Value-Based Care Management system - sample functional specs
A Value-Based Care Management system is complex, aiming to shift from fee-for-service to an outcome-driven model. Here are the functional specifications broken down by the components you've listed:
Functional Specifications for Value-Based Care Management System
I. Patient Attribution & Segmentation
A. Functional Requirements:
Data Ingestion & Integration:
The system shall integrate with various data sources (EHR/EMR, claims data, pharmacy data, lab results, patient-reported data, social determinants of health data, wearable device data) to acquire comprehensive patient information.
It shall support real-time and batch data ingestion from disparate systems.
It shall perform data normalization, cleansing, and de-duplication to ensure data quality.
Attribution Logic Engine:
The system shall implement configurable rules and algorithms for patient attribution (e.g., primary care physician relationship, majority of claims, geographic proximity, payer assignment).
It shall allow for multiple attribution methodologies to be run concurrently or sequentially.
It shall support manual override and approval processes for attribution decisions.
Patient Segmentation Engine:
The system shall utilize machine learning (ML) algorithms (e.g., clustering, predictive analytics) to stratify patients into risk categories (e.g., low, moderate, high risk) based on clinical, demographic, and historical data.
It shall identify patients with specific chronic conditions (e.g., diabetes, heart failure, COPD) or complex care needs.
It shall enable custom segmentation criteria based on user-defined rules and business needs (e.g., socio-economic factors, adherence to medications).
It shall automatically assign segmented patients to appropriate care programs.
Patient Profile Management:
The system shall generate a comprehensive 360-degree view of each patient, including demographics, medical history, medications, allergies, social determinants of health, risk scores, and care program assignments.
It shall allow authorized users to view and update patient profiles.
Reporting & Analytics:
The system shall generate reports on patient attribution statistics (e.g., number of attributed patients per provider, per program).
It shall provide insights into patient segment distribution and demographic breakdowns.
B. Non-Functional Requirements:
Scalability: Ability to handle a large and growing patient population.
Performance: Efficient processing of large datasets for attribution and segmentation.
Security & Privacy: Adherence to HIPAA, GDPR, and other relevant data privacy regulations. Robust access controls.
II. Assignment to Care Programs
A. Functional Requirements:
Care Program Repository:
The system shall maintain a centralized repository of defined care programs, including their goals, target patient populations, intervention strategies, and associated resources.
It shall allow for creation, editing, and deactivation of care programs.
Automated Assignment Rules:
The system shall automatically assign segmented patients to the most appropriate care programs based on their risk profile, chronic conditions, and other relevant criteria.
It shall allow for the definition of rule-based assignments (e.g., "all diabetics with high A1c go to Diabetes Management Program").
Manual Assignment & Override:
The system shall allow care managers or clinical staff to manually assign patients to care programs or override automated assignments.
It shall track reasons for manual assignments/overrides.
Capacity Management:
The system shall ideally consider the capacity of care teams and programs when assigning patients to prevent overload.
Notification & Workflow:
The system shall notify relevant care team members upon a patient's assignment to a program.
It shall trigger initial workflows associated with program enrollment (e.g., initial assessment tasks).
B. Non-Functional Requirements:
Auditability: Track all changes and assignments to care programs.
Usability: Intuitive interface for managing care programs and assignments.
III. Care Plan Definition Liaising with Clinical Teams
A. Functional Requirements:
Collaborative Care Plan Creation:
The system shall provide a collaborative platform for clinical teams (physicians, nurses, social workers, pharmacists) to define and customize care plans for individual patients or patient segments.
It shall support the use of standardized care plan templates based on best practices and clinical guidelines.
It shall allow for the creation of condition-specific care plans (e.g., congestive heart failure, diabetes).
Goal Setting & Measurement Integration:
The system shall facilitate the definition of both short-term and long-term care goals, including measurable targets (e.g., reduce HbA1c to <7%, increase activity level by X steps/day).
It shall link care goals to specific clinical quality measures.
Intervention & Task Management:
The system shall allow for the definition of specific interventions, tasks, and activities within the care plan (e.g., medication adherence checks, dietary counseling, physical therapy referrals, follow-up appointments).
It shall support assigning tasks to specific care team members with due dates and priorities.
Patient Engagement Features:
The system shall support patient-facing elements of the care plan, allowing patients to view their goals, tasks, educational materials, and progress.
It shall facilitate secure communication between patients and their care team (e.g., secure messaging).
Version Control & Audit Trail:
The system shall maintain version control for care plans, tracking all modifications and the users who made them.
