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Related papers: Adhera: A Human-Centered Health Informatics Soluti…

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Medication adherence is a problem of widespread concern in clinical care. Poor adherence is a particular problem for patients with chronic diseases requiring long-term medication because poor adherence can result in less successful…

Methodology · Statistics 2021-04-26 Kristen B. Hunter , Mark E. Glickman , Luis F. Campos

Despite the massive costs and widespread harms of substance use, most individuals with substance use disorders (SUDs) receive no treatment at all. Digital therapeutics platforms are an emerging low-cost and low-barrier means of extending…

Systems and Control · Electrical Eng. & Systems 2025-04-03 Eric Pulick , Yonatan Mintz

Reminiscence therapy is an inexpensive non-pharmacological therapy commonly used due to its therapeutic value for PwD, as it can be used to promote independence, positive moods and behavior, and improve their quality of life. Caregivers are…

Human-Computer Interaction · Computer Science 2022-01-10 Soraia M. Alarcão , André Santana , Carolina Maruta , Manuel J. Fonseca

Medication nonadherence significantly reduces the effectiveness of therapies, yet it remains prevalent among patients. Nonadherence has been linked to adverse outcomes, including increased risks of mortality and hospitalization. Although…

Machine Learning · Computer Science 2024-08-22 Ali Kamrani khodaei , Sina Hajer Ahmadi

Electronic health records (EHRs) provide comprehensive patient data which could be better used to enhance informed decision-making, resource allocation, and coordinated care, thereby optimising healthcare delivery. However, in mental…

Alzheimer's Disease and Related Dementias (AD/ADRD) are progressive neurodegenerative conditions that impair memory, thought processes, and functioning. Family caregivers of individuals with AD/ADRD face significant mental health challenges…

Human-Computer Interaction · Computer Science 2025-11-04 Jiayue Melissa Shi , Keran Wang , Dong Whi Yoo , Ravi Karkar , Koustuv Saha

The broad adoption of Electronic Health Records (EHR) has led to vast amounts of data being accumulated on a patient's history, diagnosis, prescriptions, and lab tests. Advances in recommender technologies have the potential to utilize this…

Information Retrieval · Computer Science 2020-09-01 Suman Bhoi , Lee Mong Li , Wynne Hsu

Modern healthcare facilities demand digital accessibility to guarantee equal access to telemedicine platforms, online pharmacy services, and health monitoring devices that can be worn or are handy. With the rising call for the…

Human-Computer Interaction · Computer Science 2025-06-02 Vishnu Ramineni , Balaji Shesharao Ingole , Nikhil Kumar Pulipeta , Balakrishna Pothineni , Aditya Gupta

An estimated 180 papers focusing on deep learning and EHR were published between 2010 and 2018. Despite the common workflow structure appearing in these publications, no trusted and verified software framework exists, forcing researchers to…

Poor medication adherence presents serious economic and health problems including compromised treatment effectiveness, medical complications, and loss of billions of dollars in wasted medicine or procedures. Though various interventions…

Artificial Intelligence · Computer Science 2021-05-20 Chrisogonas Odhiambo , Pamela Wright , Cindy Corbett , Homayoun Valafar

Medical non-adherence increasingly is recognized as a major medical health problem. Approximately 50% of patients do not take their medications as prescribed and such poor adherence has been shown to result in complications, death, and…

Human-Computer Interaction · Computer Science 2017-08-10 Anna Iurchenko

Medication adherence is a well-known problem for pharmaceutical treatment of chronic diseases. Understanding how nonadherence affects treatment efficacy is made difficult by the ethics of clinical trials that force patients to skip doses of…

Quantitative Methods · Quantitative Biology 2021-12-30 Elijah D Counterman , Sean D Lawley

Evidence suggests that medication adherence applications (apps) are one of the most effective methods to remind patients to take medication on time. Reminders via apps are overwhelming today, consumers discard using them after a brief…

Human-Computer Interaction · Computer Science 2023-10-24 Nawal Chanane , Farhaan Mirza , M. Asif Naeem

Medication recommendation using Electronic Health Records (EHR) is challenging due to complex medical data. Current approaches extract longitudinal information from patient EHR to personalize recommendations. However, existing models often…

Machine Learning · Computer Science 2023-09-27 Jiacong Mi , Yi Zu , Zhuoyuan Wang , Jieyue He

One of the most significant barriers to medication treatment is patients' non-adherence to a prescribed medication regimen. The extent of the impact of poor adherence on resulting health measures is often unknown, and typical analyses…

Applications · Statistics 2018-12-04 Luis F. Campos , Mark E. Glickman , Kristen B. Hunter

Internet-delivered psychological treatments (IDPT) are seen as an effective and scalable pathway to improving the accessibility of mental healthcare. Within this context, treatment adherence is an especially pertinent challenge to address…

Machine Learning · Computer Science 2022-09-07 Ulysse Côté-Allard , Minh H. Pham , Alexandra K. Schultz , Tine Nordgreen , Jim Torresen

As the ageing population grows, older adults increasingly rely on wearable devices to monitor chronic conditions. However, conventional health data representations (HDRs) often present accessibility challenges, particularly for critical…

Human-Computer Interaction · Computer Science 2025-09-16 Peterson Jean , Emma Murphy , Enda Bates

Adherence can be defined as "the extent to which patients take their medications as prescribed by their healthcare providers"[Osterberg and Blaschke, 2005]. World Health Organization's reports point out that, in developed countries, only…

Machine Learning · Computer Science 2018-11-30 Thomas Janssoone , Clémence Bic , Dorra Kanoun , Pierre Hornus , Pierre Rinder

Machine learning systems trained on electronic health records (EHRs) increasingly guide treatment decisions, but their reliability depends on the critical assumption that patients follow the prescribed treatments recorded in EHRs. Using EHR…

Machine Learning · Computer Science 2025-04-22 Zhongyuan Liang , Arvind Suresh , Irene Y. Chen

Medication non-adherence is a widespread problem affecting over 50% of people who have chronic illness and need chronic treatment. Non-adherence exacerbates health risks and drives significant increases in treatment costs. In order to…

Machine Learning · Computer Science 2020-04-03 Yingqi Gu , Akshay Zalkikar , Lara Kelly , Kieran Daly , Tomas E. Ward
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