The project ‘Katéter & Monika’ H ow to link and visualize

The project ‘Katéter & Monika’
How to link and visualize
health data
Innovation in Healthcare
30 May 2013
Basic information
• Official name: Development of national health
monitoring and capacity map database and
• Budget: 1 billion HUF (~ 3.4 million EUR)
• Realization: February 2013 – October 2014
• Consortium members:
– National Institute for Quality- and Organizational
Development in Healthcare and Medicine (GYEMSZI)
– Governmental Information-Technology Development
Agency (KIFÜ)
• Sponsor: Ministry of Human Resources (EMMI)
Goal of the project
To create the database of all information and
services in healtcare which supports the
transparent functioning of the sector and
contributes to the evidence-based preparation
of strategic decisions.
Group of targets
Decision-makers at national and regional level
Management of inpatient institutions
National and international researchers
Analysts of other ministries
Medical societies and patient organizations
Public, media, civil society
Tools of realization
Data warehouse and exploiter modules
Data sources
• Turnover of the Healthcare
• Master data of providers
• Needs and reference data
• Rescue events
• HR capacity
• Registers and controlling
What can we know from this data warehouse?
What happened?
Exactly where, when, with who,
how often, etc. happened?
Why did it happen?
What will
What is
Source: Competing on analytics.
Davenport & Harris. 2007
Controlled data link with data hosts
Optimized data warehouse structure
Linked data, ready to analyse
Data analysis tools
Skilled users
Skilled operator team (operation, development,
Main professional challenges
Assessment of needs
Data cleansing
Upload historical data
Produce consistent time series
Data link
Development of standard reports (durability)
Sum Up
Source: Assessing the National Health
Information System - An Assessment Tool.
WHO. 2008
Ensuring Sustainability
Competence center
Data management
Regulatory frameworks
Permanently involving actors, incorporating
• Organizing user trainings
• Internal and external PR – the system should be
used in reality!
• Continuous updating of database
The results of the project
• Access of valid data, providing information at the
appropriate time, processing level, quality and form.
• This will be the fundamental application for the
healthcare analysts.
• Unified serving of unique and regular data requests.
• Creation of knowledge base to support healthcare
• Common use of valid data can (will) improve the
quality, efficiency, fairness and sustainability of health
Grazie for your attention!
Asztalos Péter
[email protected]