Internet of things (IoT) incorporated with intelligent transportation systems (ITS) aided the design and development of internet of vehicles (IoV) for real-time applications. The applications of IoV in healthcare and medical field include smart monitoring and emergency vehicle transportation for improving its efficiency and improving reliability. Data handling and communication management are complex tasks in IoV aided healthcare applications due to the conventional issues in vehicular communication. To address the problem of data stagnancy and intermittent transmission in IoV communication, a multi-modal tree-driven transmission (MTT) scheme is designed. This transmission scheme balance is between neighbor selection and medical data management by preferring adaptive tree for transmitting emergency messages. By exploiting the multi-modal characteristics of the vehicle and data, the transmission scheme is scaled in an end-to-end manner. Precise neighbor selection, independent decision-process are the intermediate solutions assimilated in MTT for improving successful latency less delivery of medical data from the smart vehicles. The performance of the proposed MTT is assessed through simulations and is verified using the metrics latency, storage handling, transmission backlogs and data processing rate. © 2020 Mattingley Publishing. All rights reserved.