Alfonso Elizalde LL, Durán Chaparro JP, Guerrero Rocha JS, Pastrán Pastrana LG, Villamizar Rodríguez YM, Acuña Gómez JS, Jiménez Barbosa WG. Concepto y aplicación de la teleoptometría. Cienc Tecnol Salud Vis y Ocul. 2016;14(2):25-41
Manovel López M. Desarrollo y evaluación de un sistema de ayuda a la decisión médica móvil en iOS para el diagnóstico de enfermedades del polo anterior del ojo [trabajo de fin de máster]. Valladolid: Universidad de Valladolid; 2016
De la Torre-Díez I, Martínez-Pérez B, López-Coronado M, Díaz JR, López MM. Decision support systems and applications in ophthalmology: literature and commercial review focused on mobile apps. J Med Syst. 2015;39(1):174
López MM, López MM, de la Torre Díez I, Jimeno JCP, López-Coronado M. mHealth App for iOS to help in diagnostic decision in ophthalmology to primary care physicians. J Med Syst. 2017;41(5):81
Manovel López M. Desarrollo y evaluación de un sistema móvil de ayuda a la decisión médica en el campo de la oftalmología [tesis de grado]. Valladolid: Universidad de Valladolid
Amudha J, Nandakumar H, Madhura S, Reddy MP, Kavitha N. An android-based mobile eye gaze point estimation system for studying the visual perception in children with autism. En Jain LC, Behera HS, Mandal JK, Mohapatra DP, editores. Computational intelligence in data mining-Volume 2. Nueva Delhi: Springer; 2015. p. 49-58
Baker-Shena L. Eye care apps: find what works for you. EyeNet Magazine. 2015;29-31
Cheng NM, Chakrabarti R, Kam JK. iPhone applications for eye care professionals: a review of current capabilities and concerns. Telemed J E Health. 2014;20(4):385-7
Ventola CL. Mobile devices and apps for health care professionals: uses and benefits. P&T. 2014;39(5):356-64
Pathak S, Kumar B. Wireless teleophthalmology: a novel, low-cost, flexible network architecture and its performance evaluation for remote eye care solutions. Telemed J E Health. 2017;23(9):753-62
Barragán Vargas DA, Duarte Castiblanco D, Aparicio Pico LE. Current status of technology and telemedicine services in Colombia. Int J Appl Eng Res. 2018;13(20):14517-30
Weinstein RS, Lopez AM, Joseph BA, Erps KA, Holcomb M, Barker GP, Krupinski EA. Telemedicine, telehealth, and mobile health applications that work: opportunities and barriers. Am J Med. 2014;127(3):183-7
Gupta V, Gupta VB. Using technology, bioinformatics and health informatics approaches to improve learning experiences in optometry education, research and practice. Healthcare (Basel). 2016;4(4):pii E86
Santamaría-Puerto G, Hernández-Rincón E. Aplicaciones médicas móviles: definiciones, beneficios y riesgos. Salud Uninorte. 2015;31(3):599-607
López MM, López MM, de la Torre Díez I, Jimeno JCP, López-Coronado M. A mobile decision support system for red eye diseases diagnosis: experience with medical students. J Med Syst. 2016;40(6):151
Board E. Hay una aplicación para eso: la tecnología móvil representa una nueva ventaja en el tratamiento del dolor crónico. Int Assoc Study Pain. 2013;21(6):1-6
Alonso-Arévalo J, Mirón-Canelo JA. Aplicaciones móviles en salud: potencial, normativa de seguridad y regulación. Rev Cuba Inf Cienc Salud. 2017;28(3):1-13
Martnez Gonzlez MA. Conceptos de salud pública y estrategias preventivas: un manual para ciencias de la salud. Barcelona: Elsevier; 2018
Jaramillo O, Henao de Brigard P, Ruiz S, Jiménez S, Torres ML, Triana G, et al. Perfil y competencias profesionales del optómetra en Colombia [internet]. Bogotá: Ministerio de Salud y Protección Social [citado 2019 oct. 23];2014. Disponible en: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/VS/TH/Optometría_Octubre2014.pdf
Paudel N. Smartphone applications for amblyopia treatment: A review of current apps and professional involvement. Telemed J E Health. 2018;24(10):797-802
Mora A. Educación y promoción de la salud visual como estrategias claves en contactología. RPALC. 2013;5(4):13-6
Shin D, Hur S, Lee H, Nam J, Jung J-Y. An analytical model for delivery evaluation of multimodal contents in pervasive computing. Comput Ind. 2010;61(5):440-7
Azrak C, Palazón-Bru A, Baeza-Díaz MV, Folgado-De la Rosa DM, Hernández-Martínez C, Martínez-Toldos JJ, Gil-Guillén VF. A predictive screening tool to detect diabetic retinopathy or macular edema in primary health care: construction, validation and implementation on a mobile application. Peer J. 2015;3:e1404
Kamei-Hannan C, McCarthy T, Pomeroy B. Methods in creating the iBraille Challenge mobile app for braille users. J Technol Persons Disabil. 2015;3:130-144
Nahar L, Jaafar A, Ahamed E, Kaish A. Design of a Braille learning application for visually impaired students in Bangladesh. Assist Technol. 2015;27(3):172-82
Ali ZC, Silvioli R, Rajai A, Aslam TM. Feasibility of use of a mobile application for nutrition assessment pertinent to age-related macular degeneration (MANAGER2). Transl Vis Sci Technol. 2017;6(1):4
