227505 Matrix for selecting the best mobile-based system for public health surveillance

Monday, November 8, 2010

Wei Li, MD, MS , Global Public Health Informatics, CDC, Atlanta, GA
Ramesh Krishnamurthy, PhD, MPH , GAP, Centers for Disease Control and Prevention, Atlanta, GA
Scott J. N. McNabb, PhD, MS , Ncphi, DISSS, CDC, Atlanta, GA
Tadesse Wuhib, MD, MPH , Global Public Health Informatics, CDC, Atlanta, GA
Background: Effective public health decision making during public health emergencies or mass gatherings requires timely and accurate information from a variety of sources. Mobile-based systems (e.g., smart phones) for data collection, transmission, reporting, and analyses provide a faster, easier, and cheaper means to communicate standardized and shareable public health data for decision making. There is a need for a Matrix or comparative review of parameters like cost, training required, and travel because selecting the appropriate software remains a challenge.

Objective/Purpose: We developed a Matrix tool that assists health professionals in the selection of the appropriate software for standing up mobile-based public health surveillance.

Methods: We constructed the Matrix with four categories (technology, features, human capacity, and cost) and several attributes. We then performed an environmental scan to identify available commercial, open-source, or government sponsored software. Finally, we compared and categorized each software based on these attributes.

Results: Ten software programs were identified, and we made recommendations from our analyses of the attributes for each. This Matrix was then used to select a software program for a mobile-based infectious disease surveillance system used during the 2009 Hajj in the Kingdom of Saudi Arabia and during the recent Haiti earthquake public health relief effort.

Conclusions: Mobile computing technology can provide a rapid and accurate data flow for public health decision-making during mass gatherings or public health emergencies. The Matrix developed here provided technical, human capacity and other software selection factors for the successful development and deployment of mobile-based public health surveillance.

Learning Areas:
Communication and informatics
Public health or related organizational policy, standards, or other guidelines

Learning Objectives:
1. Compare and analyze the commercial, open-source, or government sponsored mobile-based software 2. Identify and list appropriate software for development of mobile-based public health surveillance 3. Describe and demonstrate mobile-based software strengths and challenges

Keywords: Information Technology, Utilization

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I oversee the development of the contents described in this paper.
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.