Predictive Analytics Models in Vet Med

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  • 15 May 2019 5:17 AM
    Reply # 7342413 on 6420885
    Kash Kuruppu wrote:

    Hello Eli,

    I very much appreciate your interest. Your observation is correct in that most veterinary analytics providers have solutions based on business measures rather than clinical measures. There are three main reasons for this:

    1. Health data is not standardized and data is stored within independent databases that are difficult to integrate. 

    2. Health data is complex. There is unique and redundant information collected by various care providers and stored in a variety of formats.

    3. Health analytics require access to patient records while maintaining confidentiality and privacy of patients.

    One of CDI's approaches to address these concerns is by providing a self-service platform to swine practitioners. Users onboard existing swine health data that they would like to analyze using our pre-built, swine health-focused algorithms   without having to share data with a third party. This app allows swine practitioners to manage risk and minimize losses by early detection of disease processes.

    If you are interested in learning about similar services, Verinovum is a service that provides a data enrichment and interchange platform for human patient data. AgConnect mHealth is a veterinary focused tool for collecting and reporting syndromic data. 

    Please feel free to get in touch with me directly at if you have further questions. 

    Kash Kuruppu, DVM

  • 15 May 2019 5:18 AM
    Reply # 7342415 on 7280273
    Mariam Divine wrote:Google it

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