IQVIA MedTech’s Post

Patient data privacy is a high-stakes C-suite issue. Yet many organizations still take a reactive approach. A better alternative is to build a privacy strategy and implement standardized processes and systems. Read this Insight Brief by Meysam Safari, Senior Data Scientist, IQVIA Privacy Analytics, to find out how: https://bit.ly/4i2lNDr #PatientData #privacy

Patient data privacy is a high-stakes C-suite issue. Yet many organizations still take a reactive approach. A better alternative is to build a privacy strategy and implement standardized processes and systems. Read this Insight Brief by Meysam Safari, Senior Data Scientist, IQVIA Privacy Analytics, to find out how: https://bit.ly/3Zvw2YA #PatientData #privacy

📢 Introducing Privacy Essential Insights 📢 Dive into the world of data privacy with Privacy Essential Insights, your go-to newsletter for the latest updates, expert opinions, and cutting-edge developments in the realm of data protection. In our latest YouTube video, we explore key topics and trends that are shaping the future of privacy, providing you with practical strategies to navigate the complexities of data regulation and security. Watch now to stay informed and ahead in the fast-evolving landscape of data privacy.  👉 Watch Here: Data Privacy Newsletter:👉 Privacy Essential Insights:👉 https://lnkd.in/diUWf2BD #PrivacyProdigy #dataprotection #dpia #dataprivacy #dpia #gdpr #dataprivacy #privacyimpactassessment #privacymatters #privacybydesign #dataprivacy #datasecurity #gdpr #cybersecurity #privacybydesign #datasecurityarchitect #dataarchitecture #datamanagement #datagovernance #securityawarness #datarecovery #dataengineering #informationsecurity #securityarchitect #linkedincommunity #ai #generativeai #responsibleai #cisco #collaborativearticles #privacynewsletter #dpo #dataclub #dataprotectionofficer #youtubechannel #subscribenow #shiftingleft #privacymatters #dataprotection #communityofprivacypros #privacyessentialinsights #thecybersentinelgladiator #trustintelligence #privacywithanilpatil #abwayinfosec #dpdpa#onetrust #iapp #datagrail  #privacytools #privacyadvocacy #youtubecommunity #roundtablediscussion #dataprivacylaw #datacompliance #cybersecurity #attorneys #lawfirm #counsel #latam #eventsinmumbai #complianceexperts #virtualevents #riskmanagement #dataretention #linkedincommunity #shiftingleft #abwayinfosec #FinTech #BFSI #healthcare #FinancialTechnology #EUAIAct #aiact #ai #GDPR #CyberSecurity #InformationSecurity #ResponsibleAI #AIPenetrationTester #CISCO #microsoft #apple #Rebranding #aipenetrationtester #sundayspecialarticle #90daynewslettercontentplan 

This week, I had the opportunity to present on the challenges and opportunities of Data Spaces in the EU as part of the Data Science for Business course. I was particularly intrigued by the concept of data monetization, as it can create new business models and unlock significant value from data. I also discussed challenges such as privacy, data protection, and policy compliance, which are essential for creating trustworthy data spaces. This experience deepened my understanding of how data spaces are shaping data-driven innovation, while navigating privacy and regulatory challenges. I’m excited to continue exploring these topics and contribute to future innovations in the field. #DataScience #DataSpaces #EUInnovation #DataMonetization #Privacy #DataProtection #DigitalEconomy #BusinessForDataScience

Good Synthetic Data Generation 1. Enhances privacy protection 2. Reduces bias in datasets 3. Augments minority samples ----vs----- Bad Synthetic Data Generation 1. Misconceptions about data quality 2. Challenges in replicating real-world scenarios 3. Potential for introducing new biases Would you agree with these ?

Learn out. CPDP LatAm 2024: What is Top of Mind in Latin American Data Protection and Privacy? From data sovereignty, to PETs https://buff.ly/3M4OnoX #tech #digital #data #privacy

Differential privacy is a #mathematical approach that protects each entry's privacy and enables helpful evaluation of the entire dataset. It works by adding set noise into the #data or the queries. This noise is meant to mask the presence or lack of any person's data, guaranteeing #privacy. How Does It Work? Assume you have a database with #sensitive data about people. When a query is sent to this database, differential privacy ensures that the result is almost identical, regardless of whether any single person's data is included. This "indistinguishability" occurs by introducing random noise into the query results. The Epsilon (ε), a parameter that handles #privacy and #accuracy, decides the amount of noise. A smaller epsilon improves privacy but produces less accurate results, while a larger epsilon produces more accurate results but has lower privacy. Key Benefits Differential privacy offers strong assurances that each data point cannot be obtained from #query results, making it a powerful tool for protecting against privacy #attacks. Diverse Applications: From public health data analysis to user behavior research in technology businesses, it can be used to gain insights without risking people's #confidentiality. Regulatory Compliance: With expanding laws and regulations for data privacy, such as #GDPR and #CCPA, differential privacy assists organizations in reaching legal requirements by ensuring that user information is not exposed by analysis. Differential privacy involves: - Setting up privacy budgets. - Deciding the right noise distribution. - Carefully balancing data utility and privacy. Leading technology #companies such as Apple, Google, and Microsoft are using differential privacy techniques in their services to protect user privacy while still providing #data-driven insights. #diferentialprivacy #datasets #privacypreserving #datasecurity #securingdata #privacybydesign #innovations #safedata #privacysolutions #techprivacy #prose

Looking forward to speaking about “Converging Forces: Data and Privacy Aligned for Tomorrow’s Challenges” and connecting with the #data and #privacy leaders at the Consero Chief Data Officer + Chief Privacy Officer Fusion Summit. Let me know if you are attending today in NYC. #ConseroCDO #ConseroPrivacy #ResponsibleAI #DataStewardship #privacybydesign

Here is a very informative non-technical write-up by my friend and Datavant colleague, Cody Sedler, about the relationship between data granularity, privacy protection, and project resources. A key takeaway: When evaluating how (and who to work with) to achieve compliance on your sensitive data, an important factor is whether to use a Common Data Model approach (fitting your data into a compliant format) or whether to work with a partner that can speed up the time to bespoke compliance certifications on YOUR dataset. One more takeaway: Automation cannot replace the legal & domain expertise a privacy partner can bring to complex use cases surrounding de-identified health data. Datavant's #PrivacyHub will work with you to achieve maximum data utility while mitigating risk. It all depends on what you're looking for! #HIPAA #DataPrivacy #HealthData #Compliance #DeIdentification

I've had the opportunity to connect with hundreds of companies entering the health data space. Privacy considerations are always a top priority for them; to ensure patient privacy is protected, applicable laws are adhered to, and companies are being good stewards of their partners' data. Understanding the relationship between data utility and the patient privacy requirements of real-world data is critical. I put together a few thoughts on these tradeoffs and would like to (again) thank Jonah Leshin, Head of Data Science, Privacy Hub Product and Technology, for his input into this. #RealWorldData #DataPrivacy