Health Systems最新文献

Drowning in data, starving for access: unlocking the bottleneck in molecular medicine and cancer research. 淹没在数据中，渴望获取：解开分子医学和癌症研究的瓶颈。

IF 1.2

Health Systems Pub Date : 2025-11-26 eCollection Date: 2026-01-01 DOI: 10.1080/20476965.2025.2591052

Kate Manley, Jerry Sh Lee

引用次数: 0

Accessibility of big data in medicine: adjusting the duration of antibiotic treatment for gram-negative bloodstream infections. 医学大数据的可及性：调整革兰氏阴性血流感染的抗生素治疗时间。

IF 1.2

Health Systems Pub Date : 2025-08-11 eCollection Date: 2026-01-01 DOI: 10.1080/20476965.2025.2544549

Liat Toderis, Iris Reychav, Roger McHaney, Itai Gueta, Dafna Yahav, Ronen Loebstein

{"title":"Accessibility of big data in medicine: adjusting the duration of antibiotic treatment for gram-negative bloodstream infections.","authors":"Liat Toderis, Iris Reychav, Roger McHaney, Itai Gueta, Dafna Yahav, Ronen Loebstein","doi":"10.1080/20476965.2025.2544549","DOIUrl":"https://doi.org/10.1080/20476965.2025.2544549","url":null,"abstract":"The current article describes a process to mitigate challenges that arise when medical practitioners and data specialists operate with differing terminologies and face technological and organizational barriers in accessing and utilizing medical big data. We present a structured methodology for improving access to clinical data and apply this approach using a case study focused on optimizing antibiotic management for patients with gram-negative bloodstream infections. Using the ArchiMate® organizational architecture language, we developed a project framework that aligns strategic, business, application, and technological layers of hospital operations. Each component was used to articulate project goals, guide the implementation process, and track intervention outcomes. After implementing a real-time monitoring tool and engaging clinicians directly in the data workflow, 65% of the identified patients received targeted interventions, and the median duration of antibiotic therapy was reduced from 6 to 5 days. Our approach enabled faster decision-making, and drove meaningful organizational change - demonstrating how structured data access can lead to improved healthcare delivery and patient outcomes.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"15 1","pages":"51-65"},"PeriodicalIF":1.2,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12915387/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146229036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive vaccination and surveillance testing strategies for infectious diseases with diverse strain dynamics. 具有不同菌株动态的传染病的适应性疫苗接种和监测检测策略。

IF 1.2

Health Systems Pub Date : 2025-08-05 eCollection Date: 2025-01-01 DOI: 10.1080/20476965.2025.2533783

Xilin Zhang, Ozgur M Araz, Zeynep Ertem

{"title":"Adaptive vaccination and surveillance testing strategies for infectious diseases with diverse strain dynamics.","authors":"Xilin Zhang, Ozgur M Araz, Zeynep Ertem","doi":"10.1080/20476965.2025.2533783","DOIUrl":"https://doi.org/10.1080/20476965.2025.2533783","url":null,"abstract":"The dynamic nature of epidemic diseases presents significant challenges for containment and healthcare resource allocation, particularly as viral strains evolve and outbreak conditions shift over time. While interventions such as testing, vaccination, and quarantine have been widely implemented, most models assess these strategies in isolation. However, we evaluate the combined impact of all aforementioned interventions and optimize resource allocation for maximum effectiveness. This study introduces an adaptive compartmental epidemiological model (SEIR) that integrates dynamic vaccination accessibility and diagnostic surveillance testing strategies, allowing for optimized intervention strategies in response to real-time outbreak progression and demographic variations. Simulation results demonstrate that vaccination effectively reduces infection peaks, while adaptive testing strategies delay peak occurrences and mitigate severity by continuously adjusting to outbreak dynamics and available healthcare resources. By integrating real-time surveillance, strategic testing allocation, and vaccination planning, this model provides a scalable and flexible framework for epidemic preparedness. These findings offer actionable insights for policymakers, guiding the development of robust surveillance systems, optimized resource distribution, and predictive epidemic control measures to mitigate future outbreaks.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"14 4","pages":"307-322"},"PeriodicalIF":1.2,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12777841/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145935445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A systematic review of operational research modelling for alcohol consumption and its consequences. 对酒精消费及其后果的运筹学模型的系统回顾。

