The high value of data mining in healthcare is its ability to help health systems improve patient care while reducing costs. It does this by finding inefficiencies and improving methods through systematic data use. Current expert projections indicate that as much as a third of healthcare spending could benefit from data mining.
In What Areas Can Data Mining Help?
Medical data mining can provide measure analytics and metric data specific to patients, assisting organizations in consolidating data, closing gaps and making the reports necessary for MSSP/MIPS quality initiatives, federal registries, payor outcome reporting and research projects.
Such data can include:
• MSSP Qality Measures
• MIPS/APM Measures
• CathPCI/AFIB/Device Data
• AHA/GWTG
• Remote Monitoring
• Orthopedic Registry
• Clinical Research Data
How the Process Works
Medical data mining involves several steps:
• The process starts with data from such sources as dictation, paper-based information and hospital and practice EHR systems sourced in a secured environment.
• A search finds all relevant measure data elements.
• Quality assurance measures implemented throughout ensure accuracy of data.
• All data elements are captured back to healthcare organizations for submission to reporting or registry bodies.
Abstraction and Data Mining Services for Healthcare
Teams of medically-trained people at data mining services can provide cost-effective solutions for healthcare organizations, hospitals and providers, allowing them focus on the part that matters the most – quality care for patients.
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