- Healthcare resource allocation dataset Historical Context and Evolution . This work covers various uses, challenges, and potential paths in this emerging field. This study examines the association between healthcare resource allocation and perception of health status across countries. For example, if the in-hospital resource utilization of patients can be estimated accurately, hospitals can plan and allocate healthcare resources more effectively [11]. 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. Simulated the scenario between edge servers and users with a clear graphic interface. Resource Mar 29, 2024 · 3. 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. About SHARE. , intra-patient The goal is to enhance diagnostic accuracy and optimize healthcare resource allocation during medical crises like COVID-19. 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 Aug 5, 2024 · Healthcare is a sector where a good planning is in need to optimize the use of healthcare equipments. This study applies Andersen’s Behavioral Model of Health Services Use, focusing on predisposing, enabling, and need factors, using data from the 2022 Turkey Health Survey by TUIK. Dec 1, 2024 · Severe shortages of healthcare resources are major challenges in pandemics, especially in their early stages. To improve emergency management efficiency, this paper proposes a novel rolling predict-then-optimize framework that includes three interactive modules, i. Each row in the dataset represents a person. Jun 6, 2024 · Efficient staff allocation and workload management are critical challenges within the healthcare industry, impacting patient satisfaction and treatment timeliness. , Obamacare) provides guarantees for the pursuit of preventive healthcare, but no pointers to healthcare access, resource allocation, or other geographical-relevant issues 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. 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. The planning for resource allocation impacts patients' waiting time in medicare settings. 3. For example, healthcare providers can use Tableau to identify areas where costs can be reduced without compromising patient care. Keyphrases: Allocation challenges, Complex patient needs, Healthcare resource allocation, Optimization, data-driven approach, neural network algorithms The healthcare industry has recently faced the issues of enhancing patient care, streamlining healthcare operations, and offering high-quality services at reasonable costs. Healthcare providers must now adopt big data strategies to keep up with the ever-increasing data deluge and enhance patient care. g. 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. In some publicly funded systems, resource allocation is a pressing issue because resources Keywords: Consumer, Community, Engagement, Disinvestment, De-adopt, Decommission, Health technology, TCP, Resource allocation, Decision-making. Hospitals endeavour to find sustainable solutions for a variety of challenges ranging from productivity enhancements to resource allocation. Introduction. Feb 1, 2023 · Further, in (Nguyen et al. Resources 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. Flexible Data Ingestion. , 2024). In 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. It takes a lot of time and effort to do this task manually. Oper. Jan 24, 2024 · Public Health Officials: To monitor trends in health outcomes and allocate resources for disease prevention and treatment. 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. It helps healthcare professionals forecast the progression of diseases, plan and optimize resource allocation, and ultimately shift from reactive to proactive care. Quantum computing: The emergence of quantum computing holds immense potential for accelerating AI-driven healthcare research and simulations. Optimization can even save the lives of patients when resulting, for example, in more efficient time management in hospitals. The code includes implementations of hierarchical clustering, k-means clustering, spectral clustering, and DBSCAN applied to state-level and country-level datasets obtained from government websites. Given the recent achievements of China in economic development and healthcare, this study takes China as an example to investigate the dynamic geographical distribution patterns of medical resources, utilizing data on healthcare resources from 290 Oct 29, 2024 · Overview Summary. 4. Healthcare systems often operate under conditions of uncertainty, with rapidly evolving patient Allocation of Health Care Resources Yikuan Li *, Chengsheng Mao *, Kaixuan Huang *, Hanyin Wang *, Zheng Yu * Mengdi Wang , Yuan Luo {yikuan. The first instance problem considers Race as the sensitive attribute, and the associated Fair-Diverse model captures inequalities across different racial subgroups . Nov 24, 2024 · The healthcare dataset provides information about patients, diseases, hospitals, and regions in India. 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 Aug 29, 2023 · Healthcare prediction has been a significant factor in saving lives in recent years. 