Innovative Idea

Community Health Connect: A Community-Based Digital Referral and Health Navigation Model

Eric Kwasi Elliason
African Alliance for Research, Advocacy and Innovation
Ghana

Abstract

Community health workers play an important role in connecting communities with primary healthcare services, yet referral and follow-up processes can remain fragmented, particularly in underserved settings. This Innovative Idea proposes Community Health Connect, a community-based digital health navigation model designed to strengthen the connection between community members, community health workers and health facilities. The proposed model combines community-based human support with structured digital referral pathways, referral tracking and follow-up. Rather than replacing clinical judgement or attempting to diagnose patients, the system would support health navigation within established scopes of practice and locally approved referral protocols. The idea is informed by existing evidence and guidance on community health worker integration and digital health interventions, while proposing a specific model that brings these functions together around the individual’s journey through the health system. The proposed innovation would require co-design with communities and health workers, prototype development, pilot implementation and formal evaluation before claims about effectiveness could be made. Community Health Connect is presented as a conceptual innovation intended to stimulate further development, testing and discussion of practical approaches to improving continuity and coordination of community-to-facility healthcare.

Keywords: community health workers; digital health; health navigation; referral coordination; continuity of care; primary healthcare; health innovation

Introduction

Community health workers (CHWs) occupy an important position between communities and formal health systems. They can extend health-related services beyond conventional facilities, support health education and provide referral and follow-up functions within defined scopes of practice. However, the contribution of CHWs depends not only on their individual competencies but also on how effectively they are integrated into the wider health system and supported through appropriate structures, supervision, training and resources (World Health Organization [WHO], 2018, 2025a, 2025b).

Healthcare navigation presents a related challenge. For many people, accessing healthcare involves more than knowing that a health facility exists. Individuals may need assistance determining which service is appropriate, where to seek care, how to follow a referral pathway and what to do after a referral has been made. These challenges can become more pronounced where services are geographically dispersed, health information is limited, referral systems are fragmented, or communication between community and facility-level providers is weak.

Digital health technologies offer opportunities to strengthen these processes. WHO’s classification of digital health interventions includes functions such as client identification and registration, health-worker decision support, referral coordination, activity planning and data services (WHO, 2023). WHO guidance has also examined digital tracking of clients’ health status and services, including its combination with health-worker decision support and targeted client communication. Such approaches may be useful where they are appropriately integrated into existing health-system structures and professional roles.

The existence of these digital capabilities, however, does not automatically solve the underlying problem of healthcare navigation. A technology may record a referral without ensuring that a person understands where to go, reaches the appropriate service or receives subsequent follow-up. The opportunity, therefore, is to consider how digital tools can strengthen—not replace—the human relationships through which many people navigate healthcare.

This Innovative Idea proposes Community Health Connect, a community-based digital health navigation and referral model that places CHWs at the centre of a structured process linking community members with appropriate health services.

The Problem or Opportunity

A referral can be understood as a transition between points in a health system. Yet the transition is not always a simple administrative event. It involves the movement of a person, information and responsibility from one point of care to another.

In a conventional community-to-facility referral process, a CHW may advise an individual to attend a health facility, provide a referral note or verbal instruction, and then return to other community responsibilities. The subsequent journey may be difficult to observe. The CHW may not know whether the person reached the facility, whether the required service was available, whether additional care was recommended, or whether the individual requires further community-level support.

This creates a potential gap between referral made and care received.

The problem is particularly relevant in settings where CHWs operate in rural or underserved communities. WHO has noted that peripheral and rural health workers may face challenges related to geographical barriers, connectivity, electricity, digital skills and access to devices.

At the same time, digital health should not be regarded as a technological solution to every health-system problem. A digital referral system cannot compensate for the absence of health professionals, medicines, transportation, diagnostic services or functioning facilities.

The opportunity therefore lies in designing a modest digital layer around an existing community health function: helping people navigate, complete and follow up referrals while maintaining appropriate human oversight.

The Innovative Idea

Community Health Connect is a proposed digital health navigation model that connects community members, CHWs and health facilities through a structured referral and follow-up pathway.

The central proposition is that a referral should be treated as a journey rather than a single event.

Instead of simply recording that a person was referred, the model would allow an authorised CHW to document the referral, provide the individual with appropriate navigation information, monitor the status of the referral where permitted, and undertake follow-up when necessary.

