Development of a Patient Census Management and Reporting System for Value-Based Healthcare Improvement

The healthcare provider faces challenges in reliably tracking admitted and discharged patients due to inconsistent data submissions, inaccuracies, and incomplete records across multiple facilities. These issues hinder effective patient flow management, increase readmission rates, and reduce care quality. System failures and unreliable data sharing impede timely intervention and decision-making, impacting care continuity and operational efficiency.

A mid to large-sized healthcare network operating multiple hospitals and clinics, seeking to optimize patient care coordination and compliance through advanced data reporting and analytics.

• Implement a comprehensive patient census reporting module to consolidate data on admitted and discharged patients across multiple facilities.
• Improve data accuracy, completeness, and timeliness to enable reliable tracking of patient episodes.
• Reduce patient readmission rates by enabling follow-up reminders and identifying high-risk patients.
• Support care coordination by highlighting data errors, enabling manual data correction, and creating missing care events.
• Enhance the ability to monitor and analyze patient flow, health history, and care episodes for better clinical decision-making.
• Improve healthcare quality metrics such as HEDIS scores to meet contractual and regulatory benchmarks.
• Provide interactive data visualization, filtering, and error detection features for ease of use and actionable insights.

• Collection of all episodes of care from multiple facilities with rule-based mapping and data cleansing.
• Linkage of care episodes to individual patient profiles to maintain complete patient histories.
• Generation of detailed patient census reports showing personal information, health history, admissions, readmissions, and discharge data.
• Visual dashboards allowing data visualization, filtering, and sorting for actionable insights.
• Error highlighting for incomplete or inconsistent data entries to prompt correction.
• Manual creation and editing of care events to address data gaps and improve accuracy.
• Automated reminders for follow-up visits within 7-14 days post-discharge to reduce readmission rates.

• Electronic health records (EHR) systems for clinician-entered data submissions
• Health information exchanges for data sharing between facilities
• Notification systems for follow-up reminders and alerts

• Scalable architecture supporting data from multiple facilities with potential data volume growth
• High data accuracy and validation mechanisms including error detection and manual correction workflows
• Secure handling of sensitive patient data complying with healthcare privacy regulations
• System availability targeting 99.9% uptime to ensure continuous access and reporting
• Performance optimized for large datasets to generate reports within seconds

The new patient census management system is expected to significantly enhance data reliability and operational efficiency, enabling real-time tracking of patient care episodes across all facilities. It aims to reduce readmission rates through timely follow-ups, improve care continuity, and elevate healthcare quality scores like HEDIS. The system will empower clinical and administrative teams with actionable insights, ultimately leading to better patient outcomes, optimized resource utilization, and stronger contractual performance metrics.