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Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
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Published on: March 13, 2017

Proposed model for ONCHIT pre-case biosurveillance using multiple array sensing and non-invasive data capture.

Richard Churchill1, Daniel Lorence, Michael Richards

  • 1Center for Technology Assessment, University Park, PA 16802, USA. rchurch@vminetwork.org

Journal of Medical Systems
|August 13, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a novel consumer-focused approach for public health surveillance. It utilizes breath analysis for early detection and data collection, improving biosurveillance networks.

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Area of Science:

  • Biomedical Engineering
  • Public Health Informatics
  • Biosurveillance Technology

Background:

  • Electronic population health data collection is crucial for Public Health Case (PH Case) and Adverse Event (AE) reporting, as highlighted by US ONCHIT initiatives.
  • Existing provider-based solutions face challenges with high costs and data distribution policies, limiting their effectiveness.
  • Consumer-focused, distributed data collection models for biosurveillance remain underexplored.

Purpose of the Study:

  • To propose a novel consumer-focused, distributed data collection model for pre-case biosurveillance.
  • To leverage objective, consumer-provided standardized data for earlier intervention in public health.
  • To explore the application of breath-based sensing technology in biosurveillance.

Main Methods:

  • Development of a consumer-focused, distributed data collection model.
  • Utilizing breath-based, multiple array sensing for data capture.
  • Conceptualizing applications for pre-case biosurveillance management.

Main Results:

  • A promising model for pre-case biosurveillance management using breath analysis is presented.
  • The proposed model facilitates earlier use of extensible and distributed information networks.
  • The technology offers a transformative approach for emerging Electronic Medical Record (EMR) and Electronic Health Record (EHR) requirements.

Conclusions:

  • Consumer-provided data through novel sensing technologies can enhance pre-case biosurveillance.
  • Breath-based sensing offers a viable method for distributed, objective data collection in public health.
  • This approach addresses limitations of current provider-based systems and supports future EMR/EHR integration.