The proposed system would not diagnose disease, prescribe treatment or independently determine clinical management. Its role would be limited to supporting navigation and coordination within approved health-system protocols and within the CHW’s scope of practice.

This distinction is important. WHO guidance recommends digital tracking and decision-support interventions only under appropriate conditions, including where the health system can support their integrated implementation and where the tasks involved fall within the health worker’s scope of practice.

Community Health Connect therefore positions technology as a coordination tool, while keeping clinical responsibility with appropriately qualified health professionals.

Innovation Rationale

The rationale for Community Health Connect comes from bringing together three observations.

First, CHWs already perform important community-facing functions, including health education, referral and follow-up.

Second, digital health systems can support functions such as client tracking, referral coordination, communication and health-worker decision support.

Third, these functions are often discussed separately. A digital platform may track clients, while a CHW provides community support; a facility may receive referrals, while follow-up takes place through another process.

Community Health Connect proposes bringing these functions together around the continuity of the individual’s healthcare journey.

The innovation is therefore not the invention of a new category of digital technology. Its potential novelty lies in the way existing capabilities are organised around a specific problem: the gap between community-level identification of a health need and successful navigation through the appropriate healthcare pathway.

How the Innovation Works

The proposed model consists of four interconnected stages.

1. Community Identification and Navigation

The process begins within the community.

A person may approach a CHW with a health concern, or the CHW may encounter an individual through an existing community health activity.

The CHW provides information and support within the limits of their training and approved responsibilities. Where the individual’s needs require services beyond the community level, the CHW initiates an appropriate referral.

The system would not replace clinical assessment. Instead, it would help the CHW follow an established pathway for directing the individual to the appropriate service.

2. Digital Referral Registration

The CHW records the referral within the digital platform.

Depending on the context and applicable data-protection requirements, the record could contain:

  • referral date;
  • destination facility or service;
  • referral category;
  • priority or urgency where defined by an approved protocol;
  • information provided to the individual; and
  • follow-up requirements.

Only information necessary for the intended purpose should be collected.

3. Referral Navigation and Follow-Up

The individual receives appropriate information about the referral.

Where consent and local policy permit, the system can generate a follow-up task for the CHW.

The status of the referral could then be represented through a simple pathway:

Referral initiated → Referral information provided → Facility attended → Further action identified → Follow-up completed

The model does not assume that every referral will be completed. Instead, incomplete referrals become visible for appropriate follow-up.

4. System-Level Learning

Once sufficient information has been generated, appropriately aggregated and de-identified data could potentially help health managers identify recurring problems.

For example, a health system might discover that:

  • referrals from particular communities are frequently incomplete;
  • certain facilities receive unusually high referral volumes;
  • transportation is a recurring barrier;
  • particular services are difficult for community members to access; or
  • specific health conditions generate repeated referral and follow-up needs.

The purpose would be to support service improvement rather than to monitor individuals unnecessarily.

Potential Applications

Although Community Health Connect is proposed as a general health-navigation model, it could initially be adapted to specific programmes.

Potential applications include:

Maternal and Child Health

CHWs could support navigation to antenatal, postnatal, immunisation and other maternal and child health services.

Mental Health

The model could help community-based workers connect individuals with appropriate professional mental-health services while maintaining clear boundaries around diagnosis and treatment.

Cancer Screening and Referral

Community-level awareness and screening initiatives could potentially be linked to structured referral and follow-up pathways.

Chronic Disease Management

Individuals requiring continuing care could be supported in navigating appointments, referrals and follow-up services.

Elderly Care

The model could support navigation between community-based support, primary healthcare and specialist or hospital services.

The specific application would determine the referral protocols, workforce roles, data requirements and safeguards.

Implementation Considerations

The model should not be implemented as a technology-first intervention.

Its development should begin with co-design involving the people who will use, manage and be affected by the system.

Key stakeholders could include:

  • community members;
  • community health workers;
  • nurses and other frontline health professionals;
  • physicians;
  • health-facility managers;
  • public-health authorities;
  • information-technology specialists; and
  • data-protection or governance experts.

WHO’s recent guidance on integrating CHWs into health systems emphasises assessment, stakeholder analysis, governance, financing, design and monitoring and evaluation as important elements of implementation.

The first version of Community Health Connect should therefore be deliberately simple.

