesh Health Information System Mapping Analysis
Bangladesh Health Information System Mapping AnalysisGolam Kibria Madhurza
 
1. Outline three different applications and explain the utilizatio.docx
1. Outline three different applications and explain the utilizatio.docx1. Outline three different applications and explain the utilizatio.docx
1. Outline three different applications and explain the utilizatio.docxpaynetawnya
 
BRIEF COMMUNICATIONS DATA HYGIENE: IMPORTANT STEP IN DECISIONMAKING WITH IMPL...
BRIEF COMMUNICATIONS DATA HYGIENE: IMPORTANT STEP IN DECISIONMAKING WITH IMPL...BRIEF COMMUNICATIONS DATA HYGIENE: IMPORTANT STEP IN DECISIONMAKING WITH IMPL...
BRIEF COMMUNICATIONS DATA HYGIENE: IMPORTANT STEP IN DECISIONMAKING WITH IMPL...hiij
 
BRIEF COMMUNICATIONS DATA HYGIENE: IMPORTANT STEP IN DECISIONMAKING WITH IMPL...
BRIEF COMMUNICATIONS DATA HYGIENE: IMPORTANT STEP IN DECISIONMAKING WITH IMPL...BRIEF COMMUNICATIONS DATA HYGIENE: IMPORTANT STEP IN DECISIONMAKING WITH IMPL...
BRIEF COMMUNICATIONS DATA HYGIENE: IMPORTANT STEP IN DECISIONMAKING WITH IMPL...hiij
 
What's Next: What's Next: Healthcare Marketing Cloud ft. Tripl
What's Next: What's Next: Healthcare Marketing Cloud ft. TriplWhat's Next: What's Next: Healthcare Marketing Cloud ft. Tripl
What's Next: What's Next: Healthcare Marketing Cloud ft. TriplOgilvy Consulting
 
This assignment facilitates comprehensive knowledge transfer in .docx
This assignment facilitates comprehensive knowledge transfer in .docxThis assignment facilitates comprehensive knowledge transfer in .docx
This assignment facilitates comprehensive knowledge transfer in .docxdunningblair
 
Three Must-Haves for a Successful Healthcare Data Strategy
Three Must-Haves for a Successful Healthcare Data StrategyThree Must-Haves for a Successful Healthcare Data Strategy
Three Must-Haves for a Successful Healthcare Data StrategyHealth Catalyst
 
C603 regional health observatory-its role in the generation and dissemination...
C603 regional health observatory-its role in the generation and dissemination...C603 regional health observatory-its role in the generation and dissemination...
C603 regional health observatory-its role in the generation and dissemination...Ramon Martinez
 
Data in PACE and How it Relates to the World
Data in PACE and How it Relates to the WorldData in PACE and How it Relates to the World
Data in PACE and How it Relates to the WorldAmeeta Mistry
 
The High Quality Data Gathering System Essay
The High Quality Data Gathering System EssayThe High Quality Data Gathering System Essay
The High Quality Data Gathering System EssayDivya Watson
 
Big Data Mining Methods in Medical Applications [Autosaved].pptx
Big Data Mining Methods in Medical Applications [Autosaved].pptxBig Data Mining Methods in Medical Applications [Autosaved].pptx
Big Data Mining Methods in Medical Applications [Autosaved].pptxHemaSenthil5
 

Similar to C606 the pan american health organizations health information and intelligence platform-supporting decision making in public health (20)

IRJET- A Survey on Big Data Frameworks and Approaches in Health Care Sector
IRJET- A Survey on Big Data Frameworks and Approaches in Health Care SectorIRJET- A Survey on Big Data Frameworks and Approaches in Health Care Sector
IRJET- A Survey on Big Data Frameworks and Approaches in Health Care Sector
 
STATISCAL PAKAGE.pptx
STATISCAL PAKAGE.pptxSTATISCAL PAKAGE.pptx
STATISCAL PAKAGE.pptx
 
Introduction to Routine Health Information System Slides
Introduction to Routine Health Information System SlidesIntroduction to Routine Health Information System Slides
Introduction to Routine Health Information System Slides
 
BME 307 - HMIS - Data Management Systems 24112021 Final.pdf
BME 307 - HMIS - Data Management Systems 24112021 Final.pdfBME 307 - HMIS - Data Management Systems 24112021 Final.pdf
BME 307 - HMIS - Data Management Systems 24112021 Final.pdf
 
UoA Health Informatics Stakeholder Register.docx
UoA Health Informatics Stakeholder Register.docxUoA Health Informatics Stakeholder Register.docx
UoA Health Informatics Stakeholder Register.docx
 
Toward a FAIR Biomedical Data Ecosystem
Toward a FAIR Biomedical Data EcosystemToward a FAIR Biomedical Data Ecosystem
Toward a FAIR Biomedical Data Ecosystem
 
Developing evaluation framework for clinical information systems and incorpor...
Developing evaluation framework for clinical information systems and incorpor...Developing evaluation framework for clinical information systems and incorpor...
Developing evaluation framework for clinical information systems and incorpor...
 
