ICES

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ICES topic overview

The analysis highlights History, Research, Science and Companies as prominent areas in the source structure around ICES.

Related topics: 42
Source areas: 5
Connected nodes: 47
Extracted relationships: 96
Related term clusters: 29
Bridge connections: 47

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Examples of research impact · 20 topics

Overview · 14 topics

History · 4 topics

Methodology and data holdings · 2 topics

Privacy and security · 2 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Founded: 1992
Industry: Health services research · Health research
Headquarters: Toronto, Ontario, Canada
Founder: David Naylor · Jack Williams
Key people: Michael Schull, President and CEO
Number of employees: 400+

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Explore different angles and find fresh ideas to shape your next piece of content.

ICES

5Health informatics · Health services research · Outcomes research

4Scientific journal · Population health · Evidence-based practice

4Government of Ontario · Health system · David Naylor

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History

Privacy and security

Methodology and data holdings

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How ICES connects Entity context

The extracted context around ICES shows recurring relationship patterns in the source. For example, ICES → Advisory Panel, Although, Amit Garg, Astrid Guttmann, Brain Disorders, Canada, Clostridioides, CMAJ, Concern, Costs, David Naylor, Donald Redelmeier, Dr, Due, Government, Health Administrative Data, Health Canada, Healthcare Innovation, ICES Western, Incidence Another extracted example is ICES → April, David Naylor, Dr, Government, Jack Williams, Naylor, OHIP, Ontario, Ontario Health Insurance Plan. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

has impact · 44

ICES → Advisory Panel, Although, Amit Garg, Astrid Guttmann, Brain Disorders, Canada, Clostridioides, CMAJ, Concern, Costs, David Naylor, Donald Redelmeier, Dr, Due, Government, Health Administrative Data, Health Canada, Healthcare Innovation, ICES Western, Incidence

related to history · 9

ICES → April, David Naylor, Dr, Government, Jack Williams, Naylor, OHIP, Ontario, Ontario Health Insurance Plan

related to Privacy and security · 9

ICES → Act, All ICES, Information, IPC, Ontario, Personal Health Information Protection, PHIPA, Privacy Commissioner, Under Section

related to Research programs · 7

ICES → AddictionsPopulations, CancerCardiovascularChronic Disease, Dialysis, Health Systems, PharmacotherapyKidney, Public HealthPrimary Care, TransplantationLife StageMental Health

Products · 4

ICES → Health informatics, Health information, Population health Reports, Scientific journal Papers

related to Methodology and data holdings · 3

ICES → Ontario, Ontario's, The ICES

Founder · 2

ICES → David Naylor, Jack Williams

Industry · 2

ICES → Health research, Health services research

Founded · 1

ICES → 1992

Headquarters · 1

ICES → Toronto, Ontario, Canada

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

health ontario data research care dr led study using administrative ontario's canada journal services population new 2015 institute government links

ICES relationships Subject–Predicate–Object triples

TTTA extracted 96 structured relationships around ICES. Examples in this analysis include ICES → Founded → 1992 and ICES → Founder → David Naylor. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
ICES	Founded	1992	1.00	infobox
ICES	Founder	David Naylor	1.00	infobox
ICES	Founder	Jack Williams	1.00	infobox
ICES	Headquarters	Toronto, Ontario, Canada	1.00	infobox
ICES	Industry	Health services research	1.00	infobox
ICES	Industry	Health research	1.00	infobox
ICES	Key people	Michael Schull, President and CEO	1.00	infobox
ICES	Number of employees	400+	1.00	infobox
ICES	Products	Health information	1.00	infobox
ICES	Products	Health informatics	1.00	infobox
ICES	Products	Population health Reports	1.00	infobox
ICES	Products	Scientific journal Papers	1.00	infobox
ICES	Revenue	7,830,535 Canadian dollar (2003)	1.00	infobox
ICES	Total assets	7,467,811 Canadian dollar (2003)	1.00	infobox
ICES	Type	Not-for-profit corporation	1.00	infobox
ICES	Website	http://www.ices.on.ca	1.00	infobox

Related concept clusters Related term clusters

The concept neighborhoods around ICES bring nearby vocabulary together. In this analysis, examples include Health, Data and Led. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

ICES
- Health
- Data
- Led
- Research
- Care
- Ontario
- Study
- Dr
- Administrative
- Using
- Canadian
- Number
ices
- Health
- Data
- Led
- Research
- Care
- Ontario
- Study
- Dr
- Administrative
- Using
- Canadian
- Number
health informatics
- Services
- System
- Data
- Ices
- Ontario
- Research
- Reports
- Sciences
- Scientific
- Administrative
- Care
- Canadian
health services research
- Data
- Ices
- System
- Ontario
- Population
- Research
- Government
- Administrative
- Care
- Peer-reviewed
- Reports
- Scientific
health outcomes
- Data
- Ices
- Ontario
- Research
- Administrative
- Care
- Institute
- Population
- Canada
- Ontario's
- Canadian
- Collected
ontario
- Information
- Research
- Privacy
- Services
- Links
- Population
- New
- Ontario's
- Administrative
- Sciences
- Canadian
- Number
publicly funded health care
- Data
- Ices
- Population
- Ontario
- Research
- Corporation
- Informatics
- Reports
- Scientific
- Administrative
- Care
- Health
population health
- Data
- Ices
- Reports
- Scientific
- Canadian
- Ontario
- Privacy
- Services
- Research
- Information
- Administrative
- Care

Connections between topic areas Semantic bridges

For ICES, one of the stronger structural bridges in this analysis connects ICES with Examples of research impact. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

ICES — Examples of research impact · splits 27 ⟂ 21

ICES — Overview · splits 33 ⟂ 15

ICES — History · splits 43 ⟂ 5

ICES — Privacy and security · splits 45 ⟂ 3

ICES — Methodology and data holdings · splits 45 ⟂ 3

Map overview Semantic statistics

ICES

Nodes48

Edges47

Triples96

Avg. degree1.96

Density0.041667

Components1

Source & methodology

TTTA analyzes the structure around ICES to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Research, Science & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — ICES · EN edition · Analysis: TopicsToTalkAbout

ICES: History, Research, Science & Companies

ICES topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

History

Privacy and security

Methodology and data holdings

Examples of research impact

For the semantics nerds

Advanced semantic analysis

How ICES connects Entity context

ICES

Top relations

Important terminology

Important terminology

ICES relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

ICES

Source & methodology