A minimum viable prototype might include only:

  1. referral registration;
  2. referral destination;
  3. basic referral status;
  4. follow-up reminders; and
  5. simple aggregate reporting.

Additional functions should be introduced only when there is a demonstrated need.

Risks, Limitations and Ethical Considerations

Several risks must be considered.

Data Privacy

Health-related information is sensitive. The system would therefore require appropriate consent, data minimisation, access controls, secure storage, appropriate retention policies and compliance with applicable national data-protection requirements.

Digital Exclusion

Individuals without smartphones, reliable connectivity, electricity or digital literacy should not be disadvantaged. The CHW must therefore remain a human point of access rather than making the digital platform the only route to healthcare navigation.

Over-Reliance on Technology

The platform should not be presented as a diagnostic or autonomous clinical decision-making system. Clinical responsibility must remain with appropriately qualified professionals.

Referral Capacity

A successful digital referral does not guarantee that a health facility has the staff, medicines, equipment or transportation required to provide care.

Workforce Burden

If the system creates excessive data-entry requirements, CHWs may experience additional workload rather than meaningful support. The interface should therefore be designed around existing workflows.

These concerns are consistent with wider digital-health implementation guidance, which emphasises feasibility, equity, health-worker acceptability, resource requirements and integration into health systems.

Pathway to Testing and Development

As a conceptual innovation, Community Health Connect should not be described as an intervention that has already been proven effective.

A possible development pathway would involve four stages.

Stage 1: Co-Design

Stakeholders would identify the most important referral and navigation problems within a defined setting and determine which functions the system should address.

Stage 2: Prototype

A low-complexity prototype would be developed and tested with a small group of CHWs.

Stage 3: Feasibility Pilot

The prototype could then be introduced in a limited number of communities to examine usability, acceptability, referral completion, follow-up processes and implementation barriers.

Stage 4: Formal Evaluation

If feasibility is demonstrated, a subsequent study could examine outcomes such as referral completion, time to appropriate care, continuity of care, user satisfaction, health-worker workload and cost-effectiveness.

WHO provides specific guidance for monitoring and evaluating digital health interventions across stages of implementation and evaluation.

This staged approach is important because the purpose of an Innovative Idea is not to claim that an idea works simply because it appears plausible. The purpose is to document a potentially valuable idea clearly enough that it can be questioned, developed and eventually tested.

Conclusion

Community Health Connect proposes a community-based digital health navigation model that treats healthcare referral as a continuing journey rather than a single administrative event.

The model combines the existing human role of community health workers with structured digital referral registration, navigation, follow-up and system-level learning. Its purpose is not to replace healthcare professionals or resolve structural weaknesses in health systems, but to strengthen coordination between communities and existing healthcare services.

The idea is consistent with established directions in community health-worker integration and digital health while proposing a specific way of organising these functions around continuity of care.

At its present stage, Community Health Connect remains a conceptual innovation. Its value therefore cannot be established through description alone. The next steps should involve stakeholder co-design, prototype development, feasibility testing and, if warranted, rigorous evaluation.

The broader proposition is simple: digital health should not merely record where a patient was referred; it should help health systems understand whether people were successfully connected to the care they were referred to receive.

That proposition provides a basis for further innovation, discussion and empirical testing.

References

Cometto, G., Ford, N., Pfaffman-Zambruni, J., Akl, E. A., Lehmann, U., McPake, B., Ballard, M., Kok, M., Najafizada, M., Olaniran, A., Ajuebor, O., Perry, H. B., Scott, K., Albers, B., Shlonsky, A., & Taylor, D. (2018). Health policy and system support to optimise community health worker programmes: An abridged WHO guideline. The Lancet Global Health, 6(12), e1397–e1404. https://doi.org/10.1016/S2214-109X(18)30482-0

World Health Organization. (2018). WHO guideline on health policy and system support to optimize community health worker programmes. World Health Organization.

World Health Organization. (2019). WHO guideline: Recommendations on digital interventions for health system strengthening. World Health Organization.

World Health Organization. (2019). Recommendations on digital interventions for health system strengthening: Evidence and recommendations. World Health Organization.

World Health Organization. (2019). Recommendations on digital interventions for health system strengthening: Research considerations. World Health Organization.

World Health Organization. (2023). Classification of digital interventions, services and applications in health: A shared language to describe the uses of digital technology for health (2nd ed.). World Health Organization.