Healthcare resource allocation dataset. The project uses a healthcare dataset healthcare_dataset.

Healthcare resource allocation dataset Keyphrases: Allocation challenges, Complex patient needs, Healthcare resource allocation, Optimization, data-driven approach, neural network algorithms Provide actionable insights to healthcare systems for resource allocation and interventions. It also includes tools for dataset curation and management, educational courses, tutorials on dataset analysis, and access to all publicly available medical dataset checkpoints and Oct 12, 2021 · Background Spatial allocation of medical resources is closely related to people’s health. While these systems promise improved efficiency and decision-making, they also raise significant ethical concerns. Resource assignment defines the number of incoming processes and determines the resource to be allocated to each process. e. Feature selection and transformation for clustering analysis. Before Understanding Healthcare Resource Allocation Healthcare resource allocation refers to the process of distributing healthcare resources, including personnel, facilities, equipment, and funds, in a manner that maximizes their efficiency and effectiveness in meeting the healthcare needs of populations (Rasool et al. The significance of such a goal becomes very clear during pandemics. Feb 28, 2025 · Water, sanitation, hygiene, waste management, and other environmental health services are critical for safe health systems, but global access is lacking. 3 million rows. By analyzing healthcare datasets, hospitals can gain Sep 3, 2024 · The healthcare industry is undergoing a digital transformation driven by the availability of open-source datasets. As the entire GP registered population is included, uniquely the dataset includes people who are healthy or generally well, which is crucial for population health management related to primary prevention. , 2024). 0, measuring resource allocation Feb 9, 2024 · It is imperative to evaluate small-area healthcare resource distribution from a spatiotemporal heterogeneity perspective. The model aimed to maximize resource allocation efficiency across multiple hospital facilities, subject to constraints on total available resources. Nov 24, 2024 · The healthcare dataset provides information about patients, diseases, hospitals, and regions in India. To inform the Thanzi La Onse (TLO) model, which is the first comprehensive health system model developed for any country, this study uses a cross-sectional, mixed-methods approach to collect data on healthcare Healthcare predictive analytics leverages advanced data science techniques to extract valuable insights from vast healthcare datasets, aiming to enhance patient outcomes, optimize resource allocation, and improve overall healthcare system efficiency. The insights gained from this analysis are intended to assist healthcare stakeholders in making informed decisions regarding patient care and resource allocation. However, within those planning areas, local providers and The project supports the development of AI models to enhance network performance, improve quality of service, and innovate in 5G networking by understanding application demands, signal strength impacts, latency optimization, and bandwidth allocation. We conducted a qualitative case examining resource allocation in rural Niger. Jun 13, 2024 · Methods: The data were sourced from the "China Health and Family Planning Statistical Yearbook" (2017) and the "China Health and Health Statistics Yearbook" (2018-2022). Future studies Jul 30, 2021 · Given the escalating healthcare costs around the world (more than 10% of the world's GDP) and increasing demand hospitals are under constant scrutiny in terms of managing services with limited resources and tighter budgets. Epidemiological Studies: Analyze the distribution of health facilities in relation to disease prevalence. 10 (e and f) plot the curves of the number of infections and deaths in each state Dec 31, 2024 · AI-driven resource allocation systems evaluate massive datasets to anticipate resource needs, allocate healthcare staff, handle hospital beds, and optimize the application of healthcare tools, ensuring that resources are utilized effectively and productively . Jan 23, 2025 · Allowing funders to identify gaps in research to guide resource allocation; Informing evidence-based policy development and public health monitoring; Making existing datasets more visible to promote collaboration and reduce duplication of research; In total, more than one billion participants are represented across all 1,600 datasets. Harris C, Ko H, Waller C, Sloss P, Williams P. By applying machine learning algorithms, the model analyzes features like age, gender, and medical history to forecast future costs for new data inputs, aiding in financial planning and resource allocation in healthcare. To understand the key drivers for why some people are more expensive (i. The dataset underwent the following preprocessing steps: Data cleaning to handle missing values and outliers. during public health emergencies or in resource-constrained health care settings, such as amid the pandemic of COVID-19. , Obamacare) provides guarantees for the pursuit of preventive healthcare, but no pointers to healthcare access, resource allocation, or other geographical-relevant issues Bahari A, Asadi F (2020) A simulation optimization approach for resource allocation in an Emergency Department Healthcare Unit’. 