Literature DB >> 29990071

Understanding the Bioinformatics Challenges of Integrating Genomics into Healthcare.

Ahmad Al Kawam, Arun Sen, Aniruddha Datta, Nancy Dickey.   

Abstract

Genomic data is paving the way towards personalized healthcare. By unveiling genetic disease-contributing factors, genomic data can aid in the detection, diagnosis, and treatment of a wide range of complex diseases. Integrating genomic data into healthcare is riddled with a wide range of challenges spanning social, ethical, legal, educational, economic, and technical aspects. Bioinformatics is a core integration aspect presenting an overwhelming number of unaddressed challenges. In this paper we tackle the fundamental bioinformatics integration concerns including: genomic data generation, storage, representation, and utilization in conjunction with clinical data. We divide the bioinformatics challenges into a series of seven intertwined integration aspects spanning the areas of informatics, knowledge management, and communication. For each aspect, we provide a detailed discussion of the current research directions, outstanding challenges, and possible resolutions. This paper seeks to help narrow the gap between the genomic applications, which are being predominantly utilized in research settings, and the clinical adoption of these applications.

Mesh:

Year:  2017        PMID: 29990071     DOI: 10.1109/JBHI.2017.2778263

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  5 in total

1.  The Implementation Chasm Hindering Genome-informed Health Care.

Authors:  Kevin B Johnson; Ellen Wright Clayton; Justin Starren; Josh Peterson
Journal:  J Law Med Ethics       Date:  2020-03       Impact factor: 1.718

2.  Development of a Genomic Data Flow Framework: Results of a Survey Administered to NIH-NHGRI IGNITE and eMERGE Consortia Participants.

Authors:  Paul Dexter; Henry Ong; Amanda Elsey; Gillian Bell; Nephi Walton; Wendy Chung; Luke Rasmussen; Kevin Hicks; Aniwaa Owusu-Obeng; Stuart Scott; Steve Ellis; Josh Peterson
Journal:  AMIA Annu Symp Proc       Date:  2020-03-04

Review 3.  Formal Medical Knowledge Representation Supports Deep Learning Algorithms, Bioinformatics Pipelines, Genomics Data Analysis, and Big Data Processes.

Authors:  Ferdinand Dhombres; Jean Charlet
Journal:  Yearb Med Inform       Date:  2019-08-16

4.  Improving reusability along the data life cycle: a regulatory circuits case study.

Authors:  Marine Louarn; Fabrice Chatonnet; Xavier Garnier; Thierry Fest; Anne Siegel; Catherine Faron; Olivier Dameron
Journal:  J Biomed Semantics       Date:  2022-03-28

5.  Pharmacogenomic alerts: Developing guidance for use by healthcare professionals.

Authors:  John-Paul L Carter; James Critchlow; Sarah Jackson; Sonali Sanghvi; Helene Feger; Afzal Chaudhry; Lorraine Foley; Reecha Sofat
Journal:  Br J Clin Pharmacol       Date:  2022-02-14       Impact factor: 3.716

  5 in total

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