A real-time API framework for chronic disease management in digital health

Bidirectional data transfer facilitated by real-time APIs is reshaping the paradigm of managing chronic diseases through persistent smooth communication between any patient-oriented device and their EHRs and clinical decision-supporting programs. Frameworks based on FHIR to structure health data, WebSocket protocols to maintain persistent low-latency connections and blockchain to maintain tamper-resistant records of transactions have shown the capacity to meet the demands of real-time monitoring of vital signs, automatically set threshold-derived alerting, and integration of longitudinal data across heterogeneous systems. Pilot programs in managing asthma and hypertension have shown significant reductions in emergency department use by sending automated notifications when symptom or peak-flow measurements reach predetermined thresholds and with hypertension platforms using interactive FHIR exchanges through which clinicians allay concerns about potential nonadherence by informing them in real time of changes in measurements of blood pressure at home. Chronic obstructive pulmonary disease Blockchain-enhanced APIs have demonstrated superior data-integrity rates and end-to-end latency under 200 milliseconds, guaranteeing both reliability and timeliness of critical sensor data. Renal monitoring involving event-driven WebSocket designs has also shown the potential of decreasing eGFR decline rates due to timely intervention by clinicians as soon as they observe potential warning signs at the lab itself. These achievements notwithstanding, there are difficulties in setting standard benchmarking objectives in performance assessment, formulation of privacy-preservable models that can be applicable in low-resource settings, and formulation of the best practices in the implementation, which can be referenced during the process of widespread adaptation. Filling these gaps by federated learning strategies, advanced analytics directly integrated into API processing pipelines, and harmonized interoperability guidelines on a global scale will be key to making the practical and positive implications of real-time API frameworks more widely distributed and accessible across patient communities and multiple care environments.

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-09-12
DOI
https://doi.org/10.30574/wjaets.2025.16.3.1297
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

A real-time API framework for chronic disease management in digital health

World Journal of Advanced Engineering Technology and Sciences
Geochemistry and Geologic Mapping
article

A real-time API framework for chronic disease management in digital health

article en

Abstract

Bidirectional data transfer facilitated by real-time APIs is reshaping the paradigm of managing chronic diseases through persistent smooth communication between any patient-oriented device and their EHRs and clinical decision-supporting programs. Frameworks based on FHIR to structure health data, WebSocket protocols to maintain persistent low-latency connections and blockchain to maintain tamper-resistant records of transactions have shown the capacity to meet the demands of real-time monitoring of vital signs, automatically set threshold-derived alerting, and integration of longitudinal data across heterogeneous systems. Pilot programs in managing asthma and hypertension have shown significant reductions in emergency department use by sending automated notifications when symptom or peak-flow measurements reach predetermined thresholds and with hypertension platforms using interactive FHIR exchanges through which clinicians allay concerns about potential nonadherence by informing them in real time of changes in measurements of blood pressure at home. Chronic obstructive pulmonary disease Blockchain-enhanced APIs have demonstrated superior data-integrity rates and end-to-end latency under 200 milliseconds, guaranteeing both reliability and timeliness of critical sensor data. Renal monitoring involving event-driven WebSocket designs has also shown the potential of decreasing eGFR decline rates due to timely intervention by clinicians as soon as they observe potential warning signs at the lab itself. These achievements notwithstanding, there are difficulties in setting standard benchmarking objectives in performance assessment, formulation of privacy-preservable models that can be applicable in low-resource settings, and formulation of the best practices in the implementation, which can be referenced during the process of widespread adaptation. Filling these gaps by federated learning strategies, advanced analytics directly integrated into API processing pipelines, and harmonized interoperability guidelines on a global scale will be key to making the practical and positive implications of real-time API frameworks more widely distributed and accessible across patient communities and multiple care environments.

World Journal of Advanced Engineering Technology and SciencesVol. 16(3)
Partnerships for the goals
Openalex Percentile: Top 39%
Geochemistry and Geologic Mapping
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A real-time API framework for chronic disease management in digital health · World Journal of Advanced Engineering Technology and Sciences (2025) | TGRS Research Map | TGRS