2 Resource management The resource management is divided into; (i) resource assignment, and(ii) task placement[14, 34]. Methods Using medical geographic big data, this study analyzed 369 Chinese cities and constructed a medical resource evaluation model based on the grading Nov 15, 2024 · The Thanzi La Mawa (TLM) study aims to enhance understanding of healthcare delivery and resource allocation in Malawi by capturing real-world data across a range of health facilities. The Information on the datasets held by PHS Search the datasets - National Datasets - National Data Catalogue - Health intelligence and data management - Resources and tools - Public Health Scotland Header container Project on Healthcare Resource Allocation for the Big Data Technologies Course (2023-2024) - SoniaBorsi/Healthcare-Resource-Allocation Objectives To explore factors that influenced the health resource allocation and utilisation before and after COVID-19, and subsequently offer sensible recommendations for advancing the scientific distribution of health resources. Healthcare organizations face rising patient volumes and Healthy or generally well population. And ICU resources play a critical role in the treatment of critical illness and combating public health emergencies. Our proposed DeepSlice model will be able to make smart decisions and select the most appropriate network slice, even in case of a network failure. Sustainability in health care by allocating resources effectively (SHARE) 4: exploring opportunities and methods for consumer engagement in resource allocation in a local healthcare setting BMC health services research. This project predicts healthcare costs using a dataset with information about individuals and their healthcare expenses. This paper provides an overview of the application of data science in May 24, 2021 · Early identification of resource needs is instrumental in promoting efficient hospital resource management. The dataset for this project consists of healthcare records, including patient demographics, medical history, diagnoses, treatments, and outcomes. edu {kaixuanh, zhengy, mengdiw}@princeton. Data analytics can help optimize these resources by: Demand Forecasting: Analyzing historical data on patient volumes, seasonal trends, and appointment patterns allows healthcare facilities to better Mar 23, 2024 · Dataset Overview: The healthcare dataset used in this analysis contains information about patients, including their age, gender, blood type, medical conditions, billing amounts, and more. We Dec 1, 2024 · The research emphasizes healthcare inequality and offers valuable insights for future healthcare policy, highlighting the need to address disparities in resource allocation. Analyze the results to make data-driven decisions in healthcare resource allocation during disease outbreaks. Applications in Research and Machine Learning: Predictive analysis for disease outbreaks and healthcare system strain; Data-driven decision-making for healthcare funding and resource allocation Dec 10, 2024 · The dataset revealed surprising trends, especially regarding average daily hours in cities. Ultimately, the project seeks to reduce stress among medical doctors, improve healthcare quality, and enhance the overall well-being of healthcare professionals. Jan 1, 2021 · Optimizing healthcare resources is a major goal for any healthcare administrator. The planning for resource allocation impacts patients' waiting time in medicare settings. It is integral that countries identify optimal allocation methods to distribute healthcare resources to ensure and sustain good population heath. With growing patient populations and increasing demands on healthcare systems, it is essential for healthcare providers to find innovative solutions to improve operational efficiency and deliver high-quality care. This paper examines the efficiency of health system stages and Jun 5, 2024 · The integration of advanced data analytics and predictive modeling in healthcare is revolutionizing decision-making processes, improving patient outcomes, and optimizing resource allocation. The primary goal of this project is to conduct a comprehensive analysis of healthcare data, aiming to uncover valuable insights that have the potential to revolutionize decision-making in healthcare and optimize resource allocation for the betterment of patients' lives - agujalwar/Medical-Dataset-Analysis-Python-SQL-and-Insights May 14, 2024 · Operational Efficiency and Resource Allocation: These datasets cover a wide range of healthcare topics and can be used for various data analysis projects, including predictive modeling The project uses a healthcare dataset healthcare_dataset. Jiang’s opinion enlightens us to try to select output indicators from the perspective of personnel value. This project analyzes healthcare data from 2019 to May 2024, optimizing patient care, resource allocation, and financial management. 4. Health care equity, health equity and resource allocation: towards a normative approach to achieving the core principles of the NHS. regions) based on their needs to health care . 1 day ago · COVID-19 health datasets often suffer from incomplete, noisy, or imbalanced data, predicting patient outcomes, and optimizing healthcare resource allocation. 