Shanghai health bureau_big_data_healthcare
Shanghai health bureau_big_data_healthcareShanghai health bureau_big_data_healthcare
Shanghai health bureau_big_data_healthcare
 
Health Information Technology Workforce Development Program Presentation
Health Information Technology Workforce Development Program PresentationHealth Information Technology Workforce Development Program Presentation
Health Information Technology Workforce Development Program Presentation
 
Bangladesh Health Information System Mapping Analysis
Bangladesh Health Information System Mapping AnalysisBangladesh Health Information System Mapping Analysis
Bangladesh Health Information System Mapping Analysis
 
1. Outline three different applications and explain the utilizatio.docx
1. Outline three different applications and explain the utilizatio.docx1. Outline three different applications and explain the utilizatio.docx
1. Outline three different applications and explain the utilizatio.docx
 
BRIEF COMMUNICATIONS DATA HYGIENE: IMPORTANT STEP IN DECISIONMAKING WITH IMPL...
BRIEF COMMUNICATIONS DATA HYGIENE: IMPORTANT STEP IN DECISIONMAKING WITH IMPL...BRIEF COMMUNICATIONS DATA HYGIENE: IMPORTANT STEP IN DECISIONMAKING WITH IMPL...
BRIEF COMMUNICATIONS DATA HYGIENE: IMPORTANT STEP IN DECISIONMAKING WITH IMPL...
 
BRIEF COMMUNICATIONS DATA HYGIENE: IMPORTANT STEP IN DECISIONMAKING WITH IMPL...
BRIEF COMMUNICATIONS DATA HYGIENE: IMPORTANT STEP IN DECISIONMAKING WITH IMPL...BRIEF COMMUNICATIONS DATA HYGIENE: IMPORTANT STEP IN DECISIONMAKING WITH IMPL...
BRIEF COMMUNICATIONS DATA HYGIENE: IMPORTANT STEP IN DECISIONMAKING WITH IMPL...
 
What's Next: What's Next: Healthcare Marketing Cloud ft. Tripl
What's Next: What's Next: Healthcare Marketing Cloud ft. TriplWhat's Next: What's Next: Healthcare Marketing Cloud ft. Tripl
What's Next: What's Next: Healthcare Marketing Cloud ft. Tripl
 
This assignment facilitates comprehensive knowledge transfer in .docx
This assignment facilitates comprehensive knowledge transfer in .docxThis assignment facilitates comprehensive knowledge transfer in .docx
This assignment facilitates comprehensive knowledge transfer in .docx
 
Three Must-Haves for a Successful Healthcare Data Strategy
Three Must-Haves for a Successful Healthcare Data StrategyThree Must-Haves for a Successful Healthcare Data Strategy
Three Must-Haves for a Successful Healthcare Data Strategy
 
C603 regional health observatory-its role in the generation and dissemination...
C603 regional health observatory-its role in the generation and dissemination...C603 regional health observatory-its role in the generation and dissemination...
C603 regional health observatory-its role in the generation and dissemination...
 
Data in PACE and How it Relates to the World
Data in PACE and How it Relates to the WorldData in PACE and How it Relates to the World
Data in PACE and How it Relates to the World
 
The High Quality Data Gathering System Essay
The High Quality Data Gathering System EssayThe High Quality Data Gathering System Essay
The High Quality Data Gathering System Essay
 
Big Data Mining Methods in Medical Applications [Autosaved].pptx
Big Data Mining Methods in Medical Applications [Autosaved].pptxBig Data Mining Methods in Medical Applications [Autosaved].pptx
Big Data Mining Methods in Medical Applications [Autosaved].pptx
 

More from Ramon Martinez

Visualizando la prevalencia de HIV en el Mundo
Visualizando la prevalencia de HIV en el MundoVisualizando la prevalencia de HIV en el Mundo
Visualizando la prevalencia de HIV en el MundoRamon Martinez
 