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. 2017. edu Abstract Scarcity of health care resources could result in the unavoidable consequence of rationing. Hospital Resources: Bed occupancy, staff allocation, and medical supplies. Y. Harris C, Ko H, Waller C, Sloss P, Williams P. 50 by population and below 0. 4 Optimizing Resource Allocation Effective resource allocation is critical for healthcare organizations to deliver high-quality care while managing costs. While these methodologies are useful for evaluating potential access opportunities, they often 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 Intelligent resource allocation allows us to use the available resources on existing network slices efficiently and offer load balancing. , 2007, Asante and Zwi, 2009, Fagerstrom, 2009). health facilities registered up to 22 May 2021 from the dataset of Nepal Health Facility Registry. Predictive analytics can address this through predictive staffing models, ensuring personnel is optimally utilized. 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. The Resource Allocation Module (RAM) and the Effective Prediction Module (EPM) are implemented using python. 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]. , 72 (3) investigated the diverse applications of analytics in healthcare, ranging from improving clinical outcomes to optimizing operational efficiency and resource allocation. Currently, there is no universally accepted standard for health care resource allocation protocols, resulting in Jan 13, 2020 · Unfair differences in healthcare access, utilisation, quality or health outcomes exist between and within countries around the world. This study systematically evaluated the similarities and differences in the application of coronavirus disease (COVID-19) resource allocation models and analyzed Dec 15, 2023 · Five principles should guide these efforts: (1) promote health and health care equity during all phases of the health care algorithm life cycle; (2) ensure health care algorithms and their use are transparent and explainable; (3) authentically engage patients and communities during all phases of the health care algorithm life cycle and earn Oct 18, 2024 · In critical healthcare environments, timely and informed decision-making is paramount to patient well-being and outcomes. 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. li, chengsheng. 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 Mar 5, 2024 · Background There is a dearth of research combining geographical big data on medical resource allocation and growth with various statistical data. Design A longitudinal survey using 2017–2020 data, which were collected for analysis. And ICU resources play a critical role in the treatment of critical illness and combating public health emergencies. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers Oct 12, 2021 · Background Spatial allocation of medical resources is closely related to people’s health. luo}@northwestern. Electronic Health Record Analysis for Healthcare Resource Allocation in India. 2D Object recognition techniques: state-of-the-art work. , 2023; Rafi, 2022; Jeyaraj, and Narayanan, 2020). 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. Sep 9, 2021 · Site selection of health facilities is critical in ensuring universal access to basic healthcare services. Methods Country data sets were gathered in 2008–2010 through literature reviews, website searches and a public call for cost data. Geospatial data can also be used to link patient health metrics to population-level socioeconomic and demographic data in order to analyze the effect of SDoH on health outcomes ( 4 ). admission = = = =?? Geospatial analysis can help enhance resource allocation, disease surveillance, and public health planning (3). Future studies o • • • • • • • Dec 8, 2020 · 1. Mar 1, 2022 · Using Pop. and Chung, Wei-Ho}, booktitle={2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)}, title={Deep Reinforcement Learning-Based Resource Allocation for Cellular V2X Communications}, year={2023}, volume={}, number={}, pages={1-7}, keywords={Deep learning;Vehicular and wireless technologies Dec 1, 2023 · A novel healthcare resource allocation decision support tool: A forecasting-simulation–optimization approach. Moreover, literature that demonstrates the application of facility location models in the Philippine healthcare setting remains during public health emergencies or in resource-constrained health care settings, such as amid the pandemic of COVID-19. Methods Using medical geographic big data, this study analyzed 369 Chinese cities and constructed a medical resource evaluation model based on the grading The task is to use a the N. Machine learning methods provide a powerful approach to analyze these factors and their combined impact on 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 forecasting, and This project analyzes healthcare data from 2019 to May 2024, optimizing patient care, resource allocation, and financial management. For instance, in the UK 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 These are datasets that provide location information about healthcare services and facilities, such as hospitals, clinics, pharmacies and other healthcare providers. 