New forms of digital care are introducing new methods of communication, care delivery, data sharing, and access to health information. The internet of things, in which sensors continuously transmit data on all types of processes, hold great promise for the care industry. Medical sensors could for instance allow clinicians to remotely monitor their patients and to take immediate actions when required. Furthermore, healthy people can be monitored as well, so that potential health issues can be either prevented or detected much earlier on. While there is clear agreement on the potential of the so-called internet of medical things, the scattering of data among the different stakeholders in care remains a critical challenge to overcome in order for this new technology to prove its added value. A human-centered, health-data-driven ecosystem in order to tackle these problems is given. The model consists out of four data quadrants: administrative and financial, logistics and facility, medical, and paramedical generating data based on four different questions: ‘who am I?’, ‘where am I?’, ‘Am I healthy?’, and ‘how do I recover?’. It frames how data from all these different sources needs to be integrated by technology surrounding the central client in different environments. The connection and integration of this generated data can come from different sources like devices, platforms, humans, etc. Three possible flows have been described on how this integration and connection can be achieved based on edge and fog computing, cloud computing and centralized computing.
A human-centered, health data-driven ecosystem Value-based, connected and integrated healthcare are gaining momentum in the healthcare landscape. Industry 4.0 is transforming healthcare into a data-driven sector. Data and innovation are the foundations of future value-driven healthcare ecosystems. But how will the human aspect remain to play a lasting role? Healthcare continuums are being rolled out as healthcare goes beyond traditional diagnosis and treatment towards prevention and early detection. Health institutions are facing a new generation of ‘health-conscious’ consumers and ‘technology-minded and -adapted’ healthcare professionals. In order to accelerate innovation within healthcare institutions, it must be powered by the personal health-data of an individual, independent of location, life phase and health status. This data will be continuously generated by the daily use of different technologies. Based upon these concepts and shifts, this paper describes a human-centered, health data-driven ecosystem that is built upon the interaction and balance of human actors in every life phase, different environments and societal changes and with different technologies. International and national guidelines and regulations, and ethical norms and values need to be taken into account. Implementation of this health data model will create future value at any time, place and location within this ecosystem. This ecosystem will create value through the realized integrated care by connecting diverse human actors, different environments and various technologies, while still maintaining the empathic relations between the caretaker and the patient/client.
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