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©2016 MFMER | slide-1
Technology Disrupters: The
Impact of Social Media
Look to the Future SAM Session
Amy L. Kotsenas, MD
@AmyKotsenas
American Society of Neuroradiology 54th Annual Meeting
Washington, DC
May 23, 2016
©2016 MFMER | slide-2
No financial disclosures
You are welcome to share my
content on social media
©2016 MFMER | slide-3
©2016 MFMER | slide-4
©2016 MFMER | slide-5
©2016 MFMER | slide-6
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©2016 MFMER | slide-10
How is Social Media
Impacting Healthcare?
Some statistics...
©2016 MFMER | slide-11
>40% of consumers say that information
found on social media affects the way
they deal with their health. (source:
Mediabistro)
YouTube traffic to hospital sites has
increased 119% year-over-year.
(source: Google’s Think Insights)
The Mayo Clinic’s podcast listeners rose
by 76,000 after the clinic started using
social media. (source: Infographics
Archive)
©2016 MFMER | slide-12
If a personal trainer, health insurance company
or government organization makes a post about
health, only 30 to 40 percent of people will
trust the post. (source: Infographics Archive)
90% of respondents aged 18 to 24 say they
would trust medical information shared by
others on their social media networks.
(source: Search Engine Watch)
41% of people said social media would
affect their choice of a specific doctor,
hospital, or medical facility.
(source: Demi & Cooper Advertising
and DC Interactive Group)
©2016 MFMER | slide-13
Social media posts and activity by doctors are
trusted by over 60% - more than those of any
other group. (source: Infographics Archive)
Patients trust us. Building a positive
online relationship with our patients
can build positive offline relationships
©2016 MFMER | slide-14
Patient
engagement:
Focus on
Satisfaction
and
Education
©2016 MFMER | slide-15
Patient Satisfaction
• Increasingly tied
to reimbursement
• Higher co-pays
and deductibles
•  increased
expectation for
high level of
service
©2016 MFMER | slide-16
Ratings Websites
• Traditional surveys –
Press-Ganey, HCAHPS –
provide limited
information
• Only 6% of patients
aware of
HospitalCompare
• 65% aware of online
physician ratings sites
• Social media allows
expression of opinions in
free-text form
©2016 MFMER | slide-17
Social-media driven
modification of radiology
practices could improve
quality and safety, reduce
medicolegal risk, improve
outcomes, and increase
revenue.
©2016 MFMER | slide-18
©2016 MFMER | slide-19
Ratings Websites
• Doshi et al JACR 2016
• Yelp reviews
• 126 imaging centers in 46 cities
• 1009 reviews, 2582 individual comments
• Average rating was 3.43  1.14 (range 1-5)
• Average restaurant rating is 3.8
• An increase of ½ star increases reservations
by 20%, revenue by 10%*
*Luca Harvard Business School Working Paper, No. 12-016, September 2011.
©2016 MFMER | slide-20
Ratings Websites
• Service Quality - 86%:
• Professionalism of staff:
technologists,
schedulers,
receptionists, billers
• Office wait times
• Physical conditions
• Radiologist related -
14%
• Report content related -
3.4%
Doshi J Am Coll Radiol 2016;13:210-216
SAM Alert
©2016 MFMER | slide-21
Reviews
“the technologist made fun of me for
asking questions—he actually laughed
at me. They were so rude it made me
uncomfortable, I actually left and got
my MRI elsewhere.”
Doshi J Am Coll Radiol 2016;13:210-216
“[the technologist] took the time to
explain each step carefully and I never
felt as though I didn’t know what was
happening next. Just outstanding care.”
OR
©2016 MFMER | slide-22
Reviews
Unfortunately the neurologist
I was assigned to [redacted]
was arrogant and pedantic.
The one positive was I
was confident that
whoever read my MRI
was first rate and
eliminated the possibility
that I had a tumor.
©2016 MFMER | slide-23
Reviews
..after reading everything
the Radiologist asked to
speak with me. She went
over all my films and I left
with a letter she signed
saying there were no
problems.
