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B.Sc. MLT Syllabus
Attuluri Vamsi Kumar I Assistant professor I Dept of MLT I Ph No: 7416660584 I Website: mltmaster.com
Website: www.mltmaster.com I YouTube: https://www.youtube.com/@vamsiMLT
Program Name: B.Sc. Medical Lab Technology
Syllabus of Research Project
Course Name: Research Project Course Type
Course Coordinator: Attuluri Vamsi Kumar – B.Sc. MLT, M.Sc. MLT, PhD (Perusing)
Designation: Assistant Professor
Department: Department of Medical Lab Technology (MLT)
Program Core
PRE-REQUISITE Research methodology and Biostatistics Sem: 8 S. No: 54
About Vamsi: I am academician in Medical Laboratory Sciences with a strong desire to improve Outcome
based education (OBE) structured MLT education. I am constantly focusing on building an academic
atmosphere that is set high standards with strong multi blended teaching pedagogy models.
YouTube: https://www.youtube.com/@vamsiMLT
SlideShare: https://www.slideshare.net/VamsiIntellectual
Website: www.mltmaster.com / https://sites.google.com/view/vamsi-intellectual-protfolio/home
LinkedIn: https://www.linkedin.com/in/vamsi-kumar-attuluri-ab8987128/?originalSubdomain=in
Research Gate: https://www.researchgate.net/profile/Attuluri-Kumar
Orcid ID: https://orcid.org/0000-0001-9278-6714
Contact No: +91 7416660584
Mail ID: vamsifmlt@gmail.com
A. COURSE DESCRIPTION
This course provides an extensive study of research methodologies in the field of Medical Lab
Technology. Students will learn the fundamentals of research, how to design their research,
and methods of data collection. Further, they will gain insights into data analysis, interpretation
of results, and the essentials of writing a research report. The course integrates theoretical
learning with practical case studies to facilitate a comprehensive understanding of the subject.
B. COURSE OBJECTIVES:
1. Recall and explain the various types of research methods and their application in the field of
Medical Lab Technology.
2. Comprehend the steps involved in formulating a research problem and conducting a literature
review.
3. Apply appropriate data collection methods and tools in different research scenarios.
4. Analyze research data using suitable statistical tools and interpret the results.
5. Evaluate research reports based on the quality of methodology, data analysis, and conclusions
drawn.
C. COURSE OUTCOMES
CO
No
Statement Performance
Indicator
Level of
Learning
(Highest BT
Level)
Target
Attainment
CO1 Memorize and recall the essential terminology,
concepts, and principles associated with research
methodologies in Medical Lab Technology.
PI 6 K1:
Remembering
70%
CO2 Understand and explain the steps involved in
designing a research study, including problem
formulation, literature review, and choice of
research design.
PI 2.1, PI 2.3,
PI 2.9
K2:
Understanding
70%
CO3 Demonstrate the ability to select and apply
appropriate data collection methods and data
PI 2.2, PI 2.4,
PI 2.5, PI 2.7,
PI 7
K3: Applying 70%
B.Sc. MLT Syllabus
Attuluri Vamsi Kumar I Assistant professor I Dept of MLT I Ph No: 7416660584 I Website: mltmaster.com
Website: www.mltmaster.com I YouTube: https://www.youtube.com/@vamsiMLT
analysis techniques in the context of a given
research problem.
CO4 Exhibit the capacity to critically analyze research
data, derive meaningful interpretations, and assess
the validity of research results.
PI 2.6, PI 2.8,
PI 3, PI 4
K4: Analyzing 70%
CO5 Show competency in evaluating the quality and
effectiveness of research studies in Medical Lab
Technology based on set criteria, such as the
validity of methodology, accuracy of data analysis,
and relevance of conclusions.
PI 1, PI 5, PI 9 K5: Evaluating 70%
CO6 Create a comprehensive research project that
includes a clearly defined problem statement, an
extensive literature review, a well-designed
methodology, appropriate data analysis and
interpretation, and an effectively written report and
presentation.
