1. Impacts of Mobile
Devices in Medical
Environment
Lucas Machado
http://machadolucas.me

2. Modern touch devices
•
Smartphones
•
Tablets
•
Mobile devices of
nowadays

3. Medical environment
•
Patient records
•
Wide use of paper
•
Health monitoring devices
•
Medicine students
•
Health information for
patients

4. Use of devices in medical
environment
Traditional medicine

5. Use of devices in medical
environment
Medicine nowadays

6. Use of devices in medical
environment
Manipulation
of data and
visualizations
Less use of
paper
Training of
medicine
students
Information about
health
!
Intelligent sensors
appliances
Medicine nowadays

7. Use of devices in medical
environment
[2, 4, 9]
Data is digital
and reliable
Manipulation
of data and
visualizations
Minering and
interactive
visualizations
Less use of
paper
[3, 10]
Training of
medicine
students
[5, 9]
Information about
health
!
Intelligent sensors
appliances
[1, 6, 7, 8, 11, 12, 13]
Apps
Health monitoring
E-learning
Medicine nowadays

8. Symptomia App
[13]

9. Sensors
•
Heart Rate [6]
•
Parkinson’s [8]

10. OsiriX App
[2]

11. [11]
Post-stroke rehabilitation

12. Users studied
•
Doctors
!
•
Patients

13. Research questions that
were asked
•
How can mobile devices help in medical environment?
[1,
8, 12, 13]
•
Is the device accurate to capture and measure health
signals? [6, 7]
•
Can iPad help in poststroke hand rehabilitation? [11]
•
Does mobile devices help students in learning about
medicine?[3, 10]
•
How tablets changed doctors interaction with electronic
health records?[2, 4, 5, 9]

14. Research methods that were
applied
•
Testing of devices and accessories, and
comparison with traditional health monitoring
methods
•
Testing apps, devices and accessories use with
users
•
Interviews and questionaries
•
Analysis of other studies

15. Main research results
•
Handheld devices will become an essential medical
tool. [4]
•
Use of devices and technology improves the data
visualization by patients and doctors.
•
Devices are sufficiently accurate to be health
monitors.
•
Apps can bring knowledge to patients and students.
•
Further studies are necessary

16. Results variation in studies
•
All studies with similar theme results converged:
Touch/mobile devices are very good as
appliances to medical environment
•
Handheld devices will become an essential
medical tool [4]: Time gap of the study (2003)
•
Security and privacy issues with patients data[2]

17. Bibliography
[1] S. Chemlal, S. Colberg, M. Satin-Smith,
E. Gyuricsko, T. Hubbard, M.W. Scerbo, ja
F.D. McKenzie. Blood glucose
individualized prediction for type 2 diabetes
using iphone application. Kirjassa
Bioengineering Conference (NEBEC), 2011
IEEE 37th Annual Northeast, ss. 1–2, 2011.!
[2] AsimF. Choudhri ja MartinG. Radvany.
Initial experience with a handheld device
digital imaging and communications in
medicine viewer: Osirix mobile on the
iphone. Journal of Digital Imaging, 24(2):
184–189, 2011.!
[3] Sally A. Coovert, Adam Ducey, Mark
Grichanik, Michael D. Coovert, ja Robert
Nelson. Hey doc, is that your stethoscope?:
Increasing engagement in medical
education and training with ipads. Kirjassa
Proceedings of the ACM 2012 Conference
on Computer Supported Cooperative Work
Companion, sarjassa CSCW ’12, CSCW
’12, ss. 71–74, New York, NY, USA, 2012.
ACM.!
[4] Sandra Fischer, Thomas E Stewart,
Sangeeta Mehta, Randy Wax, ja Stephen E
Lapinsky. Handheld computing in medicine.
Journal of the American Medical Informatics
Association, 10(2):139–149, 2003.!
[5] Brian T. Horowitz. Chen medical prints
health records from ipad, android tablets.
eWeek, s. 1, 2013.!
[6] Sungjun Kwon, Jeongsu Lee, Gih Sung
Chung, ja Kwang-Suk Park. Validation of
heart rate ex- traction through an iphone
accelerometer. Kirjassa Engineering in
Medicine and Biology Society,EMBC, 2011
Annual International Conference of the
IEEE, ss. 5260–5263, 2011.!
[7] Jinseok Lee, B.A. Reyes, D.D.
McManus, O. Mathias, ja K.H. Chon. Atrial
fibrillation detection using an iphone 4s.
Biomedical Engineering, IEEE Transactions
on, 60(1):203–206, 2013.!
[8] R. LeMoyne, T. Mastroianni, M. Cozza,
C. Coroian, ja W. Grundfest.
Implementation of an iphone for
characterizing parkinson’s disease tremor
through a wireless accelerometer
application. Kirjassa Engineering in
Medicine and Biology Society (EMBC),
2010 Annual International Conference of
the IEEE, ss. 4954–4958, 2010.!
[9] Allan C. Lin, Meng-Hsiu Chang, Mike Y.
Chen, Travis Yu, Lih-ching Chou, Dian-Je
Tsai, ja Jackey Wang. Mobility patterns of
doctors using electronic health records on
ipads. Kirjassa Proceedings of the
International Conference on Bioinformatics,
Computational Biology and Biomedical
Informatics, sarjassa BCB’13, BCB’13, ss.
933:933–933:939, New York, NY, USA,
2007. ACM.!
[10] F. Pinciroli, M. Corso, A. Fuggetta, M.
Masseroli, S. Bonacina, ja S. Marceglia.
Telemedicine and e-health. Pulse, IEEE,
2(3):62–70, 2011.!
[11] D Rand, T Schejter-Margalit, I
Dudkiewicz, R Kizony, G Zeilig, ja R Kizony.
The use of the ipad for poststroke hand
rehabilitation; a pilot study. Kirjassa Virtual
Rehabilitation (ICVR), 2013 International
Conference on, ss. 109–113, 2013.!
[12] A.J. Saldarriaga, J.J. Perez, J.
Restrepo, ja J. Bustamante. A mobile
application for ambulatory
electrocardiographic monitoring in clinical
and domestic environments. Kirjassa
Health Care Exchanges (PAHCE), 2013
Pan American, ss. 1–4, 2013.!
[13] Helen Sullivan. Symptomia app.
Nursing Standard, 28(11):31, 2013.

18. Thank you!
Questions?