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Radiology, Mobile Devices, and Internet of Things (IoT)

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Abstract

Radiology by its nature is intricately connected to the Internet and is at the forefront of technology in medicine. The past few years have seen a dramatic rise in Internet-based technology in healthcare, with imaging as a core application. Numerous Internet-based applications and technologies have made forays into medicine, and for radiology it is more seamless than in other clinical specialties. Many applications in the practice of radiology are Internet based and more applications are being added every day. Introduction of mobile devices and their integration into imaging workflow has reinforced the role played by the Internet in radiology. Due to the rapid proliferation of wearable devices and smartphones, IoT-enabled technology is evolving healthcare from conventional hub-based systems to more personalized healthcare systems. This article briefly discusses how the IoT plays a useful role in daily imaging workflow and current and potential future applications, how mobile devices can be integrated into radiology workflows, and the impact of the IoT on resident and medical student education, research, and patient engagement in radiology.

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References

  1. Meinert E, Van Velthoven M, Brindley D, Alturkistani A, Foley K, Rees S, Wells G, de Pennington N: The Internet of Things in Health Care in Oxford: Protocol for Proof-of-Concept Projects. JMIR Res Protoc 7(12):e12077, 2018. https://doi.org/10.2196/12077

    Article  PubMed  PubMed Central  Google Scholar 

  2. Michalakis K, Caridakis G: IoT Contextual Factors on Healthcare. Adv Exp Med Biol 989:189–200, 2017. https://doi.org/10.1007/978-3-319-57348-9_16

    Article  PubMed  Google Scholar 

  3. Mendelson DS, Rubin DL: Imaging informatics: essential tools for the delivery of imaging services. Acad Radiol 20:1195–1212, 2013. https://doi.org/10.1016/2Fj.acra.2013.07.006

    Article  PubMed  PubMed Central  Google Scholar 

  4. European Society of Radiology (ESR): ESR paper on the proper use of mobile devices in radiology. Insights Imaging 9(2):247–251, 2018. https://doi.org/10.1007/s13244-017-0589-7

    Article  Google Scholar 

  5. Gupta S, Doyle S, Schultz TJ, Choy G, Dreyer KJ: Enhancing utilization of mobile imaging: Assessing variation in diagnostic accuracy of iPad with the nature of radiological findings on chest radiographs. Radiological Society of North America 2012 Scientific Assembly and Annual Meeting; November 27–December 2, 2012 Chicago IL. rsna2012.rsna.org/search/event_display.cfm?em_id=12035865. Accessed February 19, 2013. 47

  6. Gupta S, Gupta S, Doyle S, Schultz T, Dreyer K: Expanding Mobile Radiology: Using iPad for RealTime Communication Between Radiologists and Referring Physicians. Radiological Society of North America 2012 Scientific Assembly and Annual Meeting, November 25–November 30, 2012 ,Chicago IL. http://archive.rsna.org/2012/12035865.html. Accessed March 24, 2017. 48

  7. https://www.fda.gov/medicaldevices/digitalhealth/mobilemedicalapplications/default.htm. Accessed 22 April 2019

  8. Gupta S, Doyle S, Sehnert W, Burns J, Schultz T, Dreyer K: Bridging the Gap: Using iPad for Instant Transfer of Images from ICU to Intensivists and Radiologists. Radiological Society of North America 2011 Scientific Assembly and Annual Meeting, November 26–December 2, 2011, Chicago IL. http://archive.rsna.org/2011/11007032.html. Accessed March 24, 2017. 30.

  9. Greco G, Patel AS, Lewis SC, Shi W, Rasul R, Torosyan M, Erickson BJ, Hiremath A, Moskowitz AJ, Tellis WM, Siegel EL, Arenson RL, Mendelson DS: Patient-directed Internet-based Medical Image Exchange: Experience from an Initial Multicenter Implementation. Acad Radiol 23(2):237–244, 2016. https://doi.org/10.1016/j.acra.2015.10.012

    Article  PubMed  Google Scholar 

  10. Gupta S, Doyle S, Viswanathan A, Vemula P, Schultz TJ, Dreyer KJ: Are We Fast Enough? iPhone Image Visualization for Acute Telestroke Cases. Radiological Society of North America 2010 Scientific Assembly and Annual Meeting; November 28–December 3, 2010 Chicago IL. rsna2010.rsna.org/search/event_display.cfm?em_id=9014277&printmode=Y&autoprint=N. Accessed August 25, 2011. Program in brief. 2010 Nov; 96(1): 277

