Most health organisations face issues in healthcare data integration and two-way interoperability due to siloed approach of healthcare providers in maintaining clinical, claims, laboratory, and pharmacy data with every provider maintaining their version of Health IT Infrastructure. It’s a cultural change and new healthcare models are trying to break this barrier by integrating as many systems as they can.
From a technology perspective, data is sourced from a myriad of systems with varied levels of sophistication, accessibility, transparency and quality. The existing systems that are prevalent are on ‘black box’ models and pulling data from them can range from merely difficult to downright arcane. On top of that, between payers, providers and patients, the opportunities to combine data sets can far exceed the willingness or ability of all parties to collaborate. Add to that the poor state of healthcare data integration tools, and you have quite a challenge to make sense of the health care puzzle.
Datashop solves all of these problems and is built for a flexible and interoperable unified data system with it being the single source-of-truth for any analysis, reporting, or visualization. The solution offered is on the anti-black-box model and can interoperate with any technology both at the source and also at the destination site.
Datashop as a platform provides the support to integrate data from various black box EMR systems into a single standardized data-lake. From this data lake Provider Networks or Payers can use the data for the purpose of interoperability, transferring the data between the different EMR systems installed at the various providers in the networks.
This data platform is built with a difference. Its robust framework makes it iOS equivalent of Big Data for all developers and at the same time single point-and-click platform for managers abstracting out all coding layers from them and providing an enriched and flexible Big Data experience. It not only acts as a Big Data Warehouse but also goes one step back and beyond. It’s got intelligent layers to perform data integrations, cleansing, and transformation which otherwise become a tiring and manual task.
Datashop can also handle complex analytical modules like Machine Learning, Optimization, and Time-Series Forecasting. This can be tailored for specific use-cases like Readmission Prediction, Risk Analytics and Sepsis Detection. Furthermore it comes with in-built visualization layers powering you to design your own synthetic KPIs, dashboards, and views which comes with user management and HIPAA compliant security controls
Key Benefits of Using Datashop
- Two way Interoperability will no longer be a myth
- Quality reporting will no longer be a struggle
- Achieve the HIE Connectivity
- Security and user management
- Physical and Behavioral Integrated and Coordinated Care
- Clinical and Claims Integration will be done smoothly
If you think it’s too good to be true, find it for yourself. Click here and learn more about Datashop and its functionality.
You can now also download our latest whitepaper on Data Integration.
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