elsevier smart content ldr semtech 2012
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Elsevier Health Sciences
SemTechBiz 2012 Conference June 5, 2012
Alan Yagoda VP, Business Technology a.yagoda@elsevier.com @alanyagoda
Smart Content Drives Smart Applications The Future Of Using Knowledge In Healthcare
Elsevier is the largest Science, Technical and Medical Publisher in the world. In the area of Health Sciences, Elsevier publishes leading brands including The Lancet, Braunwald’s Heart Disease, Gray’s Anatomy, and the Netter Atlases among others. In addition, Elsevier produces leading online clinical support tools and products including:
• MD Consult • Procedures Consult • Mosby’s Nursing Consult • CPMRC Nursing Care Plans • Gold Standard Drug Database • MEDai Analytics for Managed Care Plans
Elsevier Proprietary and Confiden3al
About Elsevier
The Challenge
The Challenge: Getting doctors the right information to make the best decisions and provide the best clinical care
Trusted: Authoritative medical and surgical content from Elsevier. Comprehensive: Integrated Medline and 3rd party journal content. Speed To Answer: Fast discoverability of the most relevant answers and more intuitive searching.
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Introducing Smart Content
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Copyright 2011 Outsell Gilbane Services, Inc.
http://www.outsellinc.com http://gilbane.com/xml/2009/11/what-is-smart-content.html#ixzz0hnuRhaBc
Taxonomy-Powered Content = Smart Content
Content today with structured XML
Content with applied taxonomy
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Smart Content At Elsevier
7 Elsevier Proprietary and Confiden3all
Entities, concepts and relationships
Smart Content Applications
Better understanding through analysis and visualization • Tag clouds • Heatmaps"• Streamgraphs"• Scatterplots"• Time series • Animations
Better discovery through semantic search & navigation • Faceted search & browse • Ontology-driven navigation • Task-specific results • Personalized/localized results • Question answering"• Link to evidenced-based content
New knowledge through aggregation and synthesis • Topic pages • Social network maps • Geolocation maps • Data mashups"• Text mining reports
Images
Text
Tables Elsevier content
Elsevier knowledge organization systems
Linked data from partners and the Web
Co
ncep
t Mapping
Making Smart Content Work in the Clinical Setting
250K+ Core Clinical Concepts
1M+ Hierarchical Rela3onships
1M+ Ontological Rela3onships
1M+ Synonyms
• Vast amounts of content made easily discoverable • Specialty-‐specific naviga9on
• Dynamic clinical summary crea9on • Meaningful related content recommenda9ons
Pa3ent Ed Drug Info Procedural Videos
Clinical Summaries
EMMeT
Elsevier Custom
UMLS
Books
Journals Guidelines Clinical Trials
Elsevier Merged Medical Taxonomy (EMMeT)
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Introducing EMMeT (Elsevier Merged Medical Taxonomy)
Medical Name Malignant Neoplasm of the Breast
Consumer Friendly Name Breast Cancer
Synonyms Malignant Tumor of Breast Malignant Breast Neoplasm Breast Ca
Codes ICD9 – 174.9 MeSH – D001943 SNOMED-CT – 190121004
Semantic Type/Group Neoplastic Process/Disease
• Breast Disorders • Cancer of the Thorax • Mammary Neoplasms • More….
• Breast Sarcoma • Familial Breast Cancer • Malignant lymphoma of the Breast • Malignant Neoplasm of the breast outer
quadrant • More…
Symptoms
Diagnostic Procedures
Treatment Procedures
Medications
Risk Factors
Prevention
Complications
Breast Lump, Nipple Retraction, …..
Mammography, Breast Biopsy, …..
Chemotherapy, Mastectomy, ….
Tamoxifen, Doxorubicin, …..
Family History, Genetics, Predisposition, ….
Screening, Preemptive Mastectomy, ….
Metastatic Cancer, ….
Parent Terms
Sem
antic
Rel
atio
nshi
ps
Children Terms
4
2
3
1
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Automated Indexing: Weighted Tags for Better Search
Paragraph-level SMART Content tags uncover highly-relevant information not necessarily evident from the title or abstract alone.
Article-level SMART Content tags help confirm relevance and provide a topical overview about a piece of content.
