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.
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Using Data Visualization to Make Routine Health Information Meaningful
1. Routine Health Information Network
Using Data
Visualization to
Make Routine
Health
Information
Meaningful
Amanda Makulec
John Snow Inc.
With forum co-moderators
Michael Edwards
John Snow Inc.
Tiana Jaramillo
University Research Co, LLC
2. The Routine Health Information
Network (RHINO) connects people
around the world who believe we
can promote better health through
the use of information produced by
high quality, sustainable routine
health information systems.
3. For decades, health data has been
captured in dense ledgers & reports.
Photo credit: Robin Hammond
16. What is data visualization?
A way of visually conveying information –
often quantitative in nature – in an
accurate, compelling format.
17. What is data visualization?
A way of visually conveying information –
often quantitative in nature – in an
accurate, compelling format.
Usually makes relationships more
apparent (e.g. by clustering, color
coding and by putting items in scale).
18. What is data visualization?
A way of visually conveying information –
often quantitative in nature – in an
accurate, compelling format.
Usually makes relationships more
apparent (e.g. by clustering, color
coding and by putting items in scale).
Can be static or interactive.
22. HIS / M&E
Developers Program Staff
Designers
Inspired by the diagram from “Building Successful Data Teams”
https://policyviz.com/2017/03/09/building-successful-data-teams/
23. How can we create
user-centered
dashboards and
visualization tools?
27. Ben Shneiderman’s
Information Seeking Mantra
Overview first.
Zoom and filter.
Then details on demand.
Ben Shneiderman, The Eyes Have It; A task by Data Type Taxonomy for Information Visualizations. In Proceedings o the
IEEESymposium on Visual Languages, pages 336-343, Washington IEEE Computer Society Press, 1996
31. User personas are a tool we can use to understand who
the different users of a dashboard could be.
Sample persona from User Personas https://www.pinterest.com/tovissy/user-personas-ux-sd-cx/
38. Interesting
Function
Form
Integrity
David McCandless, 2012
1. Function: they let you
see trends and patterns
clearly.
2. Form: they are visually
appealing and well
structured to attract
readers and hold their
attention.
3. Integrity: they portray
the data accurately and
honestly.
4. Interesting: they are
relevant and
meaningful, or reveal
new information.
39. Image from HubSpot + Visage Data Visualization 101 Guide
Pick the right chart
for your purpose.
Trend over time? Comparison?
Distribution?
42. 0
10
20
30
40
50
Facility 1 Facility 2 Facility 3 Facility 4 Facility 5 Facility 6 Facility 7 Facility 8
Facility 4 showed the highest quality of care.
Despite scoring highest, its overall score was below 50%, indicating there is
work to be done to improve quality of care across facilities.
Decluttered chart
eliminates the “non-
data ink” where
possible to focus on
the data story.
45. Alert bar features red for indicators performing poorly
where action is required.
46. Promote accessibility by avoiding red-green maps and
charts that can be challenging for the colorblind.
Dashboard from Tableau Public, designed by Data Ink https://public.tableau.com/en-us/s/gallery/changing-diseases
48. Charts are titled with the
question they aim to
answer.
Visualization from Tableau Public Gallery https://public.tableau.com/en-us/s/gallery/malaria-africa
56. Michael Edwards,
PhD, MPH
Biostatistician &
Senior HIS Advisor
John Snow Inc.
Tiana Jaramillo
Information Systems and
M&E Specialist
University Research
Council, LLC
Amanda Makulec,
MPH
Visual Analytics Advisor
John Snow Inc.
Meet your Moderators
57. Now it’s your turn.
Join us on the Forum to share
your examples, experiences,
challenges, and data
visualization tricks.
59. This presentation was produced with the support of the United States
Agency for International Development (USAID) under the terms of
MEASURE Evaluation cooperative agreement AID-OAA-L-14-00004.
MEASURE Evaluation is implemented by the Carolina Population
Center, University of North Carolina at Chapel Hill in partnership with
ICF International; John Snow, Inc.; Management Sciences for Health;
Palladium; and Tulane University. Views expressed are not necessarily
those of USAID or the United States government.
www.measureevaluation.org