1 Introduction Publicly funded healthcare programs such as Medicaid provide crucial services to vulnerable populations. Regional Disparity Analysis: Identify healthcare deserts and address geographical gaps in medical services. About SHARE. Sep 13, 2024 · This article illustrates very well the complexities of resource allocation during crises like the COVID-19 pandemic. - mihirsab/lung_xray_classification This project focuses on classifying lung X-rays into four categories: COVID-19, viral pneumonia, lung opacity, and normal lungs using CNN architectures like EfficientNetB1, ResNet101 Sep 15, 2023 · For example, ventilators are often limited in supply, especially during public health emergencies or in resource-constrained health care settings, such as amid the pandemic of COVID-19. To this end, this article Jul 22, 2024 · Equality in health resource allocation based on Gini coefficient. Incorporate location data to offer a more comprehensive view, from countries to states. 2017. Dec 21, 2024 · Background Artificial intelligence-driven Clinical Decision Support Systems (AI-CDSS) are increasingly being integrated into healthcare for various purposes, including resource allocation. , data-driven demand prediction, healthcare resource allocation, and parameter rolling update. Unfortunately, there is a lack of a common conceptual evaluation framework as a guide to support effective and context-specific allocation of healthcare resources across both spatial and temporal scales [11, 12]. Inequity in healthcare resources has been identified . , Reference Christian, Sprung and King 2014; Bell et al. Feb 19, 2025 · Generative Artificial Intelligence (AI) has been adopted to address significant challenges in healthcare, including inefficiencies in resource allocation, clinical decision-making, and administrative processes. Resources Nov 11, 2024 · Using data from 284 prefecture-level and above cities in China from 2008 to 2021, this study investigates the impact of healthcare resource allocation on urban economic resilience. Developed a linear programming model to allocate hospital resources (beds and staff) based on predicted patient length of stay. This raises issues of equity in healthcare resource allocation. Nov 26, 2024 · Background Equity and efficiency are two fundamental principles for the sound development of health systems, as advocated by the World Health Organization (WHO). Healthcare institutions can enhance resource allocation procedures to meet the changing demands of patient care while Jul 28, 2023 · Jiang M from the Health Development Research Center of the National Health Commission pointed out that the value of personnel is difficult to quantify, and the key is to quantify the healthcare outcomes of human resources . g. [PMC free article] [Google Scholar] 21. Currently, there is no universally accepted standard for health care resource allocation protocols, resulting in different governments prioritizing patients based on various criteria and heuristic-based protocols. Fig 4. Jul 6, 2024 · Understanding Healthcare Resource Allocation Healthcare resource allocation refers to the process of distributing healthcare resources, including personnel, facilities, equipment, and funds, in a manner that maximizes their efficiency and effectiveness in meeting the healthcare needs of populations (Rasool et al. Asthana S, Gibson A. Here are 15 top open-source healthcare datasets that are making a significant impact Out of the four possible healthcare models for a country (The Beveridge, Bismarck, Out-of-Pocket, and National Insurance), a model such as the Affordable Care Act (ACA—i. wang, yuan. The model found an ideal solution with an objective value of 844. This is the fourth in a series of papers exploring a program of Sustainability in Health care by Allocating Resources Effectively (SHARE). It typically includes data on patient demographics, disease prevalence, hospital names and locations, and state-specific healthcare statistics. Leveraging SQL, Excel, Python, and IBM Cognos Analytics, we analyzed healthcare data, exploring patient admissions, illness severity, ward distribution, and hospital utilization. Nov 1, 2023 · Hospital staff and resources allocation (HSRA) is a critical challenge in healthcare systems, as it involves balancing the demands of patients, the availability of resources, and the need to provide high-quality health in resource-bounded settings. The UK National Health Service allocates resources to relatively large areas in proportion to need, using needs-weighted capitation formulae. Currently, there is no universally accepted standard for health care resource allocation protocols, resulting in different governments prioritizing patients This project focuses on analyzing healthcare data, such as patient health profiles, medical histories, and healthcare costs. xlsx to analyze key metrics such as: Patient Demographics: Age, gender, and geographic distribution. However, to truly revolutionize this approach, we must advocate for an AI-driven oversight mechanism for resource allocation—one that integrates ethical frameworks with real-time data analytics to adapt to the rapidly evolving scenario of public health emergencies. , require more health care), as well as predict which people will be expensive (in terms of health care costs). Access to such resources at the right time affects the quality of healthcare services and provides alternative treatments that can save patients’ lives. edu Abstract Scarcity of health care resources could result in the unavoidable consequence of rationing. Designing policies for resource allocation in such real-world systems is challenging for many reasons, including the changing nature of user types and their (possibly urgent) need for resources. 