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Hacking	
 Health
Designing	
 for	
 and	
 understanding	
 my	
 health

Juhan	
 Sonin
March	
 2011
Your	
 health	
 data	
 is	
 going	
 油糸庄乙庄岳温鉛.
Your	
 pets	
 health	
 data	
 is	
 油糸庄乙庄岳温鉛.
How	
 did	
 I	
 get	
 into	
 the	
 Design	
 of	
 Health?




I	
 didnt	
 have	
 a	
 pulse	
 on	
 my	
 
health,	
 let	
 alone	
 the	
 data.

Cholesterol	
 Check	
 at	
 MITRE	
 in	
 2006
370	
 
Total	
 Cholesterol	
 ,	
 2006




                                    Cheese	
 and	
 salami	
 was	
 coursing	
 
                                    through	
 my	
 blood	
 stream	
 (based	
 on	
 
                                    a	
 meal	
 the	
 night	
 before	
 the	
 
                                    cholesterol	
 test)
I	
 had	
 no	
 clue	
 what	
 my	
 health	
 metrics	
 were.
I	
 had	
 a	
 beLer	
 pulse	
 on	
 the	
 health	
 of	
 my	
 car.
and	
 the	
 Problem	
 is
Increasingly	
 complex	
 systems
     Tool	
 and	
 Methodology	
 gap
Decision	
 makers	
 are	
 swamped	
 with	
 con鍖icDng	
 data
     Our	
 work	
 is	
 increasingly	
 mulD-足dimensional	
 (not	
 a	
 鍖at-足
      decision	
 space)
ArDfacts	
 driving	
 decisions	
 need	
 to	
 be	
 coordinated,	
 
  presented
Minimal	
 transparency	
 into	
 key	
 health	
 metrics
"Hacking Health" by Juhan Sonin
How	
 do	
 I	
 (as	
 a	
 pa7ent,	
 nurse,	
 
doctor,	
 proxy)	
 make	
 quicker,	
 
more	
 accurate	
 decisions?
"Hacking Health" by Juhan Sonin
"Hacking Health" by Juhan Sonin
"Hacking Health" by Juhan Sonin
Started	
 collecOng	
 and	
 
designing	
 the	
 basics

Weight,
Waist	
 circumference,
Cholesterol,
Exercise,
Food	
 intake
From	
 sketch	
 to	
 油糸庄乙庄岳温鉛
Early	
 health	
 card	
 油糸艶壊庄乙稼壊
Got	
 a	
 checkup.
First	
 Ome	
 in	
 6	
 years.

But
The	
 doctors	
 back	
 was	
 to	
 me	
 while	
 he	
 asked	
 me	
 
ques7ons	
 (and	
 then	
 he	
 typed	
 the	
 answers	
 into	
 
the	
 computer),	
 

zero	
 ques7ons	
 about	
 Life	
 outside	
 of	
 tradi7onal	
 
health	
 info,

no	
 physical	
 or	
 emailed	
 takeaways	
 of	
 next	
 steps	
 
from	
 the	
 exam
How	
 do	
 I	
 become	
 an	
 informed	
 
and	
 empowered	
 paOent?
HealthCard	
 was	
 
born

Prototyped	
 with	
 
doctors,	
 nurses,	
 
emergency	
 
responders	
 and	
 
oh	
 yea,	
 paOents.
Used	
 real	
 data	
 my	
 own	
 data


Design	
 with	
 fake	
 data	
 =	
 
fake	
 design
Real	
 data:
needs	
 to	
 be	
 grokked	
 by	
 you
has	
 min/max	
 values,	
 outliers
needs	
 ampli鍖caOon,	
 cleanup
begets	
 real	
 feedback	
 +	
 forces	
 people	
 to	
 make	
 real	
 decisions
System	
 view	
 of	
 my	
 familys	
 health
Followed	
 doctors	
 and	
 nurses	
 at	
 several	
 Boston	
 
hospitals	
 to	
 SEE	
 Healthcare	
 in	
 acOon.




