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mHealth App for iOS to Help in Diagnostic Decision in Ophthalmology to Primary Care Physicians
Decision support systems (DSS) are increasingly demanded due that diagnosis is one of the main activities that physicians accomplish every day. This fact seems critical when primary care physicians deal with uncommon problems belonging to specialized areas. The main objective of this paper is the de...
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Published in: | Journal of medical systems 2017-05, Vol.41 (5), p.81-81, Article 81 |
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container_title | Journal of medical systems |
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creator | López, Marta Manovel López, Miguel Maldonado de la Torre Díez, Isabel Jimeno, José Carlos Pastor López-Coronado, Miguel |
description | Decision support systems (DSS) are increasingly demanded due that diagnosis is one of the main activities that physicians accomplish every day. This fact seems critical when primary care physicians deal with uncommon problems belonging to specialized areas. The main objective of this paper is the development and user evaluation of a mobile DSS for iOS named OphthalDSS. This app has as purpose helping in anterior segment ocular diseases’ diagnosis, besides offering educative content about ophthalmic diseases to users. For the deployment of this work, firstly it has been used the Apple IDE, Xcode, to develop the OphthalDSS mobile application using Objective-C as programming language. The core of the decision support system implemented by OphthalDSS is a decision tree developed by expert ophthalmologists. In order to evaluate the Quality of Experience (QoE) of primary care physicians after having tried the OphthalDSS app, a written inquiry based on the Likert scale was used. A total of 50 physicians answered to it, after trying the app during 1 month in their medical consultation. OphthalDSS is capable of helping to make diagnoses of diseases related to the anterior segment of the eye. Other features of OphthalDSS are a guide of each disease and an educational section. A 70% of the physicians answered in the survey that OphthalDSS performs in the way that they expected, and a 95% assures their trust in the reliability of the clinical information. Moreover, a 75% of them think that the decision system has a proper performance. Most of the primary care physicians agree with that OphthalDSS does the function that they expected, it is a user-friendly and the contents and structure are adequate. We can conclude that OphthalDSS is a practical tool but physicians require extra content that makes it a really useful one. |
doi_str_mv | 10.1007/s10916-017-0731-6 |
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This fact seems critical when primary care physicians deal with uncommon problems belonging to specialized areas. The main objective of this paper is the development and user evaluation of a mobile DSS for iOS named OphthalDSS. This app has as purpose helping in anterior segment ocular diseases’ diagnosis, besides offering educative content about ophthalmic diseases to users. For the deployment of this work, firstly it has been used the Apple IDE, Xcode, to develop the OphthalDSS mobile application using Objective-C as programming language. The core of the decision support system implemented by OphthalDSS is a decision tree developed by expert ophthalmologists. In order to evaluate the Quality of Experience (QoE) of primary care physicians after having tried the OphthalDSS app, a written inquiry based on the Likert scale was used. A total of 50 physicians answered to it, after trying the app during 1 month in their medical consultation. OphthalDSS is capable of helping to make diagnoses of diseases related to the anterior segment of the eye. Other features of OphthalDSS are a guide of each disease and an educational section. A 70% of the physicians answered in the survey that OphthalDSS performs in the way that they expected, and a 95% assures their trust in the reliability of the clinical information. Moreover, a 75% of them think that the decision system has a proper performance. Most of the primary care physicians agree with that OphthalDSS does the function that they expected, it is a user-friendly and the contents and structure are adequate. We can conclude that OphthalDSS is a practical tool but physicians require extra content that makes it a really useful one.