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Search & Discovery: ClinicalKey
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EMMeT Powered Auto-Suggest
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Speed to Answer: Most relevant preview
Linked Data Repository
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Linked Data Repository (LDR): Warehouse for Smart Content Enhancements Evaluation and management of delirium in hospitalized older patients Delirium is common in hospitalized older patients and may be a symptom of a medical emergency, such as hypoxia or hypoglycemia. It is characterized by an acute change in cognition and attention, although the symptoms may be subtle and usually fluctuate throughout the day. This heterogeneous syndrome requires prompt recognition and evaluation, because the underlying medical condition may be life threatening. Risk factors for delirium include visual impairment, previous cognitive impairment, severe illness, and an elevated blood urea nitrogen/serum creatinine ratio. Interventions that have been shown to reduce the incidence of delirium in at-risk hospitalized patients include repeated reorientation of the patient to person and place, promotion of good sleep hygiene, early mobilization, correction of dehydration, and the minimization of unnecessary noise and stimuli. The treatment of delirium centers on the identification and management of the medical condition that triggered the delirious state. Nonpharmacologic interventions may be beneficial, but antipsychotic agents may be needed when the cause is nonspecific and other interventions do not sufficiently control symptoms such as severe agitation or psychosis. Although delirium is a temporary condition, it may persist for several months in the most vulnerable patients. Patient outcomes at one year include a higher mortality rate and a lower level of functioning compared with age-matched control patients. Copyright © 2008 American Academy of Family Physicians.
Title
Disease
Clinical finding
Source
• Service that provides a rich semantic layer on top of content and enables search and discovery of metadata
• Transforms content into data to allow exploration of Elsevier-wide knowledge base
• Opens up discovery and utility of content beyond searchable documents
• Extends Elsevier extracted knowledge by interlinking data with other related sources of content from partners and the web
• Optimized for high-volume read-write of RDF data
• Provide service layer APIs for ease of integration
Drugs
15 Elsevier Proprietary and Confiden3al
Represent Enhancements and Vocabularies In RDF Satellites
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LDR
Example RDF Statements Tags from a taxonomy for a given document Document sections relevant to a given concept Document sections providing answers to a given question Genes mentioned in a given document Documents supporting or disputing conclusions of a given document Concepts in the areas of expertise for a given author
Creation of Satellite Standards • Linked data compliant RDF representing metadata objects • Leverage common namespaces from dct, pav, rdf, skos • Taxonomies in SKOS to enhance portability in the linked data world • Subject tagging against a vocabulary representing extracted
knowledge • Concept URIs that can be equated to URIs in linked data
Delivery Infrastructure • Product-specific indexes generating RDF “Smart Tags” • Data pipeline transformations for building semantic warehouse • Exposed through linked data delivery services
Discovery Services (Semantic Knowledgebase)
Data Space Services
LDR Semantic Infrastructure
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Linked Data Pipeline Services (Hadoop)
JSON Transform
N-Quads Extract
Reasoning
Interlinking
RDF Validation
Ontology Svcs
…
Annota3on Satellites
Linked Data Loader (REST)
MongoDB NoSQL
Access & Entitlements
Asset Satellites
Vocab Satellites
3rd Party Data
SOLR/SIREn
Admin & Monitoring Analytics Atom Feed
Discovery Svc API (REST)
Ontology Service SPARQL Alerts
Virtuoso Triplestore
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AWS Cloud Management
Tagging and Indexing Services (Concepts, Chapters, Ar3cles, Guidelines,etc) RDF Genera3on
EMMeT Semantic Network
Vocabulary SKOS Genera3on
Elsevier
Conten
t
Product-specific Smart Content Search Index
3rd P
arty
Conten
t
Ins3t.
Conten
t
Smart Content Indexing Pipeline
Linked Data
Amazon S3
Vocab & Annotation RDF Satellites
Linked Data
Elsevier Smart Content In Action
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Applications powered by Smart Content: – Semantic search for practitioners and medical researchers – Expose medical taxonomies in SKOS – Crossref collaboration of scholarly publishers and funding agencies – Lancet application mashups on specialty health topics – Sciverse applications – Clinical Decision Support Drug Research
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LDR API Access To Ar4cle Metadata
Trend Analysis Of Special Health Topics
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Comprehensive Drug Research
• Moving world-class content online to Point of Care. • Extracted knowledge is linked for further enrichment. • Information is condensed, immediate and actionable.
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-‐ Discover knowledge from research relevant to a pa3ent profile -‐ Alerts on FDA Announcements.
Linking Patient Data To Evidence-Based Research
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Article search on ScienceDirect results in related specialty content recommendations available from The Lancet Journal.
SciVerse Widgets Powered by Smart Content
• Smart content allows publishers to create new products and services through structuring content for better discovery, insight and utility – The value is in the structure – Creating that structure is hard work – The kind of hard work that publishers have
traditionally focused on • New consumer Internet businesses are using open
source software and the cloud to add structure to content today… quickly and on the cheap
• Publishers and societies both large and small can use the same techniques to follow suit
Smart content is a bridge to the future of publishing
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Thank you. Alan Yagoda a.yagoda@elsevier.com
Elsevier Proprietary and Confiden3al
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