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Integrated Healthcare System01:20

Integrated Healthcare System

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An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
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Nursing Clinical Information System (NCIS)
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Health Information Technology (HIT)
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Introduction To Health Care Delivery System01:18

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The healthcare system is constantly changing and complex. Various services are available from different healthcare providers, but gaining access to these services has become challenging for people with limited healthcare insurance. Uninsured people present a challenge to healthcare because they frequently postpone or forego treatment.
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At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
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Purpose of Health Records I01:11

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The vital purpose of health records is to provide a complete and accurate account of a patient's medical history, including communication, diagnostic and therapeutic orders, care planning, research, and quality review.
Here's a breakdown of how health records serve these purposes:
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Representing Knowledge Consistently Across Health Systems.

S T Rosenbloom, R J Carroll, J L Warner

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    Standardizing electronic health records (EHRs) data through common data models enhances research capabilities. This progress facilitates secure, high-quality clinical data sharing across institutions for broader scientific discovery.

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    Area of Science:

    • Health Informatics
    • Clinical Data Management
    • Biomedical Research

    Background:

    • Electronic health records (EHRs) are valuable for research and health applications.
    • A significant challenge is standardizing knowledge representation across diverse EHR systems.
    • Interoperability is crucial for leveraging EHR data effectively.

    Purpose of the Study:

    • To review knowledge representation in common data models for EHRs.
    • To assess standards supporting interoperable health applications.
    • To understand the landscape of standardized clinical data sharing.

    Main Methods:

    • Literature review of studies on OMOP CDM and PCORNet.
    • Review of Health Level 7 Fast Healthcare Interoperability Resources (HL7 FHIR) standard.
    • Analysis of efforts in quality-assured clinical data standardization.

    Main Results:

    • Significant growth in high-impact initiatives for standardized clinical data sharing.
    • Focus on three major efforts advancing shareable, transportable, and computable clinical data.
    • Development of common data models is increasing.

    Conclusions:

    • Advancements in common data models support interoperable knowledge representation.
    • Expect increased availability of high-quality clinical data for research.
    • Future data sharing will enable global research participation.