Thursday, November 29, 2018

4 tips to ensure interoperability

The need to strengthen interoperability has always been a priority in healthcare enterprises. Here is a quick checklist for companies to guarantee healthcare data interoperability in their services. 

1) Defining interoperability 
Healthcare companies should establish a common definition of interoperability in statute. 

2) Information blocking 
Taxpayer-funded programs should support information blocking intended to exchange information. 

3) Standards 
Adopt industry-developed standards - based upon reference implementation models, promotion of open APIs and interoperability testing. 

4) EHR Marketplaces 
Physicians should have access to all relevant data about an EHR before deciding to use one in practice, including data on certification, decertification, penalties and information blocking incidents in a way that is usable and easily accessible to stakeholders. 

Monday, November 19, 2018

Custom JavaScript Functions and Power BI visualizations in Microsoft Excel

Did you know that Microsoft Excel supports custom JavaScript functions and Azure Machine Learning? The famous spreadsheet allows Power BI developers to export the custom visualizations from Power BI to Excel. The combination of these features enables developers to use their line-of-service apps to Excel. Deevita also delivers similar business intelligence solutions to benefit developers in the field of data reporting. 

Programmers can also write scripts with Visual Basic for Applications (VBA). Using JavaScript has some advantages, although not popular. One of them is the ability to connect to third-party services. And, the functions can also run on any platform. 

Thanks to the support from Azure Machine Learning, Excel users can apply the Machine Learning (ML) models of the organization. Building the ML models still dwells with the hands of computer science. But, with the current capabilities many users can consume those models easily. Considering that Excel is the most preferred platform for data exchange, integrating the ML models enhances productivity.