Integrating Sensor-Generated Data to Drive Clinical Decision-Making

Webcasts

Tue, Sep 20, 2022 10:00 AM EDT The seamless integration of data collected on patient behaviors and experiences is critical to improving the efficiency and effectiveness of clinical decision-making at scale in clinical research and development. Yet, the potential of sensor data to transform health outcomes is being held back by a fragmented landscape of device solutions, regulatory complexity, and obstacles in interoperability.

Register Free: https://www.pharmexec.com/pe_w/sensor_generated

Event Overview:


Digital endpoints offer significant opportunities to improve what we know about patients’ biologic processes and responses, as well as how they feel, function, and survive in both clinical trials and routine clinical care. The number of unique digital endpoints being used in clinical trials is skyrocketing, but is more always better?
Data integration, the processes by which data are aggregated, combined, and made available for use, has been key to the development and growth of many technological solutions. The seamless integration of this sensor data—collected on patient behaviors and experiences—is critical to improving the efficiency and effectiveness of clinical decision-making at scale in clinical research and development. Yet, the potential of this data to transform health outcomes is being held back by a fragmented landscape of sensor device solutions, regulatory complexity, and obstacles in interoperability. Learn what is being done to address these challenges.

Key Learning Objectives:

  • When in the clinical development process can and should sensor data be integrated to power clinically relevant outcomes?
  • What toolkits and resources are available to data scientists, clinicians, decision makers, and researchers to improve the adoption of sensor data integration?
  • The impact data quality has on effective implementation of sensor data capture, processing, management, and use
  • How innovative trial designs and modality of care delivery can be offered at scale now

Who Should Attend:

  • Clinical researchers, data scientists, and clinical decision teams responsible for:
    • Clinical development planning and study design
    • Management of patients and measurement of clinical outcomes
    • Clinical data management, collecting and evaluating trial metrics
    • Project management of studies, process optimization, and operational excellence

Jennifer Goldsack
CEO
Digital Medicine Society (DiMe)


Jennifer co-founded and serves as the CEO of the Digital Medicine Society (DiMe), a 501(c)(3) non-profit organization dedicated to advancing digital medicine to optimize human health. Jennifer’s research focuses on applied approaches to the safe, effective, and equitable use of digital technologies to improve health, healthcare, and health research. She is a member of the Roundtable on Genomics and Precision Health at the National Academies of Science, Engineering, and Medicine and serves on the World Economic Forum Global Leadership Council on mental health.

Krupal Patel MD, M.Sc., FRCS(C)
Assistant Member in the Department of Head and Neck-Endocrine Oncology
Moffitt Cancer Center

Krupal is fellowship trained as a head and neck microvascular reconstructive surgeon, and board-certified in otolaryngology by the Royal College of Physicians and Surgeons in Canada, and by the American Board of Otolaryngology - Head and Neck Surgery.
His practice includes a focus on minimally invasive surgeries, including transoral robotic surgery for oropharynx cancers and expanded endonasal approaches for sinonasal/skull base cancers, as well as resection of head and neck cancers and microvascular reconstructive surgeries.
Krupal’s translational research focuses on developing biomarkers for use in genomic analyses that predict the impact of therapeutic interventions on clinical and quality-of-life outcomes. His ongoing projects and publications focus on improving outcomes in head and neck cancer patients, as well as cancer care delivery, including financial toxicity, virtual health, and real-time patient monitoring to improve patient outcomes.

Ariel Dowling, PhDDirector of Digital Strategy
Takeda Pharmaceuticals

Ariel is a director of digital strategy within the Data Sciences Institute at Takeda Pharmaceuticals. In this role, she oversees the strategy, assessment, and deployment of digital devices in clinical trials across the organization. She was previously a senior clinical data scientist at Biogen, where she managed the wearable sensors deployed in clinical trials for Parkinson’s disease. Ariel was the algorithm team lead at MC10 Inc. and a senior research scientist at BioSensics LLC. She holds an MS and PhD in mechanical engineering from Stanford University and an AB and BE in mechanical engineering from Dartmouth College. She currently serves on the Strategic Advisory Board of the Digital Medicine (DiMe) Society.

Shruti Iyer
Principal Innovation Architect
Oracle


Shruti is a principal innovation architect supporting clinical innovation in the Health Sciences Global Business Unit at Oracle. She has had over seven years of experience at Medtronic as a subject matter expert in end-to-end medical device product development, focusing on remote monitoring solutions for late-stage heart failure patients. Shruti has an MS in medical device innovation from the University of Minnesota-Twin Cities, where she was a Technological Leadership Institute Fellow. She is energized about driving complex and critical decisions in a highly regulated environment and is a thought leader with passion to empower patients to be in control of their health.

Register Free: https://www.pharmexec.com/pe_w/sensor_generated