Partner	
 in	
 crime,	
 Rob	
 McCready	
 watching	
 surgery.
Our	
 forecast
Designing	
 a	
 beauOful	
 and	
 
clinically	
 relevant	
 
experience	
 without	
 
beauOful	
 data	
 =

recipe	
 for	
 disaster.
So	
 we	
 got	
 into	
 the	
 data	
 +	
 standards	
 game:




                                                                               hData
projectlaika.org                                                             projecthdata.org
Open	
 source	
 so^ware	
 has	
 become	
 part	
 of	
 the	
 CCHIT	
  hData	
 is	
 a	
 method	
 of	
 storing	
 and	
 exchanging	
 health	
 
cerO鍖caOon                                                                   informaOon

Laika	
 is	
 responsible	
 for	
 automaOng	
 data	
                      Goal:	
 In鍖uence/create	
 Health	
 IT	
 standards	
 to	
 ease	
 
interoperability	
 tesOng	
 of	
 Electronic	
 Health	
 Record	
          implementaOon	
 and	
 speed	
 adopOon
systems
                                                                               Why?	
 Complexity	
 and	
 design	
 of	
 current	
 standards	
 are	
 
HITSP	
 Specs	
 on	
 ConOnuity	
 of	
 Care                                a	
 huge	
 barrier	
 to	
 adopOon	
 and	
 e鍖ecOve	
 usage
IHE	
 specs	
 on	
 Document	
 Exchange
US	
 Healthcard




Smartcard	
 to	
 standardize	
 the	
 healthcare	
 entry	
 point	
 
transacOon

Prototype	
 US	
 Healthcard	
 data	
 model,	
 design,	
 and	
 explore	
 HHS	
 
adopOon
Why	
 not	
 a	
 油1040-足H遺?
"Hacking Health" by Juhan Sonin
Health	
 devices	
 are	
 gehng	
 cheaper
Costs	
 approaching	
 zero.

The	
 cost	
 of	
 data	
 is	
 also	
 approaching	
 zero.
Body	
 Probes




Torn	
 bicep
Daily	
 acOvity	
 
dashboard

Using	
 2+	
 years	
 
(0.999	
 human	
 
upOme)
Wireless,	
 self-足syncing	
 devices
Part	
 of	
 my	
 daily	
 rouOne
At	
 work
Monthly
Cholesterol	
 
and	
 glucose	
 
self	
 tesOng
Jumped	
 into	
 personal	
 genomics
23andMe	
 (for	
 all	
 my	
 family	
 members),	
 
Personal	
 Genome	
 Project	
 ParOcipant
23andme.com
Medical	
 home

                       IMPLANT
               PULSE
                OX
     BLOOD-
    PRESSURE
      CUFF
                                 Cell Phone

PEDOMETER                                     Digital
                                              Home
   WEIGHT
   SCALE                                      PC

                                                        Internet   Family     Disease    Healthcare   Personal
    FITNESS                                                         care    management                 Health
   EQUIPMENT                                                                             providers
                                                                   givers    services                 Records

        MEDICATION        Personal Health System
         TRACKING
Telemedicine




Intel	
 Health	
 Guide:	
 It	
 integrates	
 personal	
 
communicaDon	
 with	
 the	
 doctor,	
 medicaDon	
 
reminders,	
 educaDonal	
 informaDon,	
 and	
 
videoconferencing	
 for	
 the	
 home.
Assisted	
 living

                                                                                                                                   I	
 opened	
 the	
 door




                                                                                                                                      Im	
 watching	
 TV




                                                                                                                                      Im	
 going	
 to	
 bed




Sensors:	
 Mo7on,	
 Fire/Smoke/CO2,	
 Occupancy	
 (Bed/Chair),	
 Use	
 (Door,	
 Stove,	
 Fridge,	
 Tub),	
 Loca7on	
 (Alzheimer's),	
 Fall	
 Alarms,	
 Water	
 鍖ow
Sensors	
 throughout

Spare	
 Bedroom   Master	
 Bedroom




                                       Bathroom


                                              Living	
 Room
        Kitchen
"Hacking Health" by Juhan Sonin
"Hacking Health" by Juhan Sonin
"Hacking Health" by Juhan Sonin
"Hacking Health" by Juhan Sonin
"Hacking Health" by Juhan Sonin
Enable	
 online	
 clinic	
 for	
 the	
 pracOce	
 of	
 medicine