Indigenous mortality and inequalities in Latin America
Indigenous mortality and inequalities in Latin AmericaIndigenous mortality and inequalities in Latin America
Indigenous mortality and inequalities in Latin AmericaRamon Martinez
 
Uru mort materna 12 de set 2011
Uru mort materna 12 de set 2011Uru mort materna 12 de set 2011
Uru mort materna 12 de set 2011Ramon Martinez
 
Mortalidad materna 2 ha
Mortalidad materna 2 haMortalidad materna 2 ha
Mortalidad materna 2 haRamon Martinez
 
Mortalidad materna 1 ha
Mortalidad materna 1 haMortalidad materna 1 ha
Mortalidad materna 1 haRamon Martinez
 
Mexbúsqueda m maternas sep2011
Mexbúsqueda m maternas sep2011Mexbúsqueda m maternas sep2011
Mexbúsqueda m maternas sep2011Ramon Martinez
 
Cri reunión montevideo
Cri reunión montevideoCri reunión montevideo
Cri reunión montevideoRamon Martinez
 
Chile investigacion de muertes maternas reunión mortalidad materna ops 2011
Chile investigacion de muertes maternas reunión mortalidad materna ops 2011Chile investigacion de muertes maternas reunión mortalidad materna ops 2011
Chile investigacion de muertes maternas reunión mortalidad materna ops 2011Ramon Martinez
 
Brasil investigacion de las muertes maternas
Brasil investigacion de las muertes maternasBrasil investigacion de las muertes maternas
Brasil investigacion de las muertes maternasRamon Martinez
 
Cc01 ops calidad_informacion
Cc01 ops calidad_informacionCc01 ops calidad_informacion
Cc01 ops calidad_informacionRamon Martinez
 
Cc01 ops diagnostico_capacitacion_fci
Cc01 ops diagnostico_capacitacion_fciCc01 ops diagnostico_capacitacion_fci
Cc01 ops diagnostico_capacitacion_fciRamon Martinez
 
Marinho fatima indicators targets post mdg_seattle_mar 2011
Marinho fatima indicators targets post mdg_seattle_mar 2011Marinho fatima indicators targets post mdg_seattle_mar 2011
Marinho fatima indicators targets post mdg_seattle_mar 2011Ramon Martinez
 

More from Ramon Martinez (20)

Visualizando la prevalencia de HIV en el Mundo
Visualizando la prevalencia de HIV en el MundoVisualizando la prevalencia de HIV en el Mundo
Visualizando la prevalencia de HIV en el Mundo
 
Indigenous mortality and inequalities in Latin America
Indigenous mortality and inequalities in Latin AmericaIndigenous mortality and inequalities in Latin America
Indigenous mortality and inequalities in Latin America
 
Uru mort materna 12 de set 2011
Uru mort materna 12 de set 2011Uru mort materna 12 de set 2011
Uru mort materna 12 de set 2011
 
Motalidad matena clap
Motalidad matena clapMotalidad matena clap
Motalidad matena clap
 
Mortalidad materna 2 ha
Mortalidad materna 2 haMortalidad materna 2 ha
Mortalidad materna 2 ha
 
Mortalidad materna 1 ha
Mortalidad materna 1 haMortalidad materna 1 ha
Mortalidad materna 1 ha
 
Mexbúsqueda m maternas sep2011
Mexbúsqueda m maternas sep2011Mexbúsqueda m maternas sep2011
Mexbúsqueda m maternas sep2011
 
Cri reunión montevideo
Cri reunión montevideoCri reunión montevideo
Cri reunión montevideo
 
Crc clap 2011
Crc  clap 2011Crc  clap 2011
Crc clap 2011
 
Chile investigacion de muertes maternas reunión mortalidad materna ops 2011
Chile investigacion de muertes maternas reunión mortalidad materna ops 2011Chile investigacion de muertes maternas reunión mortalidad materna ops 2011
Chile investigacion de muertes maternas reunión mortalidad materna ops 2011
 
Brasil investigacion de las muertes maternas
Brasil investigacion de las muertes maternasBrasil investigacion de las muertes maternas
Brasil investigacion de las muertes maternas
 
Cc01 ops calidad_informacion
Cc01 ops calidad_informacionCc01 ops calidad_informacion
Cc01 ops calidad_informacion
 
Cc01 ops red_centros
Cc01 ops red_centrosCc01 ops red_centros
Cc01 ops red_centros
 
Cc01 cn argentina
Cc01 cn argentinaCc01 cn argentina
Cc01 cn argentina
 
Cc01 cevece venezuela
Cc01 cevece venezuelaCc01 cevece venezuela
Cc01 cevece venezuela
 
