How to develop a safe and scalable COVID-19 screening types transcribing workflow

With the current rise in covid cases throughout the United States, covid test websites are being established across the country at record speed. The screening websites work by partnering with a laboratory center, and administering tests within neighborhoods daily. When the tests are carried out, they are sent out for processing to a laboratory. There are 2 parts to each test: 1) the laboratory sample, and 2) a type with individual details about the client (e.g. very first name/last name/dob/phone number).

The client type is often completed digitally through an iPad, however most of the time it’s an easy paper filled out by hand. And at the end of the day, all this details needs to be transcribed into a stand out spreadsheet.

Wondering why types require to be transcribed at all? Well, structured information of the client’s info is needed as soon as the tests have actually run in order to alert the client of these tests leads to an automatic style (e.g e-mail or SMS).

Transcribing patient kinds at scale: requirements

There are a couple of difficulties and requirements to by hand transcribing a high volume of delicate files each day (3,000 to 20,000).

1) Team cooperation: You require a procedure for parallelizing the work in between a group of individuals, with functions such as auto-assignment.

2) Data quality: You require a QA procedure to guarantee information is precise prior to being utilized downstream.

3) File security: Individual representatives should not need to download delicate PDFs on their computer.

4) Handling delicate client information: Using the concept of least opportunity, specific representatives need to just have access to delicate details needed for the job at hand. When a file has actually been transcribed, it must not be readily available any longer.

Our toolset for constructing the workflow in no-code

We will develop a total option utilizing a mix of Flowdash, Zapier, and Google drive.

1) Scanned PDFs will be submitted to google Drive

2) A Zap will produce one job per file in Flowdash

3) Flowdash will handle the transcribing coordination.

Hope you take pleasure in the video and please leave any concerns you have!

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