IF 1.2

Health Systems Pub Date : 2025-08-03 eCollection Date: 2026-01-01 DOI: 10.1080/20476965.2025.2523751

Elin H Williams, Paul R Harper, Geraint I Palmer, Daniel Gartner

{"title":"A systematic review of operational research modelling for alcohol consumption and its consequences.","authors":"Elin H Williams, Paul R Harper, Geraint I Palmer, Daniel Gartner","doi":"10.1080/20476965.2025.2523751","DOIUrl":"https://doi.org/10.1080/20476965.2025.2523751","url":null,"abstract":"Recent research has revealed how operational research (OR) models and methods have been successfully applied to model alcohol consumption and its consequences (ACC). However, to date, there is no systematic review of OR methods to model ACC that can provide a broad overview of the utilisation of OR methods in this field. In this paper, we contribute to the OR literature as follows. Firstly, we provide a structured taxonomy which helps categorising the literature. Secondly, we conduct a systematic and reproducible search to identify publications that have utilised OR methods to model ACC. Thirdly, we categorise the relevant publications using the taxonomy and provide a dataset of the classification. Our findings highlight that recent research has focused on modelling consumption behaviours, particularly by utilising graph and network methods. Moreover, previous research has been predominantly led by the social sciences and public health fields and less so by the OR domain. Our results reveal gaps in the literature, including limited whole systems modelling and scarce interdisciplinary collaboration across research domains. The development of a future research agenda using our taxonomy and literature review may help closing these gaps and, ultimately, improve planning decisions to improve health, social care, and crime systems.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"15 1","pages":"6-41"},"PeriodicalIF":1.2,"publicationDate":"2025-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12915404/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146229014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Revolutionising health monitoring: IOT-Based system with machine learning classification. 革命性的健康监测：基于物联网的系统与机器学习分类。

IF 1.2

Health Systems Pub Date : 2025-05-26 eCollection Date: 2025-01-01 DOI: 10.1080/20476965.2025.2507620

Alka Mishra, Aryan Dewangan, Mayank Dewangan

{"title":"Revolutionising health monitoring: IOT-Based system with machine learning classification.","authors":"Alka Mishra, Aryan Dewangan, Mayank Dewangan","doi":"10.1080/20476965.2025.2507620","DOIUrl":"https://doi.org/10.1080/20476965.2025.2507620","url":null,"abstract":"In the pursuit of revolutionising health monitoring, this study introduces an IoT-based smart health monitoring system coupled with a machine learning classification framework. This innovative system tracks five crucial health parameters - Temperature, SPO2, Glucose level, Pulse rate, and Heart rate - providing a comprehensive overview of an individual's health status in real-time. Leveraging these parameters, a dataset is constructed, facilitating the application of four distinct machine learning algorithms: Support Vector Machine (SVM), Decision Tree, Random Forest, and CN2 rule induction. Remarkably, the classification accuracy achieved by these models demonstrates their efficacy, with SVM scoring 0.859, Tree achieving 0.996, Random Forest attaining 0.984, and CN2 rule induction reaching 0.902, respectively. Notably, among these algorithms, the Tree model emerges as the most superior, showcasing its potential for effectively analysing this type of dataset and enhancing the performance of health monitoring systems. Further, ThingSpeak has been utilised as IoT platform within our health monitoring system that facilitates the seamless collection of real-time data from diverse medical devices such as heart rate monitors and glucose metres. With applications in healthcare, home monitoring, sports, fitness, and industrial safety, the system offers versatile solutions for proactive health management and improved well-being.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"14 4","pages":"291-306"},"PeriodicalIF":1.2,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12777905/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145935392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Leveraging quality improvement initiatives to support development of decision support tools in healthcare. 利用质量改进计划来支持医疗保健领域决策支持工具的开发。

IF 1.2

Health Systems Pub Date : 2025-05-05 eCollection Date: 2025-01-01 DOI: 10.1080/20476965.2025.2500285

