WGU D514 Analytical Methods in Healthcare Assignment 1 Complete Questions and answers Semester 1 2026

WGU D514 Analytical Methods in Healthcare Assignment 1 Complete Questions and answers Semester 1 2026 Master population/Patient Index (MPI) Assigns specific medical record number to avoid duplicate patient records. Includes patient's demographic information and dates of encounters. Disease Registries Secondary data gathered on patient diagnosis, condition, and procedure. Used for public health purposes and documenting disease prevalence. LOS/ALOS Average number of days a patient spends in the hospital. Tracked to gauge the efficiency of a healthcare facility. CMS Responsible for developing U.S. healthcare policy; administers the Medicare program and federal portion of Medicaid program. HRRP Affordable Care Act (ACA) added a section to Social Security Act in 2012, requiring CMS to reduce payments to hospitals with excessive readmissions. Data gathered is response to the Hospital Readmissions Reduction Program (HRRP), which is a Medicare value-based purchasing program. Hospital Consumer Assessment of Healthcare Professionals An effective indicator that measures quality provided, communication from providers, and other aspects of care delivery. It affects clinical outcomes, patient retention, and medical malpractice claims. Mortality after acute Mis WGU D514 WGU D514 Reflects the health status of cardiac patients and effectiveness of services. Central Line Bloodstream Infection (CLABSI) Data tracked to ensure best practices in treating patients receiving repeated IV medication or fluids. Catheter can become infected over time if guidelines preventing bacterial contamination are not followed. Pain Management Tracking this data helps providers understand why certain patients improve faster than others, and why some are more vulnerable to depression due to chronic pain or addiction. Hosptal Quietness and Cleanliness Measured in patient satisfaction surveys as a subjective indicator of hospital environment. Post-op infections This data useful as a quality measurement to improve care during and after surgery. Pressure Ulcer rates Data tracked on incidence, prevalence, and facility-acquired rates to improve quality of care and develop best practices to address skin breakdown. Catheter Assoc UTI (CAUTI) This hospital-acquired infection is tracked and reported to Medicare. One of the first hospital-acquired conditions selected for nonpayment by Medicare. Staff Performance, turnover, Absenteeism Organizations track this human resource data to optimize employee skill sets and build a stronger organizational culture. Accounts receivable and cost data Tracking this data ensures adequate resources for long- and short-term goals and financial planning. HRSA Data: Health Resources and Services Administration It is the primary federal agency for improving healthcare to the geographically isolated, and economically or medically vulnerable. EQUITY Health Payment Systems Data Data pulled from coding/billing departments. WGU D514 WGU D514 MEPS data from CMS: The Medical Expenditure Panel Survey Administered by Centers for Medicare & Medicaid Services (CMS). Surveys families, individuals, providers, employers in the U.S. Gathers data on cost, use of healthcare services, and health insurance coverage. NIH data, National Insttutes of Health U.S. Medical Research Agency is part of the Department of Health and Human Services. Joint Commission Through its accreditation process it requires the gathering and reporting of specific data to demonstrate safety, quality care, and performance improvement in healthcare organizations. Surveillance Records These records are kept and reviewed to maintain health history on employees who may be exposed to hazardous materials, eliminate causes of exposure and prevent medical issues from developing. Contribute to worksite health and safety programs. Medicare Provider Analysis and Review (MEDPAR) Acute care and skilled nursing facility claim data on Medicare patients. National Practitioner Data Bank (NPDB) Database queried as part of physician credentialing process when applying for medical staff privileges and every two years afterward. It contains data on medical malpractice, adverse licensure actions, suspensions, and professional review actions. Public Health Databases Holds data on incidence and prevalence of diseases; survival statistics; high-risk populations; and tracks trends over time. Data is gathered from medical records, surveys, and interviews. National Center for Health Statistics (NCHS) is responsible for these databases. National Center for Health Statistics (NCHS) Operates through the Center for Disease Control (CDC); includes vital statistics data such as birth, death, marriages, divorces, and fetal deaths. National Healthcare Survey WGU D514 WGU D514 Answer key questions of interest to healthcare policy makers, public health professionals, and researchers. Topics include quality care, resources, safety, and disparities Relational "Most common, can use various data tables with key identifiers. Use when hen you are looking for relationships among the data. Entity's attributes and relationships. Reduced data redundancy, shared data, consistency, centralized security. Takes time to set up. Flat File "Single Table. Files, Records, Fields, Characters. Simple, easy