Health data projection using GIS

Ms. Shazia Naz Subhani ssubhani@kfshrc.edu.sa

Mr. John Ellenbergerjohn.ellenberger@spacetimeresearch.com

About King Faisal Specialist Hospital & Research Center The Importance of Research Data Trends in Health Research Geospatial Analysis What are we trying to achieve?

Presentation Overview

KFSH&RC is a multi-facility, multi-entity tertiary care hospital and one of the leading healthcare institutions in the Kingdom of Saudi Arabia. 

The mission is to provide medical services of highly specialized nature and promote medical research and education programs, including postgraduate education training, as well as to contribute towards the prevention of various diseases.

http://www.kfshrc.edu.sa

King Faisal Specialist Hospital & Research Center Riyadh, Saudi Arabia

Importance of Research Data

Improving knowledge and understanding

Spin-off research projects

Health planning

Resource allocation

Evaluation of clinical and public health programs

Cluster investigation

Research provides a road map for customizing, tailoring, and individualization of opportunities.

Research is essential to guide improvements in health systems and develop new initiatives.

Web-Based Registries National Cancer Registry National Diabetes Registry National Congenital Heart Defects Registry National Epilepsy Registry National Neural Tube Defects Registry National Family Safety Registry Pan Arab Liver Transplantation Registry

Trends in Health Research – Clinical Registries

Several other hospital based registries Cleft Lip/Palate and Craniofacial Anomalies Thromboembolic Disorders Neuromuscular Diseases Venous Thrombosis and Familial

Thrombophillia

Search ResultsCharts

Data Entry Data Updates

Data Auditing

Statistical Reports Data Export

Maps

(Live Data)

Patient’s Count

• Phase I : Riyadh region with 25 participating hospitals.

Geospatial Analysis – Saudi National Diabetes Registry

List of all patients in Al Kharj city

Single patient information

Geospatial Analysis – Saudi National Diabetes Registry

Designed interface for the Saudi National Diabetes Registry.

Live data projection as maps with the help of ESRI ArcIMS 9.3.1

Geospatial Analysis – Saudi National Diabetes Registry

Retinopathy Distribution among Diabetic Patients

Regular Insulin - Distribution among Diabetic Patients

Geospatial Analysis – Age Distribution of Diabetic Patients

Easy to query using the query tool from the “Tool Menu” or using the user defined query engine.

Customizableo Map Tools o Layers

Health Research data has needs of evaluation, reporting, mapping and presentation in a way that:

secures the privacy and confidentiality of data assists policy and decision makers to

make accurate and timely decisions allocate required resources take necessary measurements to address

health problems.

What are we aiming to achieve?

Vision Statement: The National Center for Health Statistics (NCHS) will expand the availability of research data for dynamic analysis and reporting using high technology platforms.

National Center for Health Statistics

Geographical distribution of data as maps along with tabulations and charting will be available with data filters for narrowing down the inquiries supporting important decisions.

Objectives - National Center for Health Statistics

To provide a unique real time statistical platform for researchers and health administrators that will assist them in making sound decisions.

To provide state of the art repository of information on various disease registries and national projects.

To make available the non-identifiable health research data for browsing and queries.

National Center for Health Statistics – Undergoing Project

Our imagination is the only limit to what we can hope to have in the future.

~ Charles F. Kettering

The application of GIS is limited only by the imagination of those who use it.

~ Jack Dangermond

Government

Return on the investment made collecting the data

Better decisions

Evidence based policy making

Probity

Open Government

Wisdom of crowds

Why make Data available to the Public?

data

data

data

Informed decision making (design)

Government

Public

Public

Government2.0

Evidence based policy making

Probity

Openess

Privacy protection

A ‘duty of care’

End user expectations Interactive Free (marginal cost should be zero for data providers) Easy & fast (REST technology) Attractive & fun

Challenges of making Health Data available to the Public

From Jack’s opening address GIS is being deployed as a way to understand and work on a host of problems

facing society GIS is key to our future and planning for environmental change Collaboration and data sharing between Government is being enabled by GIS Cloud computing and GIS allowing Govt and citizens to mash-up data creating

a geospatial literate society Geoservices using RESTful technology is the next big step in GIS ESRI ArcGIS Online is based in the cloud and is a free service GIS moving from observing the past to designing the future

Technology RESTful web services (ArcGIS 9.3 and moving towards 9.4) ArcGIS Online for world base mapping

GIS Directions

Consider End User Requirements and Capabilities

Public

Government

Researchers

Builders

Easy access, parameter drivenreport selection, dynamic visualizations

Create their own queries, view as tables, maps and charts

Access underlying microdata to perform ad hoc analysis

Access the data via REST Web Services to create their mash-ups and delivery systems

KFSH Register Data SuperVIEW Demo – for Public

A sample of dummy data is used for this demonstration

KFSH Register Data SuperVIEW Demo – for Public

A sample of dummy data is used for this demonstration

KFSH Register Data SuperVIEW Demo – for Public

A sample of dummy data is used for this demonstration

KFSH Register Data SuperVIEW Demo – for Public

A sample of dummy data is used for this demonstration

KFSH Register Data SuperVIEW Demo – for Public

A sample of dummy data is used for this demonstration

KFSH Register Data SuperVIEW Demo – for Public

A sample of dummy data is used for this demonstration

ArcGIS Server 9.3.1 Store the regional boundaries Produce the thematic maps dynamically based on the data

selection using as equal interval calculation Overlay the thematic map

ESRI Web Services technology Mash-up the thematic map with a Google base map Could use:

Bing Maps Yahoo Maps ESRI ArcGIS Server Online

Presented through the Space-Time Research SuperVIEW front end

ESRI Technology Integration

KFSH Register Data SuperVIEW Demo – for Public

A sample of dummy data is used for this demonstration

KFSH Register Data SuperVIEW Demo – for Public

A sample of dummy data is used for this demonstration

KFSH Register Data SuperVIEW Demo – for Public

A sample of dummy data is used for this demonstration

KFSH Register Data SuperVIEW Demo – for Public

A sample of dummy data is used for this demonstration

KFSH Register Data SuperVIEW Demo – for Public

A sample of dummy data is used for this demonstration

KFSH Register Data SuperVIEW Demo – for Public

A sample of dummy data is used for this demonstration

KFSH Register Data SuperWEB Demo – for Researchers

A sample of dummy data is used for this demonstration

KFSH Register Data SuperWEB Demo – for Researchers

A sample of dummy data is used for this demonstration

KFSH Register Data SuperWEB Demo – for Researchers

A sample of dummy data is used for this demonstration

ArcGIS Server 9.3.1 Store the regional boundaries Produce the thematic maps dynamically based on the query the

user has created User control

Distribution method Ranges / colours / transparency View other layers

ESRI Web Services technology Mash-up the thematic map with a ESRI ArcGIS Server Online

Presented through the Space-Time Research SuperWEB front end

ESRI Technology Integration

Thank you