BACKGROUND: There exists a large number of rare and complex diseases that are neglected due to the difficulty in diagnosis and treatment. Being rare, they normally do not justify the costs of developing an especialized Electronic Health Record (EHR) system to assist doctors and patients of these diseases. In this work we propose the use of Computer applications known as Laboratory Information Management Systems (LIMS) to address this issue. RESULTS: In this work we describe a fully customizable EHR system that uses a workflow based LIMS with an easy to adapt interface for data collection and retrieval. This system can easily be customized to manage different types of medical data. The customization for a new disease can be done in a few hours with the help of a specialist. CONCLUSION: We have used the proposed system to manage data from patients of three complex diseases: neuromyelitis optica, paracoccidioidomycosis and adrenoleukodistrofy. These diseases have very different symptoms, exams, diagnostics and treatments, but the FluxMED system is able to manage these data in a highly specialized manner without any modifications to its code.
BACKGROUND: There exists a large number of rare and complex diseases that are neglected due to the difficulty in diagnosis and treatment. Being rare, they normally do not justify the costs of developing an especialized Electronic Health Record (EHR) system to assist doctors and patients of these diseases. In this work we propose the use of Computer applications known as Laboratory Information Management Systems (LIMS) to address this issue. RESULTS: In this work we describe a fully customizable EHR system that uses a workflow based LIMS with an easy to adapt interface for data collection and retrieval. This system can easily be customized to manage different types of medical data. The customization for a new disease can be done in a few hours with the help of a specialist. CONCLUSION: We have used the proposed system to manage data from patients of three complex diseases: neuromyelitis optica, paracoccidioidomycosis and adrenoleukodistrofy. These diseases have very different symptoms, exams, diagnostics and treatments, but the FluxMED system is able to manage these data in a highly specialized manner without any modifications to its code.
Authors: H Sanchez-Villeda; S Schroeder; M Polacco; M McMullen; S Havermann; G Davis; I Vroh-Bi; K Cone; N Sharopova; Y Yim; L Schultz; N Duru; T Musket; K Houchins; Z Fang; J Gardiner; E Coe Journal: Bioinformatics Date: 2003-11-01 Impact factor: 6.937
Authors: Marc R Wilkins; Jonathan W Arthur; F Keith Junius; Mathew J Harrison; Mathew D Traini; Paul Bizannes; Philip E Doggett; Warren McDonald Journal: Expert Rev Proteomics Date: 2008-10 Impact factor: 3.940
Authors: Marco A Lana-Peixoto; Lívia Edwiges Talim; Alessandra C Faria-Campos; Sérgio V A Campos; Cristiane F Rocha; Lucas A Hanke; Natália Talim; Paulo Henrique Batista; Carolina R Araujo; Rodrigo Kleinpaul Journal: Arq Neuropsiquiatr Date: 2011-08 Impact factor: 1.420