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How Can Document Scanning Protect You From Swine Flu? By Mike Stuhley is the president of GoScan, Inc.
Part One: Technology for collecting data for the swine flu pandemic
It’s the biggest healthcare story of 2009. The World Health Organization has declared the swine flu pandemic the first in 41 years. In order to manage this crisis, the healthcare community will need to use technology to track patients and countermeasures in order to quickly analyze what is working and what needs to be changed.
Decision making for the flu pandemic requires information. Information must be gathered, processed, researched and reported. Fortunately there are simple, affordable technologies available to healthcare providers to help manage the information.
In part one of this two part article, we will take a look at collecting the data. In part two we will look at processing the data.
A word about volume
With the flu pandemic we are talking millions of patients in large cities or counties needing vaccination or treatment. Even in the smaller cities or counties the numbers will be big and turnaround will be tight. Dozens of data points about each patient will need to be collected at the time of treatment. The treatment centers will be spread out geographically in order to handle the volume of patient interactions. Before we look at any technology, let’s make sure it meets three basic criteria. In this case, any technology that is going to work for the flu pandemic has to be simple, affordable and scaleable.
Simple
A frequently heard joke in the computer industry is “System Error: Replace User and Press Any Key”. Users in this case are patients, doctors, nurses and other health care professionals. In a stressful situation, the last thing anyone needs to worry about is which button to press. Whatever technology is used to collect data has to be simple enough so that thousands of people with limited computer skills will be able to us it with no training and no helpdesk support.
© As published on Healthcare Technology Online, September 23, 2009
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