The Use of Smartphone in Medical Practice

Nada Pop-Jordanova 1 , Mario Loleski 2 ,  and Sofija Loleska 3
  • 1 Macedonian Academy of Sciences and Arts, , Skopje
  • 2
  • 3 DFLab, , Skopje


In this review we present some data about the use of mobile phones in medical practice. The results of over hundred studies cited in PubMed during the last few years have been discussed. The article gives background connected with a project in the Macedonian Academy of Sciences and Arts referring to a personal mobile phone application named “Neurogame” which is currently constructed to evaluate motor skills related to attention and concentration in different samples of people.

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  • 1. Aronoff-Spencer E, Venkatesh AG, Sun A, Brickner H, Looney D, Hall DA. Detection of Hepatitis C core antibody by dual-affinity yeast chimera and smartphone-based electrochemical sensing. Biosens Bioelectron. 2016 Dec 15;86:690-6. doi: 10.1016/j.bios.2016.07.023. Epub 2016 Jul 9.

  • 2. Berrouiguet S, Baca-García E, Brandt S, Walter M, Courtet P. Fundamentals for Future Mobile-Health (mHealth): A Systematic Review of Mobile Phone and Web-Based Text Messaging in Mental Health. J Med Internet Res. 2016 Jun 10;18(6):e135. doi: 10.2196/jmir.5066.

  • 3. Bonoto BC, de Araújo VE, Godói IP, de Lemos LL, Godman B, Bennie M, Diniz LM, Junior AA. Efficacy of Mobile Apps to Support the Care of Patients With Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. JMIR Mhealth Uhealth. 2017 Mar 1;5(3):e4. doi: 10.2196/mhealth.6309.

  • 4. Brooks MJ, Bear T, Hacker K, Ricci EM, Foulds A, Anderson H, Raible C, Miller E. An Alternative Technique for Youth Risk Surveillance Outside of the School System. J Adolesc Health. 2017 Jan;60(1):72-78. doi: 10.1016/j.jadohealth.2016.08.014. Epub 2016 Oct 25.

  • 5. Cheng Q, Juen J, Bellam S, Fulara N, Close D, Silverstein JC, Schatz B. Classification Models for Pulmonary Function using Motion Analysis from Phone Sensors. AMIA Annu Symp Proc. 2017 Feb 10;2016:401-410. eCollection 2016.

  • 6. Consolaro A, Morgan EM, Giancane G, Rosina S, Lanni S, Ravelli A. Information technology in paediatric rheumatology. Clin Exp Rheumatol. 2016 Sep-Oct;34(5 Suppl 101):S11-S16. Epub 2016 Oct 18.

  • 7. Catarinella FS, Bos WH. Digital health assessment in rheumatology: current and future possibilities. Clin Exp Rheumatol. 2016 Sep-Oct;34(5 Suppl 101):S2-S4. Epub 2016 Oct 18.

  • 8. Carter B, Rees P, Hale L, Bhattacharjee D, Paradkar MS. Association Between Portable Screen-Based Media Device Access or Use and Sleep Outcomes: A Systematic Review and Meta-analysis. JAMA Pediatr. 2016 Dec 1;170(12):1202-1208. doi: 10.1001/jamapediatrics.2016.2341.

  • 9. Chomiak T, Watts A, Meyer N, Pereira FV, Hu B. A training approach to improve stepping automaticity while dual-tasking in Parkinson’s disease: A prospective pilot study. Medicine (Baltimore). 2017 Feb;96(5):e5934. doi: 10.1097/MD.0000000000005934.

  • 10. Dang S, Karanam C, Gómez-Marín O. Outcomes of a Mobile Phone Intervention for Heart Failure in a Minority County Hospital Population. Telemed J E Health. 2017 Jan 4. doi: 10.1089/tmj.2016.0211. [Epub ahead of print]

  • 11. De D, Mukherjee A, Sau A, Bhakta I.Design of smart neonatal health monitoring system using SMCC. Healthc Technol Lett. 2016 Nov 2;4(1):13-19. doi: 10.1049/htl.2016.0054. eCollection 2017.

  • 12. den Hollander D, Mars M. Smart phones make smart referrals: The use of mobile phone technology in burn care - A retrospective case series. Burns. 2017 Feb;43(1):190-194. doi: 10.1016/j.burns.2016.07.015. Epub 2016 Aug 27.

  • 13. Dumuid D, Olds TS, Lewis LK, Maher C. Does home equipment contribute to socioeconomic gradients in Australian children’s physical activity, sedentary time and screen time? BMC Public Health. 2016 Aug 5;16:736. doi: 10.1186/s12889-016-3419-9.

  • 14. Haghi M, Thurow K, Stoll R.Wearable Devices in Medical Internet of Things: Scientific Research and Commercially Available Devices. Healthc Inform Res. 2017 Jan;23(1):4-15. doi: 10.4258/hir.2017.23.1.4. Epub 2017 Jan 31.

  • 15. Hung S, Li MS, Chen YL, Chiang JH, Chen YY, Hung GC. Smartphone-based ecological momentary assessment for Chinese patients with depression: An exploratory study in Taiwan. Asian J Psychiatr. 2016 Oct;23:131-136. doi: 10.1016/j.ajp.2016.08.003. Epub 2016 Aug 8.

  • 16. John ME, Samson-Akpan PE, Etowa JB, Akpabio II, John EE. Enhancing self-care, adjustment and engagement through mobile phones in youth with HIV. Int Nurs Rev. 2016 Dec;63(4):555-561. doi: 10.1111/inr.12313. Epub 2016 Sep 21.

