(ABOUT)Data Science for Medical-related Information
We design and conduct objective analyses using a wide range of medical information, including medical receipts, DPC receipts, electronic health records, patient-reported outcomes (PRO), survey data, personal health records (PHR), and social networking service (SNS) data.
- For those with the following challenges:
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Challenge 1
Want to maximize the value of research outcomes!
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Challenge 2
Want to reliably proceed from research planning to publication!
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Challenge 3
Not sure where to start in creating such evidence?
Data scientists who have supported numerous evidence generation projects will help solve these challenges!
(BENEFIT)Features of the Data Science Consulting Business
(CASE STUDY)Examples of projects
Estimation of the social and economic burden of rare disease P based on survey data and government statistics
We clarified the medical costs for rare central nervous system disease P, the cost of obtaining materials needed for patient care, and the caregiving burden and productivity loss for families. We appealed for the importance of developing and approving new drugs.
Claims data analysis on the actual use and effectiveness of therapeutic drug A
We demonstrated with real-world data that therapeutic drug A, when used in guideline-recommended appropriate doses, yields the expected therapeutic effects. We emphasized the importance of using appropriate doses.
Exploration of early indicators aimed at early diagnosis of pancreatic cancer using EMR data analysis
Aiming for the early detection and diagnosis of pancreatic cancer, which is known to be one of the most difficult to diagnose, we attempted to extract distinctive features using neural network analysis from diagnostic and treatment information obtained in the electronic medical record database.