presentation to hillman cancer center (university of pittsburgh) 2013
DESCRIPTION
TRANSCRIPT
Bradford W. Hesse, PhDChief, Health Communication and Informatics Research
Harnessing the Power of An Intelligent Health Environment
Friday, September 27, 2013
Founded: February 14, 2005
Entries: 48 hours / minute
8 years / per day
Available in: 54 languages
Reach: 37 % global Internet*
Founded: January 15, 2001
Registered Users: 35,000,000
Available in: 285 languages
Reach: 14 % global Internet*
* Total Global Internet Users (December 31, 2011): 2,267,233,742
Friday, September 27, 2013
Founded: September 4, 1998
Revenue: $37.905 billion
Distribution: World wide
Reach: 48 % global Internet*
* Total Global Internet Users (December 31, 2011): 2,267,233,742
Founded: February 4, 2004
Registered Users: 955,000,000
Distribution: World wide
Reach: 45 % global Internet*
Friday, September 27, 2013
March 1876: The first telephone call
• “Youngest and most wonderful development in means of communicating” - Watson
• “A means for overcoming the limitations of geography”*
1876
Learning from History: Diffusion of Telephone
First telephone call
1889
First public pay phone installed at a bank in
Hartford, Conn.
1891
First Automatic Dialer
*See: Brooks, J. (1975). Telephone: The First Hundred Years.. Harper & Row.Friday, September 27, 2013
What did the prognosticators say?
• “Really a technological toy; no business application”
• “too depersonalized” … word ‘phony’ introduced to describe the dangers of telephone anonymity.
1876
Learning from History: Diffusion of Telephone
First telephone call
1889
First public pay phone installed at a bank in
Hartford, Conn.
1891
First Automatic Dialer
*See: Brooks, J. (1975). Telephone: The First Hundred Years.. Harper & Row.Friday, September 27, 2013
The ques9on was no longer technical, it was sociotechnical.
How could telephones make a difference in business and
rela9onships?
1900Source: www.visualizationeconomics.com
1925 1950 1975 2000Friday, September 27, 2013
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Experiments in value-added “use cases:”
e.g., replace couriers
Friday, September 27, 2013
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1925 1950 1975 2000
Experiments in value-added “use cases:”
e.g., replace couriers
Post War Consumerism• “Reach out touch someone”• “Let your fingers do the walking”
Friday, September 27, 2013
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1900Source: www.visualizationeconomics.com
1925 1950 1975 2000
Experiments in value-added “use cases:”
e.g., replace couriers
Post War Consumerism• “Reach out touch someone”• “Let your fingers do the walking”
Global competition: Launch of Sputnik
Friday, September 27, 2013
1982 1988
Socioetechnical Perspec9ve:Mediated Communica9on
* Hesse BW, Werner CM, Altman I. Temporal aspects of computer-mediated communication. Computers in Human Behavior. 1988;4(2):147-165..
Irwin Altman, PhDVice President, University of Utah
Carol Werner, PhDPsychology, University of Utah
Friday, September 27, 2013
* Hesse BW, Werner CM, Altman I. Temporal aspects of computer-mediated communication. Computers in Human Behavior. 1988;4(2):147-165..
1982 1988
Can technology bridge spatial
constraints (e.g., telemedicine)?
Can asynchrony be used to overcome
temporal restraints?
How do we create a better fit between
information environment and healthy behavior? How do we improve
human factors: i.e., safety, effectiveness,
patient-centeredness, equity?
Friday, September 27, 2013
19901988* Hesse BW, Sproull L, Kiesler SB, Walsh JP. Returns to science: computer networks in oceanography. Commun. ACM. 1993;36(8):90-101.** Sproull L, Kiesler S. Connections : new ways of working in the networked organization. Cambridge, Mass.: MIT Press; 1991.
Studies of Change in Communica9on Environment (Non Medical)
Found:1.Geographic benefits: e.g., land-
locked oceanographers who were online gained in papers written, funding obtained, and collaborations reported.
2.Temporal benefits: Shift workers in state governments and commercial business gained differential benefits in productivity over day workers.
3.Social benefits: Minority factions in decision groups participated more equally online.
Friday, September 27, 2013
19961989
Motorola’s Consumer Cell Phone
Consumer Internet
See: Boyle, L.F. (1993). Averting PC Headaches: Usability Tests Aim To Find Design Bugaboos Before They Find You. San Jose Mercury News, April 4, 1993,1F & 7F. San Jose, CA.