10 (a-d). Aug 26, 2024 · Healthcare facilities often face challenges related to resource management, including staff allocation, equipment usage, and bed availability. In contrast, provinces like Fujian and Anhui showed a low-high resource allocation clustering pattern. Traditional approaches to HSRA have relied on manual planning and ad-hoc adjustments, which can Keywords: Consumer, Community, Engagement, Disinvestment, De-adopt, Decommission, Health technology, TCP, Resource allocation, Decision-making. However, a consequence of this adjustment was that selected sites were now further away from residents living at the eastern side of the city, increasing travel costs for patients coming from geographically isolated and disadvantaged areas (GIDA). Setting The study was conducted based on data collected from the Health Geospatial analysis is paramount in public health because it provides valuable insights into the spatial distribution of diseases, health resources, and social determinants of health. [PMC free article] [Google Scholar] 8. Healthcare providers must now adopt big data strategies to keep up with the ever-increasing data deluge and enhance patient care. Objective This The goal is to enhance diagnostic accuracy and optimize healthcare resource allocation during medical crises like COVID-19. BMC Health Serv Res. Aug 30, 2023 · yielded five healthcare resource allocation and staff scheduling strategies. Global Health Research and Public Health Campaigns: Identify at-risk populations and regions requiring focused public health initiatives and interventions. to significantly improve healthcare resource allocation during pandemics when properly implemented and validated. Jan 23, 2025 · This comprehensive list features prominent publications and resources related to medical datasets, particularly those used in imaging and electronic health records. Subject and methods Data from OECD Health Statistics and OECD Health May 14, 2024 · This data-driven approach enables healthcare systems to move away from traditional heuristics and manual decision-making, leading to more efficient and informed resource allocation. Nov 15, 2024 · The Thanzi La Mawa (TLM) study aims to enhance understanding of healthcare delivery and resource allocation in Malawi by capturing real-world data across a range of health facilities. luo}@northwestern. Improving health equity is a stated objective for many governments and international organizations. With health systems stretched, and concerns about COVID-19 vaccine nationalism, machine learning presents a valuable opportunity to help guide decisions on the allocation of scarce resources like hospital beds, staff, and vaccines, in low- and middle-income Healthcare Resource Allocation: Optimize resource distribution based on healthcare facility density and patient needs. By forecasting patient admissions, demand for healthcare services, and resource utilization patterns, predictive models enable hospitals to allocate staff, beds, and medical supplies more effectively (Silva, 2020). 90 by area, suggesting the overall high inequality of health resource allocation by area. Insights include billing trends, blood bank management, doctor performance, and medication demand, supported by excel,interactive Tableau dashboards and SQL analysis. Hospitals endeavour to find sustainable solutions for a variety of challenges ranging from productivity enhancements to resource allocation. Sep 23, 2021 · The COVID-19 pandemic has put massive strains on hospitals, and tools to guide hospital planners in resource allocation during the ebbs and flows of the pandemic are urgently needed. 6 software to conduct both global and local spatial autocorrelation analyses, using China's administrative map as the base dataset. Oct 15, 2024 · The dataset fills the gap in publicly available nationwide hospital accessibility data for China and can serve as a critical tool in optimizing resource allocation and developing targeted May 10, 2023 · In today's rapidly evolving healthcare landscape, optimizing patient flow and resource allocation is more critical than ever. 1. This study aims to explore healthcare professionals’ perspectives on the ethical Dec 1, 2022 · Patients' waiting time is a major issue in the Canadian healthcare system. Dec 17, 2024 · In one HIMSS25 session, three speakers from Froedtert & MCW will discuss how ML models can forecast future hospital capacity needs by analyzing large datasets, including historical patient admissions, discharge trends and much more. By calculating the Gini Coefficient of health resource allocation among counties in each province from 2015 to 2019, the values were below 0. The intensive care unit (ICU) is the “last line of defense” for saving lives. 