Medication management needs information and communications technology‐based approaches, including telehealth and artificial intelligence
| Autor: | Dieter Hayn, Alphons Eggerth, Günter Schreier |
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| Rok vydání: | 2019 |
| Předmět: |
Technology
Decision support system Medication Therapy Management telehealth Computer science Collaborative Care Telehealth 030226 pharmacology & pharmacy 03 medical and health sciences 0302 clinical medicine Health care Humans Pharmacology (medical) adherence 030212 general & internal medicine Pharmacology Reviews‐themed Section business.industry Predictive analytics artificial intelligence Telemedicine Review‐themed Section machine learning Analytics Information and Communications Technology medication Applications of artificial intelligence Artificial intelligence Information Technology business |
| Zdroj: | British Journal of Clinical Pharmacology |
| ISSN: | 1365-2125 0306-5251 |
| DOI: | 10.1111/bcp.14045 |
| Popis: | Life expectancy is rising in most parts of the world as is the prevalence of chronic diseases. Suboptimal adherence to long-term medications is still rather the norm than the exception, although it is well known that suboptimal adherence compromises the therapeutic effectiveness. Information and communications technology provides new concepts for improving adherence to medications. These so-called telehealth concepts or services help to implement closed-loop healthcare paradigms and to establish collaborative care networks involving all stakeholders relevant to optimising the overall medication therapy. Together with data from Electronic Health Records and Electronic Medical Records, these networks pave the way to data-driven decision support systems. Recent advances in machine learning, predictive analytics, and artificial intelligence allow further steps towards fully autonomous telehealth systems. This might bring advances in the future: disburden healthcare professionals from repetitive tasks, enable them to timely react to critical situations, and offer a comprehensive overview of the patients' medication status. Advanced analytics can help to assess whether patients have taken their medications as prescribed, to improve adherence via automatic reminders. Ultimately, all relevant data sources need to be collated into a basis for data-driven methods, with the goal to assist healthcare professionals in guiding patients to obtain the best possible health status, with a reasonable resource utilisation and a risk-adjusted safety and privacy approach. This paper summarises the state-of-the-art of telehealth and artificial intelligence applications in medication management. It focuses on 3 major aspects: latest technologies, current applications, and patient related issues. |
| Databáze: | OpenAIRE |
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