With new patient-controlled health monitoring technology, soon a lot of data will come from patients. “We don’t do well at chronic disease management because we use a model for acute disease,” said Dr. John Moore of MIT’s New Media Medicine group. He outlined an “apprenticeship” model of health care in which patients become more attuned to maintaining health. Patients and providers make decisions together but patients will be the drivers and own their own data.
Digital technology also permits instant research and “just in time” clinical interventions. “When mobile apps can learn from users and adapt in real time, it will be possible to develop ‘cradle to grave’ mobile programs that can manage co-morbidities,” said Iana Simeonov of UCSF mHealth Insights & Innovation.
Currently there are lots of data that can be used to inform clinical decision-making, but making sense of that data can be overwhelming. Artificial intelligence promises to be of enormous help with diagnostic and treatment decisions. “700,000 medical articles are published each year. Watson (a supercomputer that reads natural language) can read 200 million pages of text in three seconds,” noted Dr. Martin Kohn, Chief Medical Scientist for Care Delivery Systems at IBM . IBM, the inventor of Watson, is working with the Cleveland Clinic to develop a clinical decision support tool that interprets “information to help providers make informed decisions based on the most current literature and research.”
Other speakers at the conference included:
Dr. Debra A. Lieberman of UC-Santa Barbara and Director of Health Games Research , a national program of the Robert Wood Johnson Foundation, who reviewed the value and growing use of games for many health issues and populations.
Dr. William Rodriguez, who explained that since portable, low cost, point of care devices can give test results like CD4 count, viral load, TB status, and other data in minutes, the future will focus not on testing in health settings but on data transmission and analysis.
Others who demonstrated how virtual patients can help educate medical students and how virtual caregivers can help people monitor their health.
AIDS.gov also conducted a Social Media Lounge for participants to drop in and learn more about using social media in their HIV programs. While at the conference we also engaged the participants in an activity where they used their own words to describe the power of digital health. Watch this video to learn what digital health can do for the HIV community:
More information, including the conference agenda, abstracts, and slides and audio, is available at: