261768 Coupling Paperless Data Collection (PDC) and Optical Character Recognition (OCR) Technology to Collect, Manage and Analyze Data during a Public Health Emergency

Monday, October 29, 2012

Sinan Khan, MPH, MA , Department of Public Health - Emergency Preparedness and Response Program, Los Angeles County, Los Angeles, CA
Dee Ann Bagwell, MA, MPH , Department of Public Health, Los Angeles County, Los Angeles, CA
Alonzo L. Plough, PhD, MPH , Department of Public Health, Los Angeles County, Los Angeles, CA
Danny Huang, MPH, MHA , Department of Public Health, Los Angeles County, Los Angeles, CA
David Henkel , Department of Public Health, Los Angeles County, Los Angeles, CA
Events such as the Pandemic Influenza have demonstrated that data collection systems are critical to managing a Public Health response. In order to collect, analyze and report data to the EOC, Los Angeles County Department of Public Health (LACDPH) utilizes a unique strategy that leverages common infrastructure of two competing technologies.

During an emergency, LACDPH will utilize a PDC system that will be available to the public thorough the county website. Clients could complete and submit an online form that collects demographic and medical screening information. The data is securely transmitted to the County database and clients are provided with a record locator. Clients can then go to any County point of dispensing (PODs). Staff at the POD enter the record locator number into a secure browser based application, retrieve client data, complete the clinical portion of the form prior to proving the contraindication and submit the document electronically to the central data repository.

Given that the elderly, the poor and the homeless may not have access to the form electronically, LACDPH coupled PDC with an OCR system. Clients arriving at the POD without electronic record locators can fill out OCR forms that collect demographic, medical screening and clinical information. All forms are scanned using the OCR System that convert hand written text into digitized characters and import data into the same central data repository.

The system generates reports for presentation to decision makers based on demographics and vaccination information to ensure effectiveness of their outreach strategy.

Learning Areas:
Biostatistics, economics
Systems thinking models (conceptual and theoretical models), applications related to public health

Learning Objectives:
1. Evaluate the feasibility of using Direct Electronic Client Data Entry to collect, manage and analyze data during a large scale emergency. 2. Evaluate the feasibility of using Optical Character Recognition (OCR) Technology to collect, manage and analyze data during a large scale emergency. 3. Demonstrate the need for rapid data collection and assessment in order to guide decision making during a large scale emergency.

Keywords: Data Collection, Decision-Making

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: Served as the lead developer for Los Angeles County Department of Public Health in the development of the Optical Character Recognition system and the Direct Data Entry system for the last three years.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.