Artificial Intelligence solutions for health conditions management of patients suffering from Non-Communicable Diseases
Non-communicable diseases (NCDs), also known as chronic diseases, tend to be of long duration and are the result of a combination of genetic, physiological, environmental and behaviors factors.
NCDs kill 41 million people each year, equivalent to 71% of all deaths globally. Cardiovascular diseases account for most NCD deaths, or 17.9 million people annually, followed by cancers (9.0 million), respiratory diseases (3.9million), and diabetes (1.6 million). These 4 groups of diseases account for over 80% of all premature NCD deaths [WHO]
It is a fact that AI capabilities are transforming current healthcare landscape. AI applications contribute to analyze relationships between prevention or treatment techniques and patient outcomes. In the context of NCDs, detection, screening, management and patients’ education are key components of the response to NCDs to which AI can bring innovative solutions for professionals, patients and carers.
Thus, the current challenge is looking for AI powered solutions, platforms and applications for the detection, screening and management of NCDs in support to professionals and carers which contribute to:
- • Prevent acute episodes and patients’ exacerbations and provide with better diagnoses and solutions.
- • Improve patient-tailored care, monitoring and management on the side of professionals (e.g. Intelligent Decision Support Systems) and patients (e.g. tele-health, AI robots able to provide care in situ).
- • Enhance NCDs’ patients empowerment and adherence of treatments.
All in all, the major aim is that the proposed AI-based solutions may contribute to support NCDs patients independent leaving and Quality of Life.
[WHO] http://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases
- Related keywords
- Artificial Intelligence
- NCD management
- Chronic patients
- DSS systems
- Social challenges to be addressed through collaboration
- NCDs present a heavy socioeconomic impact and social stigma on pattients suffering from NCDs and their caregivers. On the one hand patients feel burdened by their disease, situation at home, financial problems and families' reaction to the NCD. Cagivers feel also burdened due to isues linked to patients' condition, providing home care, financial aspects and decision-making processes. By proposing AI-based applications to prevent, monitor, manage and educate NCD patients and stakeholders it is the aim to relax these burdens and impact and improve patients' QoL.