Cc01 cemece mexico
Cc01 cemece mexicoCc01 cemece mexico
Cc01 cemece mexico
 
Cc01 who fic_eic
Cc01 who fic_eicCc01 who fic_eic
Cc01 who fic_eic
 
Cc01 cbcd brasil
Cc01 cbcd brasilCc01 cbcd brasil
Cc01 cbcd brasil
 
Cc01 ops diagnostico_capacitacion_fci
Cc01 ops diagnostico_capacitacion_fciCc01 ops diagnostico_capacitacion_fci
Cc01 ops diagnostico_capacitacion_fci
 
Marinho fatima indicators targets post mdg_seattle_mar 2011
Marinho fatima indicators targets post mdg_seattle_mar 2011Marinho fatima indicators targets post mdg_seattle_mar 2011
Marinho fatima indicators targets post mdg_seattle_mar 2011
 

C606 the pan american health organizations health information and intelligence platform-supporting decision making in public health

  • 1. Introduction Methods Results Conclusions The Pan American Health Organization (PAHO) collects, analyzes, and synthesizes a large amount of health and health-related data from Member States. Data are often collected by individual departments on specific health topics and kept in multiple data sources. Users often find it difficult to identify and access the data they need to answer specific questions. In addition, the increasing demand for health information in the context of the scaling up for better health requires a flexible and dynamic approach for analyzing, synthesizing, and communicating relevant information to users. The design, development and implementation of the PAHO Health Information Platform (PHIP) as a solution to above mentioned problems is presented. Data collection, flows, cleaning, integration, storage, reporting and managements processes and analytics requirements were elicited. Based on requirements and specifications, the platform was architected as described in Figure 1. The PHIP Information Technology infrastructure was designed, installed and setup based on its IT architecture, illustrated in Figure 2. PHIP is the solution for: • integrating data from technical areas and programs across the Organization • facilitating access to health data for analysis • elaborating and disseminating information products and providing health information and evidence to Member States, policymakers and the public; • applying a more efficient and effective way to communicate relevant information to users 1. Regional Mortality database. 2. Health Indicators database. 3. Global Tuberculosis database. 4. Population, UN Population Division. 5. World Development Indicators (WDI), World Bank 6. International Development Assistance for Health, OECD and IHME. Available databases The Pan American Health Organization’s Health Information and Intelligence Platform: supporting decision making in public health Ramon Martinez-Piedra, Pan American Health Organization (PAHO-WHO). MEETING OF THE WHO COLLABORATING CENTRES FOR THE FAMILY OF INTERNATIONAL CLASSIFICATIONS PHIP Definition: Organization-wide Health Information System responsible for integrating, storing, processing and make available the health data, statistics and information. Solution for data integration from heterogeneous source system databases, including areas and programs across the Organization and countries. Information system that: • allows access to available data, and metadata dictionary • provides valid, consistent and reliable data, which are ready to use for reporting and analysis • provides fast visual analytic tools to facilitate health analysis • facilitate the publication of analytic reports and visualizations • facilitate access to analytic reports, visualizations Multiple data sources were integrated in a data warehouse using a data integration service. The data warehouse is accessible to health professionals and analysts within the Organization. Tableau Software –Tableau Server and Tableau Desktop– was implemented as a BI solution to provide fast and visual analysis capacity using large databases. Methods Figure 1. PHIP Architecture Figure 2. PHIP IT Infrastructure Results Integrated health data are available and ready to be used for more comprehensive analysis by health analysts within the Organization. The visual and fast analytic approach -implemented in PHIP- allows health analysts to explore large and complex datasets, understanding and unveiling data patterns, and enabling ad-hoc data exploration and analysis. Some data visualizations are illustrated in Figure 3, 4 and 5. Figure 4. Deaths by group of causes and Income Figure 3. Leading causes of death PHIP also facilitates the elaboration and publication of interactive and rich reports, data visualizations and dashboards. High interactivity is a feature of every information products, allowing end-users to ask questions and get answers while exploring them. Figure 5. Health Indicators Atlas For more information visit the PAHO Regional Health Observatory http:www.paho.org/rho email: martiner@paho.org 13 – 19 October 2012 Brasilia, Brazil Abstract This poster presents the design and implementation of PAHO’s Health Information and Intelligence Platform (PHIP), an organization-wide resource that provides public health data, analytical methods and tools and information to support decision- making within PAHO. PHIP also provides information products and evidence to national health authorities from countries of the Americas, health professionals and the general public. C606