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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 Liberation of Data are Forcing Change in Healthcare

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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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Page 1: Schumpeter's Gale: How Social Trends, Consumer Electronics, and the Liberation of Data are Forcing Change in Healthcare

if  a  doctor  predicts  that  his  pa.ent  will  die  presently,    it  does  not  mean  that  he  desires  it.      

Page 2: Schumpeter's Gale: How Social Trends, Consumer Electronics, and the Liberation of Data are Forcing Change in Healthcare
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if  a  doctor  predicts  that  his  pa.ent  will  die  presently,    it  does  not  mean  that  he  desires  it.      

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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        

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ques.ons?  

sms:  919-­‐452-­‐8021  @medicfurby  

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social  +  technical  +  data    

 

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community  +  connec.vity  +  content    

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technology  +  mobile  tools  +  informa.on  +  community  +  user-­‐generated  content  +  

collabora.on  +  social  interac.on  

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where  are  you?  

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Acad  Med  2009;84(11):1479-­‐81  

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Given  my  status,  what  is  the  best  outcome  I  can  hope  to  achieve,  and  how  do  I  get  there?  

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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  

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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.”  

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•  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.  

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•  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)  

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•  Fully  half  of  U.S.  adult  cell  phone  owners  (50%)  now  have  apps  on  their  phones.    

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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  

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•  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.    

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 mHealth  describes  a  broad  range  of  telecommunica.ons  and  mul.media  technologies  within  a  wireless  care  delivery  architecture.  

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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.  

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 Physicians  were  not  responsible  for  the  improvement.      – No  addi.onal  meds  – No  significant  changes  in  management    

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•  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.    

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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.  

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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.  

 

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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.  

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The  Impact  of  Tracking  

•  34%  of  trackers  say  it  has  affected  a  decision  about  how  to  treat  an  illness  or  condi.on.  

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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.    

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data  

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King,  Gary.  2011.    Ensuring  the  Data  Rich  Future  of  the  Social  Sciences.  

Science  331(11):719-­‐721.    

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Miller,  Geoffrey.  2012.    The  Smartphone  Psychology  Manifesto.  Perspec.ves  on  Psychological  Science.  7(3):

221-­‐237.  

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 world  healthcare  data  is  expected    to  grow  50x  the  current  total  

 

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•  support  research    •  transform  data  into  informa.on  •  support  self-­‐care  •  support  care  providers  •  increase  awareness  •  pool  data  to  expand  the  ecosystem  

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