Tutorials

Please review below our ICHI 2018 Tutorials presenters. We think this remarkable set of speakers will inspire you in your respective work!

An interactive tutorial on simulated pharmacogenomic clinical trials

Author: Kourosh Ravvaz

Tutorial Description and Scope

During this presentation, we will elaborate and demonstrate a new approach to enhance clinical trial design using electronic health records combined with computer simulation. Topics covered will include, data mining from electronic health records (EHRs), the limitations of simulation results, testing and validation and lastly dissemination of results through living papers.

Intended Audience

Our primary audience is clinical researchers looking for ways to translate their scientific discoveries more rapidly to clinical practice. A second audience is for bioinformatic students and young professionals who are looking for innovative ways to connect big data discoveries to clinical care. Some interactive portions will require novice technology level skills. Other interactive portions will require expert level technology skills, but will be optional.

New Knowledge from the Tutorial

We will help the audience replicate the study design from our recent simulated clinical trial experiment (PMID: 29237680), using open source software, public data and the interactive results visualization tool, viewed online at https://ari-cds-ar.shinyapps.io/circcvg_paper_app/. The primary thesis of our presentation will elucidate what we call backwards-design for simulated clinical trials. We hope that the lessons we learned will help other students of informatics more wisely design and craft similar simulation studies, mainstreaming simulation into clinical research.

Is the best model also the right solution?

Author: Mark Kanner

This tutorial will provide participants hands-on experience in building models using medical claims data to answer a business question. The aim is for the participant to complete the entire cycle of forming a problem statement, exploring the data and building a model to answer a real world business question, utilizing a tool of their choosing. This will be accomplished by focusing on a real world case study, providing the relevant data for the participants and scaffolding a solution as they go through the steps outlined above. The participants will first brainstorm and share their own ideas before hearing how instructors have handled these challenges. Modeling and validation will be addressed, however special attention will be paid to formulating a solution that is tailored to address the business problem and choosing the appropriate analytics approach to accomplish this; Is the information provided by the model actionable? Can a business partner use these results to make decisions? We believe this emphasis on real world application will provide a unique experience to the participants and equip them with techniques to use in practice. Healthcare informatics practitioners would have the opportunity to learn specific analytic approaches relevant to them. Students who may understand the process of modeling would gain experience in applying those skills in an open ended task.

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