Apple’s Newton
Cogni9ve Laboratory:User-‐Centered Design(Commercial)
Friday, September 27, 2013
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Source: http://data.worldbank.org/indicator/IT.NET.USER.P2 (through www.gapminder.org)
Internet Users (per 100 people)Rapid Diffusion
Friday, September 27, 2013
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Mobile Cellular Subscrip9ons (per 100 people)
Friday, September 27, 2013
Friday, September 27, 2013
How do we accelerate successes against cancer using the affordances of this new
environment?
Friday, September 27, 2013
This latest phase of the information revolution will change the way we create health and deliver health care … if we are smart enough to know how to use it.
— Francis Collins, Director NIH
Friday, September 27, 2013
CognitiveSciences
Cogni9ve Evalua9on MethodsUser-Centered Design Process
Source: Brinck T, Gergle D, Wood SD. Designing Web sites that work : usability for the Web. 1st ed. San Francisco: Morgan Kaufmann Publishers; 2002.
Requirements Analysis
ConceptualDesign
Mockups andPrototypes Production Launch
User Evaluation
1 2 3 4 5
!
Friday, September 27, 2013
Requirements Analysis
ConceptualDesign
Mockups andPrototypes Production Launch
1 2 3 4 5
•Market scan•Goal setting
•Audience analysis•Interviews
•User panels•User survey
•Contextual inquiry•Usage log analysis
•Search log analysis•Usability tests
•Expert review
•Site Mapping•Brainstorming
•Card sorting•Task analysis
•Storyboarding•Info. architecture
•Function specs•Integrate with marketing plans
•Design guidelines•Expert review
•Templates•Paper prototypes
•Wire frames•Focus groups
•Interviews•Usability testing
•Behavioral coding
•Usability checklists•Design guidelines
•Template use•User testing
•Behavioral coding
•Usage log analysis•Bounce-back Surveys
•Remote usability Testing•Expert review
•Behavioral coding
User-Centered Design Process
!
Cogni9ve Evalua9on MethodsCognitiveSciences
•Market scan•Goal setting
•Audience analysis•Interviews
•User panels•User survey
•Contextual inquiry•Usage log analysis
•Search log analysis•Usability tests
•Expert review
•Site Mapping•Brainstorming
•Card sorting•Task analysis
•Storyboarding•Info. architecture
•Function specs•Integrate with marketing plans
•Design guidelines•Expert review
•Templates•Paper prototypes
•Wire frames•Focus groups
•Interviews•Usability testing
•Behavioral coding
•Usability checklists•Design guidelines
•Template use•User testing
•Behavioral coding
•Usage log analysis•Bounce-back Surveys
•Remote usability Testing•Expert review
•Behavioral coding
CDC Web 2001National Breast & Cervical Cancer
Early Detection ProgramSource: Hesse BW, Shaikh A, R., Toward JI, Edgar T. Final Report of the CDC Main Web Site Evaluation. Atlanta, GA: Centers
for Disease Control and Prevention; April 2002.
Friday, September 27, 2013
ANTICIPATED
Percent Consumers to CDC Web CognitiveSciences
Friday, September 27, 2013
ANTICIPATED
ACTUAL
Percent Consumers to CDC Web CognitiveSciences
Friday, September 27, 2013
Bounceback Survey
Health care providers16%
Policymakers7%
Scientists7%
Media reps1%
Student22%
Librarian1%
Educator7%
Not related to Occupation15%
Other24%General Consumers
Bounceback Survey
Health care providers16%
Policymakers7%
Scientists7%
Media reps1%
Student22%
Librarian1%
Educator7%
Not related to Occupation15%
Other24%General Consumers
Who were visitors? How referred?CognitiveSciences
Friday, September 27, 2013
Email Analysis
Public health3%
Policymakers0%
Scientists5%
Consumers18%
Educators7%
Other24%
General Consumers
CDC0%
Media reps1% Students
20%
Providers22%
Email Analysis
Public health3%
Policymakers0%
Scientists5%
Consumers18%
Educators7%
Other24%
General Consumers
CDC0%
Media reps1% Students
20%
Providers22%
Who were visitors? How referred?CognitiveSciences
Friday, September 27, 2013
WHO4% (n=58,147)
travel.state.gov4% (69,247)
News Sites5% (n=88,772)
hss.state.ak.us0% (n=7,029)
NLM1% (n=19,606)
Search Engines86% (n=1,406,964)
WHO4% (n=58,147)
travel.state.gov4% (69,247)
News Sites5% (n=88,772)
hss.state.ak.us0% (n=7,029)
NLM1% (n=19,606)
Search Engines86% (n=1,406,964)
Who were visitors? How referred?CognitiveSciences
Content Analysis
Friday, September 27, 2013
How did this change strategy?