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. Healthcare resource allocation has always been a critical issue due to the limited availability of operating rooms (ORs), recovery beds, and healthcare staff. Our goal was to optimize resource allocation, enhance patient care, & improve operational efficiency in the healthcare system. It is integral that countries identify optimal allocation methods to distribute healthcare resources to ensure and sustain good population heath. Cost reduction: Efficient resource management can lead to cost savings by reducing the need for emergency staffing and resource shortages. Performance Metrics: Length of stay, recovery times, and patient satisfaction scores. However, the majority of existing literature targets exploring the length of stay, waiting time, treatment time, test turnaround time, and boarding time within a single healthcare institution and between different departments within the institution (i. AI algorithms can analyze complex datasets, including patient admissions, staff availability, and operational capacities, to optimize the allocation of human and material resources. edu {kaixuanh, zhengy, mengdiw}@princeton. Soc. [PMC free article] [Google Scholar] 8. 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. Oct 16, 2024 · In healthcare, prescriptive analytics might suggest the best course of treatment for a patient based on their medical history, current health status and data from similar patients. To this end, this article Mar 19, 2018 · Background Policy makers require information on costs related to inpatient and outpatient health services to inform resource allocation decisions. The search for related articles was based on several keywords related to resource allocation. These crucial issues include general healthcare administration, resource allocation, staffing, patient care priorities, and effective scheduling. Therefore, it is very important to focus upon hospital bed management, and it is much dependent on patient length of stay. This is the fourth in a series of papers exploring a program of Sustainability in Health care by Allocating Resources Effectively (SHARE). Optimized Resource Allocation: Data analytics helps healthcare organizations allocate resources more effectively by identifying areas of inefficiency, waste, and overutilization. In the domain of health care, there is a rapid development of intelligent systems for analyzing complicated Apr 18, 2024 · This foresight enables healthcare organizations to prepare for and mitigate potential health crises by adjusting resource allocation, staffing, and patient care strategies accordingly. Jun 5, 2024 · 1. For instance, by analyzing historical data and current health patterns, Power BI can help predict flu outbreaks, allowing hospitals to stock up on necessary The dataset contains healthcare cost information from an HMO (Health Management Organization). 1. Many hospitals still rely on manual methods for patient record management and staff assignment, resulting in uneven work distribution and patient dissatisfaction due to delayed treatments. Global Heart 15(1) [ DOI ] [ PMC free article ] [ PubMed ] Bansal M, Kumar M, Kumar M. The section also discusses Python 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. They can cause a shortage of hospital beds and medical equipment. Setting explicit thresholds is politically sensitive, however, for these very reasons. Health resources, as a major component of the provision of medical services, are extremely limited. The Mobile HEALTH (MHEALTH) dataset contains vital signs and body motion recordings for 10 volunteers during several physical activities. To address these pressing issues, we In today's overloaded and costly healthcare systems, more research focusing on hospital resource optimization is needed. Therefore, this study aims to provide an Apr 13, 2016 · There has been much discussion of resource allocation in medical systems, in the United States and elsewhere. Total annual budgets given to ICBs cover the majority of NHS spending. Analyzing vast datasets on population movements, healthcare facilities, and outbreak patterns, it enhances the ability to track, predict, and respond to health Nov 15, 2024 · The impact of machine learning involved in healthcare resource allocation on patient consent remains undertheorized. The National Notifiable Diseases Surveillance System (NNDSS) is a nationwide collaboration that enables all levels of public health—local, state, territorial, federal and international—to share notifiable disease related health information. Here are 15 top open-source healthcare datasets that are making a significant impact Sep 25, 2021 · Aim Healthcare resource allocation varies worldwide. J. How to rationally allocate and efficiently use health resources has become an urgent problem in the field of hospital management. Resource optimization can reduce costs and improve healthcare outcomes. Jan 12, 2025 · Regional Healthcare Demand: Cities with higher patient concentrations, such as Atlanta and Baltimore, may indicate a greater demand for healthcare services. the challenges, usage of resources, and allocation of resources on the healthcare dataset. mao, hanyin. Abstract The misallocation of medical resources leads to interregional patient flow in search of better healthcare. 