  • 17. Kolla BP, Mansukhani S, Mansukhani MP. Consumer sleep tracking devices: a review of mechanisms, validity and utility. Expert Rev Med Devices. 2016 May;13(5):497-506. doi: 10.1586/17434440.2016.1171708. Epub 2016 Apr 18.

  • 18. Kukolja Taradi S, Taradi M. Making physiology learning memorable: a mobile phone-assisted case-based instructional strategy. Adv Physiol Educ. 2016 Sep;40(3):383-7. doi: 10.1152/advan.00187.2015.

  • 19. Larsen ME, Nicholas J, Christensen H. A Systematic Assessment of Smartphone Tools for Suicide Prevention. PLoS One. 2016 Apr 13;11(4):e0152285. doi: 10.1371/journal.pone.0152285. eCollection 2016.

  • 20. Mittal S. Smartphone-Based Electrocardiographic and Cardiac Implantable Electronic Device Monitoring. Cardiol Rev. 2017 Jan/Feb;25(1):12-16.

  • 21. Montag C, Duke E, Markowetz A. Toward Psychoinformatics: Computer Science Meets Psychology. Comput Math Methods Med. 2016; 2016: 2983685.

  • 22. Mohr DC, Tomasino KN, Lattie EG, Palac HL, Kwasny MJ, Weingardt K, Karr CJ, Kaiser SM, Rossom RC, Bardsley LR, Caccamo L, Stiles-Shields C, Schueller SM. IntelliCare: An Eclectic, Skills-Based App Suite for the Treatment of Depression and Anxiety. J Med Internet Res. 2017 Jan 5;19(1):e10. doi: 10.2196/jmir.6645.

  • 23. Mummah SA, Mathur M, King AC, Gardner CD, Sutton S. Mobile Technology for Vegetable Consumption: A Randomized Controlled Pilot Study in Overweight Adults. JMIR Mhealth Uhealth. 2016 May 18;4(2):e51. doi: 10.2196/mhealth.5146.

  • 24. Peacock E, Krousel-Wood M. Adherence to Antihypertensive Therapy. Med Clin North Am. 2017 Jan;101(1):229-245. doi: 10.1016/j.mcna.2016.08.005.

  • 25. Pop-Jordanova, Мобилните телефони и здравјето, Образовни рефлекси, 2006; 3: 76-78

  • 26. Pop-Jordanov J., Pop-Jordanova N. Mobile phones, E E G and Mental Activity, WebmedCentral BRAIN [electronic source], published on: 30.01.2011, article (URL):

  • 27. Article_WMC001370.pdf, 2011; 2 (1): WMC001493 (1-7)

  • 28. Pop-Jordanova N., Pop-Jordanova S. Health symptoms caused by electromagnetic radiation, Physioacta, 2012; 6 (2): 33-45

  • 29. Pop-Jordanova N., Loleska S. Hypersensitive reactions in humans due to electromagn etic radiation, Book of digests: 5th Symposium on Applied Electromagnetics - SAEM’2014, Skopje, Macedonia, June 8-11, 2014, eds. L. Petkovska, G. Cvetkovski, Faculty of Electrical Engineering and Information Technologies, Skopje, 2014: 1-2

  • 30. Pop-Jordanova N., Loleska S. Some negative effects of mobile phone’s use, International Journal of Scientific Engineering and Applied Science (IJSEAS), 2015; 2 (6): 2395-3470

  • 31. Radovic A, Vona PL, Santostefano AM, Ciaravino S, Miller E, Stein BD. Smartphone Applications for Mental Health. Cyberpsychol Behav Soc Netw. 2016 Jul;19(7):465-70. doi: 10.1089/cyber.2015.0619.

  • 32. Richardson JE, Lee JI, Nirenberg A, Reid MC. The Potential Role for Smartphones Among Older Adults with Chronic Noncancer Pain: A Qualitative Study. Pain Med. 2017 Jan 20. pii: pnw284. doi: 10.1093/pm/pnw284. [Epub ahead of print]

  • 33. Swendeman D, Farmer S, Mindry D, Lee SJ, Medich M. HIV Care Providers’ Attitudes regarding Mobile Phone Applications and Web-Based Dashboards to support Patient Self-Management and Care Coordination: Results from a Qualitative Feasibility Study. J HIV AIDS. 2016 Oct;2(4). doi: 10.16966/2380-5536.127. Epub 2016 Jun 21.

  • 34. Shibuta T, Waki K, Tomizawa N, Igarashi A, Yamamoto-Mitani N, Yamaguchi S, Fujita H, Kimura S, Fujiu K, Waki H, Izumida Y, Sasako T, Kobayashi M, Suzuki R, Yamauchi T, Kadowaki T, Ohe K. Willingness of patients with diabetes to use an ICT-based self-management tool: a cross-sectional study. BMJ Open Diabetes Res Care. 2017 Feb 7;5(1):e000322. doi: 10.1136/bmjdrc-2016-000322. eCollection 2017.

  • 35. Tay I, Garland S, Gorelik A, Wark JD.Development and Testing of a Mobile Phone App for Self-Monitoring of Calcium Intake in Young Women. JMIR Mhealth Uhealth. 2017 Mar 7;5(3):e27. doi: 10.2196/mhealth.5717.

  • 36. Triantafyllidis AK, Koutkias VG, Chouvarda I, Adami I, Kouroubali A, Maglaveras N. Framework of sensor-based monitoring for pervasive patient care. Healthc Technol Lett. 2016 Aug 12;3(3):153-158. eCollection 2016.


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