Make data science your competitive advantage

Health providers and pharma companies are facing steep hurdles as value-based care alters the healthcare landscape, but companies that embrace innovation and digital transformations have a better chance of surviving. Aculyst’s offers data science consulting services for CIOs, CDOs at hospitals,  and pharmaceutical organizations who are looking to implement solutions to solve specific “business use cases” by leveraging Big Data, Machine Learning and Data Science. Explore what’s possible with data science and let Aculyst provide a complimentary strategy session call with your management team.

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
data-science-capabilities-aculyst

New clients

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