Evolve	
 the	
 FOSS	
 Healthcare	
 as	
 a	
 so^ware	
 service	
 
model

School	
 nurse	
 at	
 鍖rst;
evolve	
 to	
 state-足of-足the-足art	
 ambulatory	
 screen	
 clinic	
 
(diabetes,	
 obesity,	
 cardiovascular,	
 asthma,	
 allergies)	
 in	
 
2	
 years
So	
 we	
 prototyped	
 a	
 
health	
 staOon.
"Hacking Health" by Juhan Sonin
Self-足service	
 health	
 kiosk
   Brief	
 engagement	
 to	
 assess	
 current	
 health
   Simple	
 and	
 minimally	
 invasive
   Get	
 a	
 health	
 snapshot	
 or	
 monitor	
 changes	
 over	
 Ome



Open	
 planorm
   Can	
 add	
 addiOonal	
 measurement	
 devices
   Bluetooth,	
 Wi鍖,	
 and	
 web	
 accessible
   Accessible	
 API	
 for	
 building	
 home	
 grown	
 apps



Measurements
   Blood	
 pressure
   Weight
   Body	
 composiOon
   HydraOon
   Pulse
   Temperature
   Eyesight
   Hearing
   RespiraOon
Evolve	
 from	
 nurse-足aLended	
 to
self-足service	
 health	
 experience
"Hacking Health" by Juhan Sonin
"Hacking Health" by Juhan Sonin
How	
 do	
 you	
 get	
 a	
 pulse	
 on	
 key	
 health	
 
metrics	
 without	
 a	
 single	
 tear?

Early	
 detecOon	
 of	
 chronic	
 diseases	
 will	
 be	
 as	
 
easy	
 as	
 carrying	
 your	
 cell	
 phone	
 in	
 your	
 
pocket.

Engaged	
 paOents	
 will	
 increasingly	
 self-足check	
 
and	
 self-足monitor	
 using	
 bloodless,	
 self-足
administered	
 medical	
 tests.
"Hacking Health" by Juhan Sonin
5	
 million	
 doctors




6.7	
 billion	
 pa,ents
"Hacking Health" by Juhan Sonin
4.7	
 billion	
 cell	
 phones




6.8	
 billion	
 paOents
"Hacking Health" by Juhan Sonin
paOents


SCALE
mHealth	
 Axioms

Bring	
 the	
 examinaDon	
 room	
 to	
 the	
 paDent

Bring	
 the	
 collecDve	
 experDse	
 of	
 the	
 pracDce,	
 the	
 standard	
 
of	
 care,	
 to	
 the	
 paDents	
 bedside	
 or	
 home

Migrate	
 from	
 a	
 system	
 of	
 episodic	
 evaluaDon	
 to	
 a	
 system	
 
of	
 conDnuous	
 assessment

Expect	
 paDents	
 and	
 their	
 families	
 to	
 be	
 their	
 own	
 primary	
 
care	
 provider	
 (key	
 member	
 of	
 the	
 care	
 team)
"Hacking Health" by Juhan Sonin
"Hacking Health" by Juhan Sonin
"Hacking Health" by Juhan Sonin
"Hacking Health" by Juhan Sonin
"Hacking Health" by Juhan Sonin
"Hacking Health" by Juhan Sonin
"Hacking Health" by Juhan Sonin
hGraph
      Compelling,	
 standardized	
 visual	
 representa7ons	
 of	
 a	
 pa7ents	
 health	
 statuson	
 the	
 celltop
      Designed	
 to	
 increase	
 awareness	
 of	
 the	
 individuals	
 factors	
 that	
 can	
 a鍖ect	
 ones	
 health
      Open	
 source	
 healthcare	
 applica7on	
 
      Created	
 for	
 mobile	
 devices,	
 star7ng	
 with	
 the	
 iPhone	
 and	
 iPad
Your	
 health	
 in	
 one	
 picture
      Users	
 provide,	
 view,	
 share,	
 and	
 understand	
 a	
 holis7c	
 view	
 of	
 their	
 health	
 	
