• Clinical Decision Support Systems and internet of things for Personalized Healthcare System : A Review
  • Alireza Nobakht Lashinlou,1,*
    1. Department of Health Information Technology, faculty of paramedical, Urmia University of Medical Science, Urmia, Iran


  • Introduction: Recent years have seen a phenomenal change in healthcare paradigms and IOT enables a common platform for seamless exchange between healthcare devices and stakeholders followed by an advanced analysis of the shared pool of data due to the rapid proliferation of wearable devices and smartphones, the Internet of Things enabled technology and with help of e-health, such as electronic record systems, telemedicine systems, personalized devices for diagnosis, etc is evolving healthcare from conventional hub based system to more personalized healthcare system (PHS). Also, it marks the foundation of Clinical Decision Support Systems which act as an assistive tool for medical personnel and count significantly toward decision support systems thanks to its efficient data analytics, enabling to have a holistic visualization of the healthcare scenario.
  • Methods: We searched English original articles in PubMed/Medline database using the MeSH, keywords including "internet of things" and " Clinical Decision Support System" from 2012 to 2022. It then excluded the articles about heart failure to do a focused review on Clinical Decision Support systems and internet of things.
  • Results: thanks to IoT, decision support systems can do more, by spanning their knowledge to the health records of the patients as well as deeper insights into the data. This work discusses an anIoT-based model that serves as the one-stop platform for all the inter and intra-entity communications in healthcare, as well as the assistive tool for the patients as well as medical personnel. Thereby, the decision support system is illustrated using k-means clustering and considering several physiological parameters impactful for cardiovascular diseases. It illustrates the foundation of decision support system in this scenario, for in-system prediction of the risk of a person for cardiovascular diseases.in other research CDSS, automated prediction and diagnosis PredictAD (Predict Alzheimer's Disease) is a project for developing a standardized and objective solution that would enable an earlier diagnosis of Alzheimer’s disease, improved monitoring of treatment efficacy, and enhanced cost-effectiveness of diagnostic protocols.
  • Conclusion: The Internet of Things paradigm represents the vision of the next wave of the ICT revolution. IoT-enabled technology in PHS will enable faster and safer preventive care, lower overall cost, improved patient-centered practice, and enhanced sustainability. But, we are aware that the goals set up for IoT in healthcare are not easily reachable, and there are still many challenges to be faced, consequently, this research field is getting more and more impetus. Researchers with different backgrounds are enhancing the current state of the art of IoT in healthcare by addressing fundamental problems related to human factors, intelligence design and implementation, and security, social, and ethical issues. Future IoT-enabled PHS will be realized by providing highly customized access to rich medical information and efficient clinical decision-making to each individual with unobtrusive and successive sensing and monitoring.
  • Keywords: Internet of things, Clinical Decision Support System, IOT, CDSS