Presented at Medicine X, September 2012

1. Scaling Self-Experimentation
IDA
SIM,
CO-­‐FOUNDER
September
28,
2012
A
project
of
the
Tides
Center
and
Professor
of
Medicine,
University
of
California
San
Francisco

2. n
=
1

3. (n
=
1).n

4. n
Σ (n
=
1).

6. data
driven
feedback
loops

7. 2

8. without
better
sensemaking
to
drive
these
feedback
loops…

9. Plateau
of
Diminished
Promise

11. open
architecture
for
mobile
health
activity classification
graphing
mobility data
over time
a
small
set
of
common
principles/practices
by
which
these
modules
are
described
and
interface
to
one
another

12. enabling
reuse,
integration,
and
innovation
getting
further
together
faster…

13. n
Σ (n
=
1).

14. does
caffeine
affect
my
sleep?
N-­‐of-­‐1
study
design
caffeine
no
caffeine
caffeine
sleep
sleep
no
caffeine
caffeine
no
caffeine

15. scaling
(n
=
1)
n
Outcome
Variables
• a
caffeine
definition
module
• a
sleep
definition
module,
with
APIs
for
getting
sleep
data
from
various
monitors
• new
variables
that
take
advantage
of
mobile
(e.g.,
reality
mining)
Scripting
study
protocols
• e.g.,
modules
for
setting
up
an
n-­‐of-­‐1
study

16. n
Σ
scaling
(n=1)
Make
the
findings
comparable
for
aggregation
• libraries
of
standard
measures
(e.g.,
PHQ-­‐9,
PROMIS)
• indexing
of
variables
and
results
and
to
standard
vocabularies

17. n
Σ
scaling
(n=1)
Need
to
describe
context
to
combine
apples
with
apples
• who
is
“n”:
demographics,
important
clinical
features
• study
approach:
ad
hoc,
n-­‐of-­‐1,
etc.
• activity
context:
walking?
running?
• social
context:
…
• technical
context:
device,
operating
system,
app,
version,
sampling
rate…
• etc.

18. 2

19. connect
with
us
• Web:
www.openmhealth.org
• Twitter:
@open_mhealth
•
email@openmhealth.org