SCI Abstract

search
+
Blockchain-based secure and smart healthcare IoT system using hybrid consensus mechanism with an honest block
Blockchain-based secure and smart healthcare IoT system using hybrid consensus mechanism with an honest block
The healthcare sector is proliferating day by day by smartly securing confidential data and providing access to their rele...
Markets matter: a simulation study of the bias-variance trade-off in comparison group selection for difference-in-differences analysis
Markets matter: a simulation study of the bias-variance trade-off in comparison group selection for difference-in-differences analysis
Recent research reveals many pitfalls when selecting a comparison group for difference-in-differences analyses of observat...
A step-by-step guide to causal study design using real-world data
A step-by-step guide to causal study design using real-world data
Due to the need for generalizable and rapidly delivered evidence to inform healthcare decision-making, real-world data hav...
ConvMixer deep learning model for detection of pneumonia disease using chest X-ray images
ConvMixer deep learning model for detection of pneumonia disease using chest X-ray images
Pneumonia is a common and fatal disease in children nowadays. It infects the lungs resulting in difficulties in breathing....
Relationship and factors of technical efficiency and quality of hospital care: the federal state system of Germany
Relationship and factors of technical efficiency and quality of hospital care: the federal state system of Germany
Healthcare is one of the most important segments of the public sector. The health services segment affects every individua...
Evaluating methods of outlier detection when benchmarking clinical registry data–a simulation study
Evaluating methods of outlier detection when benchmarking clinical registry data–a simulation study
Increasing interest in the public reporting of health provider outcomes and outlier identification using benchmarked clini...
Osteo fracture identification using deep learning techniques
Osteo fracture identification using deep learning techniques
Fractures of bone represent a prevalent medical issue in human beings. These fractures manifest as a consequence of variou...
Using balancing weights to compare performance across facilities providing family planning services in Kenya
Using balancing weights to compare performance across facilities providing family planning services in Kenya
Assessing the extent to which the quality of family planning (FP) delivery in facilities makes a difference for key outcom...
Combining multiple sources of relationships in a network to advance understanding of physicians’ beliefs regarding peer-effects
Combining multiple sources of relationships in a network to advance understanding of physicians’ beliefs regarding peer-effects
Patient-sharing physician networks are increasingly recognized as valuable tools for examining physician relationships in ...
Methodological considerations for optimal variable selection in machine learning for health services research
Methodological considerations for optimal variable selection in machine learning for health services research
Effective variable selection is central to the success of health services research, where large, complex datasets often in...
Propensity score weighting analysis with complex survey data for estimating population-level treatment effects on survival: a simulation study
Propensity score weighting analysis with complex survey data for estimating population-level treatment effects on survival: a simulation study
Propensity score weighting (PSW) is a valuable tool for estimating treatment effects on survival outcomes in observational...
Economic considerations of office-based methadone as an opioid use disorder treatment option: a cost-effectiveness analysis and methodological comparison
Economic considerations of office-based methadone as an opioid use disorder treatment option: a cost-effectiveness analysis and methodological comparison
Optimizing treatment for people with opioid use disorder (OUD) represents a critical priority to ameliorate the ongoing op...
The impact of knowledge of hospitalization on mortality predictions
The impact of knowledge of hospitalization on mortality predictions
Despite the rapid advancement of machine learning algorithms, the important problem of distinguishing patients based on th...
Estimating an intervention’s effects on health care disparities within and between physician organizations: decomposing the effects of health system affiliation
Estimating an intervention’s effects on health care disparities within and between physician organizations: decomposing the effects of health system affiliation
Vertically integrated health systems are expanding across the U.S., but there is no evidence that system-affiliated provid...
Health technology adoption model for big data integration in hospitals: a systematic approach in the era of health 4.0
Health technology adoption model for big data integration in hospitals: a systematic approach in the era of health 4.0
The research addresses the challenges of adopting emerging technologies, such as Big Data, in hospitals, where complexity ...