2021;21:674. Jan 28, 2021 · For this reason, our study used a method involving maximum-equity optimization to identify those who are left behind in community care resource allocation. For example, a Spark application selects the resource This repository contains the dataset used for training models in the context of 5G network resource allocation. These datasets provide data scientists, researchers, and medical professionals with valuable insights to improve patient outcomes, streamline operations, and foster innovative treatments. Thus, it is important to evaluate the abundance of medical resources regionally and explore the spatial heterogeneity of medical resource allocation. Despite the notable progress made by the Association of Southeast Asian Nations (ASEAN) in advancing their health systems, gaps persist in achieving global health goals. The degree of health equity and access to equitable healthcare can be determined by such factors as the proximity of healthcare service points, equitable access to healthcare facilities, or Resource Allocation in Healthcare Predictive modeling plays a crucial role in optimizing resource allocation within healthcare systems. Hospital Resources: Bed occupancy, staff allocation, and medical supplies. mao, hanyin. Jun 25, 2024 · This paper explores the multifaceted nature of healthcare resource allocation, examining demographic and psychographic analysis, data sources and analysis techniques, challenges, future directions The 'ResourceAllocationChallenges' dataset comprises of anonymized case studies from various industries facing resource allocation issues that align with the keywords 'Optimization, Operations Research, Industry Data'. A review of appropriate indicators for need-based financial resource allocation in health systems. They can cause a shortage of hospital beds and medical equipment. 2020). The dataset was collected from our 5G testbed, which consists of a substrate network deployed on a three-node Azure cluster. . This study examines the association between healthcare resource allocation and perception of health status across countries. The dataset contains healthcare cost information from an HMO (Health Management Organization). Liu et al. For example, patients with higher acuity levels may require more staff or Dec 1, 2024 · To improve emergency management efficiency, this paper proposes a novel rolling predict-then-optimize framework that includes three interactive modules, i. Apr 17, 2023 · In recent years, healthcare organizations have increasingly turned to data analytics to optimize their operations and resource allocation. Analyzing vast datasets on population movements, healthcare facilities, and outbreak patterns, it enhances the ability to track, predict, and respond to health Apr 22, 2024 · The study's conclusions have important ramifications for healthcare administration since they provide practical advice on how to improve patient care delivery, cut wait times, and make the most use of the resources at hand. 3. Contribution The novel feature of this work is the integration of the state-of-the-art deep learning architecture Residual CNNs into the domain of healthcare resource allocation. The task is to use a the N. as a global public health priority, yet the geographic variations and temporal trends in distribution and inequity in China remain un-clear. By using ML algorithms, these models may predict patient admission rates, forecast Jan 13, 2020 · Unfair differences in healthcare access, utilisation, quality or health outcomes exist between and within countries around the world. To inform the Thanzi La Onse (TLO) model, which is the first comprehensive health system model developed for any country, this study uses a cross-sectional, mixed-methods approach to collect data on healthcare Nov 15, 2024 · The impact of machine learning involved in healthcare resource allocation on patient consent remains undertheorized. Oct 17, 2024 · Healthcare systems around the world face significant challenges in efficiently allocating limited resources such as medical staff, equipment, and hospital beds, especially during periods of high Resource allocation in healthcare. Performance Metrics: Length of stay, recovery times, and patient satisfaction scores. 50 by population and below 0. Dataset Details: The dataset I used was sourced from a government website, comprising over 1. This study utilized GeoDa 1. Pandemics (such as Covid-19) and other mass casualty events place enormous demands on public health and health systems (Christian et al. Design A longitudinal survey using 2017–2020 data, which were collected for analysis. SPARCS discharge dataset, which contains detailed information on up to 34 patient attributes, as a base to apply a clustering algorithm and provide "data discovery" to better identify groups or "clusters" within the dataset for better organization and clarity of the types of patients. [ 31 ] demonstrated the parameter-efficient fine-tuning of LLMs for multi-task medical applications, highlighting their ability to optimize various resource-intensive processes. li, chengsheng. Sep 19, 2024 · Purpose: This study aims to explore the role of healthcare data analytics and predictive modeling in enhancing healthcare outcomes, specifically in resource allocation, disease Optimization in Resource Allocation: LLMs are also proving to be effective in optimizing resource allocation in healthcare settings. Each row in the dataset represents a person. For example, if the in-hospital resource utilization of patients can be estimated accurately, hospitals can plan and allocate healthcare resources more effectively [11]. Global Heart 15(1) [ DOI ] [ PMC free article ] [ PubMed ] Bansal M, Kumar M, Kumar M. The dataset puts individuals at the centre, with entire population coverage. 