Design Your Data Sharing Inside-Out

Posted by Mohamed Alkady on Feb 25, 2019 9:30:00 AM
Mohamed Alkady
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Sharing records is not anything new in healthcare, albeit most are still faxed when you go to one doctor vs another or electronically sent using CCDA or if you are fortunate to have an integrated system they may be passed through an internal viewer.

When systems work to setup their data sharing, or an ACO or CIN is getting started one of the most common approaches is they first reach out to all their provider groups to sign a data sharing agreement and then they begin to collect their data and in return at some point in the future they will share that.

It's time to change that approach.

DataSharingIntegrate your own data first

The first step, even before data sharing agreements, is to integrate your own systems data and bring all your data into a central place that is a living, breathing and real-time data set you can utilize.

By doing this it will help create value for your own internal organization, as well as get your teams familiar with the process and implementation plans required to do this work.

You can also realize the most value by integrating your own data set before you begin to integrate others.

Give access to your data

When working through data sharing agreements, immediately give them access to the data you have. Often systems will first ask for data then share data back, instead do the opposite.

By giving access to data on initial sign you will motivate your provider to share data with you and you will also improve patient care immediately as its data this provider never had access to in this form before.

This level of commitment helps ensure that the party you are sharing with knows your are serious about sharing and will not be shy to help exchange data.

Collect data from other sources

After you share data and everything is in order you can now begin to project plan integrating the providers data from their system to yours. In addition to all the other sources you have one by one you can begin the phased approach of collecting that data.

If for some reason the data that comes in is only collectable, say for instance labs you can start to collect those in parallel with providers that would gain benefit, this again shows trust and proof to your other parties that you are committed to sharing data.

Continuously release

Rather than holding on to data sets for long periods of time or waiting to release the data try to instead group your data into a release schedule. We recommend a monthly or bi-monthly release schedule (you could also do by quarter).

When getting ready to release data make sure you have your marketing team engaged and send out newsletters to all the connected parties so they can know that their deriving continuous value out of the shared data.

Topics: Data, Platform, Strategy