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2015 “Privacy In Action” Speaker Series January 28, 2015 Innovative Technologies to Increase Privacy Dial-in: 1-855-767-1051 and Conference ID: 34619328.

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Presentation on theme: "2015 “Privacy In Action” Speaker Series January 28, 2015 Innovative Technologies to Increase Privacy Dial-in: 1-855-767-1051 and Conference ID: 34619328."— Presentation transcript:

1 2015 “Privacy In Action” Speaker Series January 28, 2015 Innovative Technologies to Increase Privacy Dial-in: and Conference ID:

2 PRIVACY AND RECORDS MANAGEMENT Administrative Items Do not use your computer microphone to participate in this meeting. Lync will be used only as a display. Please dial in using the following information: – Phone number: – Conference ID: Please mute your computer microphone and speakers. This will eliminate feedback on the line and make it easier for you and your colleagues to hear the presentation. The presenters will address questions during the Q&A session at the end of each presentation. For those online, please feel free to type your questions into the Lync Instant Messenger. Send technical issues to

3 PRIVACY AND RECORDS MANAGEMENT Welcome and Introduction of Speakers LaShaunne’ David Director, VA Privacy Service U. S. Department of Veterans Affairs

4 REPORT TO THE PRESIDENT BIG DATA AND PRIVACY: A TECHNOLOGICAL PERSPECTIVE May 2014

5 Charge from President Obama  January 17, 2014 speech requesting analysis of big-data implications for policy  Scoping study, focusing on the wider economy and society  PCAST report to inform and accompany White House report  Objectives of the PCAST report  Assess current technologies for managing and analyzing big data and preserving privacy  Consider how such technologies are evolving  Explain what technological capabilities and trends imply for design and enforcement of public policy to protect privacy in big- data contexts

6 Presidents Council of Advisors on Science and Technology (PCAST) PCAST Working Group Members & Staff Susan Graham, Co-Chair, UC Berkeley William Press, Co-Chair, University of Texas S. James Gates, Jr., University of Maryland Mark Gorenberg, Zetta Venture Partners John P. Holdren, OSTP Director Eric Lander, Broad Institute of Harvard and MIT Craig Mundie, Microsoft Corp. Maxine Savitz, National Academy of Engineering Eric Schmidt, Google, Inc. Marjory S. Blumenthal, PCAST Executive Director Michael Johnson, OSTP (NSIA Assistant Director ) Other PCAST Members Rosina Bierbaum, University of Michigan Christine Cassel, National Quality Forum Christopher Chyba, Princeton University Shirley Ann Jackson, RPI Chad Mirkin, Northwestern University Mario Molina, UC San Diego Ed Penhoet, Alta Partners Barbara Schaal, Washington University Daniel Schrag, Harvard University

7 Changing Technological Contexts  Privacy history conditioned on “small data”  Collection of data/development of data sets used w/conventional statistics  Context of a personal relationship (e.g., personal physician, local shop)  Big data attributes  Quantity and variety of data available to be processed (3 Vs)  Scale of analysis that can be applied to those data (“analytics”)  Expansion of metadata  Laws have not always kept pace w/technological realities

8 People Emit Data Continuously... Born digital  Generated for computer(s)  Clicks and taps, GPS, cookies Born analog  Byproduct of the physical world  Sensors collect (often invisibly) Over-collection? Digital convergence? Big-data analytics create new information  Data mining and machine learning  Data fusion and integration (data from different sources)  Image/speech recognition  Social-network analysis (self-censorship won’t help…)

9 The Cloud as Dominant Infrastructure  Easy ingestion, access, and use of data  Replication and distribution  Infrastructure for mobility (e.g., smart-phone apps)  Potential security benefits from automation, procedures, oversight  Democratization of analytics

10 Cybersecurity and Privacy: Distinctions and Dependency  Cybersecurity: technologies enforce policies for computer use and communication  Systems to protect identity and to authenticate (are you who you say)  Harder to codify privacy policy for tech implementation  Poor cybersecurity is a threat to privacy, but...  Violations of privacy are possible with no failure in computer security  Misuse of data, fusion of data  Cybersecurity: necessary but not sufficient

11 Technologies and Strategies for Privacy Protection  Cryptography and encryption  Anonymization and de-identification  Data deletion and ephemerality  Notice and consent

