Data is an absolute must when it comes to determining the impact, effectiveness or even competition of a certain drug. Data combined with analytics can help direct your commercializations and clinical plans at the doorsteps of your patient. <br /> <br />Oncology research requires gathering of precise data and conducting correct analysis for the same which makes the gathering of Clinical Data Analysis in Oncology an important step. <br /> <br />There are three building blocks in curating an effective Data Analysis Oncology strategy, they include: <br /> <br />(A) Data - A wide variety and volume of data. <br />(B) Platform - Collection of data from various platforms (EMR's, EHR's, Lab Reports, Inventories, Registeries, Mobile Health Devices, etc) <br />(C) Experts - People well equipped with the experience and knowledge to make use and sense of the data collected. <br /> <br />When we were approached to build an advanced analytics system, we put forward to them, a Custom Clinical Data Analysis Solution that was powered by Big Data, this set the ground for us to build a Medical Oncology based Automated Web Application that would focus primarily on three things: <br /> <br />- To generate surveys for oncological medicines. <br />- Share those studies with the respective healthcare providers. <br />- And compare their drugs performance against other popular oncology drugs. <br /> <br />To take a detailed look on how we integrated our solutions to build a customized clinical data analysis solution, read more at https://www.osplabs.com/case-study/data-analytics-for-oncology-pharma/
