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Dennis OConnor

Invasive Yet Inevitable? Privacy Normalization Trends in Biometric Technology - 0 views

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    Abstract As biometric technology relies on bodily, physical information, it is among the more intrusive technologies in the contemporary consumer market. Consumer products containing biometric technology are becoming more popular and normalized, yet little is known about public perceptions concerning its privacy implications, especially from the perspective of human agency. This study examines how people perceive biometric technologies in different societal contexts and via different agents in control. Our study revealed that, in large part, people's perceptions of biometric technology are context-dependent, based on who retrieves and who benefits from the information and the situation where the data are collected. Participants were much more comfortable with more intrusive biometric technology in airport security than in a grocery store, and if it was employed to improve their health. We conclude by considering the implications of the survey for new threats to personal privacy that arise out of emerging technologies. Keywords biometric, facial recognition, DNA identification, digital privacy, digital data sharing, emerging technology, surveillance technology, contextual integrity, situational privacy
Dennis OConnor

Dr. Alex Cahana - Pain Expert Says Blockchain Tech Can Help Cure the Ills That Are Hurt... - 0 views

  • We don't need to create these huge data banks that can be hacked and manipulated
  • We don't need to bring the data to the algorithm, the algorithm can go to the data.
  • It is called federated learning which is like machine learning together with privacy-preserving technologies
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  • introducing a whole token economy into healthcare
  • transform people from health service consumers to health and wealth producers
  • transforms digital healthcare from patient-centric to patient-driven
  • here is not only accountability between us, but an interdependence between us if we want all of us to survive and this is the world we are now moving into,
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    "Cahana broke down the possibilities presented by distributed ledger technology. "Blockchain offers an operational environment that allows us to analyze data at its source. We don't need to create these huge data banks that can be hacked and manipulated. We don't need to bring the data to the algorithm, the algorithm can go to the data. It is called federated learning which is like machine learning together with privacy-preserving technologies," said Cahana. "The idea of introducing a whole token economy into healthcare is to transform people from health service consumers to health and wealth producers. As opposed to artificial intelligence (AI), machine learning, genomics, telemedicine, and all these things that are innovative and are general-purpose technologies that make things faster, better and cheaper, blockchain really is disruptive in the business model. It really transforms digital healthcare from patient-centric to patient-driven. People can drive their own health similar to how they invest in their wealth.""
Dennis OConnor

Privacy Policy | Smart Patients - 0 views

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    "our Choices and Information Sharing Smart Patients gives you important choices about controlling your personal information - whom you let see it, how much, and when. We encourage you to make these choices thoughtfully. Your choices include: Whether you want to browse the website anonymously or create an account and provide us your personal information; Whether you want to join Community Discussion relating to a particular condition; How much health or other personal information you want to share with other patients and caregivers through Community Discussion; Whether you want to participate in surveys we may offer from time to time. The nature of the survey and the form in which the results will be disclosed will be explained to you in advance; Whether you want to participate in any other opportunity we may offer to share your health information with others. For example, if we think you have written something in a Community Discussion that would be particularly helpful to others facing the same condition, we may invite you to post an excerpt from your comments on our public website. Any such opportunity would be clearly explained to you in advance, and whether you decide to share your information would be entirely up to you; Discontinuing active participation or closing your account at any time."
Dennis OConnor

11 HIPAA and Medical Records Privacy Myths for Patients - 0 views

  • You can be an empowered patient or advocate by knowing the basics of HIPAA and having the confidence to request records from providers. Here are some myths about HIPAA and how they affect you, the patient.
  • Myth: HIPAA Prevents Sharing of Information With Family Members
  • Myth: Only Patients or Caregivers May Get Copies of Health Records
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  • Myth: Employers Are Payers and Can Gain Access to an Employee's Records
  • Myth: HIPAA Laws Prevent Doctors From Exchanging Email With Their Patients
  • Myth: Providers Are Required by Law to Provide All Medical Records to You
  • Myth: Patients Denied Access to Their Records May Sue to Get Copies
  • Myth: HIPAA Laws Cover Privacy and Security for All Medical Records
  • Myth: Providers Are Required to Correct Any Errors Found in Patient Records
  • Myth: Your Health and Medical Records Cannot Affect Your Credit Records
  • Myth: Medical Information Cannot Be Legally Sold or Used for Marketing
  • Myth: HIPAA Can Be Used as an Excuse
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    "You can be an empowered patient or advocate by knowing the basics of HIPAA and having the confidence to request records from providers. Here are some myths about HIPAA and how they affect you, the patient."
Dennis OConnor