4F - CS - 27, Ansal Plaza Sec - 1,Vaishali Ghaziabad - 201010 Delhi NCR, India Phone: +91-8076967519 - 0120-4968631 Email: query@kbvresearch. Pharmaceutical Companies: To guide research and development efforts based on disease prevalence. to optimize resource allocation and reduce waste. Setting The study was conducted based on data collected from the Health Feb 14, 2024 · Background A lack of health resources is a common problem after the outbreak of infectious diseases, and resource optimization is an important means to solve the lack of prevention and control capacity caused by resource constraints. 90 by area, suggesting the overall high inequality of health resource allocation by area. Subject and methods Data from OECD Health Statistics and OECD Health Healthcare expenditure prediction plays a crucial role in resource allocation, policy formulation, and decision-making processes within healthcare systems. 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. Jan 1, 2025 · Aim/Purpose: To optimize healthcare resource allocation using residual convolutional neural networks. Feb 13, 2024 · In healthcare, the ability to predict future demand with precision is not just a competitive advantage. The COVID-19 pandemic further exposed the fragility of healthcare systems, highlighting the need for more efficient resource allocation strategies. , and Chicago-COVID-Zipcode datasets, we evaluate the allocation results of our proposed resource allocation framework at the zip-code level in the city of Chicago. In this paper, we Aug 20, 2024 · This paper explores the application of machine learning algorithms to optimize cloud resource management. By accurately predicting patient outcomes, healthcare providers can optimize resource allocation, improve care coordination, and enhance patient engagement, ultimately leading to better health outcomes and reduced healthcare costs. To understand the key drivers for why some people are more expensive (i. In words, this equation states that we wish to maximize the health outcomes H, which will result from a particular budget allocation {B 1,…,B n}, such that our total budget T is equal to or less than our budget constraint C. 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'. e. Improving health equity is a stated objective for many governments and international organizations. 1. Epidemiological Studies: Analyze the distribution of health facilities in relation to disease prevalence. The proposed framework satisfied fairness during the resource sharing between edge service providers and the ASIA PACIFIC - CORPORATE OFFICE. Nov 16, 2023 · and optimizing resource allocation for improved healthcare services. Jan 17, 2021 · this study, the dataset for cost of health insurance is used [2]. In the domain of health care, there is a rapid development of intelligent systems for analyzing complicated data relationships and transforming them into real information for use in the prediction process. The PLACES Data Portal includes PLACES and 500 Cities (2016-2019) data for all current and prior releases. Leveraging electronic health records to identify high-risk populations and optimize healthcare resource allocation in underserved regions (Srivastava, et al. We utilize datasets that capture key performance metrics such as CPU usage, memory May 10, 2023 · In today's rapidly evolving healthcare landscape, optimizing patient flow and resource allocation is more critical than ever. By analyzing healthcare datasets, hospitals can gain Dec 1, 2024 · Additionally, some research employs the two-step floating catchment area method to measure healthcare accessibility, aiming to reveal patterns of spatial equity in healthcare resource allocation (Dai, 2010; Panagiotopoulos & Kaliampakos, 2018). Resource Allocation: Smaller cities Dynamic Resource Allocation in 5G Network Slicing This table provides data on network slicing in 5G, including information on LTE/5G categories, packet loss rate, packet delay, IoT, GBR, Non-GBR, AR/VR/Gaming, healthcare, industry 4. A healthcare algorithm trained on cost data to predict patients’ health risk score were found to demonstrate algorithmic bias in underrating the severity of Black patients’ health conditions relative to their white counterparts, leading to under-provision of health care to Black patients. Jul 1, 2024 · In this survey, we looked for the latest articles and surveys on resource allocation in fog computing. Resource allocation in healthcare. However, within those planning areas, local providers and 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]. The data include estimates on health outcomes, preventive service use, health risk behaviors, disabilities, health status, and health-related social needs from the Behavioral Risk Factor and Surveillance System (BRFSS), as well as social determinants of health data from 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. 