to use, inexpensive. Increased redundancy and inconsistency. Hierarchical Tree-like upside down, like organizational chart, every child has only one parent. Relationships are one-to-many (NO many-to-many) Network Connected by pointers. Child can have multiple parents. Object-Oriented handle text, images, audio, video, and other objects. images and other nontext items are stored as objects with hierarchy and a navigational programming style. an object can inherit properties from another object. Mulitdimensional hybrid between heirarchical and relational. Useful for large amts of data in a short time. Transactional a database management system that has the capability to roll back or undo a database transaction or operation if it is not completed appropriately. Data Warehouses a data warehouse into which all of these different technologies could be loaded, and a common language standard would be used in order for all of these different systems to "talk" to each other, to "translate" the data into a common language. Useful when multiple organizations share information. Rollup Query WGU D514 WGU D514 a process that drills down into data at many levels, giving the researcher a higher-level view of the data. This would be very beneficial when performing data analytics and looking at huge amounts of data. ANOVA Analysis of variance may be used in research studies where there are two or more groups to compare Chi-square tests Tests determine if an association exists between two categorical variables. Control group In a healthcare environment, this group of patients does not receive the treatment that is being studied. Experimental group This group of patients receives the treatment being studied with follow-up observation to determine the effect of the treatment. F-test Test designed to test if two population variances are equal. The ratio of the two variances is compared. If they are equal, the ratio of the variances will be 1. Frequency Measure of how often a particular value occurs to assess the importance of a value or check the variation of the values in a study. Hypothesis A proposed explanation for an observation that leads to a prediction. Through investigation and the use of statistical data, those doing the study will either confirm or reject the hypothesis. Testing the hypothesis will show if there is a link (or not) between two or more variables. Integrity Research always makes some assumptions, depending on the type of method used. Research assumptions must be identified to determine possible breaches of this. Interval data Data that includes units of equal size, such as IQ results. There is no zero point. An example of interval scale is time WGU D514 WGU D514 Mean Arithmetic average. Divide the sum of all scores by the total number of scores. Median The midpoint of the distribution of values, or the point above or below which 50 percent of the values fall. Methods section components When analyzing the quality of a study, a careful evaluation of the research methods can reveal critical details about population and sample, covariables and hypothesis, data presentation, statistical analysis, and study limitations. Misleading statistics Interpreting and presenting the results of data analysis affords many opportunities for accidental or deliberate misrepresentations of data. Common examples include implying causation, extrapolating beyond the reasonable, relying on a biased or incomplete sample, and using inappropriate graphical representations. Mode The value that occurs most frequently in the data. Multivariate regression analyses Analyses can be used to analyze and adjust risk. This analysis model contrasts each measured factor to the patient's risk of a particular outcome. Nominal data Data that can be measured as a frequency or percentage, and the mean of these data cannot be calculated. This data in healthcare might include demographic information about patients. The word nominal means "pertaining to a name." Ordinal data Data that can be measured as a frequency, and the mean of this data is often calculated. In healthcare might include patient satisfaction surveys using a Likert scale. The word ordinal means to "put in order." Parametric Tests Parametric tests are based on probability distributions. Pearson's correlation WGU D514 WGU D514 Used with interval and ratio scale data and determines the extent to which a change in one variable tends to be associated with a change in another. Qualitative research methods Research aimed at understanding perceptions, perspectives, interpretations, and opinions. Qualitative research methods often include questionnaires, interviews, written documents, observations, and focus groups. Ratio data Divide one quantity by another, and you have a value. You will have a proportion, a percentage or a rate. Reliability, validity, and analysis of questionnaires Questionnaires can be evaluated for reliability based on their consistency (stability) or repeatability over time; questionnaires are valid if they measure or record what they purport to measure. Data from questionnaires may then be grouped according to nominal, ordinal, or interval or ratio data. Research Research can inform decisions regarding the development and efficacy of new processes, systems, technologies, environments, and organizational structures to support operations. Research