Datavant’s Post

#HealthcareData #SyntheticDataGeneration In an era where healthcare data fuels innovation but grapples with privacy and accessibility challenges, synthetic data generation emerges as a transformative force. This article explores how synthetic data resolves critical healthcare challenges, offering a gateway to secure, representative datasets while navigating stringent privacy regulations. From data scarcity to ethical constraints, synthetic data redefines the possibilities, enabling robust research, fair algorithms, and personalized care without compromising patient privacy. #HealthcareInnovation #PatientPrivacy#HealthcareData #SyntheticDataGeneration In an era where healthcare data fuels innovation but grapples with privacy and accessibility challenges, synthetic data generation emerges as a transformative force. This article explores how synthetic data resolves critical healthcare challenges, offering a gateway to secure, representative datasets while navigating stringent privacy regulations. From data scarcity to ethical constraints, synthetic data redefines the possibilities, enabling robust research, fair algorithms, and personalized care without compromising patient privacy. #HealthcareInnovation #PatientPrivacy https://lnkd.in/gTdzZtuM...

HEALTHCARE ANALYTICS🏥📊 On a scale of 1 to 10, how sensitive can healthcare data be? While it's clear that some data types are highly sensitive, requiring strict controls, other data can be less sensitive and potentially available for broader analysis with the proper authorizations. This leads to an intriguing question: Should we allow controlled access to certain clinical data to individuals outside the organization if it can lead to discovering new trends and improving outcomes? How do we balance the need for privacy with the potential benefits of wider data accessibility? Let's discuss how we can responsibly leverage clinical data while upholding the highest standards of data privacy and ethical use. What protocols do you think are effective for managing data accessibility in healthcare? Share your thoughts! #HealthcareData #DataSecurity #ClinicalData #DataEthics #datasensitivity #datagovernance #dataaccessibility

🌟 Feedback - "Data Privacy for Health U.S. Summit" September 10, 2024 🌟   In the session, "Data Privacy in the US: Emerging Developments," we dove deep into the latest developments in US State law and how both State and Federal enforcement activities are shaping the Life Sciences sector.   💡 Avery Miles' Critical Takeaway? Transparency Notice and Choice!   1️⃣ Clear Communication: Be fully transparent in your public facing policies and notices about what you are doing with health data. Explain this in a readily understood easily digestible format. 2️⃣ Empower Consumers: Give individuals the choice to opt-out or, if health data is being processed, a chance to opt-in.   Don't want to miss next year's edition on the West Coast?  🔔Subscribe to our channel for the latest updates! For more information, feel free to message us at contact@mydata-trust.com.   Let's prioritize Transparency Notice and Choice, and build trust in the Life Sciences community! 💪💙 #LifeSciences #DataTransparency #HealthData #DataPrivacy

A six-tiered governance framework for federated health data, with varying levels of data access and sharing, is proposed to facilitate the use of health data held within more than one secure environment, while preserving privacy. #healthdataframework #healthdatagovernance #subscriptionwarning

Upcoming CIRS/SWB Webinar titled "The art of data privacy - an Introduction to Statistical Data Privacy and Confidentiality" by Dr. Claire McKay Bowen, on September 25, 2024, 12-1:30 PM ET. The webinar series, sponsored jointly by the American Statistical Association’s Committee on International Relations in Statistics (CIRS) and by Statistics Without Borders (SWB), provides introductory lectures by experts on important topics of current interest and is aimed at an international audience. More information is provided below.  The art of data privacy - an Introduction to Statistical Data Privacy and Confidentiality Date/time: 12-1:30pm EST, 25 September 2024 Organized by: CIRS/SWB Webinar series Presenter: Dr. Claire McKay Bowen Register here: t.ly/AMAgZ or https://lnkd.in/dtyQh6_s Abstract: At what point does the sacrifice to our personal information outweigh the public good? In a data-driven era, data users and researchers frequently leverage personal or confidential data to help policymakers make evidence-based, data-informed decisions, such as improving economic recovery or creating a more efficient COVID-19 vaccine distribution. However, access to confidential data comes with several privacy concerns, especially for underrepresented groups. Striking the right balance is crucial to avoid real disclosure risks that may not be obvious, like stalkers utilizing excessive location data or malicious parties learning sensitive medical information through linkable health or genetic data. This talk will cover the importance of balancing these competing needs and walks through the issues the U.S. government and private sector must navigate when collecting and disseminating data. Specifically, the talk will answer the questions of what data privacy and confidentiality is, why should you care, what is being done now, and what are the future challenges using a famous piece of art. We look forward to seeing you there! Best wishes, Alexandra M. Schmidt (for the organizing committee) Professor - The University Chair McGill University https://lnkd.in/dkixBWB9