</description><identifier>ISSN: 0148-5598</identifier><identifier>EISSN: 1573-689X</identifier><identifier>DOI: 10.1007/s10916-017-0731-6</identifier><identifier>PMID: 28364359</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Decision Support Systems, Clinical ; Diagnostic Techniques, Ophthalmological ; Eye Diseases - diagnosis ; Health Informatics ; Health Sciences ; Humans ; Medical diagnosis ; Medicine ; Medicine & Public Health ; Mobile & Wireless Health ; Mobile Applications ; Ophthalmology ; Physicians ; Physicians, Primary Care ; Primary care ; Primary Health Care - methods ; Primary Health Care - standards ; Spain ; Statistics for Life Sciences ; Telemedicine - methods ; Telemedicine - standards</subject><ispartof>Journal of medical systems, 2017-05, Vol.41 (5), p.81-81, Article 81</ispartof><rights>Springer Science+Business Media New York 2017</rights><rights>Journal of Medical Systems is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-5328866ad559a8ae4aaa537525aa1b216b60b20ae26020c1182ae0736a1703763</citedby><cites>FETCH-LOGICAL-c372t-5328866ad559a8ae4aaa537525aa1b216b60b20ae26020c1182ae0736a1703763</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28364359$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>López, Marta Manovel</creatorcontrib><creatorcontrib>López, Miguel Maldonado</creatorcontrib><creatorcontrib>de la Torre Díez, Isabel</creatorcontrib><creatorcontrib>Jimeno, José Carlos Pastor</creatorcontrib><creatorcontrib>López-Coronado, Miguel</creatorcontrib><title>mHealth App for iOS to Help in Diagnostic Decision in Ophthalmology to Primary Care Physicians</title><title>Journal of medical systems</title><addtitle>J Med Syst</addtitle><addtitle>J Med Syst</addtitle><description>Decision support systems (DSS) are increasingly demanded due that diagnosis is one of the main activities that physicians accomplish every day. This fact seems critical when primary care physicians deal with uncommon problems belonging to specialized areas. The main objective of this paper is the development and user evaluation of a mobile DSS for iOS named OphthalDSS. This app has as purpose helping in anterior segment ocular diseases’ diagnosis, besides offering educative content about ophthalmic diseases to users. For the deployment of this work, firstly it has been used the Apple IDE, Xcode, to develop the OphthalDSS mobile application using Objective-C as programming language. The core of the decision support system implemented by OphthalDSS is a decision tree developed by expert ophthalmologists. In order to evaluate the Quality of Experience (QoE) of primary care physicians after having tried the OphthalDSS app, a written inquiry based on the Likert scale was used. A total of 50 physicians answered to it, after trying the app during 1 month in their medical consultation. OphthalDSS is capable of helping to make diagnoses of diseases related to the anterior segment of the eye. Other features of OphthalDSS are a guide of each disease and an educational section. A 70% of the physicians answered in the survey that OphthalDSS performs in the way that they expected, and a 95% assures their trust in the reliability of the clinical information. Moreover, a 75% of them think that the decision system has a proper performance. Most of the primary care physicians agree with that OphthalDSS does the function that they expected, it is a user-friendly and the contents and structure are adequate. We can conclude that OphthalDSS is a practical tool but physicians require extra content that makes it a really useful one.</description><subject>Decision Support Systems, Clinical</subject><subject>Diagnostic Techniques, Ophthalmological</subject><subject>Eye Diseases - diagnosis</subject><subject>Health Informatics</subject><subject>Health Sciences</subject><subject>Humans</subject><subject>Medical diagnosis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mobile & Wireless Health</subject><subject>Mobile Applications</subject><subject>Ophthalmology</subject><subject>Physicians</subject><subject>Physicians, Primary Care</subject><subject>Primary care</subject><subject>Primary Health Care - methods</subject><subject>Primary Health Care - standards</subject><subject>Spain</subject><subject>Statistics for Life Sciences</subject><subject>Telemedicine - methods</subject><subject>Telemedicine - 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subjects | Decision Support Systems, Clinical Diagnostic Techniques, Ophthalmological Eye Diseases - diagnosis Health Informatics Health Sciences Humans Medical diagnosis Medicine Medicine & Public Health Mobile & Wireless Health Mobile Applications Ophthalmology Physicians Physicians, Primary Care Primary care Primary Health Care - methods Primary Health Care - standards Spain Statistics for Life Sciences Telemedicine - methods Telemedicine - standards |
title | mHealth App for iOS to Help in Diagnostic Decision in Ophthalmology to Primary Care Physicians |
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