platform Research is built on a platform of previous knowledge, the scientific method. Risk adjustment Essential for comparing data across systems, especially among patients with varying comorbid diseases and complex treatment modalities. Multivariate regression analyses can be used to analyze and adjust risk. This analysis model looks at each measured factor to the patient's risk of a particular outcome. Risk of error and harm Studies should include an analysis of any sources of error as well as a thorough explanation of the consequences associated with a particular study treatment. Sample size WGU D514 WGU D514 The design of the study provides insight into an appropriate number and volume of each variable. The calculation of statistical confidence factors informs the validity testing of the study sample size. Standard Deviation Determines the amount of variance in a set of data and evaluates the degree to which each case deviates from the average, or mean. Statistical significance The observation is statistically significant if the null hypothesis is rejected. In a research study, the null hypothesis states there is no association between the independent and dependent variables in a study. t-test Helps the researcher to compare whether two groups have different average values. A paired t-test is used when each observation in one group is paired with a related observation in another. Variables The independent variable is the factor that is directly manipulated by the researchers. The dependent variable is the measurable variable that depends on the independent variable. Categorical variables The value is in the name or label. Types of cancers (breast, skin, lung, etc.) are categorical variables. Confounding Variable It obscures the effect of another variable. The researcher may initially believe the variable will influence the research, but findings show it does not. As a researcher, you may not be able to control its influence on the result of the research, but you should have an awareness that it is impacting your results and not allow it to skew your data. Continuous variable This is also known as an interval variable. There is a meaningful difference between values. An example is body temperature. Databases WGU D514 WGU D514 A well-designed healthcare database captures data to support the organization's analysis and comparison of safety, quality, effectiveness, efficiency, timeliness, and efficacy of actual care and services delivered to the patient over time. Data warehouses These assimilate data from multiple transaction systems. Data warehouses can be used to distinguish larger trends in data from multiple sources. Dichotomous variable This is also called a binary variable. It occurs in one of two possible states, for example, male or female. The patient has cancer or does not. Disease registries These are a hybrid between transaction systems and data warehouses. They are designed for tracking explicitly defined data at a case-specific level. Some examples are trauma registries to track emergency department data, cancer registries, immunizations registries, and numerous others. Errors Incorrect application of a statistical test can result in a type I error, which occurs when a null hypothesis is rejected when it should have been accepted. A type II error is experienced when the alternative hypothesis is rejected when it should have been accepted. Outcome evaluation This evaluation focuses on the end result of a specific program or initiative, generally clinically measured by improvements in morbidity, mortality, or vital measures of symptoms, signs, or physiologic indicators. Quality improvement This is measured internally and externally using various benchmarks and indicators. These indicators are quantified by proportions, percentages, ratios, means, medians, and counts to measure processes, perspectives, and outcomes aligned with a certain initiative or decision. Quality measures In today's healthcare environment, administrators receive numerous quality reports on a regular basis. These reports are generated for internal quality improvement projects, for WGU D514 WGU D514 mandated external reports to government agencies, and for compliance with accrediting body requirements. As a value-based purchasing model evolves in healthcare, quality measures become pivotal operational "pulse checks" to administrators. Statistical testing and treatment The basis of this testing is whether or not the study results have a proven relationship to a change in processes or care modalities. Results that are statistically significant do not automatically indicate clinical significance. Transaction systems Transaction systems divide data according to individual operations. The data stored by transaction systems is granular and based on specialized systems. It can be rolled back. Autonomy In research, this principle is the right for a person to participate as a human subject or not. In healthcare, it refers to a patient having the right to make their own choices, unless they have been legally deemed unable to do so. Beneficence This is a concept that concerns the welfare of a research participant, but it can also apply to the treatment of patients. The opposite term, "maleficence," describes opposing the welfare of a research participant. You may also see a term, "malfeasance," which