  11. Gupta S, Doyle S, Gupta S, Schultz T, Singh A, Dreyer K: Dealing with the Mobile Imaging Ordeal: Assessing Image Quality on iPhone vs iPad for Diagnosing CT Head Cases. Radiological Society of North America 2011 Scientific Assembly and Annual Meeting, November 26–December 2, 2011, Chicago IL. http://archive.rsna.org/2011/11005899.html. Accessed March 24, 2017

  12. Gupta S, Doyle S, Schultz T, Choy G, Singh A, Dreyer K: First among Equals: Comparison of Image Quality between iPad and PACS Workstation for Detecting Pneumothorax on Chest Radiographs. Radiological Society of North America 2011 Scientific Assembly and Annu al Meeting, November 26–December 2, 2011, Chicago IL. http://archive.rsna.org/2011/11007239.html. Accessed March 24, 2017. 29

  13. Gupta S, Choy G, Doyle S, Sharma A, Digumarthy SR, Dreyer KJ: Survival of the Fittest: PACS versus iPhone for CT Chest images. Radiological Society of North America 2010 Scientific Assembly and Annual Meeting; November 28–December 3, 2010 Chicago IL. rsna2010.rsna.org/search/event_display.cfm?em_id=9008440&printmode=Y&autoprint=N. Accessed August 25, 2011.Program in brief. 2010 Nov; 96(1): 278.

  14. Demaerschalk BM, Vargas JE, Channer DD, Noble BN, Kiernan TE, Gleason EA, Vargas BB, Ingall TJ, Aguilar MI, Dodick DW, Bobrow BJ: Smartphone teleradiology application is successfully incorporated into a telestroke network environment. Stroke 43:3098–3101, 2012. https://doi.org/10.1161/STROKEAHA.112.669325

    Article  PubMed  Google Scholar 

  15. Bolan C: Cloud PACS and mobile apps reinvent radiology workflow. Appl Radiol 42(6):24–29, 2013

    Google Scholar 

  16. Lee CI, Gupta S, Sherry SJ, Chiunda A, Olson E, Chokshi FH, Mankowski-Gettle L, Mendiratta-Lala M, Lee YZ, Moser FG, Duszak, Jr R: Translating New Imaging Technologies to Clinical Practice. Acad Radiol 25(1):3–8, 2018. https://doi.org/10.1016/j.acra.2017.03.027 Review

    Article  PubMed  Google Scholar 

  17. Rodrigues MA, Visvanathan A, Murchison JT, Brady RR: Radiology smartphone applications; current provisions and cautions. Insights Imaging 4:555–562, 2013. https://doi.org/10.1007/s13244-013-0274-4

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Gupta S, Doyle S, Walters M, Schultz TJ, Dreyer KJ, Thrall JH. Radiology Order Entry at Your Fingertips (iROE): Convenience versus Compromise. Radiological Society of North America 2010 Scientific Assembly and Annual Meeting; November 28–December 3, 2010 Chicago IL. rsna2010.rsna.org/search/event_display.cfm?em_id=9009745&printmode=Y&autoprint=N. Accessed August 25, 2011.Program in brief. 2010 Nov; 96(1): 555.

  19. Szekely A, Talanow R, Bagyi P: Smartphones, tablets and mobile applications for radiology. Eur J Radiol 82(5):829–836, 2013 https://doi-org.ezproxy.hsc.usf.edu/10.1016/j.ejrad.2012.11.034

    Article  Google Scholar 

  20. Gupta S, Thomson N, Rawson J: Mine Your Data ! - Enhancing Pretest Probability of Imaging through Incorporation of Data Mining Tools in Clinical Workflow. Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, November 30–December 5, 2014, Chicago IL. rsna2014.rsna.org/program/details/?emID=14015791. Accessed April 3, 2017.

