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SATI

a registered company on March 31st, 2022, emerged from the transformation of Thai Sati Partnership Limited.
Our primary objective is the development of pre-built software solutions in the field of medical technology. Our establishment stems from a profound understanding of the intricate and demanding work challenges encountered by medical personnel within hospital settings.
Consequently, as a health tech startup, our mission is to create an innovative AI-driven operational system that enhances the medical service ecosystem.

About

    Address

    No. 125/3 Rim Klong Irrigation Road, Suthep Subdistrict, Mueang Chiang Mai District, Chiang Mai Province 50200

    Team size

    5-20

    Business Model Type

    b2b, b2g

    Founded Date

    Mar 31 2022

Details

    Operating Status

    Active

    Industries

    Legal Name

    Sati Co., Ltd.

    Company Type

    Profit

    Business Model (Problem)

    Hospitals in Thailand are facing deep-rooted problems that are causing significant financial losses. These problems include lost revenue from reimbursement claims and being forced to refund money due to incomplete medical data. One of the main causes of incomplete medical data is inaccurate or incomplete medical record, starting with the treatment process and extending to the provision of information that does not meet reimbursement criteria. Additionally, errors made by medical coders before submitting claims to Social Security, Universal Health Coverage and Government or State Enterprise Officer contribute to these problems. These issues not only create financial strain for hospitals but also hinder their ability to utilize data for informed policy decisions.

    Business Model (Solution)

    Implement an artificial intelligence (AI) system to assist in verifying medical record data and ensuring the completeness and accuracy of billing information. This includes validating diagnosis codes, procedure codes (ICDs), various test results, medications, and medical supplies. The system will provide guidance and alerts based on data extracted from the hospital's database and integrated with the hospital's electronic medical record (EMR) system. The system will summarize the data and send it to Medical Coders for further review and confirmation before submission for reimbursement. This will enhance the efficiency of billing for all insurance plans and treatment modalities, reduce the workload of Medical Coders, and minimize the risk of recoupments due to coding errors.

    Current Customer

    1. Hospital 2. Insurance Unit 3. HealthTech or Heath data company

Contact

Funding Rounds

    Number of Funding Round

    0

    Total Funding Raised (USD)

    0

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    Announced Date

    Transaction Name

    Investor

    Money Raised

PEOPLE

CEO

Orthopedic department, Faculty of Medicine, Chiang Mai University

Contact

CTO

Medical Informatics, Basic & Advance ICD-10 Coding, Certification of SNOMED-CT Foundation Course

Contact
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