20
Internet is Transformational • Demassified • Decentralized
• Adaptable • Asynchronous
• Interactive • Interconnected
Traditional Communication Traditional Communication Channels Channels
CDC
State and Local Health Officials
Media
Policymakers Researchers & Practitioners
Public CDC
State and Local Health Officials
Media
Policymakers Researchers & Practitioners
Public CDC
State and Local Health Officials
Media Policymakers
Researchers & Practitioners
Public
Internet Enabled Channels Internet Enabled Channels
CognitiveSciences
See: Hesse BW. Harnessing the power of an intelligent health environment in cancer control. Stud Health Technol Inform. 2005;118:159-176.
Friday, September 27, 2013
CDC adapts
“CDC used to be in the wholesale
business of providing information to
state and local health departments.
We are now in the business of
providing health information directly
to individuals.”
- Dr. J. Gerberding, 2003
CDC Director Julie Gerberding, MD MPH
CognitiveSciences
2012 Statistics:• 746,222,316 page views• 2,970,449 views - CDC en Español
Most Popular Topics on CDC.gov• STD FACTS• CDC Homepage, Search, A-Z• Vaccines• Health Statistics• Travelers' Health• Seasonal Flu
Friday, September 27, 2013
25
Redesigned with Consumer Appeal, 2004
Link to live help
Link to Clinical Trials
Front Page Access to Descriptions
Communicating Science to the Public
Spanish SiteLaunched2006
NIH -‐ NCI AdaptsCognitiveSciences
Friday, September 27, 2013
Surveillance
July 27, 2012
CognitiveSciences
See also: Hesse BW, Nelson DE, Rutten LF, Moser RP, Beckjord EB, Chou W-YS. National Health Communication Surveillance Systems. In: D. K. Kim ASGLK, ed. Global Health Communication Strategies in the 21st Century: Design, Implementation, and Evaluation. New York, NY: Peter Lang; In Press.
.
Health Situa9onal Awareness
Friday, September 27, 2013
SurveillanceCognitiveSciences
*NIH Nominee to White House for “Open Science Champion,” May 14 2013.
Data BriefsStatisticalGuides
Peer Reviewed Publications
Web Platform for Participation*
Health Informa9on Na9onal Trends Survey (HINTS)
Friday, September 27, 2013
SurveillanceCognitiveSciences
HINTS Brief #1: Trust in channels and cancer informa9on seeking
Source: Hesse BW, Nelson DE, Kreps GL, et al. Trust and sources of health information: the impact of the Internet and its implications for health care providers: findings from the first Health Information National Trends Survey. Arch Intern Med. Dec 12-26 2005;165(22):2618-2624.
Friday, September 27, 2013
SurveillanceCognitiveSciences
Where would you prefer to go for cancer informa9on?
Source: Hesse BW, Nelson DE, Kreps GL, et al. Trust and sources of health information: the impact of the Internet and its implications for health care providers: findings from the first Health Information National Trends Survey. Arch Intern Med. Dec 12-26 2005;165(22):2618-2624.
Friday, September 27, 2013
SurveillanceCognitiveSciences
Where did you go for cancer informa9on?
Source: Hesse BW, Nelson DE, Kreps GL, et al. Trust and sources of health information: the impact of the Internet and its implications for health care providers: findings from the first Health Information National Trends Survey. Arch Intern Med. Dec 12-26 2005;165(22):2618-2624.
Friday, September 27, 2013
SurveillanceCognitiveSciences
Where did you go for cancer informa9on?
Source: Hesse BW, Nelson DE, Kreps GL, et al. Trust and sources of health information: the impact of the Internet and its implications for health care providers: findings from the first Health Information National Trends Survey. Arch Intern Med. Dec 12-26 2005;165(22):2618-2624.
Friday, September 27, 2013
How do Survivors get their cancer informa9on?
SurveillanceCognitiveSciences
Source: Hesse BW, Arora NK, Beckjord EB, Finney Rutten LJ. Information Support for Cancer Survivors. Cancer. 2008;112(11S):2529-2540.
