This paper contributes to identifying key interoperability issues in this kind of scenario and proposes guidelines to solve them. This hinders such developments as the one that we are carrying out. Different vendors adopt specific approaches about the way data can be collected from wearables into third-party systems. During this development, we have identified interoperability challenges related to the collection and processing of data from wearable devices. More precisely, sleep and stress indicators are defined to assist teachers and learners on the regulation of their activities. We are working on the analytic exploitation of this kind of data towards the support of learners and teachers in educational contexts. Nowadays, wrist wearables including sensors (e.g., heart rate, accelerometer, pedometer) that provide valuable data are common in market. Over recent years, we have witnessed the development of mobile and wearable technologies to collect data from human vital signs and activities. Experimental results show that our proposed method successfully linked records with acceptable accuracy for noisy data in the absence of any standard ID like SSN. Our technique can anonymize identifiable private data of the patients while maintaining record linkage in integrated health repositories to facilitate knowledge discovery process. We have proposed a privacy preserved secured record linkage architecture that can support constrained health data of developing countries such as Bangladesh. In this paper, we have analyzed the practical problems of collecting and integrating healthcare data in Bangladesh for developing national health data warehouse. Also, identifiable health data in electronic health repositories may produce a significant risk to patient privacy and also make the health information systems security vulnerable to hackers. These solutions cannot be used correctly for record linkage of health data of developing countries because of missing data, ambiguity in patient identification, and high amount of noise in patient information. Researchers have given different solutions to this problem that are applicable for developed countries where electronic health record of patients are maintained with identifiers like social security number (SSN), universal patient identifier (UPI), health insurance number, etc. Maintaining record linkage during the integration of medical data is an important research issue. Knowledge discovery from various health data repositories requires the incorporation of healthcare data from diversified sources.
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