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. , Reference Christian, Sprung and King 2014; Bell et al. , 2018) a similar effort was presented to perform resource allocation effectively in MEC which offered resource packages and services to enhance the utilization of MEC resources in the given budget restraints. These datasets provide information on the types of land use in an area, which can help identify. This paper provides an overview of the application of data science in 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. - 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 Empowering AI for Dynamic Resource Allocation in 5G Networks 烙 Sep 14, 2024 · The POI dataset includes drugstores, clinics, THCs, and hospitals, and we extracted the locations of all hospitals and THCs. 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. management strategies (Adeghe et al. xlsx to analyze key metrics such as: Patient Demographics: Age, gender, and geographic distribution. Currently, there is no universally accepted standard for health care resource allocation protocols, resulting in different governments prioritizing patients Oct 31, 2024 · Background Numerous medical resource demand models have been created as tools for governments or hospitals, aiming to predict the need for crucial resources like ventilators, hospital beds, personal protective equipment (PPE), and diagnostic kits during crises such as the COVID-19 pandemic. For many hospitals and healthcare systems, it’s a necessity for survival. Apr 1, 2024 · As the healthcare industry continues to evolve, predictive analytics stands at the forefront of innovation, offering the promise of improved patient outcomes, reduced costs, and better resource Sep 15, 2020 · One of the greatest challenges for any health system facing COVID-19 is the equitable and efficient allocation of scarce resources. It explains the components of ARIMA models (autoregressive, moving average, differencing) and their suitability for stationary time series data. Adding to cart… The item has been added. Before Dec 20, 2024 · Implementing predictive analytics in healthcare empowers healthcare providers to take a data-driven approach to anticipating future events and making informed decisions. Regional Disparity Analysis: Identify healthcare deserts and address geographical gaps in medical services. Therefore, efficient staff scheduling, resource allocation, and patient This section introduces ARIMA models and their significance in healthcare. Nov 1, 2023 · Effective hospital staff and resources allocation (HSRA) is critical for optimizing healthcare delivery and ensuring that patients receive the care they need in a timely and cost-effective manner (Khashayar et al. The demand for hospital beds can vary due to certain reasons such as sudden outbreak of COVID-19 pandemic, spread of seasonal diseases and many more. Background: In the early stages, several traditional methods were adopted and implement-ed where H() represents the health outcomes under budget allocation {B 1,…,B n} and C is some overall budget constraint. Bahari A, Asadi F (2020) A simulation optimization approach for resource allocation in an Emergency Department Healthcare Unit’. 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. While these systems promise improved efficiency and decision-making, they also raise significant ethical concerns. This paper examines the efficiency of health system stages and @INPROCEEDINGS{10200293, author={Chung, Yi-Ching and Chang, Hsin-Yuan and Chang, Ronald Y. Tracking healthcare spending: Tableau can be used to track healthcare spending data, such as costs, per patient, insurance reimbursement rates, and medical supply costs. Insights include billing trends, blood bank management, doctor performance, and medication demand, supported by excel,interactive Tableau dashboards and SQL analysis. The intensive care unit (ICU) is the “last line of defense” for saving lives. Res. Optimizing resources to meet the moment calls for strategic planning powered by healthcare data analytics and effective demand forecasting. By analyzing healthcare datasets, hospitals can gain Dec 1, 2022 · Patients' waiting time is a major issue in the Canadian healthcare system. 0, IoT devices, public safety, smart city & home, smart transportation, and smartphones. and individuals seeking to optimize healthcare resource allocation and financial planning strategies. 30% of 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. ”[6] AHRMM Keys for Supply Chain Excellence include KPIs for supply chain performance such as: Perfect order rate Aug 29, 2023 · Healthcare prediction has been a significant factor in saving lives in recent years. 