Big Data for Breast Cancer: A Patient/Advocate Perspective Jane Perlmutter October 8, 2015.
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Transcript of Big Data for Breast Cancer: A Patient/Advocate Perspective Jane Perlmutter October 8, 2015.
Big Data for Breast Cancer: A Patient/Advocate Perspective
Jane PerlmutterOctober 8, 2015
,
1989
Topics• What is Big Data & why is it
important?• What are some issues &
concerns to patients/advocates?
• What can we learn about these issues from examples of Big Data projects?
• How can we make a difference?
What is Big Data?
The Three Vs of Big Data
JP View of What Big Data Is (and Isn’t)Types of Data/Examples
Quantity/ Quality of Data
Inference Method
Interventional—Randomized Clinical Trials
Small / Excellent Analysis of Variance
Observational—Registries, Surveys
Medium / Fair Regression
Unstructured—Social Media, research articles
Large/Challenging Artificial Intelligence, Natural Language Processing
Big Data—Combining Multiple Types & Data Sources
Large / Poor Multi-dimensional Analyics and Visualization Tools
Types of Health Data Patient Records• Patient Charts• Electronic health records
(EHRs)
Billing/Payment History
Patient Provided Input• Patient reported
outcomes• Passively collected patient
data• Social media
Clinical Trials Data
‘omics Data• Mutations• Copy number alterations• INDELs/SNPs• RNA/protein expression• Epigenetics• Metabiome• . . .
Why Big Data?
JP View of Why Big Data
Risk• Immature methodology erroneous inferences
• Breach of security loss of privacy
• Hoarding of data slowing progress
Promise• Better predictions about heath
risks• Faster development of
treatments• More rapid progress toward
precision medicine• More efficient use of health
resources
Patient/Advocate Issues
• Patient/Advocate issues are not unique to them
• Sponsors & Investigators share these concerns, though they sometime take a backseat to technical & scientific issues
• Patients/advocates have a different filter, are more focused on these issues, and can bring them to the forefront
Patient/Advocate Issues
• Research Priorities• Data Quality &
Representativeness• Data Control & Sharing• Who Pays & How is it
Sustained• Security & Privacy• Informed Consent &
Returning Results
OHRP’s NPRM
• OHRP--Office of Human Research Protection
• Common Rule--Rule of ethics regarding biomedical and behavioral research involving human subjects in the US
• NPRM--Notice of Public Rule Making (9/8/15)
Announced New Requirements• Written consent is required for all research use of
biospecimens, even those that have been stripped of identifiers
• Must specify that biospecimens might be used for commercial profit, but not patient profit
• Must specify whether and how relevant research results (individual and/or aggregate) will be disclosed to patients
• Some exempt and all non-exempt research must provide privacy safeguards for biospecimens and identifiable private information. – Surveys, interviews, educational tests, etc.– Secondary research
• Defines data security protections that are required and that they must be described in consent documents
Cancer Big Data Examples and Some Issues They Raise
• ‘Omics: Visualization, analysis and download of large-scale cancer genomics data sets for research
• Learning Systems: Real world data for quality improvement and research
• Clinical Trials: Data sharing from clinical trials for research
Other Interesting Health Examples
• Surveillance: Multi-source data to monitor unidentified toxicities and drug interactions
• Infrastructure: For comparative effectiveness research and other patient-centered health research
• Patient Entered Data: Patient support and information sharing
• Artificial Intelligence Processing:
• Ensure patients/advocates are “at the table” and heard when decisions are made about Big Data projects
• Inform patients/advocates and the public about potential benefits and concerns associated with health data
• Be discriminating in providing support to excellent projects by encouraging patients and researchers to share data
• Learn more
How to Make a Difference?
Take Home Messages
• Big Data has lot’s of potential, but its more complicated than we can imagine– Technical issues– Political/economic issues– Patient ethical issues
• Including patients/advocates from the beginning will lead to better, faster, and more acceptable results