Neeraj AroraNCI
Cancer Survivors
Friday, September 27, 2013
How do Survivors get their cancer informa9on?
SurveillanceCognitiveSciences
Source: Hesse BW, Arora NK, Beckjord EB, Finney Rutten LJ. Information Support for Cancer Survivors. Cancer. 2008;112(11S):2529-2540.
Neeraj AroraNCI
Cancer Survivors
Friday, September 27, 2013
How do Survivors get their cancer informa9on?
SurveillanceCognitiveSciences
Source: Hesse BW, Arora NK, Beckjord EB, Finney Rutten LJ. Information Support for Cancer Survivors. Cancer. 2008;112(11S):2529-2540.
Neeraj AroraNCI
Cancer Survivors
Patient to Survivor: Lost in Transition?
Friday, September 27, 2013
Source: Hesse BW, Moser RP, Rutten LJ. Surveys of physicians and electronic health information. N Engl J Med. Mar 4 2010;362(9):859-860.
SurveillanceCognitiveSciences Trends: 2002-‐2003, 2005, 2008
Friday, September 27, 2013
Source: Hesse BW, Moser RP, Rutten LJ. Surveys of physicians and electronic health information. N Engl J Med. Mar 4 2010;362(9):859-860.
SurveillanceCognitiveSciences Trends: 2002-‐2003, 2005, 2008
Friday, September 27, 2013
Source: Hesse BW, Moser RP, Rutten LJ. Surveys of physicians and electronic health information. N Engl J Med. Mar 4 2010;362(9):859-860.
SurveillanceCognitiveSciences Trends: 2002-‐2003, 2005, 2008
Friday, September 27, 2013
Source: Hesse BW, Moser RP, Rutten LJ. Surveys of physicians and electronic health information. N Engl J Med. Mar 4 2010;362(9):859-860.
SurveillanceCognitiveSciences Trends: 2002-‐2003, 2005, 2008
Friday, September 27, 2013
SurveillanceCognitiveSciences
HITECH* Act passed in 2009*Health I.T. for Economic & Clinical Health Act
Health I.T. as Foundation for Evidence
Implementation
Source: Hesse BW, Ahern DK, Woods SS. Nudging best practice: the HITECH act and behavioral medicine Translational Behavioral Medicine. 2011;1(1):175-181.
Friday, September 27, 2013
Source: Jamoom E, Beatty P, Bercovitz A, Woodwell D, Palso K, Rechtsteiner E. Physician adoption of electronic health record systems: United States, 2011. NCHS data brief. Jul 2012(98):1-8.
SurveillanceCognitiveSciences
Supply Side
Friday, September 27, 2013
Source: Jamoom E, Beatty P, Bercovitz A, Woodwell D, Palso K, Rechtsteiner E. Physician adoption of electronic health record systems: United States, 2011. NCHS data brief. Jul 2012(98):1-8.
National Ambulatory Medical Care SurveySurveillanceCognitive
SciencesSupply Side
Friday, September 27, 2013
Health Information National Trends SurveyDemand SideSurveillanceCognitive
Sciences
Friday, September 27, 2013
Health Information National Trends SurveyDemand SideSurveillanceCognitive
Sciences
Friday, September 27, 2013
Health Information National Trends SurveyDemand SideSurveillanceCognitive
Sciences
Friday, September 27, 2013
SurveillanceCognitiveSciences Understanding the digital divide
Did you use the Internet to look for medical information for yourself?
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
Less than high school High school graduate Some college (AA) College graduate(BA/BS)
Education Level
Perc
en
tag
e
2003
2005
2008
The Digital Divide
See: Rutten LF, Moser RP, Beckjord EB, Hesse, BW, Croyle RT. Cancer Communication: Health Information National Trends Survey. Washington DC: National Cancer Institute. 2007.
