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Citing this Article

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Published on 03.02.14 in Vol 16, No 2 (2014): February

This paper is in the following e-collection/theme issue:

Works citing "Evaluation of the Accuracy of Smartphone Medical Calculation Apps"

Rachel Bierbrier, Vivian Lo, Robert C Wu

J Med Internet Res 2014 (Feb 03); 16(2):e32 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3062):

(note that this is only a small subset of citations)

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  2. da Silva PEF, dos Santos Fonseca Junior G, Ambrozio RB, Tiburcio MGS, Machado GB, de Carvalho SFG, de Oliveira EJ, de Almeida Silva Teixeira L, Jorge DC. Development of a software for mobile devices designed to help with the management of individuals with neglected tropical diseases. Research on Biomedical Engineering 2020;36(4):527
    CrossRef
  3. Raaum SE, Arbelaez C, Vallejo CE, Patino AM, Colbert-Getz JM, Milne CK. Emergency medicine and internal medicine trainees’ smartphone use in clinical settings in the United States. Journal of Educational Evaluation for Health Professions 2015;12:48
    CrossRef
  4. El Hadidy TS, Alshafei AE, Mortell AE, Doherty EM. Smartphones in clinical practice: doctors’ experience at two Dublin paediatric teaching hospitals. Irish Journal of Medical Science (1971 -) 2018;187(3):565
    CrossRef
  5. Ming LC, Hameed MA, Lee DD, Apidi NA, Lai PSM, Hadi MA, Al-Worafi YMA, Khan TM. Use of Medical Mobile Applications Among Hospital Pharmacists in Malaysia. Therapeutic Innovation & Regulatory Science 2016;50(4):419
    CrossRef
  6. Teixeira Neto NC, Lima YL, Almeida GPL, Bezerra MA, Lima PODP, de Oliveira RR. Physiotherapy Questionnaires App to Deliver Main Musculoskeletal Assessment Questionnaires: Development and Validation Study. JMIR Rehabilitation and Assistive Technologies 2018;5(1):e1
    CrossRef
  7. van Kerkhof LWM, van der Laar CWE, de Jong C, Weda M, Hegger I. Characterization of Apps and Other e-Tools for Medication Use: Insights Into Possible Benefits and Risks. JMIR mHealth and uHealth 2016;4(2):e34
    CrossRef
  8. Dehling T, Gao F, Schneider S, Sunyaev A. Exploring the Far Side of Mobile Health: Information Security and Privacy of Mobile Health Apps on iOS and Android. JMIR mHealth and uHealth 2015;3(1):e8
    CrossRef
  9. Lewis TL, Boissaud-Cooke MA, Aungst TD, Eysenbach G. Consensus on Use of the Term “App” Versus “Application” for Reporting of mHealth Research. Journal of Medical Internet Research 2014;16(7):e174
    CrossRef
  10. Johnson E, Emani VK, Ren J. Breadth of Coverage, Ease of Use, and Quality of Mobile Point-of-Care Tool Information Summaries: An Evaluation. JMIR mHealth and uHealth 2016;4(4):e117
    CrossRef
  11. Iglesias-Posadilla D, Gómez-Marcos V, Hernández-Tejedor A. Apps y Medicina Intensiva. Medicina Intensiva 2017;41(4):227
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  12. Carter J, Sandall J, Shennan AH, Tribe RM. Mobile phone apps for clinical decision support in pregnancy: a scoping review. BMC Medical Informatics and Decision Making 2019;19(1)
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  13. Chindalo P, Karim A, Brahmbhatt R, Saha N, Keshavjee K. Health Apps by Design. International Journal of Handheld Computing Research 2016;7(2):34
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  14. Jung M, Lee S, Kim J, Kim H, Ko B, Son BH, Ahn S, Park YR, Cho D, Chung H, Park HJ, Lee M, Lee JW, Chung S, Chung IY. A Mobile Technology for Collecting Patient-Reported Physical Activity and Distress Outcomes: Cross-Sectional Cohort Study. JMIR mHealth and uHealth 2020;8(5):e17320
    CrossRef
  15. Lewis TL, Wyatt JC. mHealth and Mobile Medical Apps: A Framework to Assess Risk and Promote Safer Use. Journal of Medical Internet Research 2014;16(9):e210
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  16. Witt RE, Kebaetse MB, Holmes JH, Ryan L, Ketshogileng D, Antwi C, Kovarik C, Nkomazana O. The role of tablets in accessing information throughout undergraduate medical education in Botswana. International Journal of Medical Informatics 2016;88:71
