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

Mobile Health (mhealth) (2765)

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

Evaluation of the Accuracy of Smartphone Medical Calculation Apps

Evaluation of the Accuracy of Smartphone Medical Calculation Apps

Evaluation of the Accuracy of Smartphone Medical Calculation Apps

Authors of this article:

Rachel Bierbrier1 ;   Vivian Lo1 ;   Robert C Wu1, 2
Article Authors Cited by (51) Tweetations (68) Metrics

Journals

  1. Butcher R, MacKinnon M, Gadd K, LeBlanc-Duchin D. Development and Examination of a Rubric for Evaluating Point-of-Care Medical Applications for Mobile Devices. Medical Reference Services Quarterly 2015;34(1):75 View
  2. da Silva P, dos Santos Fonseca Junior G, Ambrozio R, Tiburcio M, Machado G, de Carvalho S, de Oliveira E, de Almeida Silva Teixeira L, Jorge D. 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 View
  3. Raaum S, Arbelaez C, Vallejo C, Patino A, Colbert-Getz J, Milne C. 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 View
  4. El Hadidy T, Alshafei A, Mortell A, Doherty E. Smartphones in clinical practice: doctors’ experience at two Dublin paediatric teaching hospitals. Irish Journal of Medical Science (1971 -) 2018;187(3):565 View
  5. Ming L, Hameed M, Lee D, Apidi N, Lai P, Hadi M, Al-Worafi Y, Khan T. Use of Medical Mobile Applications Among Hospital Pharmacists in Malaysia. Therapeutic Innovation & Regulatory Science 2016;50(4):419 View
  6. Teixeira Neto N, Lima Y, Almeida G, Bezerra M, Lima P, de Oliveira R. Physiotherapy Questionnaires App to Deliver Main Musculoskeletal Assessment Questionnaires: Development and Validation Study. JMIR Rehabilitation and Assistive Technologies 2018;5(1):e1 View
  7. van Kerkhof L, van der Laar C, 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 View
  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 View
  9. Lewis T, Boissaud-Cooke M, Aungst T, 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 View
  10. Johnson E, Emani V, 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 View
  11. Iglesias-Posadilla D, Gómez-Marcos V, Hernández-Tejedor A. Apps y Medicina Intensiva. Medicina Intensiva 2017;41(4):227 View
  12. Carter J, Sandall J, Shennan A, Tribe R. Mobile phone apps for clinical decision support in pregnancy: a scoping review. BMC Medical Informatics and Decision Making 2019;19(1) View
  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 View
  14. Jung M, Lee S, Kim J, Kim H, Ko B, Son B, Ahn S, Park Y, Cho D, Chung H, Park H, Lee M, Lee J, Chung S, Chung I. A Mobile Technology for Collecting Patient-Reported Physical Activity and Distress Outcomes: Cross-Sectional Cohort Study. JMIR mHealth and uHealth 2020;8(5):e17320 View
  15. Lewis T, Wyatt J. mHealth and Mobile Medical Apps: A Framework to Assess Risk and Promote Safer Use. Journal of Medical Internet Research 2014;16(9):e210 View
  16. Witt R, Kebaetse M, Holmes J, 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 View
  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 View
  18. Chyjek K, Farag S, Chen K. Rating Pregnancy Wheel Applications Using the APPLICATIONS Scoring System. Obstetrics & Gynecology 2015;125(6):1478 View
  19. Huckvale K, Adomaviciute S, Prieto J, Leow M, Car J. Smartphone apps for calculating insulin dose: a systematic assessment. BMC Medicine 2015;13(1) View
  20. Angarita F, Strickland M, Acuna S. Incorporating smartphones into clinical practice. Annals of Medicine and Surgery 2015;4(2):187 View
  21. Søreide K, Thorsen K, Søreide J. 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 View
  22. Valle J, Godby T, Paul D, Smith H, Coustasse A. Use of Smartphones for Clinical and Medical Education. The Health Care Manager 2017;36(3):293 View
