IMRAD Summary
Introduction
Fragmented care transitions between community health settings and tertiary hospitals often lead to poor patient outcomes and avoidable hospitalizations. To bridge this gap, this project evaluates a dual-pronged healthcare delivery model: the Family Adoption Program (FAP) and the Hospital Adoption Program (HAP). Funded on the principle of "global learning toward local caring," the model utilizes the Patient Journey Record (PaJR) system. This online, open-access platform facilitates asynchronous telemedicine and builds a persistent clinical encounter by leveraging de-identified, real-world patient trajectories to optimize local clinical decision-making.
Methods
The intervention initiates with community-based home visits where families are "adopted" by medical faculty and students from a single tertiary hospital. During these visits, clinicians onboard patients onto the PaJR platform via a mobile-optimized signed informed consent process. Once onboarded, a Persistent Clinical Encounter (PCE) is established. The platform continuously tracks patient-reported data and illness trajectories. Predictive signaling within the PaJR system identifies clinical deterioration early, triggering a structured transition protocol from home to the outpatient department (OPD) or inpatient wards of the partnering tertiary hospital.
Results
The integration of FAP and HAP creates a closed-loop healthcare ecosystem. Initial community front-ending via home visits secures high onboarding and consent rates. The ongoing digital relationship ensures informational continuity, shifting patient behavior from reactive emergency utilization to structured, proactive care seeking. Early predictive signals from the PaJR platform allow clinicians to foresee potential hospital admissions, facilitating well-coordinated, smooth care transitions. Concurrently, the de-identified data enriches an open-access global repository, advancing medical education and shared peer-to-peer decision-making.
Discussion
Linking proactive community outreach (FAP) with specialized tertiary center utilization (HAP) via a persistent digital thread resolves long-standing challenges in care continuity. While asynchronous telemedicine serves as the primary driver, its limitations are offset by timely, mandatory face-to-face evaluations triggered by the platform. This bidirectional flow increases appropriate hospital footfall (analogous to a trusted central hub) while delivering personalized care directly to the doorstep (analogous to decentralized delivery). Future scaling should focus on the long-term sustainability of faculty-led community engagement and user adherence to the digital portal.
Key Words
Patient Journey Record (PaJR)
Family Adoption Program (FAP)
Hospital Adoption Program (HAP)
Persistent Clinical Encounter (PCE)
Care Transitions
Asynchronous Telemedicine
Real-World Clinical Learning
Thematic Analysis
The operational framework of this project centers on four core themes that collectively transform episodic medical treatments into a continuous, learning-driven healthcare loop.
[Family Adoption (FAP)] ---> [PaJR Digital Onboarding] ---> [Persistent Encounter] ---> [Hospital Adoption (HAP)]
(Home Visits) (Informed Consent) (Data Tracking) (Smooth Transitions)
1. Proactive vs. Reactive Care: The "Push and Pull" Care Delivery Model
The strategy redefines traditional healthcare marketing and access by balancing two distinct operational models:
The "Push" (Amazon Model / FAP): Instead of waiting for sick patients to seek help, the hospital pushes care into the community through home visits and family adoption. This establishes baseline trust and lowers onboarding friction.
The "Pull" (Mall Model / HAP): When acute or complex needs arise, the established relationship naturally pulls the community toward a single, trusted tertiary hospital for face-to-face outpatient visits and admissions.
2. Informational Continuity via the Persistent Clinical Encounter (PCE)
Traditional telemedicine is often transactional and episodic. This model introduces a persistent clinical encounter, where the digital relationship between the hospital's medical faculty and the community patient remains active indefinitely.
The PaJR portal maintains a continuous thread of communication and data collection.
This persistent oversight ensures that when a patient's health status changes, clinicians possess a complete, longitudinal understanding of their illness trajectory, avoiding data fragmentation during home-to-hospital transitions.
3. "Global Learning toward Local Caring" through Open-Access Architecture
A key driver of this framework is the dual use of clinical data.
Locally: De-identified data points protect patient privacy while offering immediate clinical utility to the treating team.
Globally: These individual care journeys aggregate into an open-access clinical ecosystem. This crowdsourced repository of real-world evidence allows future patients, medical students, and postgraduate trainees to study diverse illness trajectories, ultimately improving shared decision-making and care pathways worldwide.
4. Predictive Signaling and Frictionless Care Transitions
The ultimate operational goal of looping FAP and HAP together is safety and timing. The thematic analysis highlights that asynchronous digital monitoring is not a total replacement for physical exams; rather, it acts as an early warning system.
Early Detection: The portal tracks data trends to signal potential clinical decompensation before an emergency occurs.
Smooth Transitions: By predicting admissions or the need for advanced diagnostics well in advance, the hospital can pre-arrange care plans, ensuring the patient experiences a stress-free transition from their home to a tertiary hospital bed and back.
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