Healthcare innovation has advanced rapidly, yet care delivery remains fragmented across devices, information systems, laboratories, clinicians, and sites of care. This fragmentation limits the clinical and economic value of otherwise powerful technologies. This perspective argues that the next phase of healthcare innovation should move beyond simple connectivity toward closed-loop care: systems in which patient-generated and clinical data inform decisions, decisions trigger appropriate action, and outcomes continuously update the system. Medical devices can become sensing and therapeutic nodes; interoperable information technology can become a layer of predictive intelligence; and emerging approaches such as digital twins and functional precision oncology can extend the model from monitoring to simulation and individualized treatment selection. Chronic wound care provides a practical example in which integration can be evaluated through measurable outcomes such as healing, hospital utilization, readmissions, amputations, and total episode cost. Functional cancer testing provides a second example, complementing molecular profiling by measuring ex vivo response in living patient-derived tumor material. Globally, resource-constrained environments may accelerate mobile-first, decentralized models that can later inform higher-cost health systems. However, interoperability alone is insufficient. Clinical adoption will depend on evidence, human oversight, privacy, transparency, explainability, validation, and trust. The central proposition is that healthcare’s next competitive and clinical advantage will come not from isolated products, but from integrated systems that convert data into timely, accountable action.
Keywords: medical devices; digital health; interoperability; closed-loop care; digital twins; functional precision medicine; oncology; wound care; artificial intelligence; global health
Citation: John A. Bennett. (2026), From Connected Devices to Intelligent Care: Integrating Medical Devices, Digital Health, Functional Precision Oncology, and Global Healthcare Delivery. J B & Bio Engine 6(3): 1-4. DOI : https://doi.org/10.47485/2693-2504.1067