Google Drive | Slack App Directory - 0 views

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    App Directory Browse Manage Build Precision Healthcare Ecosystem Your settings have been saved. Browse Apps Google Drive Edit configuration Google Drive Added by Dennis OConnor on August 31st, 2018 * Google Drive lets you store files securely online, access them from anywhere, and collaborate with others. Add the Google Drive app to create Google Docs, import any type of file from Google Drive, and get notifications on new comments, files, and access requests - all without leaving your conversations in Slack. Authentication The Google Drive integration is built in for your workspace, but it must be configured for each individual member who wants to import Google Drive files. Authenticated as: askus@precisionhealthcareecosystem.org Usage Guide Use Google Drive within Slack to: Share and manage access to your files - either to view, edit, or leave comments - from within Slack. Get updates in Slack on changes in Drive, like comments, access requests, and new files shared with you. Reply directly to comments from within Slack and have them posted to the file. Continue the conversation with any additional comments in Google Drive going straight into that Slack thread. Find your files quickly, even if you don't remember their name, by searching directly in Slack. Slack automatically indexes the contents of any Google Drive file you share so you can find when you need it. Create new Google Docs, Slides, and Sheets directly from Slack by clicking the "+" button to the left of the Slack message box. Import an existing file from Google Drive directly from Slack by clicking the "+" button or pasting a link. You'll see a preview of the file in Slack. Customize Name Choose the name that this integration will post as. Using Slack Product Enterprise Pricing Support Slack Guides App Directory API Slack Jobs Customers Developers Events Blog Podcast Slack Sh
Dennis OConnor

Barbarians at the Gate: Consumer-Driven Health Data Commons and the Transformation of C... - 0 views

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    "Current research and privacy regulations, which were designed for clinical research and for small-data studies of the past, cannot support creation of the vast data resources that 21st-century science needs. These regulations enshrine data-holders (hospitals, insurers, and other entities that store people's data) as the prime movers in assembling large-scale data resources for scientific use and rely on mechanisms - such as de-identification of data and waivers of individual consent - that are unworkable going forward. They shower individuals with unwanted, paternalistic protections - such as barriers to access to their own research results - while denying them a voice in what will be done with their data."
Dennis OConnor

Evidation Health - 0 views

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    Discovered by Dr. Kurisu, "Great marketing and such. The model seems very similar to Luna but leaning heavily on wearable and lifestyle devices etc…" "Evidation's mission is to empower everyone to participate in better health outcomes. Evidation measures health in everyday life and enables anyone to participate in ground-breaking research and health programs. Built upon a foundation of user privacy and control over permissioned health data, Evidation's Achievement platform is trusted by millions of individuals-generating data with unprecedented speed, scale, and rigor. We partner with leading life sciences and healthcare companies to understand health and disease outside the clinic walls."
Dennis OConnor

Dr. Alex Cahana: Positive Impact, Healthcare and Technology - Top Tier Impact - 0 views

  • our impact is the footprint we impress around us. For it to be a halo rather than a shadow, we must remember that although it is important to “do things right”, it’s fundamental to “do the right thing”.
  • The idea of ‘going back to normal’ is gone, because it is the ‘normal’ that brought us this non-sustainable reality.
  • change is not an organizational challenge. It is an emotional one. We are our own biggest obstacle to change. 
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  • The impact of owning your health data
  • Imagine a world where health information is like money. Personal, private, valuable, and safe inside a secure wallet.
  • You treat your health like wealth, and you can inherit it to your nears or donate it to society.
  • earning money and tokens, through healthy behavior (Universal Health Income)
  • involving the community as translators, amplifiers and ambassadors
  • If we take out the ‘I’ in illness and replace it with ‘we’, we get wellness, and that is quite the impact!
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    "It is therefore imperative to invest in decentralized and privacy preserving technologies, like blockchain, verifiable computing and federated learning to create cyber-resilient systems. We need to invest in providing self-sovereign digital identities (DID) to all (SDG 16.9), because without an identity we are invisible. We are unable to access healthcare, vote, open a bank account, get employment and at risk for exploitation and trafficking. Owning our digital identity provides accurate population data, while governments and organizations can monitor key demographics, public health indicators and deliver basic human services and socio-economic planning without the risk of surveillance and exclusion."
Dennis OConnor

Alex Cahana Moderates: BBA Blockchain in Healthcare - 0 views

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    Cahana: I will be moderating two one-hour panels on the use of #Blockchain in #Healthcare and #LifeSciences in our #covidー19 world. Specifically you will learn from our experts: Heather Leigh Flannery, Bernhard Salb, Synho Do and Ahmed Abdulla the latest about current solutions in data privacy, security, sovereignty as well as how to #incentivize data sharing to combat the global challenges we are facing. Many thanks to Caroline Dennis for her impeccable organization and the Boston Blockchain Association (BBA) Association for supporting this event.
Dennis OConnor

