TODAY –2:15 pm –3:15 pm Science Track: Challenges to Managing Big Data– MassBio Annual Meeting 2014, Royal Sonesta Hotel, Cambridge, MA
Reporter: Aviva Lev-Ari, PhD, RN
Conference Coverage for Scientific and Social Media:
Panelists:
Bill Crown, Chief Scientific Officer, Optum Labs
Anil Jain, Chief Medical Information Officer, Explorys, Inc.
Iya Khalil, Executive Vice President and Co-Founder, GNS Healthcare
Peter Neumann, Director, Center for the Evaluation of Value and Risk in Health at the Institute for Clinical Research and Health Policy Studies at Tufts Medical Center
Moderator:
Jeff Elton, Managing Director of Life Sciences, Accenture – Data assets substential in size, Value in the data,
Bill Crown: Quality of data clinical info utilization data for CLINICAL RESPONSE PER $ SPENT
Observational clinical trials, randomization, Medical Record, emergence of data infrastructure.,
150 lifes of medical records, methods to encript Patient privacy.EMR – are in different foramts, hoop patient data with claim data – challence. DIg data methods Google and Amazon are predicting behavior. in Health the importance is if a Treatment HELPS and CLinical Responses is the value thought after.
Data help to design a Clinical Trial III, make assumptions on hypothesis per indicationa,
Big Trial comes up retrospective study result come out different, different variation observational vs clinical
META ANALYSIS, aggreagtion, look at averages.Clinical Depression – keep tying vs. Genetic data to select the SSRI
very important the methods used in analysis
Anil Jain: Cost for integration: EMR, Providers will be reimbursed per outcome – VALUE – is cost of delivery vs quality of data , EMR imaging – dats included gets larger, Reimbursment, ROI for EMR investment still low, EMR has alerts to the provider, need for synergy
Iya Khalil: Characterize Oncology, deapth of data need subjected to algorithms for prediction. Personalize learn from data. Pharma – data analysis accelerate the therapy availabiity
Peter: Data Science – what works in Population Health vs Innovations, Excitance prediction of election results, Data Quality, association by error not by causality, being humble is required. Data Clustering in MA i.e., GNS
- Private vs Public
- symptoms data new in Aanlytics
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