A2DataDive keynote speaker Dr. Dave Burke. A2 Data Dive. Feb. 10- 12, 2012. visit the wiki for more information: http://wiki.datawithoutborders.cc/index.php?title=Project:Current_events:A2_DD

1. Author(s): David Burke, Ph.D., 2012
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3. Distributed Health Technologies
What new technologies can be developed that
connect people with their health care system?
What are the features of human health and health
care delivery that drive technology development?
How can health technology interface with
advances in informatics and communication?
How can modern mass-production manufacturing
be harnessed to distribute technology as widely as
possible?

4. The existing health care system communicates
patient data as a hierarchy.
Information moves within the system:
tertiary care specialist
senior specialist
primary specialist
primary physician
nurse

5. At each level, health care professionals :
1) Assess the patient and acquire information.
2) Recognize their own knowledge/skill limits.
3) Transfer the patient to a more specialized
professional.
4) Hand over accumulated patient information to
the next level in the hierarchy.
F transfer patient information to the next level.
Each professional is trained to accurately
F The “hand-off” between levels is formalized.
F Information quality is maintained and traceable.

6. There are levels prior to the first professional
interaction.
Patients are measuring their own health status.
And deciding on whether to refer themselves to
the next level.
“Do I need to schedule an appointment with
F a doctor? Or go immediately to the ER?”
Often, there is a second non-professional level.
“Mom”, or another adult, that refers the patient.

7. The quality of transfer of information from the
non-professional levels to the professional levels is
highly variable and informal.
There is a “gap” in data transfer efficiency and
quality at the first level of interaction with the
traditional health care system.
Can we build high quality, physician-approved,
patient-accessible, health data technologies to
address this “information gap”?

8. The medical “information gap” might be solved by
advanced sensor technologies, computational
power, software, and communication tools.
Four critical features are:
1) Quality-assured collection of physiological data.
2) Error-free data transfer to health professionals.
3) Low capital costs and recurring costs.
4) Training of patients and health professionals.

9. Every person in the population has the potential
to obtain and communicate inexpensive, high-
quality data to the available health care system.
Technologies can be developed to incorporate the
patient into the health information stream.
Any technology that captures health information
will work for ALL humans.
Consequently, a very large demand for health
F technologies already is in place.

10. Technologies that capture health information
potentially are valuable for all humans.
2011 “demand”:
300 million people in the United States
1000 million people in developed nations
7000 million people worldwide
Modern technology unit-cost decreases
F with increased number of units.
F Unit costs can be very inexpensive.

11. Manufacturing strategies reflect unit demand.
Ultra-high volume demand (>10 million units) can
engage very low unit cost manufacturing.
motion sensing LED w/ motherboard
McDonalds pre-orders >30 million of each toy.
Manufacturing cost per toy of $1.00 or less.
All images

12. Distributed Health Technologies
Resources
Human Physical Communication Target Locations
Technical Medical Infra- Capital Transport Data &
Skills Knowledge structure Investment & Supply Information
Level
A
high high high
Level B
low medium high
Level C
low low low

13. Pulse Oximeter (pulse rate and oxygen levels)
1971 = OLV-5100
All images

14. Infra-red temperature sensor “ear bud”

15. Photolithographic fabrication manufacturing allows
extremely low-cost, large-volume of complex
electronic devices.
Microfabricated sensors linked to microprocessors.
Digital data linked to wireless communication.
The “digital electronics revolution” dramatically
F changes our interaction with information.
Research advances at the University of Michigan
F on biological microsensors and communications.

16. Rapid advances in micro-sensors and devices
3-axis position acceleration air pressure
battery power magnetic fields oxygen
All images

17. Radio-frequency identification label
RF silicon
microchip
[100 µm thick]
polymer support
[50 µm thick]
metal antenna
[50 µm thick]
10 mm diameter
All images

18. High-volume low cost manufacturing
All images

19. Nasal cavity RF sensor platform
odor neurons
RF microsensor
nasal concha
palate

20. Distributed Health Technologies
Resources
Human Physical Communication Target Locations
Technical Medical Infra- Capital Transport Data &
Skills Knowledge structure Investment & Supply Information
Level
A
high high high
Level B
low medium high
Level C
low low low