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This article is part of the supplement: Beyond the Genome: The true gene count, human evolution and disease genomics

Poster presentation

Genomic patient information management system

D Dharmiah1, M Narasinga Rao1, Ravikiran 1, N Sandeep1, V DS Gopal1, Allam Appa Rao2 and GR Sridhar3*

  • * Corresponding author: GR Sridhar

Author Affiliations

1 Department of Computer Sciences, Vignan’s Institute of Information Technology, Visakhapatnam 530046, India and JNTU, Kakinada 533003, India

2 JNTU, Kakinada 533003, India

3 Endocrine and Diabetes Centre, 15-12-15 Krishnanagar, Visakhapatnam 530 002, India

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Genome Biology 2010, 11(Suppl 1):P44 doi:10.1186/gb-2010-11-s1-p44


The electronic version of this article is the complete one and can be found online at: http://genomebiology.com/2010/11/S1/P44


Published:4 November 2010

© 2010 Sridhar et al; licensee BioMed Central Ltd.

Background

Post-human-genomic-sequencing, efforts are being made to merge data from clinical phenotypes (clinical and biochemical values) with genomic data to provide personalized advice and to improve the efficiency of health care systems. The currently available models require integration, while at the same time ensuring security and stability.

Components

We developed a model retrieval “Genomic patient information management system” It caters to the requirements of clinicians and patients by acting as an interface which allows 1) Maintaining the patient records with diagnosis reports 2) Sending the next appointment dates to the patients through an SMS facility. 3) E-mail facility to provide interaction b/n patient and doctor. 4) Creating a Semantic network model for storing the genomic information 5) Indexing facility to check the database of genomic information 6) A Search Engine, to search for a key word in the genomic database 7) Offering provable protection from individual re identification based on clinical features 8) Allowing sensitive patterns of genomic codes to be automatically extracted 9) generating anonymization to ensure individual privacy 10) performing clinical case analysis tasks.

Conclusion

The patient information management application has an intuitive user interface and is flexible for further upgradation

References

  1. Sridhar GR, Appa Rao A, Muraleedharan MV, Jaya Kumar RV, Yarabati V: Electronic medical records andhospital management systems for management of diabetes.

    Diab Metabolic Syndrome: Clin Res Rev 2009, 3:55-9. Publisher Full Text OpenURL

  2. Narasinga Rao M, Sridhar GR, Appa Rao A, Satya Aruna M, Murali G: Integrated genomic data information system. In Genomics of common diseases meeting, Wellcome Trust, Hinxton. Cambridge, UK; 2009.

    (Abstract)

    OpenURL