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  17. Ertiaei A, Ataeinezhad Z, Bitaraf M, Sheikhrezaei A, Saberi H. Application of an artificial neural network model for early outcome prediction of gamma knife radiosurgery in patients with trigeminal neuralgia and determining the relative importance of risk factors. Clinical Neurology and Neurosurgery 2019;179:47
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  18. Chyjek K, Farag S, Chen KT. Rating Pregnancy Wheel Applications Using the APPLICATIONS Scoring System. Obstetrics & Gynecology 2015;125(6):1478
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  19. Huckvale K, Adomaviciute S, Prieto JT, Leow MK, Car J. Smartphone apps for calculating insulin dose: a systematic assessment. BMC Medicine 2015;13(1)
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  20. Angarita FA, Strickland M, Acuna SA. Incorporating smartphones into clinical practice. Annals of Medicine and Surgery 2015;4(2):187
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  21. Søreide K, Thorsen K, Søreide JA. Predicting outcomes in patients with perforated gastroduodenal ulcers: artificial neural network modelling indicates a highly complex disease. European Journal of Trauma and Emergency Surgery 2015;41(1):91
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  22. Valle J, Godby T, Paul DP, Smith H, Coustasse A. Use of Smartphones for Clinical and Medical Education. The Health Care Manager 2017;36(3):293
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  23. Molina Recio G, García-Hernández L, Molina Luque R, Salas-Morera L. The role of interdisciplinary research team in the impact of health apps in health and computer science publications: a systematic review. BioMedical Engineering OnLine 2016;15(S1)
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  24. Patel RK, Sayers AE, Patrick NL, Hughes K, Armitage J, Hunter IA. A UK perspective on smartphone use amongst doctors within the surgical profession. Annals of Medicine and Surgery 2015;4(2):107
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  25. Hussain M, Al-Haiqi A, Zaidan A, Zaidan B, Kiah M, Anuar NB, Abdulnabi M. The landscape of research on smartphone medical apps: Coherent taxonomy, motivations, open challenges and recommendations. Computer Methods and Programs in Biomedicine 2015;122(3):393
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  26. Xu F, Zhang S. Present Situation of Mobile Medical Applications. Open Journal of Social Sciences 2016;04(03):72
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  27. Gebska MA, Williford NN, Schadler AJ, Laxson C, Alvarez P, Briasoulis A, Cadaret LM, Yumul-Non IKT, Kerber RE, Weiss RM. Pharmacological vs Exercise Stress Echocardiography for Detection of Cardiac Allograft Vasculopathy. Mayo Clinic Proceedings: Innovations, Quality & Outcomes 2020;4(1):65
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  28. Iglesias-Posadilla D, Gómez-Marcos V, Hernández-Tejedor A. Apps and intensive care medicine. Medicina Intensiva (English Edition) 2017;41(4):227
    CrossRef
  29. Wurzer P, Parvizi D, Lumenta DB, Giretzlehner M, Branski LK, Finnerty CC, Herndon DN, Tuca A, Rappl T, Smolle C, Kamolz LP. Smartphone applications in burns. Burns 2015;41(5):977
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  30. Sandholzer M, Deutsch T, Frese T, Winter A. Medical students’ attitudes and wishes towards extending an educational general practice app to be suitable for practice: A cross-sectional survey from Leipzig, Germany. European Journal of General Practice 2016;22(2):141
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  31. Rozati H, Shah SP, Shah N. Smartphone Applications for the Clinical Oncologist in UK Practice. Journal of Cancer Education 2015;30(2):367
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  32. Park SK, Purnell MC, Freeman MK, Reese RV, Varga S. Preference and Frequency of Mobile Phone App Use for Drug Information Among Student Pharmacists. Journal of Pharmacy Technology 2017;33(3):87
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  33. Gehring H, Pramann O, Imhoff M, Albrecht U. Zukunftstrend „Medical Apps“. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2014;57(12):1402
