Empowering cancer care treatment protocol with a holistic data solution

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XDataHub Case Study

Problem Statement

Our client, a leading chain of comprehensive cancer treatment centers throughout India, excels in cancer screening, diagnosis, and a spectrum of treatments encompassing chemotherapy, radiation oncology, and onco-surgery. The client encountered a notable challenge in the effective exploration, aggregation, and mapping of the most recent cancer treatment protocols sourced from diverse publicly available outlets. The prevailing methods exhibited a lack of synchronization, impeding the optimal utilization of products for oncology screening, diagnosis, and treatment applications.

Our solution

To overcome these challenges, XDataHub, an established web scraping platform was employed to seamlessly automate the process, catering to the specific requirements of our client’s comprehensive cancer treatment centers.

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Real-time Treatment Protocol Updates: Used XDataHub to create customized bots that could provide instant daily data scraping from multiple medical sites, ensuring efficient and targeted data collection for cancer treatment protocols.

Dynamic Data Scraping for Clinical Trials: With the help of XDataHub’s pre-built bot, dynamic data scraping was done from various sources to gather information on ongoing clinical trials. This empowered the treatment centers to offer patients the latest experimental treatments, increasing the opportunities for participation in clinical trials.

Efficient Data Management: Employed the capabilities of XDataHub to efficiently manage and organize scraped data, ensuring its seamless integration into the treatment planning system. The well-integrated tools adapted, collaborated with other software systems and coordinated tasks effectively.

Enhanced Protocol Mapping: Based on the data being extracted, the downstream process of protocol mapping was done with the help of built-in LLMs available in XDataHub. Training sets were created to optimize the platform to enhance machine learning capabilities for better protocol mapping.

Large Volume Scraping: Scalable scraping solution of XDataHub was implemented to handle large volumes of data efficiently for the client’s cancer treatment protocols. Standard proxy solutions were incorporated to ensure adaptability to diverse regional structures and mitigate anti-scraping challenges.

Benefits

Timely Access to Treatment Protocols: Achieved a 30% reduction in the time required to access the latest cancer treatment protocols, ensuring timely application for patient care.
Increased Clinical Trial Participation: Witnessed a 25% surge in patient participation in clinical trials, expanding opportunities for patients to access advanced treatments.
Efficient Data Processing and Collaboration: Reduced data processing time from 8 hours to 2 hours, allowing for 40% more data to be processed daily. Facilitated a 20% improvement in collaborative workflows among multidisciplinary teams.
Scalable Data Handling: Accommodated a 50% increase in data volume with the scalable scraping solution, ensuring adaptability to diverse regional structures.