Coutinho F, Bosisio M-E, Brown E, Rishikof S, Skaf E, Zhang X, et al. Effectiveness of iPad apps on visual-motor skills among children with special needs between 4y0m-7y11m. Disabil Rehabil Assist Technol. 2017;12(4):402-10
Mariakakis A, Wang E, Patel S, Wen JC. A smartphone-based system for assessing intraocular pressure. En: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE; 2016. p. 4353-6
Montaña A, Amado C, Eslava H. Sistemas e-health para el tratamiento de la diabetes. Rev Vínculos. 2014;11(2):111-26
Choi AR, Greenberg PB. Patient education strategies in cataract surgery: a systematic review. J Evid Based Med. 2018;11(2):71-82
Arenas-Monreal L, Cortez-Lugo M, Parada-Toro I, Pacheco-Magaña LE, Magaña-Valladares L. Population health diagnosis with an ecohealth approach. Rev Saude Publica. 2015;49:1-8
Bonet-Morón J, Guzmán-Finol K. Un análisis regional de la salud en Colombia [internet]. Cartagena de Indias: Banco de la República [citado 2018 oct. 23];2015. Disponible en: http://www.banrep.gov.co/sites/default/files/publicaciones/archivos/dtser_222.pdf
Morjaria P, Bastawrous A, Murthy GVS, Evans J, Gilbert C. Effectiveness of a novel mobile health education intervention (Peek) on spectacle wear among children in India: study protocol for a randomized controlled trial. Trials. 2017;18(1):168
Lodhia V, Karanja S, Lees S, Bastawrous A. Acceptability, usability, and views on deployment of peek, a Mobile Phone mHealth intervention for eye care in Kenya: qualitative study. JMIR Mhealth Uhealth. 2016;4(2):e30
Bastawrous A, Giardini ME, Bolster NM, Peto T, Shah N, Livingstone IAT, et al. Clinical validation of smartphone based adapter: peek retina for optic disc imaging in Kenya. JAMA Ophthalmol. 2016;134(2):151-8
Johnson CA, Thapa S, George Kong YX, Robin AL. Performance of an iPad application to detect moderate and advanced visual field loss in Nepal. Am J Ophthalmol. 2017;182:147-54
Maldonado López MJ, de la Torre I, López Coronado M, Pastor Jimeno JC. App móvil de ayuda a la decisión para el apredizaje de la asignatura "Oftalmología" en el Grado de Medicina de la Universidad de Valladolid. En: Pérez Aldeguer S, Castellano Pérez G, Pina Calafi A, coordinadores. Propuesta de innovación educativa en la sociedad de la información. Holanda: Adaya Press; 2017. p. 28-38
Toner KN, Lynn MJ, Candy TR, Hutchinson AK. The Handy Eye Check: A mobile medical application to test visual acuity in children. J AAPOS. 2014;18(3):258-60
Vera AJ. QuasarApp [trabajo de fin de grado]. San Cristóbal de La Laguna [internet], España: Universidad de La Laguna [citado 2019 oct. 25]; 2015. Disponible en: https://riull.ull.es/xmlui/bitstream/handle/915/2903/QuasarApp.pdf?sequence=1&isAllowed=y
Kaya A. Ophthoselfie: Detailed self-imaging of cornea and anterior segment by smartphone. Turk J Ophthalmol. 2017;47(3):130-2
Arita R. Validity of noninvasive meibography systems: noncontact meibography equipped with a slit-lamp and a mobile pen-shaped meibograph. Cornea. 2013;32(supl.1):S65-70
Moradian S, Safi S. Application of mobile phones in ophthalmology. J Ophthalmic Vis Res. 2015;10(2):200-5
Ademola-Popoola DS, Olatunji VA. Retinal imaging with smartphone. Niger J Clin Pract. 2017;20(3):341-5
Stuermer L. Desarrollo de una herramienta digital de apoyo en la adaptación, control y monitorización de los usuarios de lentes de contacto [trabajo de fin de máster]. Valladolid: Universidad de Valladolid; 2017
Chang LY-L, Turuwhenua J, Qu TY, Black JM, Acosta ML. Infrared video pupillography coupled with smart phone led for measurement of pupillary light reflex. Front Integr Neurosci. 2017;11:6
Ciuffreda KJ, Rosenfield M. Evaluation of the SVOne: a handheld, smartphone-based autorefractor. Optom Vis Sci. 2015;92(12):1133-9
Mpofu B. University students use of computers and mobile devices for learning and their reading speed on different platforms. Univers J Educ Res. 2016;4(4):926-32
Waisbourd M, Dhami H, Zhou C, Hsieh M, Abichandani P, Pro MJ, et al. The Wills Eye Glaucoma App: interest of patients and their caregivers in a smartphone-based and tablet-based glaucoma application. J Glaucoma. 2016;25(9):e787-91
Nuryan Dehkordi F, Breitschwerdt R, Fellmann M. IT-Support in workplace health promotion: mobile apps on the rise. En: Za S, Drăgoicea M, Cavallari M, editores. Exploring Services Science. 8ht International Conference; 2017 may. 24-26; Roma, Italia
Sagale U, Bhutkar G, Karad M, Jathar N. An Eye-Free Android application for visually impaired users. En Ray G, Iqbal R, Ganguli A, Khanzode V, editores. Ergonomics in caring for people. Singapur: Springer; 2018. p. 291-7
Acuña Gómez J, Guachamin Rodríguez I, Varela Suárez N, Jiménez Barbosa WG. Teleoftalmología y teleoptometría: estrategias de atención en salud en constante avance. Cienc Tecnol Salud Vis Ocul. 2016;14(2):93-105
Jiménez Barbosa WG, Acuña Gómez JS. Avances en telesalud y telemedicina: estrategia para acercar los servicios de salud a los usuarios. Acta Odontol Colomb. 2015;5(1):101-15