Comparative Field Studies

Through Helfie.ai field studies we support innovation and evidence-based data collection delivered within the context and lived experiences of remote living.

This study is part of our contribution to informing possibilities in primary health care and the overall wellbeing of individuals living on remote Indigenous communities. By examining diverse approaches to health care delivery and outcomes, field studies provide vital insights into the unique challenges and creative opportunities faced on communities.

As part of this commitment, we support and facilitate field studies on behalf of this third-party group. Acting as intermediaries with Aboriginal Health Organisations, we aim to contribute to an ongoing, informed discussion about the development and refinement of AI-driven testing and diagnostic tools.

By grounding these advancements in robust, community-informed data, we strive to improve health outcomes and promote equitable access to quality care for Indigenous populations.

From Remote Voices to Real Results

App to assist triage in remote locations

Access to Healthcare

It provides access to healthcare expertise remotely, which is crucial in areas with limited medical facilities

Efficient Triage

Helps in efficient triaging, ensuring that urgent cases receive prompt attention

Reduced Travel

Minimizes the need for community members to travel long distances for medical consultations

Cultural Sensitivity

Incorporates cultural sensitivity by understanding the unique healthcare needs and practices of Aboriginal communities

Resource Optimisation

Optimises the allocation of limited healthcare resources by prioritizing cases based on severity

Continuity of Care

Facilitates continuity of care by enabling follow-up consultations and monitoring remotely

Empowerment

Empowers community members by providing them with tools to take charge of their health

Data-driven Decisions

Provides valuable data insights that can inform public health policies and interventions tailored to Aboriginal communities

Community Engagement

Promotes community engagement and involvement in healthcare decision-making processes.

Convenient - Cost Effective - Scalable

Early Detection

Helfie AI can detect early signs of health issues, allowing for prompt intervention and treatment, potentially preventing the progression of diseases or conditions

Accessibility

Helfie AI can be accessed remotely via smartphones or other devices, making healthcare more accessible to individuals in remote or underserved areas who may not have easy access to medical facilities or professionals

Cost-Effective

By utilising AI technology, Helfie can reduce healthcare costs such as expensive imaging tests or specialist consultations, making healthcare more affordable and sustainable

Convenience

Helfie AI allows individuals to perform self-assessments without the need to schedule appointments or wait for medical professionals. This promotes proactive healthcare management and empowers individuals to take control of their health

Personalised Recommendations

Helfie AI provides personalised recommendations based on individual health data and trends, guiding users towards healthier lifestyle choices, preventive measures, or appropriate medical interventions

Scalability

Helfie AI can scale rapidly to serve large populations, making it suitable for public health initiatives, screening programs, or population health management efforts

Privacy

Helfie AI prioritises user privacy and data security, ensuring that sensitive health information is protected and only accessed by authorised individuals or entities

Continuous Monitoring

Helfie AI enables continuous health monitoring, to track changes in their health status over time and receive alerts or recommendations when deviations from normal patterns are detected