 
      Based	
 on	
 an	
 individuals	
 health	
 data,	
 iden7鍖es	
 where	
 an	
 individuals	
 health	
 numbers	
 are,	
 
         and	
 where	
 they	
 should	
 be
      Pa7ent	
 focused,	
 with	
 professional	
 clinical	
 relevance	
 
hScore
      Single	
 aggregated	
 number	
 ranging	
 from	
 1-足100	
 that	
 represents	
 best	
 knowledge	
 status	
 of	
 an	
 
          individuals	
 health
      Experimental	
 measure	
 correlated	
 with	
 sta7s7cal	
 data	
 from	
 open	
 sources
"Hacking Health" by Juhan Sonin
"Hacking Health" by Juhan Sonin
"Hacking Health" by Juhan Sonin
"Hacking Health" by Juhan Sonin
"Hacking Health" by Juhan Sonin
hGraph
Used	
 as	
 status	
 	
 
indicator	
 for	
 current	
 
plan	
 of	
 care

Recent	
 updates	
 can	
 
trigger	
 just	
 in	
 Dme	
 
healthcare	
 consults

AddiDonal	
 mHealth	
 
monitors	
 augment	
 
hGraph	
 scope	
 and	
 
real-足Dme	
 nature

Live	
 consults	
 with	
 
healthcare	
 
professionals
"Hacking Health" by Juhan Sonin
85%	
 of	
 adults	
 have	
 a	
 
cellphone	
 today
The	
 Future:	
 Stage	
 zero	
 detecOon



           90%	
 Survive                            10%	
 Survive




    Early	
 stage	
 detecDon   Late	
 stage	
 detecDon
Special	
 thanks	
 to:
Rob	
 Dingwell
Andrew	
 Gregorowicz
Dirk	
 Knemeyer
Rob	
 McCready
Harry	
 Sleeper
Brian	
 Staats
Hacking	
 Health
Designing	
 for	
 and	
 understanding	
 my	
 health