Lila RuttenMayo Clinic
Rick MoserNCI
Ellen BeckjordU of Pittsburgh
Med School
Friday, September 27, 2013
Understanding knowledge or belief gaps
SurveillanceCognitiveSciences
Friday, September 27, 2013
Understanding knowledge or belief gaps
SurveillanceCognitiveSciences
Friday, September 27, 2013
Understanding knowledge or belief gaps
SurveillanceCognitiveSciences
Friday, September 27, 2013
Understanding knowledge or belief gaps
SurveillanceCognitiveSciences
Friday, September 27, 2013
Understanding knowledge or belief gaps
SurveillanceCognitiveSciences
Friday, September 27, 2013
Understanding knowledge or belief gaps
SurveillanceCognitiveSciences
Friday, September 27, 2013
Understanding knowledge or belief gaps
SurveillanceCognitiveSciences
Friday, September 27, 2013
Understanding knowledge or belief gaps
SurveillanceCognitiveSciences
Friday, September 27, 2013
What about “Web 2.0?”SurveillanceCognitiveSciences
Source: Chou WY, Hunt YM, Beckjord EB, Moser RP, Hesse BW. Social media use in the United States: implications for health communication. J Med Internet Res. 2009;11(4):e48.
Wen-Ying (Sylvia) ChouWeb 2.0: Platforms for Participation
Friday, September 27, 2013
SurveillanceCognitiveSciences
Wen-Ying (Sylvia) ChouWeb 2.0: Platforms for Participation
What about “Web 2.0?”
Friday, September 27, 2013
SurveillanceCognitiveSciences
Gary Kreps Paula Kim
Agreement between NCI (Bradford Hesse) and Health Ministry of China (Mao Qu’nan) to cooperate in areas of Health Communication & Informatics Research
-George Mason University, March 29
Can we learn from comparisons across cultures?
Wen-Ying (Sylvia) Chou
Friday, September 27, 2013
HINTS China AllianceSurveillanceCognitiveSciences
U.S. Death RatesACS Cancer Facts & Figures
Friday, September 27, 2013
HINTS China Alliance: PilotSurveillanceCognitiveSciences
Friday, September 27, 2013
HINTS China Alliance: PilotSurveillanceCognitiveSciences
Friday, September 27, 2013
Surveillance on Communica9on Environment
44
Friday, September 27, 2013
Iden9fying System Level Needs / Strategies
State of the Science & PracticeFebruary 14, 2011
Synthesis of Systematic ReviewsAugust 20, 2012
Blueprint: Uniting Systems through Communication Science
Late summer, 2013
• Health Impact Framework (CDC)• Targets across continuum• Affordable Care Act
• Health Information Technology for Economic & Clinical Health:HITECH
• Technology Mediated Social Participation (Health 2.0)
• Dissemination and Implementation Science
• Agenda-aligning communications
Surveillance System Sciences
CognitiveSciences
Friday, September 27, 2013
NSF: Technology Mediated Social Par9cipa9on
Surveillance Health 2.0CognitiveSciences
Source: Hesse BW, Hansen D, Finholt T, Munson S, Kellogg W, Thomas JC. Social Participation in Health 2.0. IEEE Computer. 2010;43(11):45-52.
Surveillance System Sciences
CognitiveSciences
Friday, September 27, 2013
Courtesy of Oracle Systems
See: *Nelson DE, Hesse BW, Croyle RT. Making Data Talk: Communicating Health Data to the Public, Policy, and the Press. New York, NY: Oxford; 2009. **Shneiderman B, Plaisant C, Hesse BW. Improving Healthcare with Interactive Visualization. In: Catherine P, Bradford WH, eds. IEEE Computer. Vol
462013:58-66.
May 2013**
Surveillance System Sciences
CognitiveSciences
May 2009*
Communica9ng Evidence
Friday, September 27, 2013
Transforming Cancer Research and Prac9ce
Bill Chismar Abdul Shaikh
Source: Chismar W, Horan TA, Hesse BW, Feldman SS, Shaikh AR. Health cyberinfrastructure for collaborative use-inspired research and practice. Am J Prev Med. May 2011;40(5 Suppl 2):S108-114.
Surveillance System Sciences
CognitiveSciences
Friday, September 27, 2013
ASCO’s Blueprint, 2011
Oncology as information science: “The Learning Health Care System”
Hospital Based EHR Data
Hospital Based EHR Data
Health Information Exchange
MedicalTeam
Patient &
FamilyHospital System
DecisionSupportNeeds
Subjective• Chief complaint• Patient Reported Outcomes
• Risk modeling• Diagnostic support • Treatment selection • Guideline adherence• Error detection/correction
Medical Researcher
• Situational awareness• Population health• Continuity of care• Identify side effects• Inform discovery
Objective• Clinical measures• Laboratory findings • Sensor data
Assessment• Diagnosis• Categorical reporting• Prognosis
Plan• Treatment planning• Self-care planning• Post treatment• Surveillance
See: Hesse BW, Ahern DK, Woods SS. Nudging best practice: the HITECH act and behavioral medicine Translational Behavioral Medicine. 2011;1(1):175-181. Hesse BW, Croyle RT, Buetow KH. Cyberinfrastructure and the biomedical sciences. Am J Prev Med. May 2011;40(5 Suppl 2):S97-102.
