Reduce Hospital Readmissions by 29%

The Challenge Facing Australian Healthcare

As the Aged Care Act 2024 takes effect on November 1, 2025, Australian hospitals and aged care providers face unprecedented pressure to demonstrate coordinated, person-centred care during client transitions. The new legislation places a Statement of Rights at its centre and requires providers to take all reasonable and proportionate steps to act compatibly with it, a duty that matters most during the vulnerable post-discharge period.

Yet the current reality falls short:

• Between 7-18% of hospital patients are readmitted within 28 days
• COPD alone accounts for over 62,000 readmissions annually, the highest of any condition in Australia
• 41.3% of all readmissions occur within the first week post-discharge
• Each avoidable readmission costs the system $10,000-$15,000
• Total annual cost to the Australian healthcare system: billions in preventable readmissions

The Evidence-Based Solution

Structured telephone follow-up within 48-72 hours of discharge has been proven to significantly reduce readmissions in multiple Australian and international studies.

Australian Research: The HCF Study (2017)

International Validation

Multiple international studies support these findings:

• UK community nurse follow-up study: 41% reduction in readmissions
• US 22-hospital Care Transitions program: 38% reduction in 7-day readmissions
• Care Transitions Intervention study: 30% reduction in 30-day readmissions
• UK systematic review: Consistent evidence across multiple healthcare systems

What Makes These Calls Effective?

Research identifies six critical components of successful post-discharge telephone programs:

1. Medication reconciliation: Reviewing all medications against discharge instructions, identifying discrepancies, and ensuring client understanding of dosing and side effects
2. Early symptom identification: Systematic assessment of warning signs and complications before they escalate to emergency situations
3. Follow-up appointment confirmation: Ensuring clients have scheduled GP visits and understand the importance of attendance
4. Connection to community support: Linking clients to Support at Home services, community nursing, and other resources under the new Aged Care Act
5. Client education reinforcement: Reviewing discharge instructions, care plans, and self-management strategies
6. Timely clinical escalation: Immediate notification to clinical teams when red flags or urgent issues are detected

The Implementation Challenge

While the evidence for post-discharge calls is overwhelming, systematic implementation at scale has proven difficult for most Australian health services.

Why Traditional Manual Programs Fail

• Resource constraints: Require 2+ FTE registered nurses ($220,000 annually), telephone systems ($50,000 setup), ongoing training and quality assurance ($30,000 annually), and management overhead
• Coverage gaps: Human-staffed programs typically operate business hours only, missing the 24/7 nature of post-discharge complications (41% occur in first week)
• Scalability issues: Adding client volume requires proportional staffing increases, making programs expensive to expand beyond pilot phases. careplans AI can scale and complete tens of thousands of calls per day.
• Consistency challenges: Quality varies based on individual nurse performance, fatigue levels, experience, and workload pressures
• Deployment delays: Takes 3-6 months to hire, train, and implement manual programs, delaying benefits and compliance

The careplans AI Solution: AI-Powered Automation

careplans AI is an AI-powered voice platform designed to deliver, at scale, the follow-up protocols that produced a 29 per cent reduction in readmissions in the Australian HCF study, while addressing all traditional implementation barriers. International studies report reductions of up to 41 per cent.

The Financial Case: 400-Bed Hospital Analysis

Based on validated Australian hospital data (AIHW 2022-23), readmission rates (Australian Health Review), and the HCF study results, the modelled financial case for careplans AI is compelling.

Baseline Hospital Data

• Annual discharges: 40,000 (based on 109 separations per bed, AIHW national average)
• Unplanned readmission rate: 7.4% (per Australian Health Review study)
• Total annual readmissions: 2,960 clients
• Potentially preventable readmissions: 1,036 (35% of total, accounting for non-preventable causes like trauma, cancer progression)

Conservative Intervention Effect

Applying a conservative 22.5% prevention rate (below the HCF study's 29% and well below international studies showing 41% reduction):

• Readmissions prevented per year: 233 clients
• This represents preventing 1 in 4.5 potentially preventable readmissions
• Focus on intervention-responsive conditions: infections, medication errors, symptom escalation, inadequate follow-up

Financial Impact Breakdown

Three distinct sources of value:

Investment Required

• careplans AI platform subscription: $80,000-$120,000 per year (all-inclusive)
• Integration support: Included in subscription
• Training (clinical liaison): 2 hours
• Ongoing support and updates: Included

Return on Investment Summary

Alignment with Aged Care Act 2024

Effective November 1, 2025, the Aged Care Act 2024 fundamentally transforms Australian aged care, placing a Statement of Rights at its centre and creating new obligations for care coordination.