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  34. ÖZDEMİR R, GÜLHAN , TOSUN G, UYAR , DOĞAN A, KURBAN Y, YILDIRIM KARACA S, KILIÇ B. Kadın Hastalıkları ve Doğum Uzmanlarının Klinik Karar Destek Sistemlerini Kullanımı Utilization af Clinical Decision Support Systems Among Obstetricians and Gynaecologists. STED / Sürekli Tıp Eğitimi Dergisi 2020;:153
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  35. Marley J, Farooq S. Mobile telephone apps in mental health practice: uses, opportunities and challenges. BJPsych Bulletin 2015;39(6):288
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  36. Fleming GA, Petrie JR, Bergenstal RM, Holl RW, Peters AL, Heinemann L. Diabetes Digital App Technology: Benefits, Challenges, and Recommendations. A Consensus Report by the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) Diabetes Technology Working Group. Diabetes Care 2020;43(1):250
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  37. Albrecht U, Afshar K, Illiger K, Becker S, Hartz T, Breil B, Wichelhaus D, von Jan U. Expectancy, usage and acceptance by general practitioners and patients: exploratory results from a study in the German outpatient sector. DIGITAL HEALTH 2017;3:205520761769513
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  38. Fleming GA, Petrie JR, Bergenstal RM, Holl RW, Peters AL, Heinemann L. Diabetes digital app technology: benefits, challenges, and recommendations. A consensus report by the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) Diabetes Technology Working Group. Diabetologia 2020;63(2):229
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  39. Han S, Yu Z, Liu L, Wang J, Wei Q, Jiang C, Guo J, Li M, Yang J, Shah PS, Chen C. A Model for Predicting Significant Hyperbilirubinemia in Neonates From China. Pediatrics 2015;136(4):e896
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  40. Andrews JA, Craven MP, Lang AR, Guo B, Morriss R, Hollis C. The impact of data from remote measurement technology on the clinical practice of healthcare professionals in depression, epilepsy and multiple sclerosis: survey. BMC Medical Informatics and Decision Making 2021;21(1)
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  41. Blebil AQ, Dujaili JA, Mohammed AH, Loh LL, Chung WX, Selvam T, Siow JQ. Exploring the eHealth literacy and mobile health application utilisation amongst Malaysian pharmacy students. Journal of Telemedicine and Telecare 2023;29(1):58
    CrossRef
  42. Shead D, Chetty S. Smartphone and app usage amongst South African anaesthetic service providers. Southern African Journal of Anaesthesia and Analgesia 2021;27(2):76
    CrossRef
  43. Kraushaar J, Bohnet-Joschko S. Prevalence and patterns of mobile device usage among physicians in clinical practice: A systematic review. Health Informatics Journal 2023;29(2):146045822311692
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  44. Tacchino A, Di Giovanni R, Grange E, Spirito MM, Ponzio M, Battaglia MA, Brichetto G, Solaro CM. The administration of the paper and electronic versions of the Manual Ability Measure-36 (MAM-36) and Fatigue Severity Scale (FSS) is equivalent in people with multiple sclerosis. Neurological Sciences 2024;45(3):1155
    CrossRef
  45. Rahaman S, Samuel R, Neamtiu I. Diagnosing Medical Score Calculator Apps. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2023;7(3):1
    CrossRef
  46. Franco-Arellano B, Brown JM, Daggett Q, Lockhart C, Kapralos B, LeSage A, Arcand J. Updating the Foodbot Factory serious game with new interactive engaging features and enhanced educational content. Applied Physiology, Nutrition, and Metabolism 2024;49(1):52
    CrossRef
  47. Amran MM, Bilitzky A, Bar-Yishay M, Adler L. The use of medical health applications by primary care physicians in Israel: a cross-sectional study. BMC Health Services Research 2024;24(1)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3062):

  1. Chindalo P, Karim A, Brahmbhatt R, Saha N, Keshavjee K. Health Care Delivery and Clinical Science. 2018. chapter 29:553
    CrossRef
  2. Molina-Recio G, García-Hernández L, Castilla-Melero A, Palomo-Romero JM, Molina-Luque R, Sánchez-Muñoz AA, Arauzo-Azofra A, Salas-Morera L. Bioinformatics and Biomedical Engineering. 2015. Chapter 3:24
    CrossRef
  3. Keshavjee K, Johnston-Jewell D, Lee B, Kyba R. Smart and Pervasive Healthcare. 2022. Chapter 3
    CrossRef