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. We 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. Pandemics (such as Covid-19) and other mass casualty events place enormous demands on public health and health systems (Christian et al. They are essential for analyzing access to healthcare and healthcare resource planning. to significantly improve healthcare resource allocation during pandemics when properly implemented and validated. Resource allocation: One of the most substantial applications of AI in hospital management is in the optimization of resource allocation . , data-driven demand prediction, healthcare resource allocation, and parameter rolling update. This type of analytics helps healthcare providers make more informed decisions about patient care, resource allocation and treatment strategies. It typically includes data on patient demographics, disease prevalence, hospital names and locations, and state-specific healthcare statistics. Here we are going to appraoch this problem using The project uses a healthcare dataset healthcare_dataset. 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 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 inception of data analytics in healthcare can be traced back to the early integration of electronic health records Nov 8, 2023 · Author summary Predicting patient flow is essential for improving efficiency, resource allocation, and process optimization. The reasonability of healthcare resource allocation was evaluated The Association for Health Care Resource & Materials Management (AHRMM) offers “key performance indicators (KPIs) that set the standard for supply chain management in the health care field. In large part, the discussion is driven by rising costs and the resulting budget pressures felt by publicly funded systems and by both public and private components of mixed health systems. Predictive modeling can play a crucial role in optimizing resource allocation by forecasting patient demand and identifying areas where resources are needed most. Objective This Sep 3, 2024 · The healthcare industry is undergoing a digital transformation driven by the availability of open-source datasets. wang, yuan. , require more health care), as well as predict which people will be expensive (in terms of health care costs). Multi Class Classification AV Janatahack Series : Healthcare Analytics II Leveraging SQL, Excel, Python, and IBM Cognos Analytics, we analyzed healthcare data, exploring patient admissions, illness severity, ward distribution, and hospital utilization. 2020). Optimize operational efficiency: Hospital administrators can use these predictions to better manage resource distribution, particularly during periods of high demand (e. 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). The insights gained from this analysis are intended to assist healthcare stakeholders in making informed decisions regarding patient care and resource allocation. , flu season, pandemics). As the healthcare industry continues to evolve, the integration of predictive analytics in personalized care is becoming increasingly essential for better patient outcomes and operational effectiveness. This research introduces an innovative approach that combines evolutionary game theory with deep learning techniques to revolutionize health decision-making in critical settings. Optimized time utilization frees caregivers for treating more patients and Resource allocation is fair when health care resources are equally distributed among competing consumers (e. 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. By calculating the Gini Coefficient of health resource allocation among counties in each province from 2015 to 2019, the values were below 0. Global Health Research and Public Health Campaigns: Identify at-risk populations and regions requiring focused public health initiatives and interventions. 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 The SARS-CoV-2 (COVID-19) pandemic has placed unprecedented demands on entire health systems and driven them to their capacity, so that health care professionals have been confronted with the difficult problem of ensuring appropriate staffing and resources to a high number of critically ill patients … 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. With the escalating costs and evolving healthcare needs globally, accurate forecasting of healthcare expenses has become imperative. To find the best resource with the right skills for the a specific project with certain requirements. . 2. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. This repository contains code and resources related to healthcare resource allocation strategies for managing disease outbreaks. Dec 26, 2024 · This approach not only enhances the quality of care but also optimizes resource allocation and reduces overall healthcare costs. It also enhances equipment and facility utilization by forecasting patient demand, reducing waste, and improving service delivery. Sep 1, 2004 · Practical experience, such as that from the “Oregon experiment” [16] and results from public surveys [15,17,18] suggest that such debate might result in an increase in the health-care package and resource allocation to health care. However, in many low and middle-income countries (LMICs) like the Philippines, site selection is traditionally based on political and pragmatic considerations. Sensors placed Healthcare Resource Allocation: Optimize resource distribution based on healthcare facility density and patient needs. This data is used for analyzing healthcare trends, improving resource allocation. 