PAHO Health Information and Intelligence Platform (PHIP) - porter presented at the Global Health Metrics and Evaluation (GHME) Conference 2011. Seattle, Washington
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PAHO Health Information and Intelligence Platform (PHIP) Martinez R
1. GLOBAL HEALTH METRICS AND EVALUATION CONFERENCE 2011, 14 -16 March, 2011 Seattle, WA. Poster # 249
The Pan American Health Organization Health
Information Platform: an organisation-wide data warehouse
and health intelligence platform to support health analysis and
decision making
Ramon Martinez-Piedra, Health Information and Analysis, Pan American Health Organization (PAHO), 525 23rd Street
NW, Washington DC 20037, USA. martiner@paho.org
Introduction Methods Results
The Pan American Health Organization
(PAHO) collects, analyzes, and
synthesizes a large amount of health-
related data from Member States. Data
are often collected by individual
departments on specific health topics
and kept in distinct databases. 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 Figure 1. PHIP Architecture
and dynamic approach to analyzing,
Figure 4. Leading causes of death
synthesizing, and communicating
relevant information to users. PHIP also facilitates the elaboration and
publication of interactive and rich reports,
The design, development and visualizations and dashboards.
implementation of the PAHO Health
Information Platform (PHIP) as a
solution to above mentioned problems
is presented.
PHIP Definition: Corporate-wide
Health Information System
Figure 2. PHIP IT Infrastructure
responsible for integrating, storing,
processing and make available the Multiple data sources were integrated
health data, statistics and in a data warehouse using a data
information. integration service. Data warehouse is
accessible to health professionals and
Solution for data integration from analysts within the Organization.
Figure 3. Deaths by group of causes and
heterogeneous source system Income
databases, including areas and Tableau Software –Tableau Server and High interactivity is a feature of every
programs across the Organization Tableau Desktop – was implemented as information products, allowing end-users
and countries. a BI solution to provide fast and visual to ask questions and get answers while
analysis of large databases. exploring them.
Information system that:
• allows access to available data, and Results
metadata dictionary
• provides valid, consistent and Integrated health data is available and
reliable data which are ready to use ready to be used for more
for reporting and analysis; comprehensive analysis by health
• provides fast visual analytic tools to analysts within the Organization.
facilitate health analysis Data available
• facilitate the publication of analytic
reports and visualizations 1. Regional Mortality database.
• facilitate access to analytic reports, 2. Health Indicators database. Figure 5. Health Indicators Atlas
visualizations 3. Global Tuberculosis database.
4. Population, UN Population Conclusions
Methods Division.
5. World Development Indicators PHIP has been the solution for:
(WDI), World Bank • the integration of data from technical
Data collection, flows, cleaning, areas and programs across the
integration, storage, reporting and 6. International Development
Assistance for Health, OECD Organization
managements processes and analytics • facilitating access to health data for
requirements were elicited. Based on and IHME.
analysis
requirements and specifications, the • the elaboration and dissemination
The visual and fast analytic approach -
platform was architected as described
implemented in PHIP- allows health of information products and providing
in Figure 1. health information and evidence to
analysts to explore large and complex
data sets, understanding data, Member States, policymakers and
The PHIP Information Technology the public;
unveiling data patterns, and enabling
infrastructure was designed according • applying a more efficient and
ad-hoc data exploration.
to the architecture and it is presented effective way to communicate
in Figure 2. relevant information to users
For more information visit the PAHO Regional Health Observatory http:www.paho.org/rho