MIND Plug-in: Development of an Electronic Medical Record based data collection tool for research in autism and neurodevelopmental disorders

This paper describes the efforts to support capacity building efforts for conducting research in autism in the Philippines. The objective is to adapt the SHINE OS+, an existing EHR in the Philippines, to research in autism by enabling data collection on medical profiles and diagnostic testing. The m...

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Main Authors: Pulmano, Christian E, Dy, Angel Belle C, Wenceslao, Stephen John Matthew, Tanchanco, Lourdes S, Estuar, Ma. Regina Justina E
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Published: Archīum Ateneo 2019
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Online Access:https://archium.ateneo.edu/discs-faculty-pubs/68
https://www.sciencedirect.com/science/article/pii/S1877050919322781
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Institution: Ateneo De Manila University
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spelling ph-ateneo-arc.discs-faculty-pubs-10672020-04-17T06:39:47Z MIND Plug-in: Development of an Electronic Medical Record based data collection tool for research in autism and neurodevelopmental disorders Pulmano, Christian E Dy, Angel Belle C Wenceslao, Stephen John Matthew Tanchanco, Lourdes S Estuar, Ma. Regina Justina E This paper describes the efforts to support capacity building efforts for conducting research in autism in the Philippines. The objective is to adapt the SHINE OS+, an existing EHR in the Philippines, to research in autism by enabling data collection on medical profiles and diagnostic testing. The methodology follows an agile iterative approach in the design and development of the plug-in. SHINE OS+ platform is developed in PHP using the Laravel Framework. The same framework was used for the MIND plugin. Design and development stage followed post-discussion activities in the data gathering stage. Functional and non-functional requirements were identified based on user stories gathered from the stakeholders. More specific functional requirements were obtained for the following forms: Patient History, Initial Assessment, Physical Examination, ADOS-2, and Griffiths III. A three stage process is recommended to develop a customized patient management system: (1) Extraction of user stories functional and non-functional requirements to be included, (2) Inclusion of diagnostic and developmental tools, and (3) Incorporate user workflow for seamless and efficient use of the system. Open source systems like SHINE OS+ allows for the iterative development of patient management systems that are flexible to adapt to multi-users, implementing a holistic approach in understanding patients. 2019-01-01T08:00:00Z text https://archium.ateneo.edu/discs-faculty-pubs/68 https://www.sciencedirect.com/science/article/pii/S1877050919322781 Department of Information Systems & Computer Science Faculty Publications Archīum Ateneo Autism Electronic Medical Records Patient Profiling Computer Sciences
institution Ateneo De Manila University
building Ateneo De Manila University Library
continent Asia
country Philippines
Philippines
content_provider Ateneo De Manila University Library
collection archium.Ateneo Institutional Repository
topic Autism
Electronic Medical Records
Patient Profiling
Computer Sciences
spellingShingle Autism
Electronic Medical Records
Patient Profiling
Computer Sciences
Pulmano, Christian E
Dy, Angel Belle C
Wenceslao, Stephen John Matthew
Tanchanco, Lourdes S
Estuar, Ma. Regina Justina E
MIND Plug-in: Development of an Electronic Medical Record based data collection tool for research in autism and neurodevelopmental disorders
description This paper describes the efforts to support capacity building efforts for conducting research in autism in the Philippines. The objective is to adapt the SHINE OS+, an existing EHR in the Philippines, to research in autism by enabling data collection on medical profiles and diagnostic testing. The methodology follows an agile iterative approach in the design and development of the plug-in. SHINE OS+ platform is developed in PHP using the Laravel Framework. The same framework was used for the MIND plugin. Design and development stage followed post-discussion activities in the data gathering stage. Functional and non-functional requirements were identified based on user stories gathered from the stakeholders. More specific functional requirements were obtained for the following forms: Patient History, Initial Assessment, Physical Examination, ADOS-2, and Griffiths III. A three stage process is recommended to develop a customized patient management system: (1) Extraction of user stories functional and non-functional requirements to be included, (2) Inclusion of diagnostic and developmental tools, and (3) Incorporate user workflow for seamless and efficient use of the system. Open source systems like SHINE OS+ allows for the iterative development of patient management systems that are flexible to adapt to multi-users, implementing a holistic approach in understanding patients.
format text
author Pulmano, Christian E
Dy, Angel Belle C
Wenceslao, Stephen John Matthew
Tanchanco, Lourdes S
Estuar, Ma. Regina Justina E
author_facet Pulmano, Christian E
Dy, Angel Belle C
Wenceslao, Stephen John Matthew
Tanchanco, Lourdes S
Estuar, Ma. Regina Justina E
author_sort Pulmano, Christian E
title MIND Plug-in: Development of an Electronic Medical Record based data collection tool for research in autism and neurodevelopmental disorders
title_short MIND Plug-in: Development of an Electronic Medical Record based data collection tool for research in autism and neurodevelopmental disorders
title_full MIND Plug-in: Development of an Electronic Medical Record based data collection tool for research in autism and neurodevelopmental disorders
title_fullStr MIND Plug-in: Development of an Electronic Medical Record based data collection tool for research in autism and neurodevelopmental disorders
title_full_unstemmed MIND Plug-in: Development of an Electronic Medical Record based data collection tool for research in autism and neurodevelopmental disorders
title_sort mind plug-in: development of an electronic medical record based data collection tool for research in autism and neurodevelopmental disorders
publisher Archīum Ateneo
publishDate 2019
url https://archium.ateneo.edu/discs-faculty-pubs/68
https://www.sciencedirect.com/science/article/pii/S1877050919322781
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