Integral's CCO, Timothy Nobles joined The Data Diva, Debbie Reynolds, on the latest episode of The Data Diva Talks Privacy to discuss the challenges and importance of data de-identification when working with sensitive healthcare data. Timothy shares how Integral's advanced algorithms and expert-in-the-loop approach streamline the compliance process, reducing the timeline from months to mere days. Listen to the full conversation here: https://hubs.li/Q02yYgyQ0 #dataprivacy #thedatadiva #healthdata

Compared to Safe Harbor, Expert Determination is a more balanced approach to health data de-identification. By conducting a risk-based assessment and considering the unique characteristics of each dataset, expert determination uses statistical methods to minimize re-identification risks while preserving data utility. This approach allows organizations to leverage their health data for research and innovation while maintaining patient privacy but is underutilized due to ambiguity and long timelines. Until now, organizations handling sensitive data have not had a clear understanding of whether or not an expert determination is required. Identifying this as an unnecessary obstacle, Integral has developed technology to change that. By simply uploading a data dictionary, see how Integral’s no-obligation Privacy Preview tool can help you understand the embedded privacy risk within a dataset: https://lnkd.in/ea86YaBK #dataprivacy #healthdata

🌟 Exciting news! 📣 I'll be speaking at DGIQ West about Healthcare Data Governance Challenges. Join me for invaluable insights and discussion around how to navigate the complex world of healthcare data management. Use code 𝐓𝐑𝐈𝐀𝐍𝐆𝐋𝐄 for a 15% discount on registration. Don't miss this chance to elevate your data governance strategies! Plus, catch Mindy Becker, MBA discussing Data Privacy! #HealthcareData 🏥 #DataGovernance #ConferenceSpeaker #DiscountCode #DataDoneRight

In the DC area? Join Privacy Analytics' own Brian Rasquinha for a Capitol Hill briefing next week. RSVP via The Healthcare Trust Institute's post below. Brian will be speaking on a panel with Jonah Leshin from Datavant and Mason Ingram from Premier Inc., discussing Privacy Enhancing Technologies in Healthcare and how organizations can use them to better protect patients' sensitive health information. Following the presentation, there will be a Q&A, offering you a chance to ask your most pressing questions about the technologies available to you. #dataprivacy #healthcare #capitolhill #PrivacyEnhancingTechnologies

🔒 Navigating the Complexities of Data Privacy & Security in Real-World Evidence and Data 🔒 Join us for a critical #PMWC24 panel discussion chaired by Deven McGraw of Ciitizen, featuring industry leaders Christopher P. Boone, PhD from Oracle Health, John Kalafut PhD of Asher Orion Group, Susan Stayn from Stanford, and Jessica Santos also from Oracle Life Sciences. 🧬 As patient-centric data becomes increasingly vital in drug development and healthcare decisions, understanding how to integrate Real-World Evidence (RWE) and Real-World Data (RWD) while maintaining privacy and security is imperative. 📊 From discovery to post-marketing surveillance, leveraging RWD and RWE is crucial for understanding patient populations and accelerating clinical decisions. This session will shed light on integrating these data types to support drug development and clinical practice. 🔐 We'll tackle pressing issues such as: ~ Varying regulations across entities and purposes ~ Applicability of HIPAA, GDPR, and other data protection laws ~ Challenges in privacy and security in an evolving legal landscape ~ Practical policies for data protection and the drive for harmonization 📢 Panelists will share their experiences and perspectives on privacy and security, inviting a lively and informative discussion on this nuanced topic. Don't miss the “Data Privacy and Security in RWE/D” panel January 25, Track 2: https://lnkd.in/gbeWJ-Gw Additional contributors from other sessions: Leo Russo, PhD of Pfizer, William Oh of Prostate Cancer Foundation, Amar Das, MD, PhD, FACMI of Guardant Health, Paul Boutros, UCLA, Ziad Obermeyer of Dandelion Health, Atul Butte of UCSF, Erica Galvez of Manifest MedEx, George Sledge of Caris Life Sciences, Mark Watson, Guardian Research Network, Ilyana Rosenberg of Microsoft Charlene Son Rigby of STXBP1 Foundation, Danielle Ciofani, Broad Institute of MIT and Harvard and Tristan Naumann, Microsoft. #dataprivacy #security #rwe #rwd #drugdevelopment #clinicaldecisionsupport #hipaa #fda #gdpr #cybersecurity #bestpractices #harmonization #PatientCentricData #realworldevidence #realworlddata PMWC - Precision Medicine World Conference, 23andMe, Apheris, Noventiq