Blockchain based E-procurement system in healthcare
Blockchain based E-procurement system in healthcare
Public procurement, a critical facet in acquiring goods and services, has garnered scholarly attention in e-procurement. H...
Exact-matching algorithms using administrative health claims database equivalence factors for real-world data analysis based on the target trial emulation framework
Exact-matching algorithms using administrative health claims database equivalence factors for real-world data analysis based on the target trial emulation framework
Real-world data have become increasingly important in medical science and healthcare. A new, effective, and practically fe...
Evaluating medical providers in terms of patient health disparities: a statistical framework
Evaluating medical providers in terms of patient health disparities: a statistical framework
Statistical methods for provider profiling are designed to measure healthcare quality and create incentives for low-qualit...
Evaluation of survey delivery methods in a national study of Veteran’s healthcare preferences
Evaluation of survey delivery methods in a national study of Veteran’s healthcare preferences
Researchers often use survey methods to elicit patient perspectives on their healthcare. Survey results are often subject ...
ATRAcTR (Authentic Transparent Relevant Accurate Track-Record): a screening tool to assess the potential for real-world data sources to support creation of credible real-world evidence for regulatory decision-making
ATRAcTR (Authentic Transparent Relevant Accurate Track-Record): a screening tool to assess the potential for real-world data sources to support creation of credible real-world evidence for regulatory decision-making
Adoption and use of real-world data (RWD) for decision-making has been complicated by concerns regarding whether RWD was f...
Propensity score weighting with survey weighted data when outcomes are binary: a simulation study
Propensity score weighting with survey weighted data when outcomes are binary: a simulation study
Propensity score methods have been widely adopted in observational studies, however research on propensity score-based wei...
Inspecting the quality of care: a comparison of CUSUM methods for inter hospital performance
Inspecting the quality of care: a comparison of CUSUM methods for inter hospital performance
During the past 14 years, a clinical audit has been used in the Netherlands to provide hospitals with data on their perfor...
Descriptive and inferential analysis of features for Dysphonia and Dysarthria Parkinson’s disease symptoms
Descriptive and inferential analysis of features for Dysphonia and Dysarthria Parkinson’s disease symptoms
Parkinson’s disease is related to nervous system disorders in human beings. In this paper, the status of Parkinson&#...
Bootstrap approach to disparity testing with source uncertainty in the data
Bootstrap approach to disparity testing with source uncertainty in the data
This article addresses the problem of one-sided hypothesis testing on the means of two populations when there is uncertain...
Emergency department pathology order support tool (ED POST): a protocol using qualitative inquiry to inform design and development of a prototype to reduce low value care
Emergency department pathology order support tool (ED POST): a protocol using qualitative inquiry to inform design and development of a prototype to reduce low value care
Laboratory tests have an important role in informing diagnosis and aiding in the determination of appropriate courses of m...
Usability evaluation of interoperability interfaces in electronic medical record systems
Usability evaluation of interoperability interfaces in electronic medical record systems
Interoperability plays a crucial role in facilitating seamless data sharing across system boundaries, necessitating collab...
Matching on propensity and prognostic scores can lead to different estimates of heterogeneous treatment effects: a case study and simulation
Matching on propensity and prognostic scores can lead to different estimates of heterogeneous treatment effects: a case study and simulation
The purpose of this study is to illustrate how matching approaches based on different balancing scores lead to variations ...
Evaluation via simulation of statistical corrections for network nonindependence
Evaluation via simulation of statistical corrections for network nonindependence
Social processes and social context are increasingly recognized as key factors shaping health-related behaviors and outcom...
Diabetes Belt has lower efficiency in providing diabetes preventive care than surrounding counties
Diabetes Belt has lower efficiency in providing diabetes preventive care than surrounding counties
Annual preventive care is essential for diabetes patients to reduce the risk of complications including hypoglycemic event...
Limitations of the inter-unit reliability: a set of practical examples
Limitations of the inter-unit reliability: a set of practical examples
Healthcare quality measures are statistics that serve to evaluate healthcare providers and identify those that need to imp...
Load More
format_indent_increase