""""""""New Resources for e-Patients"""""""" addresses the unmet medical needs of consumers who search for health and healthcare information online, currently a population of more than 160 million people in the U.S. It will fill gaps and address deficiencies in currently available online health information resources. It will maximize the value of public domain health information from U.S. Government sources. Textual consumer health information will be collected from NIH, FDA and other government sources. This information will be subjected to automated topic analysis and classification using methods of natural language processing and statistical text-mining to discover and extract topics on i) diseases and conditions;ii) treatments, benefits and risks;and iii) genomic risks and responses. These topics will be integrated and mapped to the most frequent health topics of interest to consumers. Personally-controlled electronic health records and personal genotypes will be studied for their potential contributions to personalized medicine for e-patients. Phase I of this project will achieve proof-of-principle and develop an advanced prototype as a foundation for construction of a new web-based resource in Phase II.

Public Health Relevance

This project addresses the unmet medical needs of consumers who search for health and healthcare information online, currently a population of more than 160 million people in the U.S. It will fill gaps and address deficiencies in current online health information resources and also target new opportunities in genomic and personalized medicine. In the process we will create consumer-friendly, automated systems that make online information search and retrieval more efficient more efficient and maximize the value of public domain health information from U.S. Government sources. The work will lead to more reliable, personalized and actionable information for a new generation of web-savvy and socially-networked """"""""e-patients"""""""" and will lead to more efficient and productive encounters between patients and healthcare systems.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Small Business Innovation Research Grants (SBIR) - Phase I (R43)
Project #
3R43HG005046-01A1S1
Application #
8129905
Study Section
Biomedical Computing and Health Informatics Study Section (BCHI)
Program Officer
Struewing, Jeffery P
Project Start
2009-09-30
Project End
2010-12-31
Budget Start
2010-08-24
Budget End
2010-12-31
Support Year
1
Fiscal Year
2010
Total Cost
$35,000
Indirect Cost
Name
Resounding Health, Inc.
Department
Type
DUNS #
809614931
City
Chestnut Hill
State
MA
Country
United States
Zip Code
02467