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In Search of Allies – Sharing Research Interests and Contributing to Projects at UW

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In Search of Allies – Sharing Research Interests and Contributing to Projects at UW In search of allies – sharing research interests and contributing to projects at UW Prof. Dr. Thomas Wetter Heidelberg University University of Washington – August 25, 2011 What you will be doing the next nine hours .. • .. I don‘t know. • But for the next 40 minutes I‘ve a suggestion .. Follow me Thomas Wetter in a nutshell • Where I‘m from • What I‘m working on – MI in the 3rd world – Clinician value oriented software – Knowledge based decision support – Consumer health informatics • Why don‘t you visit us in Heidelberg? • How we can share Heidelberg University Heidelberg Hospital University Inst. f. Med. Biom. and Informatics Founded 1386 Head: Prof. Dr. M. Kieser Section Medical Informatics Full Prof. Dr. Th. Wetter PhD programm Curricula BSc, MSc Medical Informatics Polytech Heilbronn Heidelberg Medical Campus University Hospital • 7,100 employees • 1,455 beds • 53,000 inpatients per year • 715,000 outpatient visits per year Research partners • DKFZ, EMBL, Max-Planck Two Nobel laureates since 1992 Medical Informatics Focal Points Health Data Bioinformatics and Systems Biology Management Knowledge Med. Signal- and Based DSS Image Processing Schwerpunktsthemen der Medizinischen Informatik Integration klinischer und genomischer Daten für die med. Versorgung und Wissenschaft Management von Bioinformatik und Gesundheitsdaten Systembiologie Daten, Informationen und Verteilte Wissen zur Entscheidungs- Integration Datenerfassung, unterstützung in morphologischer, Präsentation und Diagnostik, Therapie, molekularer und Auswertung genetischer Daten Versorgung und Prävention Wissensbasierte Med. Bildverarbeitung Diagnose und Therapie und Mustererkennung Erfassung, Analyse, Modellierung und Interpretation von Signalen und Bildern für Diagnose und Therapie The Neighborhoods Heidelberg The old bridge Heidelberg castle The Neighborhoods Heilbronn The university What I‘m working on 3rd World Medical Informatics With Simon Ndira, PhD eHMIS 1) project • Eastern Uganda • Rural Hospital • Mother and Child Health • Electronic health reporting … → text message reminders for vaccinations • Computerization increases utilization of trained help during labor and delivery 1) electronic Health Management Information System Clinician value oriented software With Barbara Paech, CS Surgery • Medical-SW follows business process Intensiv- metaphor ICU – Approved only, where Surg. • agents have little autonomy Ward • processes are homogeneous • including ERP-functions in a hospital Mobi- lize – Not empirically approved for clinician tasks EDis- charge Fundamental values 1) SchwartzSchwartz SH SH et etal; al;Extending Extending the Cross-Cultural the Cross-Cultur Validityal Validityof the Theory of the of Theory Basic Human of Basic Values Human with a Values Different Methodwith a Different of Measurement; Method J. of Cross-Cult Measurement; Psy 32 519J. Cross-Cult (2001) Psy 32 519 (2001) In place of business processes • Physicians as strongest agents in hospital • What they cherish in life – Values, attitudes • Capture – Social sciences methods • Relate to software-requirements – Methods of requirements engineering Example Benevolence Preservation and enhancement of the welfare of people with whom one is in frequent personal contact. (He always wants to help the people who are close to him. It‘s very important for him to care for the people he knows and likes.) Knowledge based decision support with Anthony Ho, Dept. Onco/Hematol and Andreas Wicht • Knowledge = predictive importance of clinical signs during treatment • Sign = Zeichen (in German) • Knowledge = Wissen Wissensansatz Zeichen 1 Zeichen 2 Zeichen 8 Zeichen 3 Zeichen 4 Zeichen 5 Zeichen 7 Zeichen 9 Zeichen 6 Wissensansatz Zeichen 1 Zeichen 2 Zeichen 8 Zeichen 3 Zeichen 4 Zeichen 5 Zeichen 7 Zeichen 9 Zeichen 6 Wissensansatz Zeichen 1 Zeichen 2 Zeichen 8 Zeichen 3 Zeichen 4 Zeichen 5 Zeichen 7 Zeichen 9 Zeichen 6 Wissensansatz Zeichen 1 Zeichen 2 Zeichen 8 Zeichen 3 Zeichen 4 Zeichen 5 Zeichen 7 Zeichen 9 Zeichen 6 Wissensansatz Zeichen 1 Zeichen 2 Zeichen 8 Zeichen 3 Zeichen 4 Zeichen 5 Zeichen 7 Zeichen 9 Zeichen 6 Wissensansatz Zeichen 1 Zeichen 2 Zeichen 8 Zeichen 3 Zeichen 4 Zeichen 5 Zeichen 7 Zeichen 9 Zeichen 6 Wissensansatz / Datenpräsentation Zeichen 1 Zeichen 2 Zeichen 8 Zeichen 3 ZeichenZeichen 4 4 ZeichenZeichen 4 4 Zeichen 5 Zeichen 7 Zeichen 9 ZeichenZeichenZeichen 6 6 6 Wissensansatz Sign 1 Sign 2 Sign 8 Sign 3 Sign 4 Sign 5 Sign 7 Sign 9 Sign 6 Projekt ESGOAB Experiment 1: Teilaspekt Unsicherheit modelliert in MS-Excel Sepsis ist das wahrschein- Messwerte lichste Problem, variierend mit ... Regel: Messwert x spricht stark (H4) für Erkrankung „Unklares Fieber“ Knowledge based decision support with Philips Research, Briarcliff NY and Chris Reichelt • Knowledge = what the community knows about a condition Consumer health informatics with Soveno ltd and Fady Albashiti • Tailored web portal technology • Diabetes mellitus 2 primary prevention Diabetes mellitus 2 • World wide health / health care mgmt concern • Effective prevention known • Cost of delivering prevention personally prohibitive • Try to deliver (almost) as well thru web Prevention essentials .. .. for a condition without burden of disease (yet) use • Implementation intention • Self efficacy • Tailored guidance but exclude conflicting diagnoses first Präferenzen Präventionsvertrag: Gewicht Plan Kommunikation: Kontakte/E-Mail Consumer health informatics with Springer publ. company • Textbook • „New services, roles, and responsibilities“ Mind map Why don‘t you visit us in Heidelberg? IPHIE – International Partnership In Health Informatics Education • U of Utah • U of Minnesota • UMIT (near Innsbruck, Austria) • U v Amsterdam, The Netherlands • U‘s Heidelberg/Heilbronn, Germany Why don‘t you visit us in Heidelberg? • ~ 25 student exchanges last 14 years • Mostly outgoing • For incoming: – German language helps, but can do without – Hook up to a project – not only mine or – Conduct some of your research in HD – Baden-Württemberg scholarship How we can share • Attend my class (Tue 12 noon) • Ask me if you believe I could know (no guarantee ;-) ) • Involve me in what you are doing – You can assign me a concrete active role – I‘m willing to do the basics – We can publish together • Let‘s have fun .
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