Juhan	
 Sonin

More Related Content

"Hacking Health" by Juhan Sonin

  • 1. Hacking Health Designing for and understanding my health Juhan Sonin March 2011
  • 2. Your health data is going 油糸庄乙庄岳温鉛.
  • 3. Your pets health data is 油糸庄乙庄岳温鉛.
  • 4. How did I get into the Design of Health? I didnt have a pulse on my health, let alone the data. Cholesterol Check at MITRE in 2006
  • 5. 370 Total Cholesterol , 2006 Cheese and salami was coursing through my blood stream (based on a meal the night before the cholesterol test)
  • 6. I had no clue what my health metrics were. I had a beLer pulse on the health of my car.
  • 7. and the Problem is Increasingly complex systems Tool and Methodology gap Decision makers are swamped with con鍖icDng data Our work is increasingly mulD-足dimensional (not a 鍖at-足 decision space) ArDfacts driving decisions need to be coordinated, presented Minimal transparency into key health metrics
  • 9. How do I (as a pa7ent, nurse, doctor, proxy) make quicker, more accurate decisions?
  • 13. Started collecOng and designing the basics Weight, Waist circumference, Cholesterol, Exercise, Food intake
  • 14. From sketch to 油糸庄乙庄岳温鉛
  • 15. Early health card 油糸艶壊庄乙稼壊
  • 16. Got a checkup. First Ome in 6 years. But The doctors back was to me while he asked me ques7ons (and then he typed the answers into the computer), zero ques7ons about Life outside of tradi7onal health info, no physical or emailed takeaways of next steps from the exam
  • 17. How do I become an informed and empowered paOent?
  • 18. HealthCard was born Prototyped with doctors, nurses, emergency responders and oh yea, paOents.
  • 19. Used real data my own data Design with fake data = fake design Real data: needs to be grokked by you has min/max values, outliers needs ampli鍖caOon, cleanup begets real feedback + forces people to make real decisions
  • 20. System view of my familys health
  • 21. Followed doctors and nurses at several Boston hospitals to SEE Healthcare in acOon. Partner in crime, Rob McCready watching surgery.
  • 23. Designing a beauOful and clinically relevant experience without beauOful data = recipe for disaster.
  • 24. So we got into the data + standards game: hData projectlaika.org projecthdata.org Open source so^ware has become part of the CCHIT hData is a method of storing and exchanging health cerO鍖caOon informaOon Laika is responsible for automaOng data Goal: In鍖uence/create Health IT standards to ease interoperability tesOng of Electronic Health Record implementaOon and speed adopOon systems Why? Complexity and design of current standards are HITSP Specs on ConOnuity of Care a huge barrier to adopOon and e鍖ecOve usage IHE specs on Document Exchange
  • 25. US Healthcard Smartcard to standardize the healthcare entry point transacOon Prototype US Healthcard data model, design, and explore HHS adopOon
  • 26. Why not a 油1040-足H遺?
  • 28. Health devices are gehng cheaper Costs approaching zero. The cost of data is also approaching zero.
  • 30. Daily acOvity dashboard Using 2+ years (0.999 human upOme)
  • 32. Part of my daily rouOne At work
  • 34. Jumped into personal genomics 23andMe (for all my family members), Personal Genome Project ParOcipant
  • 36. Medical home IMPLANT PULSE OX BLOOD- PRESSURE CUFF Cell Phone PEDOMETER Digital Home WEIGHT SCALE PC Internet Family Disease Healthcare Personal FITNESS care management Health EQUIPMENT providers givers services Records MEDICATION Personal Health System TRACKING
  • 37. Telemedicine Intel Health Guide: It integrates personal communicaDon with the doctor, medicaDon reminders, educaDonal informaDon, and videoconferencing for the home.
  • 38. Assisted living I opened the door Im watching TV Im going to bed Sensors: Mo7on, Fire/Smoke/CO2, Occupancy (Bed/Chair), Use (Door, Stove, Fridge, Tub), Loca7on (Alzheimer's), Fall Alarms, Water 鍖ow
  • 39. Sensors throughout Spare Bedroom Master Bedroom Bathroom Living Room Kitchen
  • 45. Enable online clinic for the pracOce of medicine Evolve the FOSS Healthcare as a so^ware service model School nurse at 鍖rst; evolve to state-足of-足the-足art ambulatory screen clinic (diabetes, obesity, cardiovascular, asthma, allergies) in 2 years
  • 46. So we prototyped a health staOon.
  • 48. Self-足service health kiosk Brief engagement to assess current health Simple and minimally invasive Get a health snapshot or monitor changes over Ome Open planorm Can add addiOonal measurement devices Bluetooth, Wi鍖, and web accessible Accessible API for building home grown apps Measurements Blood pressure Weight Body composiOon HydraOon Pulse Temperature Eyesight Hearing RespiraOon
  • 49. Evolve from nurse-足aLended to self-足service health experience
  • 52. How do you get a pulse on key health metrics without a single tear? Early detecOon of chronic diseases will be as easy as carrying your cell phone in your pocket. Engaged paOents will increasingly self-足check and self-足monitor using bloodless, self-足 administered medical tests.
  • 54. 5 million doctors 6.7 billion pa,ents
  • 56. 4.7 billion cell phones 6.8 billion paOents
  • 59. mHealth Axioms Bring the examinaDon room to the paDent Bring the collecDve experDse of the pracDce, the standard of care, to the paDents bedside or home Migrate from a system of episodic evaluaDon to a system of conDnuous assessment Expect paDents and their families to be their own primary care provider (key member of the care team)
  • 67. hGraph Compelling, standardized visual representa7ons of a pa7ents health statuson the celltop Designed to increase awareness of the individuals factors that can a鍖ect ones health Open source healthcare applica7on Created for mobile devices, star7ng with the iPhone and iPad Your health in one picture Users provide, view, share, and understand a holis7c view of their health Based on an individuals health data, iden7鍖es where an individuals health numbers are, and where they should be Pa7ent focused, with professional clinical relevance hScore Single aggregated number ranging from 1-足100 that represents best knowledge status of an individuals health Experimental measure correlated with sta7s7cal data from open sources
  • 73. hGraph Used as status indicator for current plan of care Recent updates can trigger just in Dme healthcare consults AddiDonal mHealth monitors augment hGraph scope and real-足Dme nature Live consults with healthcare professionals
  • 75. 85% of adults have a cellphone today
  • 76. The Future: Stage zero detecOon 90% Survive 10% Survive Early stage detecDon Late stage detecDon
  • 77. Special thanks to: Rob Dingwell Andrew Gregorowicz Dirk Knemeyer Rob McCready Harry Sleeper Brian Staats
  • 78. Hacking Health Designing for and understanding my health Juhan Sonin