MASTERCLASS: AI & Tech in Telehealth and Medicine
- Earn 5 CME Category One Credit Hours.
- Receive guidance for evolving business environments with solutions and services
- Learn what strategies, trends, and services are worthy of adoption and investment
- Discern what technologies are viable for your company and budget.
- Gain insights and expert opinion changing the healthcare paradigm and business arena
- Meet and network with c-suite executives, decision makers, pioneers, and educators
- Obtain a competitive edge for your business, implementations, and strategy plans
- Bridge the gap between research and real world applications
WHO SHOULD ATTEND
- Payor, Hospital Leadership, and Clinicians
- Pharmaceutica and, Biotech Digital Health & Innovation Leaders
- Public Health Officials and NGO Leadership
- Population & Precision Health Leaders
AGENDA & PRESENTERS
Time: 2:15 PM
Topic: Regional and National Equity Issues and Challenges in Healthcare and AI (45 mins)
Presenter: Calvin Lawrence
Presenter Bio: Calvin has over 25 years of experience across enterprise architecture, engineering, application/system programming and research. In those roles, he has led product development, innovation, and research teams across IBMs vast product portfolio. Over the last five years he has help to lead and drive IBM’s Cloud, Data, Artificial Intelligence and Quantum computing transformation.
He was appointed Distinguished Engineer at IBM in 2010. Distinguished Engineer is the second highest technical achievement at IBM and is appointed by the IBM CEO. He is a sought-after and award-winning speaker and author. Calvin has over 20 industry-related patents and have authored over fifty articles, white papers, and books on technology related subjects. He is frequently asked to serve on technology panels related to AI Trust and research, Cloud, Quantum, and other emerging technologies.
- How do we evaluate new technology before we drive ubiquitous adoption?
- How safe is it to adopt an iterative technology in healthcare?
- How do we neutralize societal biases and is it even possible?
- Can we ever trust AI and generative AI with a confidence level that is beneficial to patients and providers?
- How does AI help DEI, the uninsured, increasing healthcare costs, and the shrinking workforce?
- Where in healthcare can we use AI with a 100% confidence level?
Time: 3 PM
Topic: The Future of Women’s Telehealth: Unlocking Innovation (40 mins)
Presenter: Bronwyn Harris
Bronwyn has a Bachelor’s Degree in Bioengineering and Biomedical Engineering from Brown University, a Master’s Degree form the University of Pittsburgh, and a Doctor of Medicine from Vanderbilt University School of Medicine.
She was the CEO and Co-Founder of Tueo Health; Head of Product – Health Strategic Initiatives at Apple; and Vice President of Carbon Health before undertaking her current role at CareEvolution, all alongside her ongoing role at Stanford Children’s Health, where she is a Clinical Assistant Professor in Paediatric Cardiology.
- How innovation is transforming the field.
- using telehealth to improve access to women’s health services, including OB/GYN care and family planning in a hybrid environment using an integrated platform.
- How this allows patients to connect with providers for virtual consultations, receive prescriptions and order birth control, and even access at-home STI testing.
- How telehealth provides personalized care to women through a comprehensive, holistic approach that addresses physical and mental health.
- Explore telehealth support for new mothers with breastfeeding, including virtual lactation consultations and personalized care plans.
Time: 3:40 pm
Topic: Going Green and Sustainable by Changing Behaviours with Remote Technology (20 mins)
Presenter: Hannah McCarthy
Award winning innovator. Published research covered by NY Times, Telegraph, Sunday Times, and Guardian. PhD Candidate at UCL; thesis on optimising financial incentives in apps for physical activity behaviour change. Psychology masters from University of Edinburgh; focus on Health Psychology, Complex systems, Psychology & IT. 20+ years’ experience.
How Climate change and carbon footprints meet lifestyle changes and healthy habits through behaviour change using gaming, rewards, trackers, and user engagement with wearables, apps, and smart AI across universities, workforce, health systems, and urban/suburban areas.
Time: 4 PM
Topic: Digital Health Implementations Using Tokenomics and Building Stakeholder Support for New Technologies (30 min)
Presenter: Igor Korolev
Igor Korolev graduated from Michigan State University with a PhD in Neuroscience, and as a Doctor of Osteopathic Medicine. He has 20+ years of experience in Healthcare & Life Sciences industry along with Digital Health, Data Science, & Clinical Research expertise. Igor is an Editorial Board Member for Telehealth and Medicine Today; a Founding & Workgroup Member of the Digital Medicine Society (DiME); and is a Digital Health Expert for the FDA (NODEx).
- Overview of Digital Health Implementations Using Tokenomics
- How to Build Stakeholder Support for New Technologies
- How data is stored, shared, and monetized, connecting an entire ecosystem with benefits.
- How EHRs, genomic DNA, wearables, pharmacy and social determinants of health data and accelerated access to de-identified, tokenized, real-time data.
Time: 4:30 PM
Topic: AI and Big Data: How Women Are Levelling the Playing Field (30 mins)
Presenter: Asha Saxena
Asha Saxena is the Founder and CEO of Women Leaders in Data and AI (WLDA), an organisation bringing senior leaders together with a mission to create an impactful digital world with parity and equity. Asha is also a partner at CEO Coaching International, and a Board Advisor and an Adjunct Professor at Columbia University. She has served a four-year term as Entrepreneur-in-Residence at Columbia Business School.
