BMI 205: Precision Practice with Big Data

BMI 205: Precision Practice with Big Data

Location: Li Ka Shing Center, Room 101 (except for OCT 3rd), Stanford University
Time: Wednesdays 12:15-1:05pm, lunch will be provided and served at 12:00pm.
VIDEOS: Recordings will be posted after each lecture.

Schedule, Fall 2012

Date	Presenter	Department	Title & Abstract	Reading	Questions
Sep 26	Daniel Rubin	Radiology and Medicine (BMIR)	Medicine 2020: Precision Practice with Big Data slides0926	The coming age of data-driven medicine Quantitative multi-modal imaging of treatment response	Q-week1
Oct 3	Eric Brown Location: LKSC Rm. 130	Thomas J. Watson Research Center, IBM	Watson: The Jeopardy! Challenge and Beyond	Building Watson: An Overview of the DeepQA Project Watson: Beyond Jeopardy This is Watson!	Q-week2
Oct 10	Mary Goldstein	Medicine, VA Palo Alto Health Care System	EHR Data for Complex Clinical Decision Support (CDS) and Quality Improvement: opportunities and challenges	Translating research into practice Home blood pressure management and improved blood pressure control Designing an automated clinical decision support system	Q-week3
Oct 17	Jennifer Frankovich	Pediatrics - Rheumatology	Evidence based medicine with EMR data	Evidence-Based Medicine in the EMR Era STRIDE – An Integrated Standards-Based Translational Research Informatics Platform Perspectives for Medical Informatics : Reusing the Electronic Medical Record for Clinical Research	Q-week4
Oct 24	Jaap Suermondt	Medical Informatics, hp	Situational Awareness in Healthcare	Decrease in Hospital-wide Mortality Rate After Implementation of a Commercially Sold Computerized Physician Order Entry System Enabling Clinicians to Directly Deploy Clinical Logic in a Patient Safety Dashboard Unexpected Increased Mortality After Implementation of a Commercially Sold Computerized Physician Order Entry System Effect of a Rapid Response Team on Hospital-wide Mortality and Code Rates Outside the ICU in a Children’s Hospital Bridging the gap Sensitivity of the Pediatric Early Warning Score to Identify Patient Deterioration	Q-week 5
Oct 31	Atul Butte	Biomedical Informatics	Transforming 300 Billion Points of Data into Diagnostics, Therapeutics, and New Insights into Disease	Expression-based genome-wide association study links the receptor CD44 in adipose tissue with type 2 diabetes Discovery and preclinical validation of drug indications using compendia of public gene expression data	Q-week6
Nov 7	Albert Chan	Family Medicine, Palo Alto Medical Foundation	Translating Legislation into Clinical Reality: Using electronic and personal health records meaningfully to create an ecosystem for health and wellness @paloaltomedical	PAMFOnline: integrating EHealth with an electronic medical record system Electronic Health Records in Ambulatory Care— A National Survey of Physicians HITECH An Interoperetta in Three Acts Meaningful Use Stage 2 Tipsheet	Q-week7
Nov 14	Russ Altman	Biomedical Informatics	An emerging network of data to understand gene-drug interactions	Detecting drug interactions from adverse-event reports Discovery and explanation of drug-drug interactions via text mining Clinical assessment incorporating a personal genome	Q-week8
Nov 21	No Class
Nov 28	Nigam Shah	Biomedical Informatics	Data-driven decision making in medicine	None :)	Q-week9
Dec 5	Robert Shafer	Medicine - Infectious Diseases, Pathology	HIVDB: An online database and suite of analysis tools for HIV drug resistance knowledge discovery.	Predictive Value of HIV-1 Genotypic Resistance Test Interpretation Algorithms Genotypic predictors of human immunodeficiency virus type 1 drug resistance HIV-1 protease and reverse transcriptase mutations for drug resistance surveillance	Q-week10

Announcements

Lecture on Oct 3rd will be held at LKSC Rm. 130. Dr. Eric Brown will join us via video conference.
Welcome to BIOMEDIN 205!

Staff

Professor: Daniel Rubin, M.D., M.S.
TA: Shanshan Tuo (stuo@stanford.edu)

Mailing List

Non-enrolled students who would like to receive announcements: please email me (stuo@stanford.edu) your request with BMI 205 included in the subject line.

The only requirement is weekly attendance. If you are unable to attend, you will need to view the videotaped seminar and complete a short written assignment / answer questions based on the content of the seminar. These make-up questions will be posted shortly after lecture and are due prior to the next scheduled talk. Submit by emailing to stuo@stanford.edu with BMI 205 at the beginning of the subject line.

BMI 205: Precision Practice with Big Data

Schedule, Fall 2012

Announcements

Staff

Mailing List

Requirements

Past Quarters