Using NextGen Connect (formerly Mirth Connect) for Data Interoperability

Digital management in medical fraternity is one of the most underrated yet most crucial challenge of our times. Only in United States approximately 2,50,000 lives are lost every year to medical errors and half the cases involve mismanagement of medical data.

As the technological medical transformation is taking place, digital health data is more decentralized than ever. Managing multifold data through papers is impossible and online tools are modernization of healthcare management taking shape with multidimensional data interpolarity urging to replace the traditional methods.

Modernization of standards 

Digital health management is not limited to reports and medical history, but it covers vast array of medical vendors, pharmaceutical companies, and modernized parameters of medical instruments. This digital transformation produces huge amount of financial and mathematical data.

The benchmarks of interpolation by 2015 PEW Charitable Trust based on Avalere’s research gives a clear plan to managed healthcare.

It bases on five separate registries of medical data to bring sync in the overall structure.

  1. A common data model shared by public-private sectors.
  2. Volunteer services to supervise the synchronizing.
  3. A financial model for vendor’s profitability in the above.
  4. Syncing with third-party data registries.
  5. Bringing doctors and patients at ease with new order.

However, while the broader level of this phenomenon is taken care by such volunteer based service in a gradual development, the evolution of cloud technology plays a vital part to offer automation in digital health management.


NextGen Connect (Formerly Mirth Connect) services as a pioneer

Leading company that offers complete service for healthcare data would be NextGen Connect as per the recent developments. It offers a set of customized software development setup that aims specifically to such medical utilities for digital transformation, and follows the above standards.

Intense scientific measures and their inter-connections may deduce different results at the desk of a different expert, which is the first challenge that is resolved through those tools.

For example, in an addiction patient sudden growth in serotonin may be a drug revert but it may also be due to a painkiller. In both cases, the data will be compared to not only the history of immunity but his drug history, and recent behavior. Only in the second case it will focus only on the type and powers of painkillers prescribed.

As you see, the former case includes behavioral patterns less mathematical, so we need computer programs with a minimal level of intelligence to adjust according to the immunity and behavioral patterns. This come specially handy if the treatment involves multiple medical agency. One may well be simultaneously a former drug addict and have a fractured bone; in frequent cases both come prescribe.

NextGen Connect intakes the data from various sources, rectifies inputs to its patterns and gives the output in most accepted medical vocabulary along with alternate terminology. For special conditions needing special precaution there are special alerting that ring a bell if a mismatch gives an awry output. Therefore the input gets a recheck if an erroneous data is processed. ‘One Patient One Record ‘ across the medical systems is a great benefit of Mirth Connect.

This evolution of overall digital healthcare management gets more feasible when data collection from patients, labs, vendors, readings from medical instruments, frequency of services, schedules of doctor and nurses, their fees, and history is synchronized to appear in simple visual charts and graphs. Following the benchmarks, now  technology developed at NextGen Connect is growing into future of healthcare management.

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