elsevier smart content ldr semtech 2012

Elsevier Health Sciences

SemTechBiz 2012 Conference June 5, 2012

Alan Yagoda VP, Business Technology [email protected] @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.

Elsevier Health Sciences | Proprietary and Confiden3al

Introducing Smart Content


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


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)


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


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.


Search & Discovery: ClinicalKey


EMMeT Powered Auto-Suggest


Speed to Answer: Most relevant preview

Linked Data Repository


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


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

17

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


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


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


LDR API Access To Ar4cle Metadata

Trend Analysis Of Special Health Topics



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.


-‐ Discover knowledge from research relevant to a pa3ent profile -‐ Alerts on FDA Announcements.

Linking Patient Data To Evidence-Based Research


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


Thank you. Alan Yagoda [email protected]


elsevier smart content ldr semtech 2012

Health & Medicine