Healthcare and bioinformatics MCQs January 8, 2026November 19, 2024 by u930973931_answers 20 min Score: 0 Attempted: 0/20 Subscribe 1. In the context of bioinformatics, what does genomic data analysis primarily involve? (A) Predicting disease outcomes based on patient demographics (B) Analyzing DNA sequences to understand genetic variations (C) Tracking the spread of infectious diseases (D) Monitoring patient health records for treatment outcomes 2. Which of the following is a key application of bioinformatics in healthcare? (A) Offering online health consultations (B) Managing patient appointments (C) Monitoring daily medication schedules (D) Genetic testing for personalized medicine 3. What is predictive modeling used for in healthcare analytics? (A) To identify the types of diseases affecting specific populations (B) To organize patient records (C) To monitor blood pressure levels in real time (D) To forecast patient outcomes and disease progression 4. In bioinformatics, what is the primary purpose of sequence alignment? (A) To compare DNA, RNA, or protein sequences to identify similarities and differences (B) To identify mutations in genetic sequences (C) To map out the human genome (D) To track changes in gene expression 5. What is electronic health record (EHR) data used for in healthcare data analytics? (A) To store and manage patient demographic information only (B) To track patient medications (C) To analyze patient outcomes, disease trends, and treatment effectiveness (D) To schedule doctor’s appointments 6. Which technique is commonly used in bioinformatics to analyze large datasets such as genetic sequences? (A) Hidden Markov Models (B) K-means clustering (C) Random Forest (D) Decision Trees 7. What role does machine learning play in healthcare analytics? (A) To perform surgeries autonomously (B) To analyze patient data and predict disease risk or progression (C) To recommend specific drugs for all patients (D) To manage the physical infrastructure of healthcare systems 8. Which of the following is a bioinformatics tool used for genetic sequence analysis? (A) BLAST (B) SPSS (C) Tableau (D) RStudio 9. What is the purpose of drug discovery in bioinformatics? (A) To develop drugs for curing cancer (B) To monitor drug consumption trends (C) To predict the cost of new drugs (D) To identify potential drug candidates by analyzing molecular data 10. In bioinformatics, what is a gene expression profile used for? (A) To determine the nutritional needs of a patient (B) To analyze how genes are activated or silenced in different conditions (C) To predict the exact time a disease will manifest (D) To schedule a patient’s chemotherapy 11. Which of the following is a common data mining technique used in healthcare to predict patient outcomes? (A) Regression Analysis (B) Association Rule Mining (C) Clustering (D) Support Vector Machines 12. In the field of healthcare analytics, what is clinical decision support (CDS) used for? (A) To analyze genomic data (B) To track healthcare expenditures (C) To assist healthcare providers in making clinical decisions based on patient data (D) To monitor patient schedules 13. Which of the following is a challenge faced in bioinformatics? (A) High computational requirements for analyzing genomic data (B) Limited access to patient data (C) Lack of interest in the field (D) Simple data formats for genomic sequences 14. Which of the following bioinformatics algorithms is used for protein structure prediction? (A) Rosetta (B) Smith-Waterman (C) FASTA (D) Needleman-Wunsch 15. In bioinformatics, data mining techniques are used for which of the following tasks? (A) Monitoring patient blood pressure (B) Determining the nutritional value of food (C) Identifying disease-associated genetic variants (D) Scheduling hospital staff 16. What is the main challenge in analyzing healthcare data using data mining techniques? (A) Inaccurate patient data (B) Lack of privacy and security (C) Complexity of the data and integration of heterogeneous sources (D) Lack of interest in healthcare analytics 17. In bioinformatics, what does the term “genetic variant” refer to? (A) A change in the DNA sequence that may affect health or disease (B) A common genetic sequence shared by all individuals (C) A protein molecule responsible for gene expression (D) A specific drug used to treat genetic diseases 18. Which of the following is an example of healthcare data integration in bioinformatics? (A) Combining genomic data with patient health records to personalize treatment (B) Predicting future healthcare costs (C) Creating an online health portal (D) Monitoring healthcare provider performance 19. What is the purpose of clinical trial data in healthcare analytics? (A) To predict hospital staff needs (B) To determine the effectiveness of new treatments or drugs (C) To analyze patient demographics (D) To track daily medication dosages 20. What is “personalized medicine” in the context of bioinformatics? (A) Treating all patients with the same approach regardless of their genetic background (B) Providing health recommendations based on a person’s lifestyle (C) Creating drugs that are specifically tailored to an individual’s genetic profile (D) Offering one-size-fits-all drug prescriptions