ReviewBritish journal of clinical pharmacology2020
Medication management needs information and communications technology-based approaches, including telehealth and artificial intelligence.
Review in British journal of clinical pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Compliance and Adherence to Enteral Nutrition Treatment in Adults: A Systematic Review.Nutrients · 2019Pooled it
- Contexts and Mechanisms Related to the Efficacy of Digital Medication Adherence Interventions to Support Medication Adherence Among Adults With Chronic Diseases: Realist Review.Interactive journal of medical research · 2026Review
- Personalized medication recommendations for Parkinson's disease patients using gated recurrent units and SHAP interpretability.Scientific reports · 2025Article
- How to handle polypharmacy in heart failure. A clinical consensus statement of the Heart Failure Association of the ESC.European journal of heart failure · 2025Review
- Intention to use mobile text message reminders for medication adherence among hypertensive patients in North West Ethiopia: a cross-sectional study.BMC health services research · 2024Article
- Construction and application of medication reminder system: intelligent generation of universal medication schedule.BioData mining · 2024Article
- Artificial intelligence in the field of pharmacy practice: A literature review.Exploratory research in clinical and social pharmacy · 2023Review
- Article
- Advances in Pharmacy Practice: A Look towards the Future.Pharmacy (Basel, Switzerland) · 2022Review
- The Theory of Planned Behavior for the Improvement of the Delayed Blood Donation Cycle, Optimization of the Planning Behavior, and Donor Intention.BioMed research international · 2022Article
- Development and assessment of novel machine learning models to predict medication non-adherence risks in type 2 diabetics.Frontiers in public health · 2022Article
- Personalized and Self-Management: Systematic Search and Evaluation Quality Factors and User Preference of Drug Reference Apps in Taiwan.Journal of personalized medicine · 2021Article
- Artificial Intelligence Solutions to Increase Medication Adherence in Patients With Non-communicable Diseases.Frontiers in digital health · 2021Review
- Telehealth to the Rescue During COVID-19: A Convergent Mixed Methods Study Investigating Patients' Perception.Frontiers in public health · 2021Article
- Developing patient-centric medicines for older people: Reflections from the draft EMA paper on the pharmaceutical development of medicines for use in the older population.British journal of clinical pharmacology · 2020Review
- Demographics in the 2020s-Longevity as a challenge for pharmaceutical drug development, prescribing, dispensing, patient care and quality of life.British journal of clinical pharmacology · 2020Article
- Medication management needs information and communications technology-based approaches, including telehealth and artificial intelligence.British journal of clinical pharmacology · 2020Review
- The development of a test battery to assess the hand-eye functions relevant in predicting easy and accurate tablet subdivision in older people: A pilot study.British journal of clinical pharmacology · 2020Review
- Predictive models of medication non-adherence risks of patients with T2D based on multiple machine learning algorithms.BMJ open diabetes research & care · 2020Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.