12 Areas of Concern: Examples  Healthcare:  Personalized medicine (including genetic info); mobile devices that monitor  Education:  New online platforms collect masses of data, enable longitudinal datasets  Home:  More ways of collecting, storing, and communicating

13 What Might the Future Look Like?  Taylor Rodriguez packs for a trip, leaves suitcase outside home for pick-up  Camera on streetlight watches the suitcase, which has an RFID tag (anti-theft)  Her suitcase is picked up at night by delivery company  Shipper knows Taylor’s itinerary and plans  Self-driving car arrives, its instructions for her itinerary delivered by the cloud  No boarding passes or queues at the airport  Everyone is tracked by phone, facial recognition, gait, emotional state, RFID tags  In this world, the cloud and robotic aides are trustworthy WRT personal privacy  Improvements in convenience and security of everyday life become possible...  Not an endorsement, just food for thought!

14 PCAST Perspectives and Conclusions  New sources of big data are abundant; new analytics tools will emerge  New data aggregation and processing can bring enormous economic and social benefits.  Unintentional leaking of data and deliberate systemic attacks on privacy are potential risks  Cannot always recognize privacy-sensitive data when collected—may emerge w/analytics, may be able to home in on the moment of particularization to an individual  Government role to prevent breaches of privacy that can harm individuals, groups  Tech plus law/regulation to generate incentives, contend with measure-countermeasure cycle  Data collectors, data analyzers, and users of analyzed data as different actors  Policy can intervene at various stages of this value chain  Attention to collecting practices may reduce risk, but use is the most technically feasible place to apply regulation  Technological feasibility matters

15 Recommendation 1: Policy attention should focus more on the actual uses of big data and less on its collection and analysis  Any adverse consequences of big data arise from a program/app interacting with raw data or information refined via analytics  Policies focused on the regulation of data collection, storage, retention, a priori limitations on applications, and analysis (absent identifiable actual uses of the data or products of analysis) are unlikely to yield effective strategies for improving privacy  It is not the data themselves that cause the harm, nor the program itself (absent any data), but the confluence of the two

16 Recommendation 2: Policies and regulation should not embed particular technological solutions, but rather should be stated in terms of intended outcomes  Technology alone is not sufficient to protect privacy  To avoid overly lagging the technology, policy concerning privacy protection should address the purpose—the “what” — rather than prescribe the mechanism—the “how”  Controlling the use of personal data is more effective than regulating technologies of data collection, storage, and retention (these may evolve rapidly)

17 Recommendation 3: With support from OSTP, the NITRD agencies should strengthen U.S. research in privacy-related technologies and in the relevant areas of social science that inform the successful application of those technologies  Some of the technology for controlling uses already exists  Research and research funding are needed for (1) technologies that help to protect privacy, (2) social mechanisms that influence privacy-preserving behavior, and (3) legal options that are robust to changes in technology and create appropriate balance among economic opportunity, national priorities, and privacy protection

18 Recommendation 4: OSTP, together with the appropriate educational institutions and professional societies, should encourage increased education and training opportunities concerning privacy protection  Career paths for professionals (e.g., digital-privacy experts both on the software-development side and on the technical-management side)  Programs that provide education leading to privacy expertise are essential and need encouragement

19 Recommendation 5: The United States should adopt policies that stimulate the use of practical privacy- protecting technologies that exist today. It can exhibit global leadership both by its convening power and also by its own procurement practices  Nurture the commercial potential of privacy-enhancing technologies through U.S. government procurement and through the larger policy framework  Promote the creation and adoption of standards  Cloud computing offers positive new opportunities for privacy  Privacy-Preserving Cloud Services?  PCAST is not aware of more effective innovation or strategies being developed abroad

20 White House/“Podesta” Policy Recommendations 1. Advance the Consumer Privacy Bill of Rights 2. Pass National Data Breach Legislation 3. Extend Privacy Protections to Non-U.S. Persons 4. Ensure Data Collected on Students in School is used for Educational Purposes 5. Expand Technical Expertise to Stop Discrimination 6. Amend the Electronic Communications Privacy Act

21 Questions? Marjory S. Blumenthal, Executive Director, PCAST

22 Lucia Savage Chief Privacy Officer ONC Update and Data Segmentation for Privacy (DS4P) Update Veterans Administration Data Privacy Day January 28, 2015

