HIT 235 Final Exam 2026/2027 | 150+ Questions & Answers | Healthcare Statistics, Census, Mortality Rates, Autopsy, Research & Data Analysis

HIT 235 Final Exam 2026/2027 is a comprehensive 27-page Health Information Technology final-exam study resource containing 150+ questions, definitions, formulas and answers. The document covers healthcare statistics, inpatient and outpatient data, hospital census calculations, bed occupancy, length of stay, mortality and morbidity statistics, fetal and neonatal mortality, autopsy rates, infection and surgical statistics, descriptive and inferential statistics, data visualization, research methodology, sampling and research ethics. It also reviews major healthcare organizations and settings, including AHRQ, CDC, CMS, WHO, managed care organizations, home health, hospice, nursing facilities and ambulatory care. The opening section establishes the foundations of healthcare data and statistics by defining the roles of major organizations such as the Agency for Healthcare Research and Quality (AHRQ), Centers for Disease Control and Prevention (CDC), Centers for Medicare & Medicaid Services (CMS) and World Health Organization (WHO). Students review descriptive versus inferential statistics, primary and secondary data sources, encounters and visits, vital statistics and differences among inpatient, outpatient, home-health, hospice, nursing-facility and managed-care settings. These concepts are consistent with the healthcare statistics and data-management principles commonly addressed in Health Information Management references such as Horton’s Calculating and Reporting Healthcare Statistics and AHIMA educational materials. A substantial section focuses on the mathematical foundations required for healthcare statistics. Topics include averages and means, fractions, decimals, numerators and denominators, percentages, proportions, quotients, rates, ratios, rounding and whole numbers. These concepts are then applied to healthcare operations through formulas for average daily inpatient census, patient service days, bed occupancy percentages, length of stay and other utilization measures. The document provides extensive preparation on hospital census and inpatient utilization statistics. Students review admission and discharge dates, census days, daily inpatient census, complete master census, inpatient service days, patient days, interhospital and intrahospital transfers, patient care units, bed counts and bed-count days. The resource also explains bed occupancy ratio, percentage of occupancy, bed turnover, newborn bassinet counts and observation-patient status. This section is particularly valuable for calculation-based HIT 235 exam questions requiring students to convert raw hospital utilization data into standardized rates and measures. Another major area is length-of-stay and utilization management. The material covers individual length of stay (LOS), total length of stay, average length of stay (ALOS), discharge days, leave of absence and military time. Utilization Management is presented in relation to evaluating whether healthcare facilities provide necessary patient care efficiently and effectively. The resource also briefly connects hospital statistics with Medicare Severity Diagnosis-Related Groups (MS-DRGs). A particularly detailed portion concentrates on mortality, morbidity and vital statistics. Students review gross and net mortality rates, hospital mortality, case fatality, cancer mortality, anesthesia mortality and obstetric case-fatality measures. The document distinguishes fetal death, early fetal death, intermediate fetal death, late fetal death, neonatal death, newborn death, infant death, perinatal death and postnatal death. It also addresses hospital live births and maternal/maternity-related terminology. These concepts are closely related to definitions and statistical standards used by public-health authorities such as the CDC's National Center for Health Statistics. The surgical statistics material covers postoperative and surgical mortality, complications, consultations, hospital-acquired infections and surgical-site infections. Students review clean surgical cases, nosocomial infections, iatrogenic conditions, postoperative infection rates and complication rates. The document additionally lists examples of surgical procedures, including coronary artery bypass grafting, aneurysmectomy, permanent pacemaker placement and implantable cardioverter-defibrillator procedures. The resource gives substantial attention to autopsy statistics and postmortem terminology. Topics include clinical, forensic, hospital and inpatient autopsies as well as the responsibilities of coroners and medical examiners. Students distinguish gross, net, adjusted hospital, fetal and newborn autopsy rates, connecting definitions with the denominators and populations used in healthcare statistical calculations. The later pages broaden the review to health information department management and statistical analysis. Listed concepts include budgets, capital and operational budgets, fiscal years, full-time equivalent employees (FTEs), productivity, unit labor cost, variance and variance analysis. Statistical topics include mean, median, mode, range, standard deviation, variance, percentiles, quartiles, deciles, normal distributions, outliers, frequency distributions and skewness. Students are also expected to recognize methods of data presentation and measurement, including bar charts, histograms, frequency polygons, line graphs, pie charts, pictograms, run charts, scatter diagrams and tables. The resource distinguishes categorical, continuous and discrete data as well as the nominal, ordinal, interval and ratio scales of measurement. These topics provide the statistical-literacy foundation needed to interpret healthcare quality, utilization and research data. The final portion introduces healthcare research methodology and research ethics. Topics include basic and applied research, descriptive and correlational research, experimental and observational research, qualitative and quantitative approaches, ethnography, naturalistic inquiry, hypotheses, literature reviews, data collection, institutional review boards and informed consent. Sampling approaches include simple random, systematic random, stratified random, cluster, quota, convenience and judgment sampling, while research-integrity concepts include fabrication, falsification and plagiarism. Reliability and validity are also included as core principles for evaluating research quality. One important limitation is that pages 22–27 list numerous terms without completed answer definitions, including budgeting, statistical, visualization and research-methodology terms. Students should therefore supplement these sections with their course textbook or authoritative references. Suitable references include Horton’s Calculating and Reporting Healthcare Statistics for healthcare statistical calculations, AHIMA educational resources for health information management concepts, and standard health-research methodology texts for sampling, validity and research design. Relevant Students: This document is particularly relevant to students enrolled in HIT 235 or equivalent Health Information Technology, Health Information Management, Healthcare Statistics, Health Data Analytics or Health Services Research courses. It may also benefit RHIT candidates, medical records and health information students, healthcare administration students and learners who need practice with hospital census, occupancy, length-of-stay, mortality, infection and autopsy calculations. The uploaded document does not identify a university or institution, so adding a university name to the title would be inaccurate without verification. 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