Joe Viana, Christos Vasilakis, Neophytos Stylianou

{"title":"Leveraging quality improvement initiatives to support development of decision support tools in healthcare.","authors":"Joe Viana, Christos Vasilakis, Neophytos Stylianou","doi":"10.1080/20476965.2025.2500285","DOIUrl":"10.1080/20476965.2025.2500285","url":null,"abstract":"Modelling and simulation studies have been used to inform the choices and development of quality improvement (QI) initiatives in health care, for example, by helping refine the intervention to be implemented or support decisions around the management of demand and capacity. We do not know whether a modelling study can itself be informed by a QI project and what are the associated benefits and challenges. In this research, we sought to investigate the opportunities and challenges associated with an ongoing health service-led QI project in informing the development of a stochastic simulation-based decision support tool to inform decisions around the commissioning of anticoagulation services for patients with atrial fibrillation. We found that the positive synergies offered by the QI project included good access to stakeholders and envisaged end users, co-producing relevant and impactful scenarios for experimentation, as well as access to good quality individual patient level data. On the other hand, substantial effort was required to populate input parameters with values that pertain to the natural history of the disease and the effectiveness of the different treatments. Our findings indicate that, if stakeholders require modelling results to inform aspects of a QI project, upfront investment is needed to ensure timely interaction between the two studies.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"14 4","pages":"323-336"},"PeriodicalIF":1.2,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12777901/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145935415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards a solution to the global healthcare crisis: using hierarchical decomposition and theory of constraints (TOC) to address the healthcare supply chain wicked problem. 解决全球医疗保健危机：利用层次分解和约束理论（TOC）解决医疗保健供应链问题。

IF 1.2

Health Systems Pub Date : 2025-02-28 eCollection Date: 2025-01-01 DOI: 10.1080/20476965.2025.2460632

James F Cox, Victoria J Mabin

{"title":"Towards a solution to the global healthcare crisis: using hierarchical decomposition and theory of constraints (TOC) to address the healthcare supply chain wicked problem.","authors":"James F Cox, Victoria J Mabin","doi":"10.1080/20476965.2025.2460632","DOIUrl":"10.1080/20476965.2025.2460632","url":null,"abstract":"Healthcare is facing a crisis globally, with rising demand and technological advances escalating costs and outpacing supply. The healthcare supply chain (HCSC) encompasses various links, from primary and specialty care to hospitals, which often fail to function quickly, seamlessly, or cost-effectively individually or together. Indeed, the complexities of healthcare make this a \"wicked problem\" without easy solutions. Research has typically focused on individual links in the supply chain oversimplifying and neglecting their interdependence. Key characteristics - such as the system's hierarchical structure, diverse stakeholder involvement, interdependencies among links, the importance of timeliness, and the need to cope with complexity, change, and uncertainty - are frequently overlooked. Addressing the healthcare crisis requires a pragmatic approach to improving service delivery. This paper advocates for a systems perspective, allowing a breakdown of the problem into manageable units of analysis based on the system hierarchy, viewing each link in the HCSC as integral to the whole. We outline a multimethodology that capitalises on HCSC characteristics to enhance patient flow and provide timely, high-quality, and cost-effective care. It emphasises classifying, prioritising, and synchronising treatment based on urgency. The paper also discusses existing solutions to the system's components and presents a comprehensive strategy for the overall issue.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"14 4","pages":"249-275"},"PeriodicalIF":1.2,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12777895/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145935362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A chance-constrained program for the allocation of nurses in acute home healthcare. 急诊家庭保健护士分配的机会限制方案。

IF 1.2

Health Systems Pub Date : 2025-02-26 eCollection Date: 2025-01-01 DOI: 10.1080/20476965.2025.2467643

