Patient/Provider Analytics
Profile Code: AL-HLT-03
- ₹6 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 10 Weeks
Skills You Learn: Healthcare Analytics | Patient Journey Analysis | Provider Performance Analytics | Data Analysis | Predictive Analytics | Population Health Management | Advanced Excel | SQL | Power BI & Dashboards | Data Visualization | Statistical Analysis | Healthcare KPI Reporting
Overview Video
About This Course
Patient/Provider Analytics improves experience and provider performance using scorecards and journey analytics. Analysts combine operational, clinical, and feedback data to track KPIs (wait time, TAT, readmissions, satisfaction) and identify friction points in patient journeys. Tools include Excel/BI and sometimes SQL. The role suits candidates interested in healthcare operations and quality improvement.
Course Content
3 modules · 10 weeks · 2hrs/dayEDC (Rave etc.) Course
The **EDC (Rave etc.) Course** covers basic to advanced concepts for Patient and Provider Analytics professionals in the Healthcare and Life Sciences industry, including Electronic Data Capture (EDC) fundamentals, Medidata Rave navigation, study setup, electronic Case Report Forms (eCRFs), patient enrollment, visit scheduling, clinical data entry, query management, discrepancy resolution, source data verification, protocol compliance, audit trails, data validation, coding standards, clinical workflow management, reporting, regulatory documentation, database lock procedures, integration with clinical systems, and data quality management to ensure accurate clinical research, patient analytics, and regulatory compliance.
Excel Course
The **Excel Course** covers basic to advanced concepts for Patient and Provider Analytics professionals in the Healthcare and Life Sciences industry, including workbook management, formulas, functions, data validation, sorting, filtering, conditional formatting, Pivot Tables, Pivot Charts, XLOOKUP, INDEX-MATCH, Power Query, Power Pivot, patient data analysis, provider performance tracking, healthcare KPI reporting, statistical functions, dashboards, What-If Analysis, Solver, VBA automation, data visualization, MIS reporting, trend analysis, operational reporting, and interactive dashboards to analyze healthcare data, improve patient outcomes, and support evidence-based clinical and operational decision-making.
SAS/SQL Course
The **SAS/SQL Course** covers basic to advanced concepts for Patient and Provider Analytics professionals in the Healthcare and Life Sciences industry, including SAS programming fundamentals, SQL database concepts, SELECT queries, joins, data import, data cleansing, data manipulation, PROC SQL, statistical analysis, clinical data extraction, patient outcome analysis, provider performance reporting, predictive analytics, regression analysis, data validation, regulatory reporting, reporting automation, dashboard-ready data preparation, model development, and large dataset management to analyze healthcare and clinical research data for informed medical, operational, and regulatory decision-making.
Key Responsibilities
- Analyze patient and provider data to identify trends and outcomes
- Monitor patient journeys and healthcare utilization patterns
- Evaluate provider performance and operational efficiency
- Develop dashboards and reports on patient and provider metrics
- Conduct segmentation and predictive analytics
- Measure quality of care and patient satisfaction indicators
- Support population health and care management initiatives
- Identify opportunities to improve healthcare delivery and engagement
- Collaborate with clinical and business teams
- Provide data-driven insights to enhance patient outcomes and provider performance
Growth Path
Tools Used
Perfect For
Healthcare Management Graduates | Public Health Professionals | Life Sciences Professionals | Clinical Operations Professionals | Data Analysts | Hospital Administrators | Healthcare Consultants | MBA Graduates | Health Informatics Professionals | Early-Career Healthcare Analytics Aspirants
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
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