Published Author, Columnist at Entrepreneur Magazine, Asha Saxena is a well-known key-note speaker on Entrepreneurship, Leadership, Women in Technology, Artificial Intelligence and Big Data. She is a Board of Director for several for-profit companies, and she served as CEO of ACULYST Corp. Healthcare Data Analytics Firm, built an eCommerce Company and served as a CEO of Future Technologies Inc.
Asha has her Masters in Data Science and Machine Learning from Southern Methodist University, Texas and her undergraduate degree as a Computer Science Engineer from Bangalore University in India. She has attended management programs at MIT and London Business School.
- How in our rapidly advancing technological landscape, artificial intelligence (AI) has emerged as a powerful tool with the potential to revolutionize healthcare, telehealth, and medicine.
- What are the critical ethical considerations that must be addressed.
- The ethical dimensions of AI in these domains and the complex challenges and dilemmas that arise through real-world case studies highlighting the ethical implications of AI in healthcare delivery, telehealth services, and medical decision-making,.
- The ethical challenges of using AI algorithms in diagnosing diseases, determining treatment plans, patient privacy and informed consent, and the socioeconomic impact of AI in healthcare, such as job displacement, access to care, and disparities in health outcomes.
- Examine existing ethical frameworks and explore the challenges of integrating AI into existing healthcare systems while maintaining human-centred care and preserving the doctor-patient relationship.
Time: 5 PM
Topic: Exponential Leaps in Medicine with XR – Regulatory Challenges vs. Clinical Solutions (60 mins)
Presenter: Mark Zhang
Mark Zhang is the Associate Chief Medical Information Officer of the Digital Innovation Hub at Brigham and Women’s Hospital, Founder and President of the American Medical Extended Reality Association (AMXRA), Associate Program Director of the Clinical Informatics and Innovation Fellowship at Partners Healthcare, and a Palliative Care consultant at Dana-Farber Cancer Institute.
He is the founder of Palliative Care Fast Facts for iOS and Android mobile applications, the co-founder of Cake, a venture backed company focused on advance care planning, and founded and was the first president of American Medical Informatics Association Clinical Informatics Fellows (ACIF), the national organization for clinical informatics fellows.
Zhang completed an Internal Medicine residency and a chief year at Allegheny General Hospital. He is a graduate of the Harvard Interprofessional Palliative Care Fellowship, the first graduate of the Clinical Informatics and Innovation fellowship at Partners Healthcare, and completed a Masters in Biomedical Informatics at Harvard Medical School.
- Understand the ethical challenges and considerations that arise from the integration of artificial intelligence (AI) in healthcare, telehealth, and medicine.
- Examine real-world case studies highlighting the ethical implications of AI in diagnosing diseases, determining treatment plans, and ensuring patient privacy and informed consent.
- Explore the potential socioeconomic impact of AI in healthcare, including job displacement, access to care, and disparities in health outcomes.
- Gain insights into the importance of developing responsible AI systems in healthcare that prioritize patient well-being, equity, and privacy.
- Discuss the need for transparent and explainable AI algorithms, as well as the ethical considerations surrounding data privacy and security in the context of telehealth and medical records.
Time: 6 PM
Topic: Translational Application of AI in Healthcare (60 mins)
Presenter: Sandeep Reddy
Sandeep has a medical and healthcare management background and has been recognised as a Certified Health Informatician, World Health Organization nominated Digital Health Expert and member of the Focus Group on AI for Health, Fellow with the Australasian Institute of Digital Health and the Australasian College of Health Service Management, and a Certified Health Informatician. He also has an MBA certification from the London School of Economics, a Masters in Management from Massey University in New Zealand, a Master of Science in International Health from University College London, and a PhD in Data Analytics from Flinders University in Australia.
Further to these qualifications, he has undertaken training in machine learning and programming from several sources and has established several forums to promote the appropriate use of AI in healthcare. He has a zeal and passion for translational medicine specifically the use of smart technology in healthcare. He foresees an increasing use of AI in health service delivery and is keen for Medi-AI to be involved in this movement.
- How do we evaluate large language models (LLMs) for use in healthcare?
- What are the trusted frameworks for value assessment?
- Is automation through Conversational AI going to successfully address the healthcare administrative and workforce crisis? What about clinical decision making?
- What are the implications of LLM’s and AI in Primary Care, ACOs and Integrated Care in the US and around the globe.
Time: 7 PM
Topic: Privacy vs. Open Data Sharing (20 mins)
Presenter: Lorenzo Cristofaro
Partner of Panetta & Associati law firm, Lorenzo boasts an extensive knowledge of data protection and privacy, artificial intelligence, big data and cybersecurity matters, as well as of any other legal and regulatory issue relating to new technologies. He has been assisting major Italian and foreign industrial groups and organizations, also in quality of external Data Protection Officer, in relation to a number of issues relating, among others, to the processing and international transfer of data, privacy impact assessment, biometrics, data management governance, e-health, e-government, IoT, blockchain and distributed ledger technology, data enrichment activities, right to be forgotten and forensic investigations.
Lorenzo has an MSc in Law from RomaTre University and a Masters in Environmental Law from the ISGI/CNR and SIOI
He is frequently invited as a speaker or teacher to national or international conventions, conferences and training meetings and authored several publications regarding data protection, digital law and telecommunications.
- What are the pros and cons of privacy vs. open data sharing?
- Existing laws and regulations and how they will impact healthcare.