FHIR Based Product Development and Consultancy

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health care FHIR HL7


Overview

DreamSoft4u combine the best features of FHIR product lines while leveraging the latest web standards to maximize interoperability, and applying a tight focus on implement ability. We can help you simplify implementation, while preserving data integrity.  Your data will be available, discoverable and understandable, while maintaining structure and standardization.

Features

Key factors for adopting FHIR:

  • Interoperability:Practices are already parsing lab, radiology and pharmacy information into the health record. Instant incorporation of medical records from other facilities will require a consistent language and formatting. HL7 and HL7 Rim have been the industry standard for the past 20 years, and FHIR intends to leverage the existing model of HL7 to reduce the amount of rework.
  • Discrete and consistent data:A key element will be to define discrete data elements that will transfer between facilities and software vendor products.
  • Metadata capability:Information needs to be accessible so that it can be used in exchanges with public and private payers to meet quality measures and forecast population health needs.
  • Human readability:Information transfers need to address automated processing while still offering a human readable format for immediate use.

Key benefits for FHIR adoption:

  • Immediacy of point-of-care treatment:Data spread over multiple practices and specialties can be accessed by all physicians providing care to a single patient, creating a more complete picture of all treatment plans and results. A complete EHR record can reduce unnecessary tests such as lab work and imaging and offer full medication history for more accurate prescribing.
  • Improved reporting: Patient care levels and outcomes within an organization will benefit from data that assists a practice to better assess its success in patient treatment plans, improves patient engagement strategies, provides better community outreach, improves patient outcomes and reduces the need for more critical care or hospital admissions.
  • Consolidation of data to serve all levels of healthcare analytics and regulatory requirements: New and changing requirements, such as population health, will require consolidation of all patients within an organization that share common elements and can be combined with other populations to give national or regional statistics.
  • Provides a framework for more scalable data advances: This comes via the use of existing language formats that will not incur the complete cost of replacing existing EHR systems.

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