  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) View
  24. Patel R, Sayers A, Patrick N, Hughes K, Armitage J, Hunter I. A UK perspective on smartphone use amongst doctors within the surgical profession. Annals of Medicine and Surgery 2015;4(2):107 View
  25. Hussain M, Al-Haiqi A, Zaidan A, Zaidan B, Kiah M, Anuar N, 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 View
  26. Xu F, Zhang S. Present Situation of Mobile Medical Applications. Open Journal of Social Sciences 2016;04(03):72 View
  27. Gebska M, Williford N, Schadler A, Laxson C, Alvarez P, Briasoulis A, Cadaret L, Yumul-Non I, Kerber R, Weiss R. Pharmacological vs Exercise Stress Echocardiography for Detection of Cardiac Allograft Vasculopathy. Mayo Clinic Proceedings: Innovations, Quality & Outcomes 2020;4(1):65 View
  28. Iglesias-Posadilla D, Gómez-Marcos V, Hernández-Tejedor A. Apps and intensive care medicine. Medicina Intensiva (English Edition) 2017;41(4):227 View
  29. Wurzer P, Parvizi D, Lumenta D, Giretzlehner M, Branski L, Finnerty C, Herndon D, Tuca A, Rappl T, Smolle C, Kamolz L. Smartphone applications in burns. Burns 2015;41(5):977 View
  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 View
  31. Rozati H, Shah S, Shah N. Smartphone Applications for the Clinical Oncologist in UK Practice. Journal of Cancer Education 2015;30(2):367 View
  32. Park S, Purnell M, Freeman M, Reese R, Varga S. Preference and Frequency of Mobile Phone App Use for Drug Information Among Student Pharmacists. Journal of Pharmacy Technology 2017;33(3):87 View
  33. Gehring H, Pramann O, Imhoff M, Albrecht U. Zukunftstrend „Medical Apps“. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2014;57(12):1402 View
  34. ÖZDEMİR R, GÜLHAN İ, TOSUN G, UYAR İ, 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 View
  35. Marley J, Farooq S. Mobile telephone apps in mental health practice: uses, opportunities and challenges. BJPsych Bulletin 2015;39(6):288 View
  36. Fleming G, Petrie J, Bergenstal R, Holl R, Peters A, 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 View
  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 View
  38. Fleming G, Petrie J, Bergenstal R, Holl R, Peters A, 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 View
  39. Han S, Yu Z, Liu L, Wang J, Wei Q, Jiang C, Guo J, Li M, Yang J, Shah P, Chen C. A Model for Predicting Significant Hyperbilirubinemia in Neonates From China. Pediatrics 2015;136(4):e896 View
  40. Andrews J, Craven M, Lang A, 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) View
  41. Blebil A, Dujaili J, Mohammed A, Loh L, Chung W, Selvam T, Siow J. Exploring the eHealth literacy and mobile health application utilisation amongst Malaysian pharmacy students. Journal of Telemedicine and Telecare 2023;29(1):58 View
  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 View
  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 View
  44. Tacchino A, Di Giovanni R, Grange E, Spirito M, Ponzio M, Battaglia M, Brichetto G, Solaro C. 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 View
  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 View
  46. Franco-Arellano B, Brown J, 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 View
  47. Amran M, 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) View

Books/Policy Documents

  1. Chindalo P, Karim A, Brahmbhatt R, Saha N, Keshavjee K. Health Care Delivery and Clinical Science. View
  2. Molina-Recio G, García-Hernández L, Castilla-Melero A, Palomo-Romero J, Molina-Luque R, Sánchez-Muñoz A, Arauzo-Azofra A, Salas-Morera L. Bioinformatics and Biomedical Engineering. View
  3. Keshavjee K, Johnston-Jewell D, Lee B, Kyba R. Smart and Pervasive Healthcare. View