©2016 MFMER | slide-24
Ratings Websites
• Patients expect high quality image
acquisition and interpretation from all
imaging centers
• Differentiator of imaging centers is related
to service quality
• Goal: Overall positive patient experience
Doshi J Am Coll Radiol 2016;13:210-216
©2016 MFMER | slide-25
©2016 MFMER | slide-26
Patient Education
©2016 MFMER | slide-27
CT Radiation Risk on @twitter
• Prabhu and Rosenkrantz
• Analyzed 621 posts by 557 unique twitter users
• Most are not healthcare personnel
• 90 physicians; only 17 radiologists (3%)
• Most posts were unfavorable
Prabhu AJR 2015;204(1):W48-51SAM Alert
©2016 MFMER | slide-28
CT Radiation Risk on @twitter
• Prabhu and Rosenkrantz
• Links to 99 articles
• Only 13 were peer-reviewed medical sources
Prabhu AJR 2015;204(1):W48-51
©2016 MFMER | slide-29
CT Radiation Risk on
Goenka ARRS 2016
• Goenka et al
• YouTube search
using phrase “CT
Radiation”
• 53 videos
generated 93,254
total views
• Half (53%)
intended for lay
audience
• 87% were > 2-
years old
©2016 MFMER | slide-30
CT Radiation Risk on
• Goenka et al
• Majority of YouTube
videos on CT radiation:
• Uploaded by non-radiology
sources (57%)
• Misleading, unfavorable
towards CT radiation
• Yet, these videos are
viewed as often as videos
by radiology sources
Goenka ARRS 2016
©2016 MFMER | slide-31
CT Radiation Risk on
Compared to all other
sources, videos by
radiology sources were:
• More likely to be
accurate (96% versus
57%, P=0.001)
• Present a favorable or
neutral position toward
CT radiation (91% versus
53%, P=0.003)
• Focus on risk-benefit
analysis of CT radiation
(70%)
Goenka ARRS 2016
©2016 MFMER | slide-32
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©2016 MFMER | slide-35
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Antheunis Patient Education and Counseling 2013:92(3);426–431
Health Related Use of Social Media
Healthcare ProfessionalsPatients
©2016 MFMER | slide-38
Fig 1
Prabhu J Am Coll Radiol 2015;12:756-759
US Academic Radiology
Departments
• In 2014 only 15/183 academic radiology
departments had @twitter accounts
• Only 10 (5.5%) had ≥ 1 post in the prior 3
months
©2016 MFMER | slide-39
Our patients are
using social media to
inform their
healthcare decisions;
we need to meet
them there to
become their trusted
source of
information.
©2016 MFMER | slide-40
©2016 MFMER | slide-41
©2016 MFMER | slide-42
©2016 MFMER | slide-43
©2016 MFMER | slide-44
@YourNameHere
©2016 MFMER | slide-45

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Technology Disrupters: Impact of Social Media on Neuroradiology

  • 1. ©2016 MFMER | slide-1 Technology Disrupters: The Impact of Social Media Look to the Future SAM Session Amy L. Kotsenas, MD @AmyKotsenas American Society of Neuroradiology 54th Annual Meeting Washington, DC May 23, 2016
  • 2. ©2016 MFMER | slide-2 No financial disclosures You are welcome to share my content on social media
  • 3. ©2016 MFMER | slide-3
  • 4. ©2016 MFMER | slide-4
  • 5. ©2016 MFMER | slide-5
  • 6. ©2016 MFMER | slide-6
  • 7. ©2016 MFMER | slide-7
  • 8. ©2016 MFMER | slide-8
  • 9. ©2016 MFMER | slide-9
  • 10. ©2016 MFMER | slide-10 How is Social Media Impacting Healthcare? Some statistics...
  • 11. ©2016 MFMER | slide-11 >40% of consumers say that information found on social media affects the way they deal with their health. (source: Mediabistro) YouTube traffic to hospital sites has increased 119% year-over-year. (source: Google’s Think Insights) The Mayo Clinic’s podcast listeners rose by 76,000 after the clinic started using social media. (source: Infographics Archive)
  • 12. ©2016 MFMER | slide-12 If a personal trainer, health insurance company or government organization makes a post about health, only 30 to 40 percent of people will trust the post. (source: Infographics Archive) 90% of respondents aged 18 to 24 say they would trust medical information shared by others on their social media networks. (source: Search Engine Watch) 41% of people said social media would affect their choice of a specific doctor, hospital, or medical facility. (source: Demi & Cooper Advertising and DC Interactive Group)
  • 13. ©2016 MFMER | slide-13 Social media posts and activity by doctors are trusted by over 60% - more than those of any other group. (source: Infographics Archive) Patients trust us. Building a positive online relationship with our patients can build positive offline relationships
  • 14. ©2016 MFMER | slide-14 Patient engagement: Focus on Satisfaction and Education
  • 15. ©2016 MFMER | slide-15 Patient Satisfaction • Increasingly tied to reimbursement • Higher co-pays and deductibles •  increased expectation for high level of service
  • 16. ©2016 MFMER | slide-16 Ratings Websites • Traditional surveys – Press-Ganey, HCAHPS – provide limited information • Only 6% of patients aware of HospitalCompare • 65% aware of online physician ratings sites • Social media allows expression of opinions in free-text form
  • 17. ©2016 MFMER | slide-17 Social-media driven modification of radiology practices could improve quality and safety, reduce medicolegal risk, improve outcomes, and increase revenue.