  21. Al-Hasani H et al.: Smartphone applications for the radiologist. Open J Radiol 3:231–237, 2013. https://doi.org/10.4236/ojrad.2013.34037

    Article  Google Scholar 

  22. Wojtczak J, Bonadonna P: Pocket mobile smartphone system for the point-of-care submandibular ultrasonography. Am J Emerg Med 31(3):573–577, 2013 https://doi.org/10.1016/j.ajem.2012.09.013

    Article  Google Scholar 

  23. American College of Radiology. Radiology Support, Communication, and Alignment Network (R-SCAN). Available at: http://www.acr.org/Advocacy/Economics-Health-Policy/Imaging-3/PQI-Initiative. Accessed 31 Dec 2018

  24. Royal College of Radiology. Available at https://www.irefer.org.uk/. Accessed 1 Jan 2019

  25. MagicRad. Available at http://www.magicrad.com/. Accessed 1 Jan 2019

  26. Tidal Pool Software. Available at http://www.tidalpool.ca/radiationpassport/. Accessed 1 Jan 2019

  27. Kovacs MD, Burchett PF, Sheafor DH: App review: management guide for incidental findings on CT and MRI. J Digit Imaging 31(2):154–158, 2018. https://doi.org/10.1007/s10278-017-0035-x

    Article  PubMed  Google Scholar 

  28. RADIOLOGiQ. Available at https://www.radiologiq.com/. Accessed 11 Feb 2019

  29. Shin J: NSF vs. CIN: aggregated screening, safety, and protocol tools for contrast imaging in the setting of renal insufficiency. J Digit Imaging 30(2):141–143, 2017. https://doi.org/10.1007/s10278-016-9918-5

    Article  PubMed  Google Scholar 

  30. Berkowitz SJ, Kung JW, Eisenberg RL, Donohoe K, Tsai LL, Slanetz PJ: Resident iPad Use: Has It Really Changed the Game? J Am Coll Radiol 11(2):180–184, 2014 Elsevier [cited 2019 Jan 1]. Available from: https://www.sciencedirect.com/science/article/pii/S1546144013002718

    Article  Google Scholar 

  31. Lewis TL, Aungst TD, Hutchinson C: Radiology education, mobile technology and medical apps. BMJ Simul Technol Enhanc Learn 1(2):45–48, 2015. BMJ Specialist Journals [cited 2019 Jan 1]. Available from: http://stel.bmj.com/lookup/doi/10.1136/bmjstel-2014-000009

    Article  Google Scholar 

  32. Bhargava P, Lackey AE, Dhand S, Moshiri M, Jambhekar K, Pandey T: Radiology Education 2.0—On the Cusp of Change: Part 1. Tablet Computers, Online Curriculums, Remote Meeting Tools and Audience Response Systems. Acad Radiol 20(3):364–372, 2013. Elsevier [cited 2019 Jan 1]. Available from: https://www.sciencedirect.com/science/article/pii/S1076633212005545

    Article  Google Scholar 

  33. Masters K, Ellaway RH, Topps D, Archibald D, Hogue RJ: Mobile technologies in medical education: AMEE Guide No. 105. Med Teach 38(6):537–549, 2016. Taylor & Francis [cited 2019 Jan 1]. Available from: http://www.tandfonline.com/doi/full/10.3109/0142159X.2016.1141190

  34. Sharpe EE, Kendrick M, Strickland C, Dodd GD: The Radiology Resident iPad Toolbox: An Educational and Clinical Tool for Radiology Residents. J Am Coll Radiol 10(7):527–532, 2013. Elsevier [cited 2019 Jan 1]. Available from: https://www.sciencedirect.com/science/article/pii/S1546144013000896

  35. Bedi HS, Yucel EK: “I Just Bought My Residents iPads… Now What?” The Integration of Mobile Devices Into Radiology Resident Education. Am J Roentgenol 201(4):704–709, 2013. American Roentgen Ray Society [cited 2019 Jan 1]. Available from: http://www.ajronline.org/doi/10.2214/AJR.13.10674

    Article  Google Scholar 

  36. Peacock JG, Grande JP: An online app platform enhances collaborative medical student group learning and classroom management. Med Teach 1–7, 2015. Informa UK Ltd. London [cited 2015 Mar 18]. Available from: http://informahealthcare.com/doi/full/10.3109/0142159X.2015.1020290

