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Internet-of-Things (IoT) devices can be employed to stream personal medical data (e.g., vitals) into healthcare information systems for the purposes of health monitoring and efficient diagnosis. A challenge however is when "dumb" terminals are employed for the data streaming process, it is difficult to determine the originating source. This makes it even harder to match personal data from incoming devices. This paper proposes a traceability route formation using a network graph based on techniques such as tuple of inputs and the Büchi automaton. This enabled the work to provide proper trace routes for the personal data from the originating source to the destination, which can be a health information system (HIS). The results from several empirical evaluations conducted in a real-world wearable IoT ecosystem prove the feasibility of the proposed work.