  • 18. ©2016 MFMER | slide-18
  • 19. ©2016 MFMER | slide-19 Ratings Websites • Doshi et al JACR 2016 • Yelp reviews • 126 imaging centers in 46 cities • 1009 reviews, 2582 individual comments • Average rating was 3.43  1.14 (range 1-5) • Average restaurant rating is 3.8 • An increase of ½ star increases reservations by 20%, revenue by 10%* *Luca Harvard Business School Working Paper, No. 12-016, September 2011.
  • 20. ©2016 MFMER | slide-20 Ratings Websites • Service Quality - 86%: • Professionalism of staff: technologists, schedulers, receptionists, billers • Office wait times • Physical conditions • Radiologist related - 14% • Report content related - 3.4% Doshi J Am Coll Radiol 2016;13:210-216 SAM Alert
  • 21. ©2016 MFMER | slide-21 Reviews “the technologist made fun of me for asking questions—he actually laughed at me. They were so rude it made me uncomfortable, I actually left and got my MRI elsewhere.” Doshi J Am Coll Radiol 2016;13:210-216 “[the technologist] took the time to explain each step carefully and I never felt as though I didn’t know what was happening next. Just outstanding care.” OR
  • 22. ©2016 MFMER | slide-22 Reviews Unfortunately the neurologist I was assigned to [redacted] was arrogant and pedantic. The one positive was I was confident that whoever read my MRI was first rate and eliminated the possibility that I had a tumor.
  • 23. ©2016 MFMER | slide-23 Reviews ..after reading everything the Radiologist asked to speak with me. She went over all my films and I left with a letter she signed saying there were no problems.
  • 24. ©2016 MFMER | slide-24 Ratings Websites • Patients expect high quality image acquisition and interpretation from all imaging centers • Differentiator of imaging centers is related to service quality • Goal: Overall positive patient experience Doshi J Am Coll Radiol 2016;13:210-216
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  • 26. ©2016 MFMER | slide-26 Patient Education
  • 27. ©2016 MFMER | slide-27 CT Radiation Risk on @twitter • Prabhu and Rosenkrantz • Analyzed 621 posts by 557 unique twitter users • Most are not healthcare personnel • 90 physicians; only 17 radiologists (3%) • Most posts were unfavorable Prabhu AJR 2015;204(1):W48-51SAM Alert
  • 28. ©2016 MFMER | slide-28 CT Radiation Risk on @twitter • Prabhu and Rosenkrantz • Links to 99 articles • Only 13 were peer-reviewed medical sources Prabhu AJR 2015;204(1):W48-51
  • 29. ©2016 MFMER | slide-29 CT Radiation Risk on Goenka ARRS 2016 • Goenka et al • YouTube search using phrase “CT Radiation” • 53 videos generated 93,254 total views • Half (53%) intended for lay audience • 87% were > 2- years old
  • 30. ©2016 MFMER | slide-30 CT Radiation Risk on • Goenka et al • Majority of YouTube videos on CT radiation: • Uploaded by non-radiology sources (57%) • Misleading, unfavorable towards CT radiation • Yet, these videos are viewed as often as videos by radiology sources Goenka ARRS 2016
  • 31. ©2016 MFMER | slide-31 CT Radiation Risk on Compared to all other sources, videos by radiology sources were: • More likely to be accurate (96% versus 57%, P=0.001) • Present a favorable or neutral position toward CT radiation (91% versus 53%, P=0.003) • Focus on risk-benefit analysis of CT radiation (70%) Goenka ARRS 2016
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  • 37. ©2016 MFMER | slide-37 Antheunis Patient Education and Counseling 2013:92(3);426–431 Health Related Use of Social Media Healthcare ProfessionalsPatients
  • 38. ©2016 MFMER | slide-38 Fig 1 Prabhu J Am Coll Radiol 2015;12:756-759 US Academic Radiology Departments • In 2014 only 15/183 academic radiology departments had @twitter accounts • Only 10 (5.5%) had ≥ 1 post in the prior 3 months
  • 39. ©2016 MFMER | slide-39 Our patients are using social media to inform their healthcare decisions; we need to meet them there to become their trusted source of information.
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  • 44. ©2016 MFMER | slide-44 @YourNameHere
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