Most would agree that the healthcare industry is overpriced and inefficient. For example, many of the treatments people receive are based on inaccurate diagnosis, and of little help. Data Science can help physicians make better treatment decisions and recommend more effective preventative care.
Our data scientists incorporate machine learning data analytics, software engineering, predictive and business analytics expertise and technologies to retrieve and transform Big Data.
We provide the following services in data science consulting partnerships :
- Predictive modeling
- Advanced statistical analysis
- Machine learning
- Data mining
- Embedded analytics
- Unstructured Data Management
- Large data volumes
- Complex data integration
- Industry-specific research
- Business processes analysis
We offer new clients a discovery phase that will allow us to dive into your data, advise on data platform upgrades, and assess the feasibility of the various opportunities you’re considering before you decide where to make investments. This allows us to learn what is possible with your data as well as assess your data pipelines, warehouses, and analytics strategy. This type of detailed insight into your data and structures gives us a better advantage to clearly define projects with well-understood milestones, deliverables, costs, and expected ROIs.
Healthcare Enterprise clients with data science projects underway
Within the healthcare industry, the following cases may be significantly improved as a results of the application of data science to each of the following issues.
- Claims review prioritization
- Fraud Detection
- Medical resources allocation
- Alerting and diagnostics from real-time patient data
- Prescription compliance
- Physician attrition
- Survival analysis
- Medication (dosage) effectiveness
- Readmission risk