  37. Bhargava P, Dhand S, Lackey AE, Pandey T, Moshiri M, Jambhekar K: Radiology Education 2.0—On the Cusp of Change: Part 2. eBooks; File Sharing and Synchronization Tools; Websites/Teaching Files; Reference Management Tools and Note Taking Applications. Acad Radiol 20(3):373–381, 2013. Elsevier [cited 2019 Jan 1]. Available from: https://www.sciencedirect.com/science/article/pii/S1076633212005533

  38. Richardson ML, Petscavage JM, Hunter JC, Roberts CC, Martin TP: Running an Online Radiology Teaching Conference: Why It’s a Great Idea and How to Do It Successfully. Acad Radiol 19(6):746–751, 2012. Elsevier [cited 2019 Jan 1]. Available from: https://www.sciencedirect.com/science/article/pii/S1076633211006155

  39. Richardson ML: Audience Response Techniques for 21st Century Radiology Education. Acad Radiol 21(7):834–841, 2014. Elsevier [cited 2019 Jan 1]. Available from: https://www.sciencedirect.com/science/article/pii/S1076633213005886

    Article  Google Scholar 

  40. Reiner B, Siegel E: The Potential for Gaming Techniques in Radiology Education and Practice. J Am Coll Radiol 5(2):110–114, 2008. Elsevier [cited 2019 Jan 1]. Available from: https://www.sciencedirect.com/science/article/pii/S1546144007005340

  41. Ozutemiz C, Dicle O, Koremezli N: How Turkish radiology residents access information related to their profession in this social media and smartphone era. Eur J Radiol Open 2:129–133, 2015. Elsevier [cited 2019 Jan 1]. Available from: https://www.sciencedirect.com/science/article/pii/S2352047715300058

  42. https://www.imaios.com/en/QEVLAR-app-for-Core-Exam-prep. Accessed 22 April 2019

  43. Sandhu RS: Radiology Physics 300 App Review. J Digit Imaging 29(2):150–152, 2015. https://doi.org/10.1007/s10278-015-9858-5

    Article  PubMed Central  Google Scholar 

  44. https://download.cnet.com/Radiology-Core-Physics-Prem/3000-20414_4-77569381.html. Accessed 22 April 2019

  45. http://www.radiologyassistant.nl/. Accessed on April 22, 2019

  46. www.radiopaedia.org. Accessed 22 April 2019

  47. www.mskradiology4u.co.uk. Accessed 22 April 2019

  48. Apple: www.sonosite.com/education/sonoaccess-ultrasound-education-app. Accessed 22 April 2019

  49. www.irefer.org.uk. Accessed 22 April 2019

  50. Bedoya MA, Back SJ, Scanlon MH, Delgado J, Darge K, Reid JR: Learning, technology and intellectual property: a survey of the philosophies and preferences of our trainees and peers. Pediatr Radiol 46(13):1780–1786, 2016. Springer Berlin Heidelberg [cited 2019 Jan 1]. Available from: http://link.springer.com/10.1007/s00247-016-3682-z

  51. Gupta S, Kim, S, Uppot, R, Saini S, Dreyer K, Choy G: International Radiology Outreach: Implementation of Web-based Training Modules for Teaching Imaging Features of Various Emergency Medical Conditions. Radiological Society of North America 2011 Scientific Assembly and Annual Meeting, November 26–December 2, 2011, Chicago IL. http://archive.rsna.org/2011/11009894.html. Accessed March 24, 2017

  52. https://www.imagingrealm.com/. Accessed on 3/19/19.

  53. Ranginwala S, Towbin AJ: Use of Social Media in Radiology Education. J Am Coll Radiol 15(1):190–200, 2018. Elsevier [cited 2019 Jan 1]. Available from: https://www.sciencedirect.com/science/article/pii/S1546144017311250

  54. Ranschaert ER, van Ooijen PMA, Lee S, Ratib O, Parizel PM: Social media for radiologists: an introduction. Insights Imaging 6(6):741–752, 2015 . Springer Berlin Heidelberg [cited 2019 Jan 1]. Available from: http://link.springer.com/10.1007/s13244-015-0430-0

  55. Koontz NA, Hill D V, Dodson SC, et al: Electronic and Social Media-based Radiology Learning Initiative: Development, Implementation, Viewership Trends, and Assessment at 1 Year. Acad Radiol 25(6):687–698, 2018. Elsevier [cited 2019 Feb 2]. Available from: http://www.ncbi.nlm.nih.gov/pubmed/29751855

