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This presentation was delivered for the Spring 2013 Health Informatics Seminar Series. The Duke/UNC Joint Health Informatics Seminar Series is sponsored by the Duke Center for Health Informatics and UNC-Chapel Hill. This series explores key areas in Health Informatics and include research results, overview of programs of research, basic, applied, and evaluative projects, as well as research from varied epistemological stances.
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if a doctor predicts that his pa.ent will die presently, it does not mean that he desires it.
if a doctor predicts that his pa.ent will die presently, it does not mean that he desires it.
Schumpeter’s Gale How social trends, consumer electronics,
and the libera.on of data are forcing change in healthcare
Robert Furberg, PhD, MBA Senior Clinical Informa.cist RTI Interna.onal
ques.ons?
sms: 919-‐452-‐8021 @medicfurby
social + technical + data
community + connec.vity + content
technology + mobile tools + informa.on + community + user-‐generated content +
collabora.on + social interac.on
where are you?
Acad Med 2009;84(11):1479-‐81
Given my status, what is the best outcome I can hope to achieve, and how do I get there?
pa.ent versus the ePa.ent
• Passive • Informa.on is given to them
• Top down delivery of care
• Paternalis.c medicine
• Ac.ve • Informa.on seeking • Partner in their care • Par.cipatory medicine
Elias Zerhouni, MD
“As opposed to the doctor-‐centric, cura.ve model of the past, the future is going to be pa.ent-‐centric and proac.ve.”
• 83% of U.S. adults own a cell phone. • 35% of U.S. adults own a smartphone and one-‐quarter of them use their phone as their main source of internet access.
• The highest level of mobile telephone use is among adolescents, younger adults, socioeconomically disadvantaged popula.ons, less educated young adults, and people who rent or frequently change addresses. (Franklin, 2003; Faulkner, 2005; Koivusilta 2007)
• Further, a high level of mobile telephone use is associated with lower levels of self-‐rated health, higher BMI, and engaging in health-‐compromising behaviors. (Lajunen, 2007; Koivusilta, 2005)
• Fully half of U.S. adult cell phone owners (50%) now have apps on their phones.
Top 10 health searches from mobile devices in 2011
1. Chlamydia 2. Bipolar disorder 3. Depression 4. Smoking/quit smoking 5. Herpes 6. Gout 7. Scabies 8. Mul.ple Sclerosis 9. Pregnancy 10. Vitamin A
• By the summer of 2012, the number of iPhone apps for healthcare professionals jumped from almost 4,000 today to nearly 6,000 apps.
• In August 2012 there were more than 13,000 iPhone health apps available for consumers.
mHealth describes a broad range of telecommunica.ons and mul.media technologies within a wireless care delivery architecture.
Top ten targets for mHealth • Alzheimer’s: 5 million Americans. Wireless sensors can track the vital signs of pa.ents as
well as their loca.on, ac.vity, and balance. • Asthma: 20 million Americans. Wireless can track the respiratory rate and peak flow so
pa.ents can use inhalers before an afack occurs. • Breast Cancer: 3 million Americans. Women can use a wireless ultrasound device at home
and send the scan to the doctor–won’t have to go in for a mammogram. • Chronic Obstruc5ve Pulmonary Disorder (COPD): 10 million Americans. Wireless can
monitor FEV1, air quality and oximetry. • Depression: 19 million Americans. Wireless can monitor medica.on compliance, ac.vity and
communica.on. • Diabetes: 21 million Americans. Wireless can monitor blood glucose and hemoglobin. • Heart Failure: 5 million Americans. Wireless can monitor cardiac pressures, fluids, weight
and blood pressure. • Hypertension: 74 million Americans. Wireless can con.nuously monitor blood pressure and
track medica.on compliance. • Obesity: 80 million Americans. Wireless scales can track weight and wireless sensors can
track calories in/out and ac.vity levels. • Sleep disorders: 15 million Americans. Wireless sensors can monitor each of the phases of
sleep for quality of rest, detect apnea and track vital signs.
Physicians were not responsible for the improvement. – No addi.onal meds – No significant changes in management
• The mechanism appears to be pa.ent self-‐awareness, accountability
• An adherence mechanism is important • Providing a monitor is not enough
Hypertension. 2012 Jul;60(1):51-‐7.
Overview of Tracking
• 69% of adults track a health indicator for themselves or others.
• 21% of individuals who track use at least one form of technology such as apps or devices.
The Impact of Tracking
• 46% of trackers say that this ac.vity has changed their overall approach to maintaining their health or the health of someone for whom they provide care.
The Impact of Tracking
• 40% of trackers say it has led them to ask a doctor new ques.ons or to get a second opinion from another doctor.
The Impact of Tracking
• 34% of trackers say it has affected a decision about how to treat an illness or condi.on.
Tracking and Sharing
• 34% of trackers share their data or notes with someone else.
• 52% share with a health professional. • 22% share with a spouse/partner.
data
King, Gary. 2011. Ensuring the Data Rich Future of the Social Sciences.
Science 331(11):719-‐721.
Miller, Geoffrey. 2012. The Smartphone Psychology Manifesto. Perspec.ves on Psychological Science. 7(3):
221-‐237.
world healthcare data is expected to grow 50x the current total
• support research • transform data into informa.on • support self-‐care • support care providers • increase awareness • pool data to expand the ecosystem