Statement of Rights (Section 14)

The Statement of Rights sets out that older Australians have the right to:

• Safe, quality care and support that promotes their wellbeing
• Care that is coordinated and meets their needs
• Timely access to care and support
• Be treated with dignity and respect

Strengthened Quality Standards

The Act is underpinned by seven Strengthened Quality Standards: The Person, The Organisation, Care and Services, The Environment, Clinical Care, Food and Nutrition, and The Residential Community. Four are directly relevant to post-discharge coordination:

Support at Home Program Integration

The new program provides quarterly budgets ranging from $2,750 to $15,860 for community-based care. Effective post-discharge coordination:

• Connects clients to funded home support services immediately upon discharge
• Prevents avoidable hospital readmissions that consume limited care budgets
• Ensures smooth transitions between hospital and community-based care settings
• Maximises the value of Support at Home funding through better coordination

Compliance Documentation

careplans AI automatically generates compliance documentation required under the new Act:

• Audit trails showing systematic follow-up of all eligible clients
• Evidence of timely escalation when issues identified
• Records of connections made to community support services
• Real-time dashboards demonstrating quality improvement over time
• ACQSC-ready reports for Quality Standards assessments

How careplans AI Works: Platform Overview

careplans AI combines artificial intelligence, natural language processing, conversation analysis, and evidence-based clinical protocols to deliver scalable, empathetic post-discharge care coordination.

Step 1: Intelligent Client Identification

Integration with hospital systems: careplans AI connects to existing client management systems via secure APIs, automatically importing discharge data in real-time.

Risk stratification algorithms analyze multiple validated factors:

• Age (65+ significantly increases risk)
• Number and type of comorbidities (especially cardiac, respiratory, diabetes)
• Length of stay (>2 days indicates complexity)
• Admission type (emergency vs. planned)
• Previous readmission history
• Living situation (alone vs. supported)
• Social determinants (access to transport, GP, pharmacy)

Automatic prioritisation: Clients are categorised into risk tiers (high, moderate, low) with corresponding call frequency schedules based on evidence

Step 2: Automated, Timely Outreach

Scheduling within the critical 48-hour window: Research shows 41% of readmissions occur in the first week, with the highest risk in the first 48-72 hours. careplans AI automatically schedules calls during this evidence-based timeframe.

• 24/7/365 availability: Unlike manual programs limited to business hours, AI operates continuously with no gaps, weekends, holidays, or after-hours coverage issues.
• Multilingual support: Natural language AI supports 11 languages, automatically detecting client language preference and conducting conversations accordingly, which is critical for CALD populations.

Step 3: Evidence-Based Conversations

Natural language AI conducts structured conversations following clinically-validated protocols derived from the HCF study and international research:

1. Medication reconciliation: "Can you tell me about the medications you were sent home with?" Identifies discrepancies, confusion, or non-adherence
2. Symptom assessment and red flag detection: "How are you feeling today compared to when you left the hospital?"
3. Follow-up appointment confirmation: "Have you scheduled a follow-up with your GP?" Confirms appointment date and time. Assesses transportation and access barriers. Provides reminders and support to ensure attendance
4. Connection to community support: "Do you have support at home for meals, medications, mobility?" Identifies gaps in social support. Connects to Support at Home services via an AI call, SMS or email (Aged Care Act). Facilitates referrals to community nursing, allied health, meals services

Step 4: Real-Time Clinical Escalation

When the AI detects urgent situations, it immediately escalates to human clinicians:

• Instant SMS alerts: Designated clinical staff receive real-time notifications with client details and concerning findings
• Structured reports: AI generates concise summaries highlighting key issues, symptoms, and recommended actions
• Severity-based routing: High-urgency alerts go directly to on-call medical staff; moderate concerns route to nurse coordinators
• Automated referrals: Based on protocols, system can trigger GP appointments, specialist consultations, or emergency services