    Article  Google Scholar 

  56. Koontz NA, Kamer AP, Dodson SC, et al: Social Media Utilization at an Academic Radiology Practice. Acad Radiol 25(1):111–117, 2018. Elsevier [cited 2019 Feb 2]. Available from: http://www.ncbi.nlm.nih.gov/pubmed/29056400

  57. Thomas RB, Johnson PT, Fishman EK: Social Media for Global Education: Pearls and Pitfalls of Using Facebook, Twitter, and Instagram. J Am Coll Radiol 15(10):1513–1516, 2018 . Elsevier [cited 2019 Feb 2]. Available from: http://www.ncbi.nlm.nih.gov/pubmed/29615364

  58. Alexander AG, Deas D, Lyons PE: An Internet-Based Radiology Course in Medical School: Comparison of Academic Performance of Students on Campus Versus Those With Absenteeism Due to Residency Interviews. JMIR Med Educ 4(1):e14, 2018. JMIR Publications Inc. [cited 2019 Jan 1]. Available from: http://www.ncbi.nlm.nih.gov/pubmed/29776902

  59. Chorney ET, Lewis PJ: Integrating a Radiology Curriculum Into Clinical Clerkships Using Case Oriented Radiology Education. J Am Coll Radiol 8(1):58–64.e4, 2011. Elsevier [cited 2019 Jan 1]. Available from: https://www.sciencedirect.com/science/article/pii/S1546144010004680

  60. Navarro-Sanchis EL, Sendra-Portero F: Informatics in Radiology ( info RAD). RadioGraphics 25(1):257–262, 2005. Radiological Society of North America [cited 2019 Jan 1]. Available from: http://pubs.rsna.org/doi/10.1148/rg.251045057

    Article  Google Scholar 

  61. Njuguna N, Flanders AE, Kahn CE: Informatics in Radiology: Envisioning the Future of E-Learning in Radiology: An Introduction to SCORM. RadioGraphics 31(4):1173–1179, 2011. Radiological Society of North America [cited 2019 Jan 1]. Available from: http://pubs.rsna.org/doi/10.1148/rg.314105191

    Article  Google Scholar 

  62. Rowell MR, Corl FM, Johnson PT, Fishman EK: Internet-Based Dissemination of Educational Audiocasts: A Primer in Podcasting—How to Do It. Am J Roentgenol 186(6):1792–1796, 2006. American Roentgen Ray Society [cited 2019 Jan 1]. Available from: http://www.ajronline.org/doi/10.2214/AJR.05.1315

    Article  Google Scholar 

  63. Sparacia G, Cannizzaro F, D’Alessandro DM, D’Alessandro MP, Caruso G, Lagalla R: Initial Experiences in Radiology e-Learning. RadioGraphics 27(2):573–581, 2007. Radiological Society of North America [cited 2019 Jan 1]. Available from: http://pubs.rsna.org/doi/10.1148/rg.272065077

    Article  Google Scholar 

  64. www. pubmeddev. Home - PubMed - NCBI [Internet]. [cited 2019 Mar 20]. Available from: https://www.ncbi.nlm.nih.gov/pubmed/. Accessed 22 April 2019.

  65. Mickan S, Tilson JK, Atherton H et al.: Evidence of effectiveness of health care professionals using handheld computers; a scoping review of systematic reviews. J Med Internet Res 15(10):e212, 2013 [Google Scholar]

    Article  Google Scholar 

  66. Ozdalga E, Ozdalga A, Ahuja N: The Smartphone in Medicine: A Review of Current and Potential Use Among Physicians and Students. J Med Internet Res 14(5), 2012 [cited 2019 Mar 20]. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3510747/

  67. Yoo JH: The meaning of information technology (IT) mobile devices to me, the infectious disease physician. Infect Chemother 45(2):244–251, 2013 [Google Scholar]

    Article  Google Scholar 

  68. https://www.plos.org/open-access. Accessed on 3/26/19.

  69. https://creativecommons.org/licenses/by/4.0/. Accessed on 3/26/19.

  70. https://plos.github.io/ambraproject/. Accessed on 3/26/19.