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 Resource allocation or resource management is a very difficult task in any company. This project focuses on analyzing healthcare data, such as patient health profiles, medical histories, and healthcare costs. The purpose of this paper is to provide a comprehensive overview of the NHS England is responsible for determining allocations of financial resources to integrated care boards (ICBs). However, the reliability of these demand models remains uncertain. By analyzing operational data, organizations can optimize staffing levels, reduce wait times, and improve patient flow, leading to better resource utilization and Jul 22, 2024 · Equality in health resource allocation based on Gini coefficient. This research focuses on the reduction of patients' waiting time by providing better planning for radiological resource allocation and efficient workload distribution. 1 Mobile HEALTH dataset. The applications of ARIMA models in healthcare are highlighted, including demand forecasting, epidemic prediction, and resource allocation. The UK National Health Service allocates resources to relatively large areas in proportion to need, using needs-weighted capitation formulae. May 24, 2021 · Early identification of resource needs is instrumental in promoting efficient hospital resource management. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Thus, it is important to evaluate the abundance of medical resources regionally and explore the spatial heterogeneity of medical resource allocation. Sep 15, 2023 · Scarcity of health care resources could result in the unavoidable consequence of rationing. Jan 24, 2025 · Despite these advantages, MEC systems still face limitations related to scalability and resource allocation, particularly when large datasets need to be processed simultaneously 53,56,57. regions) based on their needs to health care . This study aims to explore healthcare professionals’ perspectives on the ethical Feb 9, 2024 · It is imperative to evaluate small-area healthcare resource distribution from a spatiotemporal heterogeneity perspective. Multivariate regression analysis was used to explore the determinants of variability in unit costs using data from Algorithms Can Replicate or Remedy Racial Biases in Healthcare Resource Allocation. Aug 26, 2024 · Healthcare facilities often face challenges related to resource management, including staff allocation, equipment usage, and bed availability. 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 Jul 31, 2023 · Resource allocation is a challenge for many healthcare institutions. 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. Traditional approaches to HSRA have relied on manual planning and ad-hoc adjustments, which can Apr 17, 2023 · In recent years, healthcare organizations have increasingly turned to data analytics to optimize their operations and resource allocation. These datasets provide data scientists, researchers, and medical professionals with valuable insights to improve patient outcomes, streamline operations, and foster innovative treatments. Healthcare Providers and Hospitals: For planning healthcare services and interventions tailored to regional health needs. Methods Demand models typically Apr 17, 2023 · In recent years, healthcare organizations have increasingly turned to data analytics to optimize their operations and resource allocation. 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. com Decrease Quantity of Healthcare Resource Allocation Dataset Increase Quantity of Healthcare Resource Allocation Dataset. Mar 12, 2025 · Objective Predicting healthcare demand is essential for effective resource allocation and planning. 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. Consequently, artificial intelligence is rapidly transforming the healthcare industry, and thus comes the Nov 1, 2023 · A healthcare resource allocation generally plays a vital role in the number of patients treated (pnt) and the patient waiting time (wt) in healthcare institutions. Resource allocation is a sub-category of resource management, as shown in Fig. Dec 1, 2022 · Patients' waiting time is a major issue in the Canadian healthcare system. 20 Collected by the Ministry of Health and Population, Nepal, the dataset provides unique identification code, name, type and service information of each registered health facility in Nepal and keeps updating. Around 38. 5. May 5, 2022 · Each application of a fog network has different topology. The allocations process uses a statistical formula to make geographic distribution fair and objective, so that it more clearly reflects local healthcare need and helps to reduce health […] Patients benefit from improved health management, reduced hospitalizations, and better quality of life, while healthcare organizations can optimize resource allocation and patient care . , Reference Bell, Abir and and Choi 2018). zvkh qgbs bhou gpyzr hxzec fwxue lbo trkge joyvj rhm evqkp zxtg nryda nrzru bhjwb