eHealthier stands out by offering:

• Seamless Integration: Fully integrates with leading clinical management and EMR systems.
• Custom PROMs/PREMs: Develops tailored Patient-Reported Outcome Measures and Experience Measures.
• Predictive Analytics: Anticipates health risks with advanced predictive modelling.
• Preventive Focus: Prioritises prevention, well-being, and whole-person health.
• Value-Added Services: Provides VBHC consulting, technical enablement, and educational resources.

eHealthier aligns with VBHC principles by:

• Focusing on Outcomes: Prioritises health outcomes and patient experiences through PROMs and PREMs.
• Predictive and Preventive Care: Uses predictive analytics to anticipate and prevent health risks.
• Personalised Care: Delivers tailored care pathways and health targets for each patient.
• Participatory Approach: Engages patients in their care journey for better outcomes and adherence.

This comprehensive approach ensures high-quality, cost-effective care for patients and providers.

eHealthier improves health outcomes by:

• Automated Data Collection: Gathers real-time patient data via PROMs, PREMs, and DROMs.
• Health Risk Stratification: Identifies and categorises patient risks based on collected data.
• Predictive Modelling: Anticipates potential health issues using advanced predictive analytics.
• Personalised Health Targets: Sets and tracks individualised health goals to encourage patient involvement.
• Real-Time Insights: Presents findings in real time to healthcare providers, enabling them to:
  • Develop optimised treatment and care plans,
  • Track progress and measure success, and
  • Amend treatments if necessary, preventing potential problems from occurring.

eHealthier optimises care pathways by:

• Automation and Integration: Fully automates data collection, including patient consent, and integrates seamlessly with existing systems and platforms. Automation is either rule or event-driven. For example based on patient location (e.g., waiting room) or specific medical conditions (e.g., diabetic with heart condition).
• Customisable Patient Journeys: Enables organisations to tailor the entire customer/patient journey with internal and external touchpoints to meet their unique needs.
• Predictive Analytics with Preventive Focus: Applies advanced predictive analysis to patient data, providing a decision facilitation system that encourages actions aimed at improving outcomes and reducing costs.
• Real-Time Reports and Dashboards: Offers real-time data dashboards and reports, shareable according to organisational requirements.
• Minimised Patient Dropouts: Reduces patient dropouts through excellent user experience, communication, educational resources, and personalised health targets.

eHealthier ensures the privacy and security of patient data through:

• Robust Privacy Measures: Implementing strict access controls and data anonymisation to protect sensitive information.
• Secure Infrastructure: Building on our partnership with AWS, leveraging state-of-the-art secure infrastructure exclusively in Australia Zone for data sovereignty.
• Advanced Encryption: Utilising end-to-end encryption to safeguard data during storage and transmission.
• Regulatory Compliance: Adhering to healthcare regulations like GDPR, HIPAA, and the Australian Privacy Principles (APPs).
• Regular Security Audits: Conducting routine security assessments to identify and address vulnerabilities.
• Secure Data Access: Enabling controlled and secure access of data among authorised personnel only.

eHealthier reduces operational burdens for healthcare providers by:

• Automation of Data Collection: Automatically gathering patient-generated data via PROMs, PREMs, and DROMs, on behalf of providers thus reducing manual input.
• Integration with EMR Systems: Seamlessly integrating with EMRs and clinical management platforms for efficient data exchange to eliminate duplicate entries.
• Familiar Tools: Integrating with existing systems, allowing healthcare providers to continue using familiar tools.
• Event-Driven Workflows: Automated workflows based on configurable rules, patient conditions and events (such as appointment reminders and consent solicitation).
• Custom Dashboards: Offers real-time dashboards and reports that facilitate better decision-making and actionable insights.

Absolutely. eHealthier seamlessly integrates with existing EMR and clinical systems to ensure comprehensive data sharing, enabling healthcare providers to access the insights within their existing environment, making the decision-making faster and more informed:

• Open APIs and Middleware: Utilising open APIs and middleware for smooth data exchange with your current systems.
• HL7/FHIR Standards: Adhering to HL7 and FHIR standards to ensure secure and efficient interoperability.
• Automated Data Collection: Automatically collecting and updating patient data, including PROMs, PREMs, and DROMs.
• Consistent Workflows: Maintaining familiar tools and workflows while benefiting from eHealthier’s advanced features.

eHealthier's predictive analytics work by applying the following on individual and population levels:

• Data Collection and Analytics: Collecting patient-generated data through PROMs, PREMs, and DROMs, scoring it with advanced algorithms, and correlating the findings with clinical data from EMRs and other sources to derive more informed insights.
• Risk Stratification: Analysing the data to identify patterns and categorise patient risk levels.
• Predictive Modelling: Using advanced machine learning and AI models to forecast potential health outcomes and identify high-risk patients.
• Decision Support: Providing actionable insights and recommendations to healthcare providers for proactive interventions.
• Preventive Focus: Emphasising prevention and early intervention to minimise complications and reduce costs.

eHealthier maximises patient engagement and reduces dropouts by:

• Personalised Communication: Delivering personalised communication, customised reminders and follow-ups, consent solicitation, and educational content to keep patients informed and engaged.
• User-Friendly Interface: Designing an intuitive and accessible platform that simplifies data entry and participation.
• Patient-Centric Design: Developing the solution with a patient-centric approach, aiming to maximise outcomes and enhance patient satisfaction.
• Target Setting and Tracking: Involving patients in their own health journey by setting and tracking gamified personalised health targets to encourage adherence.
• Educational Resources: Providing comprehensive knowledge base with ample educational resources to empower patients in managing their health.
• Early Dropout Detection: Identifying dropout patterns early and alerting staff to take necessary action.

Patient-Reported Outcome Measures (PROMs):
Standardised and validated questionnaires used to capture patients' direct feedback on their health status, symptoms, and functional wellbeing. PROMs provide insight into how a patient perceives their own health and quality of life, helping healthcare providers tailor treatments to individual needs.

Patient Experience Measures (PREMs):
PREMs are short questionnaires that collect direct feedback from the patients throughout their health care journey. It reflects their experiences with healthcare services, providing insights into satisfaction and the quality of care. PREMs cover aspects like communication, accessibility, and overall care quality, highlighting areas where services can be improved.

Device-Reported Outcome Measures (DROMs):
Data collected through digital devices such as wearables, mobile apps, and remote monitoring tools that track various health metrics, including activity levels, heart rate, and sleep patterns. DROMs offer objective insights that complement PROMs and PREMs for a more comprehensive view of patient health.

eHealthier helps manage chronic conditions more effectively by:

• Comprehensive Monitoring: Collecting data through PROMs, PREMs, and DROMs to track physical, mental, and Social determinants of health.
• Correlated Insights: Correlating patient-generated data with clinical and demographic information to uncover deeper insights where a chronic disease is identified.
• Personalised Care Plans: Developing tailored care pathways based on individual health goals and risk factors.
• Decision Support: Providing healthcare professionals with timely treatment feedback and actionable insights to continuously optimise the treatment and outcomes.
• Patient Commitment and Adherence: Encourages patient commitment and adherence to treatment through personalised communication, reminders, educational content, and personalised health targets.