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FHIR-47583: Plain Language Summary about HL7 and this Guide to the Home Page. #5

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FHIR-47583: Plain Language Summary about HL7 and this Guide to the Home Page. #5

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9 changes: 5 additions & 4 deletions summaries/hl7.fhir.us.qicore.md
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This standard, known as QI-Core, aims to improve healthcare quality measurement and clinical decision support in the United States. It defines how specific types of health data should be structured and shared for quality improvement purposes.
QI-Core is a collection of definitions and profiles that facilitates the sharing of information across healthcare. It provides guidance on the structure of data to be used in healthcare systems that support Clinical Decision Support (CDS) and Quality Measurement. Since QI-Core is based on US Core and FHIR resources, it is also able to support use cases outside of CDS and quality measurement.

QI-Core is particularly useful for organizations developing quality measures and clinical decision support systems. It provides a common framework for defining data elements needed to calculate quality measures, making it easier to develop and share these measures across different systems. It also ensures that clinical decision support systems can access and interpret patient data consistently.
Clinical decision support (CDS) and quality measurement are two key parts of healthcare that work together to enhance patient care:

The standard focuses on commonly collected clinical data elements relevant to most quality improvement applications. It introduces specific ways to represent situations where an action or event did not occur, which is crucial for accurate quality measurement. QI-Core also mandates the use of standardized vocabularies for specific data elements, promoting consistency.
- **Clinical decision support (CDS)** tools help healthcare providers make better choices about patient care. They offer information, reminders, and guidelines right when doctors, nurses, and others need them.
- **Quality measurement** involves checking how well healthcare services are working. It may include looking at whether treatments are effective, if patients are happy with the care they received, or if there are mistakes in the care provided.

Key beneficiaries include measure developers, clinical decision support system creators, healthcare providers, and indirectly, patients. Researchers may also find QI-Core useful for quality improvement and population health studies. The standard aligns with [US Core](https://build.fhir.org/ig/HL7/US-Core), supporting compatibility with existing US healthcare data standards.
Together, CDS and quality measurement ensure that patients receive the best possible care.