mibioLogoSQUARES

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EXAMPLE ONE

the CHALLENGE

In the medical device industry, compliance with EU Medical Device Regulation posed significant challenges. Vital product information was scattered across digital and paper formats, leading to inefficient retrieval processes and potential data misinterpretation. Remote access to documents was limited, exacerbating delays. Moreover, the absence of version control for digital files and reliance on manual data entry heightened the risk of errors, impacting operational efficiency and compliance.

the OUTCOME

To address these challenges, we swiftly digitized manual paper files, reducing retrieval and digitization time from years to months. Our AI algorithms extracted insights, while taxonomies and dashboards streamlined data access. Personalized taxonomies further optimized data organization and retrieval. Establishing data lake connections minimized costs and fostered collaboration. This approach tackled inefficiencies and enabled efficient, compliant, and data-driven operations.

helpful FEATURES

Integrated new terms for AI's continuous learning.

Reduced document lookup times, enhancing efficiency.

Fostered collaboration with personalized dashboards.

Enhanced connectivity for improved data management.

Minimized errors for compliant decision-making.

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EXAMPLE TWO

the CHALLENGE

A renowned medical publisher faced challenges managing content discrepancies and optimizing user engagement. Discrepancies between new and older articles and the absence of metadata and keywords in older publications hindered search features and user discovery. Inadequate engagement tracking made it challenging to determine if users were finding relevant materials, while the absence of database mapping resulted in potential data gaps. Moreover, manual taxonomy development without database integration led to inefficient application across databases.

the OUTCOME

Mibio IQ addressed these challenges by enhancing the publisher's taxonomy, extracting metadata using AI, and applying ML and DL algorithms to create uniform tags for older publications. We developed an intuitive dashboard for administrators to visualize data, identify gaps, and track trends effectively. A separate database connected through Mibio IQ's API also facilitated the seamless connection to missing data within existing databases.

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helpful FEATURES

Unified content quality by eliminating discrepancies between new and old articles.
Enhanced search with added metadata, keywords, and tagging.
Improved user experience by tracking engagement more effectively.
Addressed data gaps through comprehensive database mapping.
Streamlined taxonomy for better content organization and discoverability.

Computer Programming

METADATA

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EXAMPLE

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