{"id":834,"date":"2021-05-03T13:26:33","date_gmt":"2021-05-03T13:26:33","guid":{"rendered":"https:\/\/sites.rutgers.edu\/idsla\/?page_id=834"},"modified":"2021-05-14T13:20:17","modified_gmt":"2021-05-14T13:20:17","slug":"breakout-groups","status":"publish","type":"page","link":"https:\/\/sites.rutgers.edu\/idsla\/spe-in-healthcare\/breakout-groups\/","title":{"rendered":"Workshop for Security, Privacy, and Ethics in Health and Biomedical Research"},"content":{"rendered":"

Breakout Groups<\/h2>\n

Back to Home page<\/a><\/h5>\n
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Wearables and Connected Devices <\/strong>[Group Lead: Andy Coravos, Elektra Labs]<\/h5>\n

The rapid pace of miniaturization and expanding capabilities has led to an explosion of health-related\u00a0devices, some designed for use in a medical setting and others primarily for personal use. The speed\u00a0and novelty of these technologies has created a number of security, privacy, and ethical knowledge gaps\u00a0that require attention.<\/p>\n

Considering the cyber-physical nature of the system, security and its impact on patient safety is a\u00a0significant concern due to the potential vulnerability of connected medical devices. Privacy concerns,\u00a0beginning with knowing who owns personal data, is a significant challenge, which is tightly coupled to\u00a0the ethics of the need for transparent consent to privacy agreements and data authorizations. This\u00a0becomes especially critical when these technologies are utilized for care delivery. Furthermore,\u00a0challenges such as outdated firmware in legacy devices, standardization, and decommissioning of\u00a0medical devices need to be examined.<\/p>\n

This breakout group will be tasked with identifying the core issues underlying security, privacy, and\u00a0ethics in the context Wearables and Connected devices in the health care and health research settings,\u00a0and then laying out a vision for a roadmap for developing potential solutions.<\/p>\n

 <\/p>\n

Big Data Analytics and AI \/ ML\u00a0<\/strong>[Group Lead: Ling Liu, Georgia Tech]<\/h5>\n

Artificial Intelligence (AI) and Machine Learning (ML) algorithms fueled by big data are taking on an ever-increasing role in healthcare in providing clinical decision support to even independent diagnostics.\u00a0Furthermore, biomedical and healthcare research itself has become much more reliant on AI\/ML tools\u00a0and technologies.<\/p>\n

However, the use of automated and potentially autonomous systems brings forth numerous issues\u00a0related to transparency, replicability, ethics, and effectiveness. Additionally, it is important to ensure\u00a0that such machine learning systems and frameworks are trustworthy and accountable. For example,\u00a0adversarial examples can significantly reduce the robustness of such solutions, and the use of transfer\u00a0learning and advanced machine learning techniques, makes them less explainable.<\/p>\n

This breakout group will be tasked with identifying the core issues underlying security, privacy, and\u00a0ethics in the context of AI\/ML in Health and Biomedical Informatics in the health care and health\u00a0research settings, and then laying out a vision for a roadmap for developing potential solutions.<\/p>\n

 <\/p>\n

Real-time Multi-modal Data <\/strong>[Group Lead: Santosh Kumar, University of Memphis]<\/h5>\n

Multi-modal health-related data, including medical care data (clinical trials, X-Rays, MRI scans, videos,\u00a0etc.) collected by a potentially large number of healthcare providers, daily life data (socioeconomic and\u00a0employment status, environment, etc\u2026) that inform social determinants of health (SDOH), and personal\u00a0data through wearables or other monitoring devices can all potentially be utilized to identifying\u00a0challenges to achieving and maintaining optimal wellness and help devise personalized medical\u00a0treatment. Protecting and properly curating such data \u2013 over its life-time \u2013\u00a0for supporting real-time data-driven decision-making through high powered analytics\/AI is critical. This can generate significant\u00a0security, privacy and ethical issues that need to be understood within various healthcare as well as social\u00a0contexts (e.g., disease, age\/gender, social stigma, employment issues, etc.). The multi-modality of data\u00a0as well as the criticality of real-time intervention pose significant domain-specific challenges in this\u00a0context. More importantly, there may be challenges due to the integration of the data, as opposed to\u00a0looking at it in isolation, especially given data quality issues. Life-cycle issues need to be considered\u00a0because of the persistence of users\u2019 medical\/health information. Sharing of multimedia information is\u00a0critical for realizing the personal health and well-being vision and supporting public health research.\u00a0Significant security and privacy challenges arise in allowing such sharing and it is not clear how existing\u00a0techniques (e.g., Secure Multiparty Computation, Differential Privacy) can be effectively utilized and\u00a0what alternative techniques would be more appropriate. Ensuring privacy, accountability, availability\u00a0and information authenticity is critical in such contexts.<\/p>\n

This breakout group will be tasked with identifying the core issues underlying security, privacy, and\u00a0ethics in the context of multimodal data acquisition, integration, and sharing, and also laying out a vision\u00a0for a roadmap for developing potential solutions.<\/p>\n

 <\/p>\n

 <\/p>\n

Back to Home page<\/a><\/h5>\n","protected":false},"excerpt":{"rendered":"

Breakout Groups Back to Home page   Wearables and Connected Devices [Group Lead: Andy Coravos, Elektra Labs] The rapid pace of miniaturization and expanding capabilities has led to an explosion … Read More<\/a><\/p>\n","protected":false},"author":1451,"featured_media":0,"parent":667,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template-custom.php","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-834","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nWorkshop for Security, Privacy, and Ethics in Health and Biomedical Research - I-DSLA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.rutgers.edu\/idsla\/spe-in-healthcare\/breakout-groups\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Workshop for Security, Privacy, and Ethics in Health and Biomedical Research - 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