Dr. Clifford Goldsmith
Industry Director
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Accelerating Healthcare Innovation with Trusted Privacy and Cloud Technology
Date of Event: June 2, 2022
Location: Webinar
As the pandemic has shown us, timely access to healthcare data is critical for advancing patient care and driving industry innovation. Privacy concerns often impede this vital data sharing and must be addressed to use data for secondary purposes safely.
De-identification is a way to protect the privacy of individual patients represented in data, making it safe to share and reuse. Yet de-identification processes can be complex and often require statistical expertise.
In this discussion, you’ll learn about an Azure-based solution that makes sensitive health data immediately accessible for safe, compliant, responsible uses, promoting innovation across the industry: from predictive analytics to precision medicine to innovation networks. With it, you can automate re-identification risk analyses under HIPAA, generating statistical proof that patients are not identifiable.
Join us to learn how leading innovators in the industry benefit from advancements in technology from Privacy Analytics and Microsoft.
Speakers:
Event registration is now closed.
Dr. Clifford Goldsmith brings a unique experience to Microsoft as a physician who also has over 33 years of know-how envisioning, designing, developing, and selling high-performance solutions for the healthcare industry. He has been with Microsoft’s healthcare team for more than 22 years and in his current role of US chief medical officer, Goldsmith designs, develops and executes Microsoft’s strategy for the US healthcare provider industry. He has focused on numerous areas of healthcare information technology, including value-based payment models, health equity, rare diseases, virtual clinical trials, remote patient monitoring, process improvement and patient engagement. He has also served as chief medical officer of Aptima Corporation, where he led a team in transitioning well-tested concepts on human-centered engineering from aviation and the military into healthcare. Prior to joining Microsoft in 1998, Goldsmith worked for Harvard University’s Department of Medicine and the Center for Clinical Computing, developing and managing various aspects of IT for both Beth Israel and Brigham and Women’s Hospitals. During this appointment, he pioneered full, remote access electrocardiograph (ECG) integration with the EHR. He founded and managed LINK Medical, which delivered a commercial product that integrated ECGs and other waveform diagnostics into the EHR. He joined the HL7 (Health Level 7) Committee in its early years and collaborated on both the order entry and results reporting standards. Goldsmith received a BS and MBBCh (MD) from the University of Witwatersrand, South Africa.
Dr. Clifford Goldsmith
Industry Director
Khaldoun Zine El-Abidine brings more than 17 years of product engineering and team leadership experience to the table as Privacy Analytics’ Director of Technology. He aligns technical requirements to clients’ desired business outcomes across the full spectrum of product innovation. This helps clients to develop new sources of revenue and to drive advances in patient health. Khaldoun has also built several large-scale customer-facing applications in Big Data, Artificial Intelligence & Machine Learning (AIML) and Natural Language Processing (NLP).
Khaldoun Zine El-Abidine
Sr. Director of Technology, Privacy Analytics
Situation: California’s Consumer Privacy Act inspired Comcast to evolve the way in which they protect the privacy of customers who consent to share personal information with them.
Situation: Integrate.ai’s AI-powered tech helps clients improve their online experience by sharing signals about website visitor intent. They wanted to ensure privacy remained fully protected within the machine learning / AI context that produces these signals.
Situation: Novartis’ digital transformation in drug R&D drives their need to maximize value from vast stores of clinical study data for critical internal research enabled by their data42 platform.
Situation: CancerLinQ™, a subsidiary of American Society of Clinical Oncology, is a rapid learning healthcare system that helps oncologists aggregate and analyze data on cancer patients to improve care. To achieve this goal, they must de-identify patient data provided by subscribing practices across the U.S.
Situation: Needed to ensure the primary market research process was fully compliant with internal policies and regulations such as GDPR.
Situation: Needed to enable AI-driven product innovation with a defensible governance program for the safe and responsible use
of voice-to-text data under Shrems II.
This course runs on the 2nd Wednesday of every month, at 11 a.m. ET (45 mins). Click the button to register and select the date that works best for you.