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Home › Solutions › Primary Care

Primary Care benchmarking solutions

Wed, 04/30/2008 - 11:58 — Iasist

In view of the recent improvement in diagnostic records systems, IASIST has developed a specific benchmarking approach for Primary Care centres.

Our PC benchmarking solutions allows incorporation of comparisons within the same health care network up to comparisons with other Primary Care Centres in other Spanish networks. Whether you are interested in a benchmarking system for a single Primary Care Team or you want an overview of your network of Centres, IASIST has a specific solution for you.

Determine the performance of your Primary Care Teams by comparing the results they obtain against the results shown by other Teams, adjusting the morbidity load differential of your populations by means of Adjusted Clinical Groups (ACG(r))

  • CPCR - Comparative Primary Care Reports
    At last there is a global benchmarking solution for Primary Care: from the global population snapshot to the results for Primary Care and Medical Teams, find out the results obtained once they have been adjusted for expected morbidity.

    Iasist offers a new benchmarking service to Primary Care administrating entities by introducing a system of indicators adjusted by case-mix, by means of the

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  • APCOST - Primary Care Cost Analysis
    Designed for entities with a good register of activity carried out for each patient, IASIST has developed an analysis framework which is easy to understand and communicate to find out the real costs of care, identify the deviations from the surrounding area and locating causal factors.

    Specially designed for organisations managing several Primary Care Teams (PCT), Primary Care Cost Analysis is our specific solution for monitoring the efficiency in different PCT.

    IASIST offers you a complete focus which compares a territorial reference with aspects such as the total cost of your PCT or the cost of different components such as pharmacy, image diagnosis, inter-consultations or lab requests, adjusting the expected populations at all times by means of the

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