Jedidja Lok-Visser, Hayo Bos, Erwin W Hans, Gréanne Leeftink

{"title":"A chance-constrained program for the allocation of nurses in acute home healthcare.","authors":"Jedidja Lok-Visser, Hayo Bos, Erwin W Hans, Gréanne Leeftink","doi":"10.1080/20476965.2025.2467643","DOIUrl":"10.1080/20476965.2025.2467643","url":null,"abstract":"Home healthcare capacity is under great pressure due to demographic developments. Existing literature has exclusively focused on the planning, scheduling, and routing of non-acute care activities. However, similar to other healthcare settings, home healthcare also experiences acute care activities that disrupt operational performance. We study the planning and control of an acute care team for dealing with unplanned and urgent home healthcare activities. Particularly, we focus on determining the number of nurses per care level and their standby locations. The primary aim of this study is to introduce this novel problem, which we define as the acute care team location problem. We formulate this problem as a chance-constrained program. We solve the single location problem to optimality, and the multi-location problem with sample average approximation. The results show that our approach enables decision makers to optimally configure their acute care team, to respond quickly to acute care incidents. From a managerial perspective, our research provides a model that supports tactical capacity planning in HHC organisations and presents a benchmark for acute care management policies.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"14 4","pages":"276-290"},"PeriodicalIF":1.2,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12777871/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145935420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Using routine health care data to develop and validate a system dynamics simulation model of frailty trajectories in an ageing population. 利用常规卫生保健数据开发和验证老龄化人口脆弱轨迹的系统动力学模拟模型。

IF 1.2

Health Systems Pub Date : 2025-01-31 eCollection Date: 2025-01-01 DOI: 10.1080/20476965.2025.2459364

Tracey England, Bronagh Walsh, Sally Brailsford, Carole Fogg, Simon de Lusignan, Simon Ds Fraser, Paul Roderick, Scott Harris, Abigail Barkham, Harnish P Patel, Andrew Clegg

{"title":"Using routine health care data to develop and validate a system dynamics simulation model of frailty trajectories in an ageing population.","authors":"Tracey England, Bronagh Walsh, Sally Brailsford, Carole Fogg, Simon de Lusignan, Simon Ds Fraser, Paul Roderick, Scott Harris, Abigail Barkham, Harnish P Patel, Andrew Clegg","doi":"10.1080/20476965.2025.2459364","DOIUrl":"10.1080/20476965.2025.2459364","url":null,"abstract":"Frailty is common in older adults and has a substantial impact on patient outcomes and service use. Information to support service planning, including prevalence in middle-aged adults and patterns of frailty progression at population level, is scarce. This paper presents a system dynamics model describing the dynamics of frailty and ageing within a population of patients aged ≥50, based on linked data for 2.2 million patients from primary care practices in England. The purpose of the model is to estimate the incidence and prevalence of frailty in an ageing population over time. The model was developed in consultation with stakeholders (patients, carers, clinicians, and commissioners) and validated against another large dataset (1.38 million patients) from Wales. It was then scaled up to the population of England, using Office for National Statistics projections (to 2027). The baseline results, subject to the assumption that the frailty transition parameters remain constant over this period, suggest that the number of people living with frailty will increase as the population ages, and that those with mild-moderate frailty are likely to have the greatest impact on demand. This paper focuses on model development and validation, highlighting the benefits and challenges of using large routine health datasets.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"14 3","pages":"195-207"},"PeriodicalIF":1.2,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12364089/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A holistic view on the COVID-19 epidemic process: smoking cessation behaviour, epidemic process and precautions. 从整体看新冠肺炎的流行过程：戒烟行为、流行过程和预防措施。

IF 1.2

Health Systems Pub Date : 2025-01-11 eCollection Date: 2025-01-01 DOI: 10.1080/20476965.2025.2450342

Muammer Albayrak, Ahmet Albayrak

{"title":"A holistic view on the COVID-19 epidemic process: smoking cessation behaviour, epidemic process and precautions.","authors":"Muammer Albayrak, Ahmet Albayrak","doi":"10.1080/20476965.2025.2450342","DOIUrl":"10.1080/20476965.2025.2450342","url":null,"abstract":"The aim of this study is to investigate the smoking cessation tendencies of people with different levels of smoking addiction during the COVID-19 epidemic process and to investigate the variables that most affect the risk perception of being Covid-19. Data were collected between November 8 and December 20 2021. A total of 898 participants living in the Turkey aged 18 years or older were recruited from Google online form panel. In general, it can be said that the higher the education level and the higher the income, the better the people adapt to the epidemic conditions. During the epidemic, it is seen that people generally (88.2%) get the news about the process from official sources. It is seen that the participants trust the ministry of health and the scientific committee at a rate of 67.1% in the epidemic management. It is possible that those who have chronic diseases and are addicted to cigarettes will experience the COVID-19 process more heavily. However, in this study, it could not be said that those who have a chronic disease and are addicted to smoking are more inclined to quit smoking.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"14 3","pages":"188-194"},"PeriodicalIF":1.2,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12364087/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144972897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0