23 10 Year Interoperability Vision ( fall 2014) Leverage health IT to increase health care quality, lower health care costs and increase population health Focus on supporting health broadly, including but not limited to health care delivery Build incrementally over time from current technology – multiple methods of exchange required Establish best minimum possible interoperability for all; create opportunities for innovation Empower and maintain focus on individuals 23

24 Vision for the Decade Ahead – Improvements Due to the Sharing of Interoperable Data 2017 Connect Care: Ensure providers and individuals can send, receive, find and use a basic set of essential health information 2020 Connect for Health: Expand sources and users of information; Continue improving quality and lowering cost; Increase automation Scale broadly 2024 Learning Health System: Precision medicine Reduce time from evidence to practice Virtuous learning cycle 24 Core technical standards and functions Certification to support adoption and optimization of health IT products & services Privacy and security protections for health information Supportive business, clinical, cultural, and regulatory environments Rules of engagement and governance

25 Data Segmentation for Privacy (DS4P) Goal: – Develop technical standards, develop use case, and pilot use case testing whether: Patient choice to disclose, or not, information regulated by 42 CFR Part 2 (substance abuse treatment at a federally regulated facility), can be captured, documented and persisted electronically. Office of the National Coordinator for Health Information Technology

26 Purpose of Use: –Defines the allowed purposes for the disclosure (e.g. Treatment, Emergency Treatment etc). Obligations: –Refrain Codes: Specific obligations being placed on the receiving system (e.g. do not re-disclose without consent) Confidentiality Codes: –Used by systems to help convey or enforce rules regarding access to data requiring enhanced protection. Uses “highest watermark” approach. Types of Privacy Metadata used by DS4P 26

27 Selected Standards 27 STANDARD: HL7 Implementation Guide: Data Segmentation for Privacy (DS4P), Release 1 (Includes Content Profile, Profile for Direct, Profile for exchange) Capability Standards/Profiles used by the HL7 DS4P R1 Standard Specific Usage Metadata Vocabularies (for Transport and/or Document Metadata) HL7 RefrainPolicy Conveys specific prohibitions on the use of disclosed health information (e.g. prohibition of redisclosure without consent) HL7 PurposeofUse Conveys the purpose of the disclosure of health information (e.g. treatment, research, emergency) HL7 BasicConfidentialityCodeKind Used to represent confidentiality codes associated with disclosed health information (e.g. restricted) as specified in the HL7 Healthcare Security Classification standard (HCS). HL7 ObligationCode Used to convey specific obligations associated with disclosed health information (e.g. encryption) HL7 ActPolicyTypeUsed to convey a type of policy HL7 SensitivityPrivacyPolicyUsed to convey the sensitivity level of a specific policy

28 HL7 normative standard which has been approved by ANSI May 2014 Standards facilitate tagging at document and section level ONC pilots tested at document level DS4P Standards 28

29 DS4P PILOT ACCOMPLISHMENTS Data Segmentation for Privacy Initiative 29

30 NETSMART Pilot: The Netsmart DS4P Part 2 solution has been implemented with the community services referral network in Tampa Bay (2-1-1 system), helping them manage restricted data associated with programs regulated by 42 CFR part 2. Pilot Accomplishments 30

31 VA/SAMHSA Pilot: The pilot was successfully tested and demonstrated in multiple venues, including the Interoperability showcase at HIMSS 2013 and the HL7 Plenary meeting in Baltimore, September VA have extended the DS4P capabilities to demonstrate utilization of FHIR for DS4P (demonstrated at HL7 in Jan 14, in real time, using resources from Australia, Canada and USA). Pilot Accomplishments 31

32 HITPC Recommendations re Incorporating Standards into EHRs Context – ONC contemplating expanding certification program to “voluntary” EHRs for Behavioral Health and Long Term and Acute Care No MU incentives Aim of promoting exchange of data with primary care providers Office of the National Coordinator for Health Information Technology

33 Questions?

34 PRIVACY AND RECORDS MANAGEMENT Thanks for Attending! Thank you for attending the first of four 2015 VA Privacy Service “Speaker Series.” – We value your feedback, opinions and comments! – After this session, you will receive a short questionnaire via . Please take a moment to complete upon receipt. To self-certify Lync Meeting attendance in the Talent Management System (TMS), search: – Item Title: Privacy In Action - Speaker Series 2015: Innovative Technologies to Increase Privacy – TMS ID: Visit the new VA Privacy Service website at to learn more about Privacy within VA.http://vaww.oprm.va.gov/privacy/


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