Risks and remedies for artificial intelligence in health care - 0 views

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    "A rapidly entering health care and serving major roles, from automating drudgery and routine tasks in medical practice to managing patients and medical resources. As developers create AI systems to take on these tasks, several risks and challenges emerge, including the risk of injuries to patients from AI system errors, the risk to patient privacy of data acquisition and AI inference, and more. Potential solutions are complex but involve investment in infrastructure for high-quality, representative data; collaborative oversight by both the Food and Drug Administration and other health-care actors; and changes to medical education that will prepare providers for shifting roles in an evolving system."
Dennis OConnor

Building a Secure Biomedical Data Sharing Decentralized App (DApp): Tutorial - 0 views

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    ABSTRACT Decentralized apps (DApps) are computer programs that run on a distributed computing system, such as a blockchain network. Unlike the client-server architecture that powers most internet apps, DApps that are integrated with a blockchain network can execute app logic that is guaranteed to be transparent, verifiable, and immutable. This new paradigm has a number of unique properties that are attractive to the biomedical and health care communities. However, instructional resources are scarcely available for biomedical software developers to begin building DApps on a blockchain. Such apps require new ways of thinking about how to build, maintain, and deploy software. This tutorial serves as a complete working prototype of a DApp, motivated by a real use case in biomedical research requiring data privacy. We describe the architecture of a DApp, the implementation details of a smart contract, a sample iPhone operating system (iOS) DApp that interacts with the smart contract, and the development tools and libraries necessary to get started. The code necessary to recreate the app is publicly available.
Dennis OConnor

Which Covid-19 Data Can You Trust? - 0 views

  • incomplete or incorrect data can also muddy the waters, obscuring important nuances within communities, ignoring important factors such as socioeconomic realities, and creating false senses of panic or safety, not to mention other harms such as needlessly exposing private information.
  • Right now, bad data could produce serious missteps with consequences for millions.
  • Whether you’re a CEO, a consultant, a policymaker, or just someone who is trying to make sense of what’s going on, it’s essential to be able to sort the good data from the misleading — or even misguided.
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  • common red flags
  • Data products that are too broad, too specific, or lack context.
  • Public health practitioners and data privacy experts rely on proportionality
  • only use the data that you absolutely need for the intended purpose and no more.
  • Even data at an appropriate spatial resolution must be interpreted with caution — context is key.
  • Simply presenting them, or interpreting them without a proper contextual understanding, could inadvertently lead to imposing or relaxing restrictions on lives and livelihoods, based on incomplete information.
  • The technologies behind the data are unvetted or have limited utility.
  • Both producers and consumers of outputs from these apps must understand where these can fall short.
  • In the absence of a tightly coupled testing and treatment plan, however, these apps risk either providing false reassurance to communities where infectious but asymptomatic individuals can continue to spread disease, or requiring an unreasonably large number of people to quarantine.
  • Some contact-tracing apps follow black-box algorithms, which preclude the global community of scientists from refining them or adopting them elsewhere.
  • These non-transparent, un-validated interventions — which are now being rolled out (or rolled back) in countries such as China, India, Israel and Vietnam — are in direct contravention to the open cross-border collaboration that scientists have adopted to address the Covid-19 pandemic.
  • Models are produced and presented without appropriate expertise.
  • Epidemiological models that can help predict the burden and pattern of spread of Covid-19 rely on a number of parameters that are, as yet, wildly uncertain.
  • n the absence of reliable virological testing data, we cannot fit models accurately, or know confidently what the future of this epidemic will look like
  • and yet numbers are being presented to governments and the public with the appearance of certainty
  • Read Carefully and Trust Cautiously
  • Transparency: Look for how the data, technology, or recommendations are presented.
  • Thoughtfulness: Look for signs of hubris.
  • Example: Telenor
  • Expertise: Look for the professionals. Examine the credentials of those providing and processing the data.
  • Open Platforms: Look for the collaborators.
  • technology companies like Camber Systems, Cubeiq and Facebook have allowed scientists to examine their data,
  • The Covid-19 Mobility Data Network, of which we are part, comprises a voluntary collaboration of epidemiologists from around the world analyzes aggregated data from technology companies to provide daily insights to city and state officials from California to Dhaka, Bangladesh
  • This pandemic has been studied more intensely in a shorter amount of time than any other human event.
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    "This pandemic has been studied more intensely in a shorter amount of time than any other human event. Our globalized world has rapidly generated and shared a vast amount of information about it. It is inevitable that there will be bad as well as good data in that mix. These massive, decentralized, and crowd-sourced data can reliably be converted to life-saving knowledge if tempered by expertise, transparency, rigor, and collaboration. When making your own decisions, read closely, trust carefully, and when in doubt, look to the experts."
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