This document discusses Elsevier's Health Knowledge Graph (H-Graph) which connects Elsevier healthcare products, data, and content to power advanced clinical decision support applications. The H-Graph contains over 400,000 medical concepts with 4.9 million semantic relations extracted from medical literature using natural language processing. It aims to integrate Elsevier's existing products through linked data standards while minimizing impact on current workflows. The document outlines Elsevier's approach to linked data, including the need to control namespaces and prioritize developer experience.

1. Elsevier’s Healthcare
Knowledge Graph
Alex DeJong, Radmila Bord, Will Dowling, Rinke Hoekstra, Ryan Moquin, Charlie O, Mevan
Samarasinghe, Paul Snyder, Craig Stanley, Anna Tordai, Michael Trefry, and Paul Groth.
@pgroth | @elsevierlabs
October 10, 2018
The Case for Enterprise Linked
Data Standards

2. “A global information analytics business”
2

3. Knowledge Graphs at Elsevier
3

4. A Health Care Knowledge Graph
4
What types of questions do clinicians ask?
Spans Entity Types
- Drugs
- Diagnosis
- Symptoms
- Phenotypes
- Diseases
- …

5. H-Graph: The Elsevier Health Knowledge Graph
400K+ medical concepts with relations and extensive
mappings to industry vocabularies and multi-language support
4.9M+ semantic relations extracted from medical
literature using NLP and convolutional neural networks
Deep and expressive graph model extends relations with
qualitative and quantitative context
Graph-based knowledge representations power
advanced clinical decision support applications

6. Deeper Data Lies in Products

7. Deeper Data Lies in Products
But how do we get at it with
minimal impact to current
workflows?

8. Use Linked Data to Integrate
8

9. Linked Data Principles are under specified
• What syntax do you provide and as a
consumer can you expect?
• What names spaces do you use?
• How do you link to single sign-on?
• What links should you set?
9

10. Elsevier Linked Data Standards
10

11. Elsevier Linked Data Standards
11

12. Elsevier Linked Data Standards
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13. Videos and Documents
Patient Education
Drug Database
Gold Standard
Care Plans
Order Sets
Clinical Trial Data
MACRO
Radiology Images
StatDX
Pathology Images
ExpertPath
Books and Journals
ScienceDirect
ICD-10
RxNorm LOINC
SNOMED
MeSH
H-Graph Core
Graph Database
External Vocabularies
H-Graph
Core
Clinical Guidelines
LD API
LD API
LDAPI
LDAPI
LDAPI
LD API
LD API
LDAPI
LD API
LD API
LD API
Patient Journey
Patient
Intake
Suspected
Diagnosis
Diagnostic
Test
Confirmed
Diagnosis
Treatment
Plan
Treatment
Delivery
Discharge &
Ongoing Care
Elsevier
Patient Journey
Products and ACDS
Differential Diagnosis
Alerts
Image Analysis
Pathways
Order Sets
Care Plans
Patient Engagement
Skills & eLearning
Clinical Overviews
ClinicalKey Reference
Gold Standard
H-Graph: The Elsevier Health Knowledge Graph
H-Graph Core connects Elsevier products, data, and healthcare content to power ACDS
Pre-Visit
Symptom
Checkers
(e.g., Arezzo)
Patient-Centered Apps
(e.g., chronic disease
management
for diabetes)

14. Result: a unified but distributed knowledge graph
14

15. Lesson: Namespace control is key
15

16. Lesson: Developer UX
16

17. Thank you
Paul Groth | @pgroth
@elsevierlabs