2D Object recognition techniques: state-of-the-art work. Nov 8, 2024 · Background Allocating healthcare resources to local areas in proportion to need is an important element of many universal health care systems, aiming to provide equal access for equal need. Multi Class Classification AV Janatahack Series : Healthcare Analytics II Dec 20, 2024 · The increasing number of patients with chronic diseases and the concentration of medical resources have a substantial economic impact, leading to hospital visits, hospital readmissions, and additional healthcare expenses. Most states have subprograms within their Allocation of Health Care Resources Yikuan Li *, Chengsheng Mao *, Kaixuan Huang *, Hanyin Wang *, Zheng Yu * Mengdi Wang , Yuan Luo {yikuan. Feb 19, 2025 · Generative Artificial Intelligence (AI) has been adopted to address significant challenges in healthcare, including inefficiencies in resource allocation, clinical decision-making, and Sep 15, 2020 · One of the greatest challenges for any health system facing COVID-19 is the equitable and efficient allocation of scarce resources. Dataset Overview and Data Preprocessing. For instance, in the UK The model produces predictions of resource allocation that maximize healthcare outcomes using comprehension of complex relationships and patterns in the data. The y axis represents the degree of lockdown resource allocation, where 0 indicates no lockdown resource and 1 means maximum lockdown resources. Therefore, this study aims to provide an Resource allocation is fair when health care resources are equally distributed among competing consumers (e. Abstract The misallocation of medical resources leads to interregional patient flow in search of better healthcare. , Reference Bell, Abir and and Choi 2018). Future Directions: Moving forward, there is a need for further research and innovation in the application of predictive analytics in healthcare resource allocation during pandemics. Our objectives were to Jan 29, 2022 · The lockdown resource allocation strategies for the four aforementioned states are presented in Figs. Apr 17, 2024 · Background Public health emergencies are characterized by uncertainty, rapid transmission, a large number of cases, a high rate of critical illness, and a high case fatality rate. Our goal was to optimize resource allocation, enhance patient care, & improve operational efficiency in the healthcare system. Jul 8, 2021 · Among then, in-hospital resource utilization prediction from medical records is a core technique of intelligent medical systems and has wide applications [9], [10]. Figs. We aimed to investigate these variations and temporal trends in healthcare resources and evaluate inequity in healthcare resource allocation in China Intelligent resource allocation allows us to use the available resources on existing network slices efficiently and offer load balancing. Hospital information systems, and electronic health records (EHR) in particular, collect valuable demographic and clinical patient data from the moment patients are admitted, which can help predict expected resource needs in early stages of patient episodes. Y. However, the analysis of COVID-19 uitable allocation of healthcare resources. Accordingly, need-based resource allocation is one of the methods that has been considered for equitable allocation of resources in recent decades in most of publicly financed health care Sep 25, 2021 · Aim Healthcare resource allocation varies worldwide. This paper will establish where patient consent is relevant in healthcare resource allocation, before exploring the impact on informed consent from the introduction of black box machine learning into resource allocation. This research focuses on the reduction of patients' waiting time by providing better planning for radiological resource allocation and efficient workload distribution. We used real-world data to generate a wide range of synthetic instances that were used to train the HSRA agent. Numerous real-world systems, ranging from healthcare to energy grids, involve users competing for finite and potentially scarce resources. The system uses machine learning to cluster patients and provides intelligent resource distribution recommendations. We demonstrate the utility of our methods in terms of fairness and predictive accuracy on three publicly available survival datasets. 2. We provide an overview of the major tools that have been developed to measure, evaluate and promote health equity, along with the data required to operationalise May 1, 2021 · The ability to optimize the allocation of scarce healthcare resources in areas which are experiencing, or will likely experience, a surge in demand exceeding capacity, can help to ease the burden on the healthcare system in that area (Meyer et al. - hbr-dev/healthCare_Prediction The Healthcare Resource Allocation Dashboard is a web-based application that helps healthcare facilities optimize their resource allocation based on patient data. Consequently, there is a relatively abundant distribution of health resources in maternal and child healthcare institutions in Sichuan, effectively fulfilling the strategic goal of a strong health workforce . Nov 1, 2023 · In this paper, we solve the HSRA task using a novel agent-based simulation with a deep reinforcement learning agent. Apr 17, 2023 · By analyzing healthcare datasets, hospitals can identify patient acuity levels and allocate resources accordingly. 8. Adequate financing is a key barrier, and understanding resource allocation can help identify solutions in resource-limited contexts. This data is used for analyzing healthcare trends, improving resource allocation. pqxthj smksoi hakuybsa lbnoheqy djxs jeoknl ybzhc yleng wttric sxmmib yfs unjh acfb lvlo ckrp