Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 22 for “"Risk adjustment"”.
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Dynamic risk adjustment of prediction models using statistical process control methods
… decision makers. It has been used to construct risk-adjusted charts to track outcomes in the intensive care unit and the surgical arena, and to monitor hospital acquired infections. However, there are no reports of using SPC techniques to scrutinize the performance quality of a clinical model …
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Development and Comparative Predictive Validity of an Outpatient Medication Exposure Measure for Risk Adjustment Using Retrospective Claims Data
… CMS-HCC and CMS-RxHCC methodologies to improve risk-adjusted payments to Medicare Part C and Part D plans. Studies have identified prescription measures that predict future expenditures; however, many are easily manipulable by health plans or practitioners, thus limiting their utility as …
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Outcome and Resource Use of Patients with Liver Disease: Analysis of Chinese Electronic Medical Records
… to incorporate severity assessment and risk adjustment in order to generate robust results. Researchers worldwide have recognized the potential value of electronic medical record (EMR) and tremendous efforts are underway to advance outcome research using EMR. Chinese EMR provides us a …
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A Modern Statistical Approach to Quality Improvement in Health Care using Quantile Regression
… Accounting for the latter with clinical risk adjustment models is a complicated and controversial topic, as providers are increasingly paid based on their performance with respect to risk-adjusted quality measures. A modern approach to hospital quality improvement is developed by …
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Essays on the health economics of hospital quality
… quality, particularly through the estimation of risk-adjusted mortality rates (RAMRs) for hospitals. This work then examines the relationship between hospital quality for AMI patients and the volume of AMI patients. Chapter 2 proposes using machine-learning techniques, particularly random …
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International comparison of critically ill patients
… benchmarking care in the ICU and in research for risk-adjustment. [1] However, these scores lack generalizability beyond the patients on whom the scores were trained on. An international consortium, Global Open Source Severity of Illness Score (GOSSIS) Project, has put together various databases …
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Statistical Monitoring and Modeling for Spatial Processes
… In this work, we consider two main components: risk-adjusted monitoring and Bayesian hierarchical models for spatial data. Usually, if prior information about a process is known, it is important to incorporate this into the monitoring scheme. For example, when monitoring 30-day mortality rates …
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Predicting cardiovascular risks using pattern recognition and data mining.
… recognition and data mining techniques into risk prediction models in the clinical domain of cardiovascular medicine. The data is modelled and classified by using a number of alternative pattern recognition and data mining techniques in both supervised and unsupervised learning methods. …
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Mortality Risk Among Patients Who Present to Hospitals with Out-Of-Hospital Cardiac Arrest and ST-Elevation Myocardial Infarction
… can identify patients with a very high mortality risk upon hospital presentation may inform decision-making regarding emergent procedures. Within the Cardiac Arrest Registry to Enhance Survival (CARES), I included adult patients with OHCA and STEMI who presented from January 2013 to December 2019. …
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An examination of the factors influencing mutual fund performance
… here, analyzing whether fund managers make their risk decision to influence performance for the second part of the year based on their performance in the first part of the year. It can be concluded that family status, family size or market does not affect persistence in performance. The study …
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Applications of Control Charts in Medicine and Epidemiology
… for the fact that each patient has a different risk of death prior to undergoing a health care procedure. We propose a risk-adjusted survival time CUSUM chart (RAST CUSUM) for monitoring clinical outcomes where the primary endpoint is a continuous, time-to-event variable that is right censored. …
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Patient Preferences for Ultrasound Soft Sign Disclosure with Prior Negative cfDNA Screening
… conditions but can adjust an individual's risk for aneuploidy, primarily Down syndrome. In the age of noninvasive cell-free DNA (cfDNA) prenatal screening, which exhibits superior sensitivity and specificity for aneuploidy compared to what can be provided by soft sign risk adjustment, the …
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Single-Center Experience of Providing Congenital Heart Surgery to Low- and Middle-Income Countries
… the total patients, 2950 cases were assigned a Risk adjustment for congenital heart surgery (RACHS-1) score, of which RACHS-1 categories 2 (1146; 39%) and 3 (1033; 35%) comprised the majority. CONCLUSIONS: Though healthcare systems in LMICs see and acknowledge the magnitude of patients with CHD, …
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Essays in financial economics
… examines the effects of imperfect investor risk adjustment on the behavior of mutual fund managers. We exploit a natural experiment when a major fund rating company changed its rating methodology. While in the old system, all equity funds were compared with one another in one pool, in the …
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An Analytics Approach To Designing Patient Centered Medical Home
… Health Administration further indicate that risk adjustment for patient health conditions can considerably improve the prediction power of the model.</p> <p>For the second phase, with the help of the model developed in first phase, we are able to estimate the annual workload demand portfolio …
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What Cost Hospital Quality: Performance Uncertainty Under Market Reform
… evidenced construct validity for patient-level risk-adjustment. Each quality indicator demonstrated a significant systematic between-group variance component in all of the four years studied. The two latent hospital quality performance variables also demonstrated systematic between-hospital …
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An Analytics Approach To Reducing Hospital Readmission
… approach is promising and uses a comprehensive risk adjustment, Diagnostic Cost Group Hierarchical Condition Category, to assess the clinical relevance between a readmission and its initial hospitalizations. Next, we tackle the difficulties around selecting an appropriate readmission time …
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The behaviour of style anomalies in worldwide sector indices : a univariate and multivariate analysis
… returns are considered both before and after risk adjustment with the Capital Asset Pricing Model (CAPM), the Arbitrage Pricing Theory (APT) model and Solnik's (2000) version of the International CAPM (ICAPM). The ICAPM is found to be the best performing model but, in general, the evidence …
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Enhancing healthcare decisions using big data
… renders DCG the simplest among various risk-adjustment models. By incorporating outlier, reinsurance, and mixed-payment strategies, DCG effectively prevents underpayments for rare diseases while maintaining accuracy and improving healthcare cost projections in the social insurance system.
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Case-Mix Adjustment of Adherence Based Pharmacy Quality Indicator Scores
… quality may be influenced by patient-related risk factors outside of the healthcare provider's control. This study examines the performance of a classical logistic regression model containing only patient characteristics and a random-effect model including patient characteristics and a …
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