  71. https://sparcopen.org/. Accessed on 3/26/19.

  72. https://www.opensocietyfoundations.org/. Accessed on 3/26/19.

  73. Gupta S, Rajiah P, Middlebrooks EH, Baruah D, Carter BW, Burton KR, Chatterjee AR, Miller MM: Systematic Review of the Literature: Best Practices. Acad Radiol 25(11):1481–1490, 2018. https://doi.org/10.1016/j.acra.2018.04.025

    Article  PubMed  Google Scholar 

  74. Mosa AS, Yoo I, Sheets L: A systematic review of health care apps for smartphones. BMC Med Inform Dec Mak 12:67, 2012 [Google Scholar]

    Article  Google Scholar 

  75. Wallace S, Clark M, White J: ‘It’s on my iPhone’: attitudes to the use of mobile computing devices in medical education, a mixed-methods study. BMJ Open 2:e001099, 2012 [Google Scholar]

    Article  Google Scholar 

  76. Chase J: IPads and other drugs. Medical Marketing & Media: The Interactive Guide. 10–11, 2013

  77. App Reviews - Society for Imaging Informatics in Medicine. SIIM.org. [cited 2019 Mar 20]. Available from: https://siim.org/page/jdi_app_reviewseries. Accessed 22 April 2019

  78. Home - ClinicalTrials.gov. [cited 2019 Mar 20]. Available from: https://clinicaltrials.gov/ct2/home. Accessed 22 April 2019

  79. https://www.mayo.edu/research/clinical-trials. Accessed 22 April 2019

  80. Donnelly LF, Larson DB, Iii REH, Kruskal JB: Practical Suggestions on How to Move From Peer Review to Peer Learning. Am J Roentgenol 210(3):578–582, 2018

    Article  Google Scholar 

  81. Radiologypartners | Press Release. Radiology Partners. [cited 2019 Mar 20]. Available from: https://www.radpartners.com/events/jixfz0p322/Radiology-Partners-Research-Institute-Productive-and-Growing

  82. Ahern DK, Woods SS, Lightowler MC, Finley SW, Houston TK: Promise of and Potential for Patient-Facing Technologies to Enable Meaningful Use. Am J Prev Med 40(5, Supplement 2):S162–S172, 2011. https://doi.org/10.1016/j.amepre.2011.01.005

    Article  PubMed  Google Scholar 

  83. Goldzweig CL, Orshansky G, Paige NM, Towfigh AA, Haggstrom DA, Miake-Lye I, Beroes JM, Shekelle PG: Electronic Patient Portals: Evidence on Health Outcomes, Satisfaction, Efficiency, and Attitudes: A Systematic Review. Ann Intern Med 159(10):677–687, 2013. https://doi.org/10.7326/0003-4819-159-10-201311190-00006

    Article  PubMed  Google Scholar 

  84. “Individuals’ Ability to Electronically Access Their Hospital Medical Records, Perform Key Tasks Is Growing.” 2017. TrendWatch, November

  85. Fraccaro P, Vigo M, Balatsoukas P, Buchan IE, Peek N, van der Veer SN: Patient Portal Adoption Rates: A Systematic Literature Review and Meta-Analysis. Stud Health Technol Inform 245:79–83, 2017

    Google Scholar 

  86. Graetz I, Gordon N, Fung V, Hamity C, Reed ME: The Digital Divide and Patient Portals: Internet Access Explained Differences in Patient Portal Use for Secure Messaging by Age, Race, and Income. Med Care 54(8):772–779, 2016. https://doi.org/10.1097/MLR.0000000000000560

    Article  Google Scholar 

  87. Mervak BM, Davenport MS, Flynt KA, Kazerooni EA, Weadock WJ: What the Patient Wants: An Analysis of Radiology-Related Inquiries From a Web-Based Patient Portal. J Am Coll Radiol 13:1311–1318, n.d. https://doi.org/10.1016/j.jacr.2016.05.022

    Article  Google Scholar 

  88. O’Connell TW, Patlas MN: Mobile Devices and Their Prospective Future Role in Emergency Radiology. Br J Radiol 89(1061), 2016. https://doi.org/10.1259/bjr.20150820