It shall provide an audit trail for compliance purposes.
Knowledge Base Integration:
The system shall integrate with clinical knowledge bases and evidence-based guidelines to support care plan development.
B. Non-Functional Requirements:
Interoperability: Ability to exchange care plan data with EHR/EMR systems.
Security: Ensure confidentiality of patient data within the collaborative environment.
IV. Define Care Goals
A. Functional Requirements:
SMART Goal Definition:
The system shall guide users in defining SMART goals (Specific, Measurable, Achievable, Relevant, Time-bound) for patients.
It shall provide templates and examples for common care goals.
Progress Tracking against Goals:
The system shall enable tracking of patient progress against defined goals using various data inputs (e.g., lab results, vital signs, patient-reported outcomes, survey data).
It shall provide visual dashboards to display goal attainment and trends.
Alerts & Notifications:
The system shall generate alerts and notifications when patients are not progressing towards their goals or when a goal milestone is approaching.
Goal Revision & Archiving:
The system shall allow for revision of care goals as patient conditions change or as goals are achieved.
It shall support archiving completed or outdated goals.
B. Non-Functional Requirements:
Real-time Updates: Ability to reflect real-time changes in patient data impacting goal progress.
Configurability: Ability to customize goal types and tracking metrics.
V. Clinical Quality Measures
A. Functional Requirements:
Measure Repository & Management:
The system shall maintain a repository of standard clinical quality measures (CQMs) (e.g., HEDIS, meaningful use measures, MIPS/MACRA measures).
It shall allow for the definition of custom organizational-specific quality measures.
It shall support versioning and updates of measures.
Automated Data Extraction & Calculation:
The system shall automatically extract relevant data from integrated sources (EHR, claims, lab) to calculate CQMs.
It shall handle complex logic for measure calculation, including exclusions and exceptions.
Performance Dashboards & Reporting:
The system shall provide interactive dashboards to visualize performance against CQMs at various levels (individual patient, provider, care team, program, organization).
It shall generate auditable reports for regulatory compliance and internal review.
Drill-down Capabilities:
Users shall be able to drill down from aggregate measure performance to individual patient data to understand the underlying factors.
Gap Identification & Intervention Prioritization:
The system shall identify gaps in care based on CQM performance (e.g., patients overdue for screenings, uncontrolled chronic conditions).
It shall highlight patients who are negatively impacting overall measure performance, enabling targeted interventions.
Benchmarking:
The system shall support benchmarking against industry standards, peer groups, or historical performance.
B. Non-Functional Requirements:
Accuracy: High accuracy in measure calculation.
Performance: Efficient calculation of measures across large datasets.
Regulatory Compliance: Adherence to all relevant reporting standards.
VI. Build Care Coordination Journeys
A. Functional Requirements:
Workflow Engine & Automation:
The system shall provide a configurable workflow engine to define and automate multi-step care coordination journeys (e.g., post-discharge follow-up, chronic disease management pathway).
It shall support rule-based triggering of workflows (e.g., "on patient discharge, initiate post-discharge follow-up workflow").
Task Management & Assignment:
The system shall automatically generate and assign tasks to appropriate care team members based on the defined journey steps.
It shall support manual task creation and reassignment.
It shall allow for task prioritization and due dates.
Communication & Collaboration Tools:
The system shall provide secure communication channels for care team members (e.g., in-system messaging, secure email integration).
It shall support shared notes, alerts, and notifications within the care team.
It shall integrate with patient communication tools (e.g., patient portal, secure messaging).
Referral Management:
The system shall facilitate seamless internal and external referrals, tracking referral status and outcomes.
It shall integrate with provider directories.
Appointment Scheduling & Reminders:
The system shall support scheduling of appointments (internal and external) and send automated reminders to patients and providers.
Progress Monitoring & Escalation:
The system shall allow care team leads to monitor the progress of patients through their care journeys.
It shall trigger escalation protocols for tasks that are overdue or when critical events occur.
Documentation & Audit Trail:
The system shall meticulously document all interactions, decisions, and outcomes within the care coordination journey.
It shall provide a comprehensive audit trail for every action.
Patient and Family Engagement:
The system shall support features to keep patients and their families informed about their care journey steps and progress.
It shall provide access to educational materials relevant to their journey.
B. Non-Functional Requirements:
Flexibility: Ability to adapt to changing care models and clinical guidelines.
Integration: Seamless integration with existing clinical and administrative systems.
User Experience: Intuitive and efficient for care managers and clinical staff.
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