“Knowledge Management in Biomedical Translational

Research”

HIKM-ACW

HIKM ---- 1 Feb 2012

Fernando J. Martin-Sanchez Professor and Chair of Health Informatics

Melbourne Medical School Faculty of Medicine, Dentistry & Health Sciences

& Director, Health and Biomedical Informatics Research (HBIR) Unit

Outline

• Biomedical translational research • The role of knowledge management • HBIR@UniMelb

Biomedical

Translational Research

---The ultimate goal of translational medicine is the development of new treatments and insights towards the improvement of health across populations.---

Woolf, SH. JAMA 2008

USA: 7 NCBC + 60 CTSA + 1 new NCATS

www.ScienceTranslationalMedicine.org 6 July 2011 Vol 3 Issue 90

Transdisciplinary paths – research teams

Bench (Bioscientist)

WHAT Bedside (Clinician)

Population (Epidemiologist)

HOW Society at large (Health services researcher)

WHY

KN

OW

LED

GE

MA

NA

GE

ME

NT

Translate basic research findings into clinical solutions

Facilitate structured, standardized, anonymized clinical data sets for research Evaluate the efficacy of

Interventions across communities

Assess impact on health policies

Biomedical Informatics: Biomedical Information processing from particle to population

Altman RB, Balling R, Brinkley JF, Coiera E, Consorti F, Dhansay MA, Geissbuhler A, Hersh W, Kwankam SY, Lorenzi NM, Martin-Sanchez F, Mihalas GI, Shahar Y, Takabayashi K, Wiederhold G. "Commentaries on Informatics and medicine: from molecules to populations". Methods Inf Med. 2008;47(4):296-317.

Multilevel modeling, ontologies, data integration, data mining, …

The role of Knowledge

management

The role of knowledge management to facilitate translational research

•  Update researchers and clinicians on the latest developments within relevant areas

•  Data integration (putting into context molecular information from the patient with existing biomedical knowledge on the web)

•  Assess the clinical relevance of biomarkers

•  Supporting decision making through new clinical guidelines, and alerting systems which take into account genetic data from patients

•  Education of patients and health professionals in genomics and informatics

SPECTRUM OF BIOMEDICAL KNOWLEDGE IN INTERNET

Courses ‏

Archive of topics

USES (several formats and applications)‏‏

Webs

News‏ Scientific Documents (White Paper, articles)‏

RSS feeds

Maths Physics Chemistry Biology Medicine Engineering ….

BIKMAS SYSTEM

(Biomedical Information Knowledge

Management Antena System)‏

- Knowledge management - BIKMAS

•  Blogs •  Journals •  Podcasts •  Bookmarks •  News •  Slideshare •  Videos

Knowledge management

Questions – Data integration

•  What are the main features of the disease? •  Are there any drugs for the disease? •  Are there any gene therapies or clinical trials for the disease? •  What laboratories perform genetic tests for the disease? •  What genes cause the disease? •  On which chromosomes are these genes located? •  What mutations have been found in these genes? •  What names are used to refer to these genes? •  What are the proteins coded by these genes? •  What are the functions of the gene product? •  What is the 3D structure for these proteins? •  What are the enzymes associated to these proteins?

DiseaseCard

•  DiseaseCard •  Collaboration with

University of Aveiro •  Integrates information

from 20 reference databases

•  2000+ genetic diseases

http://www.diseasecard.org

Dias GS, Oliveira JL, Vicente J, Martin-Sanchez F. “Integrating medical and genomic data: a successful example for rare diseases”. Stud. Health Technol. Inform. 2006;124:125-30.

Clinical relevance of biomarkers - Biomarkercard

Disease

Biomarkers

Nano - Biotechnology

Knowledge Management

MEDLINE WEB 2.0

Biomedical databases

I N T E R N E T

Imaging

•  Blogs •  Journals •  Podcasts •  Bookmarks •  News

•  OMIM •  Genetests •  Uniprot •  dbSNP •  KEGG •  Enzyme •  PDB…

•  My NCBI •  Pubmed

Education - Genome Game

HBIR @ UniMelb

Model for the new Centre for HBIR

Academic home

Funding Agencies (competitive Grants)

Foundational Contributing member

Support of specific activities Liaison with medical specialties

Foundational Contributing member

Research

•  Three main areas: –  Informatics - personalized

medicine –  Informatics - simulation,

modeling and sensors –  Informatics – e-health

•  All of them aim at: –  Improving health services –  Facilitating translational

research –  Contributing to professional

development

Education

•  Health students and professionals, Engineers & informaticians

•  Experts in the field (Master, PhD in HBI)

•  Undergrad – Bachelor of Biomed, Science •  Postgrad New MD – Across the

Curriculum •  MSc - Offer an elective subject: “eHealth

and Biomedical Informatics Systems” –  MSc Information Science, MSc

Bioinformatics, MSc Biomedical Engineering, MSc Public Health, …

•  2nd Elective subject (eHealth and Biomedical Informatics Methods)

•  4 subjects stream within an existing MSc •  Master and PhD degrees

Collaborative Health Informatics Research Seminar & Social (CHIRSS) Focus on the future of healthcare and new opportunities that are emerging for collaborative R&D in

Health and Biomedical Informatics. Once a month. CHIRSS is supported by the Institute for a Broadband Enabled Society and Victorian eResearch

Strategic Initiative Partnerships Journal club A new Health and Biomedical Informatics journal club has started up, with a focus on strategies for

publishing health informatics research. We meet from 12.00 to 1.00 on the second Tuesday of the month in the ICT Building, 111 Barry Street, level 4, room 9.

Bulletins “Liaisons” with Clinical specialties Web page

http://www.healthinformatics.unimelb.edu.au

Outreach

Scoop.it

Netvibes

Paper.li

© Copyright The University of Melbourne 2012

Thank you for your attention!