is intentional conduct outside the law. Evidence-based practice Healthcare administrators must have a working knowledge of statistics in order to make sound, effective decisions when using research to inform treatment and processes. Studies show that using analytical skills to make decisions based on quality data will result in increased patient satisfaction and improved outcomes (Scott & Mazhindu, 2014). In order to discern the highest-quality research, administrators must have the expertise necessary to objectively analyze statistics for validity. For both professionals and patients, a basic understanding of research and statistics in healthcare fosters improved health literacy and informed decisions. Fidelity WGU D514 WGU D514 This principle requires loyalty, fairness, truthfulness, advocacy, and dedication to patients (and others). It involves an agreement to keep promises, to keep a commitment, and is based on the virtue of caring. This principle would include patient advocacy. Forecasting The process of predicting outcomes and needs to create systems and models with the highest financial and operational safety and efficiency; it can be used to determine the potential use of services and patient demand, or to expand service lines and markets. Health disparities Defined as "differences in the incidence, prevalence, mortality, and burden of diseases;" they are frequently seen in subpopulations based on socioeconomic status, geography, race, ethnicity, sexual orientation, or special needs. Justice in research, it pertains to the fair selection of research participants. Justice is the ideal distribution of risks and benefits when conducting clinical research and recruiting volunteer research participants to participate in clinical trials. One example of the principle of justice seen in the United States is when citizens turn 65 years of age, they are eligible for Medicare, no matter who they are or their socioeconomic level. Market segmentation Used to divide the defined community, group, or cohort into aggregate domains of shared traits. The intent is to optimally understand specific needs and further customize care and services. Measurement and decision support Measurement is used to monitor quality improvement in systems and processes, analyze current trends, evaluate performance, and—when results are gathered—to place accountability. New knowledge is built on research. Decision support provides an information platform to evaluate leading, lagging, and real-time performance measures. Measuring effectiveness of treatments Statistics are necessary to measure and compare treatment outcomes. Statistically analyzing the effectiveness of treatments is the optimal method to determine validity for adoption. WGU D514 WGU D514 Multiple regression The purpose of this analysis is to determine the relationship between several independent or predictor variables and a dependent variable. Needs assessment The process of collecting and analyzing information about a specific population, enterprise, or cohort to gain stakeholder insight into cultural engagement. It may also identify coalition strengths, weaknesses, opportunities, issues, available resources, and constraints or barriers. The needs assessment supports clear direction for decisions involving development of a specific health initiative or program. Plagiarism Avoidance Plagiarism is the uncredited use of someone else's words or ideas. A charge of plagiarism to a researcher may have serious consequences, including loss of a job or expulsion from a university, and will result in loss of standing in the professional community. Modeling questions These questions include "What are you predicting and why? How accurate is your prediction and what actions are taken based on the prediction?" Predictive modeling This modeling relies on mathematical algorithms to predict the probability of an outcome. Predictive analytics When used in the healthcare environment, it provides a predictive score (probability) for each patient or groups of patients in order to determine, inform, and influence organizational processes that pertain to large numbers of individuals. Histogram A tool to plot the frequency and number of cases and is useful to identify areas of high variance. Distribution and deviations Normal visually reflects a well-formed bell curve. Variation may appear to be skewed outside the normal distribution and require additional testing for statistical significance. Standard error WGU D514 WGU D514 This reflects how close a sample mean is to the true population mean. This calculation is essential for identifying variation that is a result of chance. Z-score Measures the distance along the x-axis of a normal distribution measured in units of standard deviation. The z-score is a unit that can simplify the measurement of variation. Predictive Modeling A hospital administrator in Kentucky is comparing outcomes on patients using Medicaid and CHIP to patients using other insurers, to determine the need for stronger case management. Statistical Modeling A quality improvement manager in Alaska is comparing facility data on the enrollment of patients using Medicaid and CHIP, from before the passage of the Affordable Care Act to current data on Medicaid and CHIP enrollment. Statistical Modeling A hospital CFO in California is examining reimbursement