Predictive analytics is rapidly gaining ground as a powerful tool to gain deeper insights from diverse healthcare data sources, including EHR, claims, medical devices, lab, pharmacy, and new data sources like consumer apps, genomics, etc. Predictive analytics models give healthcare organizations - providers, payers and life sciences companies - an opportunity to generate valuable insights to design population care programs, reduce readmissions, make early clinical interventions, and move towards greater evidence-based medicine.
Effective predictive analytics requires highly specialized teams with specialized capabilities, including software development, data integration, BI/DWH skills, data science, predictive modeling. Managing such niche, highly-specialized teams is challenging and expensive for most organizations. In addition, organizations need to invest in new technologies and tools for statistical analysis, predictive modelling, data warehousing, and data quality management.