Emis supporting information based decision making in montr al s healthcare system
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Direction de santé publique. EMIS Supporting Information-based Decision-making in Montréal’s Healthcare System. Community Data Canada Roundtable March 9, 2011, Toronto. Carl Drouin Direction de santé publique Agence de la santé et des services sociaux de Montréal. Presentation outline.

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EMIS Supporting Information-based Decision-making in Montréal’s Healthcare System

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Direction de santé publique

EMISSupporting Information-based Decision-making in Montréal’s Healthcare System

Community Data Canada Roundtable

March 9, 2011, Toronto

Carl Drouin

Direction de santé publique

Agence de la santé et des services sociaux de Montréal

Presentation outline

  • Context in which EMIS was created

  • Key principles guiding our strategy in public health data dissemination

  • Demo of EMIS Website

    • Content and structure

    • Tools

  • Concluding remarks

Organizational context of EMIS

Data-related responsibilities

Ministry of health and social services

  • Manage and provide information on the health care system (services delivered, resources, performance, etc.)





18 regional ‘’agencies’’

  • Track the health status of Montrealers (surveillance)

  • Inform the population and decision makers about health and its determinants

Public health division

Local networks

12 local Health and Social Services Centres (CSSS) in Montreal

Plan and provide services according to population health needs

  • Medical service providers

  • Municipalities and boroughs

  • Community organizations

  • Schools and school boards

  • Etc.

Advantages of EMIS

  • Organizational perspective

    • A single platform using same tools and technologies

    • More integration in data collection

    • Uniformity in data treatment

    • Less duplication in production and dissemination processes

    • Development and maintenance supported by a larger group with complementary skills (IT, GIS, analytical expertise related to Service programs and PH data)

  • User’s perspective

    • A single reference on health data in Montreal (with same structure, interactive Web-based tools and analytical publications)

    • Same data can be used for different purposes

    • Participate in Website development and validation of further improvements

  • Provide settings to enhance data-driven decision-making

Key principles

  • Go local when possible

  • Diversify products

  • Standardize analytical products and tools

  • Develop products and Website with partners and data users

  • Integrate within a larger Web strategy (design, technology)

Provide local data

  • Census geography (CTs and DAs)

  • Health administrative units

    • CSSS, CLSS, voisinages

  • By health institutions (e.g. hospitals)

  • Sometimes adapted to other geographies (school boards)

  • More and more of our PH publications are done in series of 12 (CSSS)

  • Working on a local survey program

111 neighbourhoods

Different products for diversified users

  • More meaningful information

  • = more efforts

  • = more users?

  • = used for

  • decision- making?

Interactive tools

Standardized analytical products

Chiffres-clés (Key numbers)

Place-based (neighbourhoods) characteristics - Montreal


Agency’s Website redevelopment

Agency’s corporate Website

Regional portal

Zone for


Zone for


Other health data Websites

Public health director’s Website


Local Websites


Concluding remarks

Challenges to be met

  • Allow the time required to increase the value of the data

  • Keep a large amount of data and information up-to-date

    • Continuous feeding of those involved in surveillance

  • Support data utilization among local and community partners

  • Work on structural (e.g. menus) and technological (e.g. indicators module instead of Excel and PDF files) improvements

    Key message

  • Such type of Website requires to be part of a larger information system (i.e. data – qualified HR – tools – standardized processes)

Ideas for discussion

  • How can data really provide bases for reduction in social health inequalities?

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