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Updated: Feb 6, 2026

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo
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Thanks for sharing.

Alison Moore

    The Health Service Journal
    |August 9, 2018
    PubMed
    Summary
    This summary is machine-generated.

    Health and social care organizations collaborated to break down data silos. Pooling information enabled more effective targeting of services for improved patient outcomes.

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    Area of Science:

    • Health Services Research
    • Public Health Policy
    • Data Integration

    Background:

    • Traditional health and social care systems often operate in isolated 'silos'.
    • This fragmentation hinders effective communication and data sharing between organizations.
    • Lack of integrated data impedes comprehensive patient assessment and service planning.

    Purpose of the Study:

    • To investigate the impact of data pooling across health and social care sectors.
    • To overcome the 'silo' mentality hindering integrated service delivery.
    • To enhance the effectiveness of targeted health and social care interventions.

    Main Methods:

    • Formation of a collaborative network between health and social care providers.
    • Development of protocols for secure and ethical data sharing.
    • Implementation of joint data analysis to identify service gaps and needs.

    Main Results:

    • Successful integration of previously disparate health and social care datasets.
    • Identification of key areas where collaborative service targeting yielded significant improvements.
    • Demonstrated reduction in service duplication and increased efficiency.

    Conclusions:

    • Collaborative data pooling effectively dismantles 'silo' mentalities in service provision.
    • Integrated data facilitates more precise and effective targeting of health and social care services.
    • This approach offers a scalable model for improving coordinated care and patient outcomes.