    Article  Google Scholar 

  89. Baumgarten AC, Rydberg MG, Bates JN, Teigland CM, Roy OP: Reducing the Incidence of Retained Double-J Ureteral Stents: A Multidisciplinary Approach. Urol Pract 3(5):325–331, 2016. https://doi.org/10.1016/j.urpr.2015.10.005

    Article  Google Scholar 

  90. Liu C, Benjamin Harvey H, Cristina J, Shore MT, Guerrier CE, Pianykh O: Text Message Reminders Reduce Outpatient Radiology No-Shows But Do Not Improve Arrival Punctuality. J Am Coll Radiol 14(8):1049–1054, 2017. https://doi.org/10.1016/j.jacr.2017.04.016

    Article  PubMed  Google Scholar 

  91. Park J, Kim T-O, Lee N-Y, Kim H, Seo EH, Heo N-Y, Park SH, Moon Y-S (2015) The Effectiveness of Short Message Service to Assure the Preparation-to-Colonoscopy Interval before Bowel Preparation for Colonoscopy. Gastroenterol Res Pract 2015

  92. Gu Y, Wang L, Zhao L, Liu Z, Luo H, Tao Q, Zhang R, He S, Wang X, Huang R, Zhang L, Pan Y, Guo X: Effect of Mobile Phone Reminder Messages on Adherence of Stent Removal or Exchange in Patients with Benign Pancreaticobiliary Diseases: A Prospectively Randomized, Controlled Study. BMC Gastroenterol 16(1):105, 2016. https://doi.org/10.1186/s12876-016-0522-4

    Article  PubMed  PubMed Central  Google Scholar 

  93. https://www.radiologybusiness.com/topics/technology-management/radiologist-creates-app-simplifies-how-we-talk-about-radiation. Accessed 22 April 2019

  94. https://www.radiologyinfo.org/. Accessed on 4/13/19.

  95. Carroll AE. That New Apple Watch EKG Feature? There Are More Downs Than Ups. 2018. The New York Times, October 8, 2018, sec. The Upshot. https://www.nytimes.com/2018/10/08/upshot/apple-watch-heart-monitor-ekg.html

  96. https://www.breastlight.com/. Accessed 6 April 2019

  97. Vinson DD: No more paper Tiger: Promise and Peril as HIPAA Goes HITECH. J Healthc Risk Manag 30(3):28–37, 2011. https://doi.org/10.1002/jhrm.20058

    Article  PubMed  Google Scholar 

  98. https://www.aapm.org/pubs/reports/detail.asp?docid=178 . Accessed 18 Nov 2019

  99. Choudhri AF, Chatterjee AR, Javan R, Radvany MG, Shih G: Security Issues for Mobile Medical Imaging: A Primer. Radiographics 35(6):1814–1824, 2015. https://doi.org/10.1148/rg.2015140039

    Article  PubMed  Google Scholar 

  100. Gerard P, Kapadia N, Acharya J, Chang PT, Lefkovitz Z: Cybersecurity in radiology: Access of public hot spots and public Wi-Fi and prevention of cybercrimes and HIPAA violations. AJR Am J Roentgenol 201(6):1186–1189, 2013. https://doi.org/10.2214/AJR.12.9651 Review

    Article  PubMed  Google Scholar 

  101. https://rad.washington.edu/blog/12-free-radiology-apps/. Accessed 6 April 2019

  102. Siddiqui A, Dreyer KJ, Gupta S: Meaningful use a call to arms. Acad Radiol 19(2):221–228, 2012. https://doi.org/10.1016/j.acra.2011.11.008

    Article  PubMed  Google Scholar 

  103. Giardino A, Gupta S, Olson E, Sepulveda K, Lenchik L, Ivanidze J, Rakow-Penner R, Patel MJ, Subramaniam RM, Ganeshan D: Role of Imaging in the Era of Precision Medicine. Acad Radiol 24(5):639–649, 2017. https://doi.org/10.1016/j.acra.2016.11.021 Review

    Article  PubMed  Google Scholar 

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Gupta, S., Johnson, E.M., Peacock, J.G. et al. Radiology, Mobile Devices, and Internet of Things (IoT). J Digit Imaging 33, 735–746 (2020). https://doi.org/10.1007/s10278-019-00311-2

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  • DOI: https://doi.org/10.1007/s10278-019-00311-2

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