data from their five-hospital system to compare which hospitals are incurring debt from services to patients using Medicaid and CHIPS. Predictive Modeling A hospital in Colorado is launching an initiative to decrease the use of their emergency department by the homeless population. This homeless population uses Medicaid for their healthcare. The plan for achieving this aim is to send mobile healthcare units into certain sections of the community. They are forecasting this will save them over a million dollars in healthcare expenditures over the next few years. Data Warehouse A business intelligence analyst at a multistate healthcare system is developing reports for clinical quality-improvement projects and best practice guideline development. The best practice guidelines will be used across the entire multistate system. Which type of database should be used to gather and analyze data for the reports needed? Trauma Registry WGU D514 WGU D514 The chief medical officer of emergency services is investigating the number of gunshot victims seen in their emergency department in the past two years, for their hospital. Which type of database should be used to locate this data? Object Oriented A group of speech pathologists from several facilities within the same large healthcare system is doing a research study on children who stutter. They want to share their audio files across their interoperable databases as they work on this study together. Which database should they use? True If you were constructing a database for a research project, de-identifying patient information would be an important consideration in protecting patient privacy. Research Identified A clinical research associate is comparing data on study patients and their response to a clinical-trial drug for patients with fibromyalgia. The patients were enrolled six months ago. The associate is comparing data from when the patients were first enrolled in the study to today. Which type of database is the associate using? Cross-sectional A national research study is being organized to test musculoskeletal strength and overall functional levels of patients ages 60-70 who were exposed to the polio virus when they were children. Which research method should be used? t-test There are two standard treatments for children with attention deficit hyperactivity disorder (ADHD) who display a specific set of characteristics. One treatment is a cognitive-behavioral intervention, and the other is a dietary and biomedical intervention. Both treatments have equally strong clinical evidence supporting their efficacy. A researcher proposes a comparison of the two interventions to determine which is preferable. The children will be randomized to one of two groups. Half of the children will receive the cognitive behavioral intervention. The other half of the children will receive the dietary and biomedical intervention. Which test is appropriate for determining the preferable treatment? WGU D514 WGU D514 Time Series A hospital chief financial officer (CFO) is analyzing the cost benefits of using the patient reminder system, which was implemented over a year ago, to see if the automated system results in fewer missed appointments ("no-shows"). The CFO is comparing quarterly reports from this past year on the volume of patients who did not show up to their appointments to the volume of patients of the previous year who did not show up to their appointments to see if the automated system has proven effective. The CFO is considering other variables while reviewing the data, but is primarily analyzing the number of "no-show" patients from last year's quarterly reports against this year's. Which model should the CFO use to show the data? ANOVA Several community health centers across a rural state are gathering data on their prediabetic patients and using A1c levels as a baseline measurement to include patients in a research project. Three different interventions will be applied. One group of patients will receive a special diet to follow; the second group will work with physical therapists on a regular exercise program; the third group will follow the diet and engage in the exercise. Which statistical test will be appropriate to use to determine which treatment is most effective in controlling pre-diabetes? Regression Analysis Data analysts at a large metropolitan hospital need to determine risk factors associated with readmission within 30 days via the hospital's emergency department among patients with COPD. The variables of interest include age, gender, race and ethnicity, insurance status, and family support. Which statistical technique should be used? Linear Regression In conversations with patients, a physical therapist notices a difference among patients on workers' compensation. Patients who have supportive supervisors who are eager for them to return to work have more positive outcomes in rehabilitation. Those patients whose supervisors have a negative attitude toward their employee's injury and insist WGU D514 WGU D514 they do not return to work until they are at 100% because at anything less, they are "useless to the job," have more negative outcomes. Which type of test could the therapist use to see if these two factors have a measurable relationship? nonparametric tests Tests are used when data are not normally distributed. WGU D514