Step 5: Continuous Learning & Reporting

Machine learning continuously improves the platform:

• Pattern recognition: AI identifies which client characteristics and responses most strongly predict readmission risk
• Conversation optimization: System learns which questions and phrasing elicit most useful clinical information
• Escalation refinement: Algorithms adjust sensitivity to reduce false positives while catching all genuine concerns

Real-time dashboards provide visibility:

• Readmission rates tracked by cohort, condition, risk tier
• Cost savings calculated automatically based on prevented readmissions
• Intervention success rates showing which clients benefited
• Compliance metrics for Quality Standards and ACQSC reporting

Safety Protocols & Regulatory Compliance

careplans AI is designed with client safety and regulatory compliance as foundational principles.

Ethical Safeguards

• AI disclosure: Every call begins with "Please note, I am an AI assistant conducting a follow-up call on behalf of XYZ organisation. I am not a substitute for professional medical care. If you need urgent assistance, hang up and call 000 immediately."
• No medical advice: System prompts are engineered to prevent diagnostic or prescriptive content. AI provides education and support but cannot recommend treatments or change medications.
• Human escalation: Urgent situations immediately route to human clinicians. AI cannot handle emergencies independently.
• Voice cloning disabled: While technically capable, the system does not use voice cloning to maintain transparency that conversations are with AI.
• Client consent: All clients provide informed consent for AI follow-up calls as part of discharge process, with opt-out available anytime.

Regulatory Compliance Framework

careplans AI is working toward certification in:

• ISO 27001: Information security management
• HIPAA compliance: Health Insurance Portability and Accountability Act (US standard)
• GDPR compliance: General Data Protection Regulation (EU standard)
• Australian Privacy Principles: National privacy standards
• ICH-GCP: International Conference on Harmonisation Good Clinical Practice (for clinical trial applications)

Data Security

• Australian data residency: All client data stored on Australian servers
• End-to-end encryption: AES-256 encryption for data in transit and at rest
• Access controls: Role-based access with multi-factor authentication
• Audit trails: Comprehensive logging of all system access and data changes
• Regular penetration testing: Independent security assessments
• HIPAA Business Associate Agreement: Available for US partners

Quality Assurance

• Call recording: All conversations recorded for quality assurance and training (with client consent)
• Random auditing: Clinical team reviews random sample of AI conversations for quality
• Outcome tracking: Readmission rates monitored continuously to validate effectiveness
• Continuous improvement: AI performance metrics reviewed monthly with clinical advisors

Evidence Base & References

Australian Research

1. Silva SA, Charon V, Maley M. Effect of post-hospital discharge telephonic intervention on hospital readmissions in a privately insured population in Australia. Australian Health Review 2017;43(2):218-226
2. McLoughney CR, Fitzpatrick K, Courtney E, et al. Factors associated with unplanned readmissions in a major Australian health service. Australian Health Review 2019;43(1):1-9
3. Australian Institute of Health and Welfare. Admitted patient care 2022-23: Australian hospital statistics. AIHW, 2024

Aged Care Act 2024

4. Australian Government Department of Health and Aged Care. About the new rights-based Aged Care Act. Available at: health.gov.au/aged-care-act
5. Aged Care Quality and Safety Commission. Strengthened Aged Care Quality Standards 2025

International Evidence

6. Harrison JD, Auerbach AD, Quinn K, et al. Implementing a Discharge Follow-up Phone Call Program Reduces Readmission Rates. Nursing Management 2023
7. Coleman EA, Parry C, Chalmers S, Min SJ. The Care Transitions Intervention: Results of a Randomized Controlled Trial. Archives of Internal Medicine 2006;166(17):1822-1828
8. Limpawattana P, Sansanayudh N, Sawanyawisuth K, et al. Reducing readmission rates through a discharge follow-up service. British Journal of Community Nursing 2019

Funding & Policy

9. Independent Health and Aged Care Pricing Authority (IHACPA). National Efficient Price Determination 2025-26

Frequently Asked Questions