Hospital Based EHR Data
Hospital Based EHR Data
Health Information Exchange
MedicalTeam
Patient &
FamilyHospital System
DecisionSupportNeeds
Subjective• Chief complaint• Patient Reported Outcomes
• Risk modeling• Diagnostic support • Treatment selection • Guideline adherence• Error detection/correction
Medical Researcher
• Situational awareness• Population health• Continuity of care• Identify side effects• Inform discovery
Objective• Clinical measures• Laboratory findings • Sensor data
Assessment• Diagnosis• Categorical reporting• Prognosis
Plan• Treatment planning• Self-care planning• Post treatment• Surveillance
Surveillance System Sciences
CognitiveSciences
Friday, September 27, 2013
Are we really partnering with pa9ents?
Hugo Campos
Hospital Based EHR Data
Hospital Based EHR Data
Health Information Exchange
MedicalTeam
Patient &
FamilyHospital System
DecisionSupportNeeds
Subjective• Chief complaint• Patient Reported Outcomes
• Risk modeling• Diagnostic support • Treatment selection • Guideline adherence• Error detection/correction
Medical Researcher
• Situational awareness• Population health• Continuity of care• Identify side effects• Inform discovery
Objective• Clinical measures• Laboratory findings • Sensor data
Assessment• Diagnosis• Categorical reporting• Prognosis
Plan• Treatment planning• Self-care planning• Post treatment• Surveillance
Surveillance System Sciences
CognitiveSciences
Friday, September 27, 2013
Are we really partnering with pa9ents?
Hugo Campos
Hospital Based EHR Data
Hospital Based EHR Data
Health Information Exchange
MedicalTeam
Patient &
FamilyHospital System
DecisionSupportNeeds
Subjective• Chief complaint• Patient Reported Outcomes
• Risk modeling• Diagnostic support • Treatment selection • Guideline adherence• Error detection/correction
Medical Researcher
• Situational awareness• Population health• Continuity of care• Identify side effects• Inform discovery
Objective• Clinical measures• Laboratory findings • Sensor data
Assessment• Diagnosis• Categorical reporting• Prognosis
Plan• Treatment planning• Self-care planning• Post treatment• Surveillance
Surveillance System Sciences
CognitiveSciences
Friday, September 27, 2013
Are we really partnering with pa9ents?
Hugo Campos
Hospital Based EHR Data
Hospital Based EHR Data
Health Information Exchange
MedicalTeam
Patient &
FamilyHospital System
DecisionSupportNeeds
Subjective• Chief complaint• Patient Reported Outcomes
• Risk modeling• Diagnostic support • Treatment selection • Guideline adherence• Error detection/correction
Medical Researcher
• Situational awareness• Population health• Continuity of care• Identify side effects• Inform discovery
Objective• Clinical measures• Laboratory findings • Sensor data
Assessment• Diagnosis• Categorical reporting• Prognosis
Plan• Treatment planning• Self-care planning• Post treatment• Surveillance
Surveillance System Sciences
CognitiveSciences
Friday, September 27, 2013
Are we really partnering with pa9ents?
Hugo Campos
Hospital Based EHR Data
Hospital Based EHR Data
Health Information Exchange
MedicalTeam
Patient &
FamilyHospital System
DecisionSupportNeeds
Subjective• Chief complaint• Patient Reported Outcomes
• Risk modeling• Diagnostic support • Treatment selection • Guideline adherence• Error detection/correction
Medical Researcher
• Situational awareness• Population health• Continuity of care• Identify side effects• Inform discovery
Objective• Clinical measures• Laboratory findings • Sensor data
Assessment• Diagnosis• Categorical reporting• Prognosis
Plan• Treatment planning• Self-care planning• Post treatment• Surveillance
Surveillance System Sciences
CognitiveSciences
Friday, September 27, 2013
Pa9ents Char9ng the Way
Dr. Susan Love Jamie HeywoodPatients Like Me
Surveillance System Sciences
CognitiveSciences
Friday, September 27, 2013
Partnering Against Cancer Today
Friday, September 27, 2013
Partnering Against Cancer Today
Friday, September 27, 2013