PI 2, PI 5, PI 7,
PI 8, PI 10
K6: Creating 70%
D. SYLLABUS
Unit-1 Fundamentals of Research Contact Hours:15
Chapter 1.1 Introduction to Research- The concept of research, Importance of research in medical lab
technology, Different types of research, The scientific method, Ethical considerations in
research.
Chapter 1.2 Literature Review and Problem Formulation- The role and process of literature review,
Formulating research questions and objectives, Hypothesis generation, Identifying variables,
The importance of a well-defined problem statement.
Experiment 1 /
Case study
The Tuskegee Syphilis Study - A study on ethical violations in research.
Experiment 2 /
Case study
The Human Genome Project - An example of exploratory research.
Experiment 3 /
Case study
The Randomized Controlled Trials in Clinical Research - An example of experimental research.
Unit-2 Research Design and Data Collection Contact Hours:15
Chapter 2.1 Research Design - 54
Chapter 2.2 Data Collection Methods and Tools- Primary and secondary data, Data collection methods
(observations, surveys, interviews, experiments), Data collection tools (questionnaires, tests,
scales), Data quality control.
Experiment 4 /
Case study
The Nurses' Health Study - An example of a cohort study.
Experiment 5 /
Case study
The Framingham Heart Study - An example of a longitudinal study.
Experiment 6 /
Case study
Study on COVID-19 seroprevalence - An example of cross-sectional study.
Experiment 7 /
Case study
A study on effectiveness of a new drug for cancer - An example of a randomized controlled
trial.
Unit-3 Data Analysis, Interpretation, and Report Writing Contact Hours:15
Chapter 3.1 Data Analysis and Interpretation- Quantitative data analysis (Descriptive statistics,
Inferential statistics), Qualitative data analysis (Thematic analysis, Content analysis),
Interpretation of results, Drawing conclusions.
Chapter 3.2 Report Writing and Presentation- Structure of a research report (Abstract, Introduction,
Methods, Results, Discussion, Conclusion), Referencing and citation styles, Preparing a
presentation, Communicating research findings.
Experiment 8 / Interpretation of data from a study on diabetes prevalence.
B.Sc. MLT Syllabus
Attuluri Vamsi Kumar I Assistant professor I Dept of MLT I Ph No: 7416660584 I Website: mltmaster.com
Website: www.mltmaster.com I YouTube: https://www.youtube.com/@vamsiMLT
Case study
Experiment 9 /
Case study
Analysis and interpretation of data from a clinical trial on a new vaccine.
Experiment 10 /
Case study
Analysis of a study on the efficiency of a new laboratory test.
Self-study topics for Advance learners:
E. TEXT BOOKS/REFERENCE BOOKS
TEXT BOOKS
T1 Nader Rifai, Andrea Rita Horvath, Carl A. Burtis by Elsevier
T2 Shirlyn B. McKenzie, Lynne Williams by Pearson
T3 Lionel A. Varnadoe by F.A. Davis Company
REFERENCE BOOKS
R1 Patrick R. Murray, Ken S. Rosenthal, Michael A. Pfaller by Elsevier
R2 Christine Dorresteyn Stevens, Linda E. Miller by F.A. Davis Company
R3 Michael L. Bishop, Edward P. Fody, Larry E. Schoeff by Wolters Kluwer
B.Sc. MLT Syllabus
Attuluri Vamsi Kumar I Assistant professor I Dept of MLT I Ph No: 7416660584 I Website: mltmaster.com
Website: www.mltmaster.com I YouTube: https://www.youtube.com/@vamsiMLT
Code Performance Indicators
PI 1 Demonstrate professional interpersonal, oral, and written communications skills sufficient to
serve the needs of patients and the public including an awareness of how diversity may affect
the communication process.
PI 2 Perform pre-analytical, analytical, and post-analytical processes:
PI 2.1 Demonstrate ability to understand investigation/test requisition.
PI 2.2 Collecting the relevant clinical samples along with complete and accurate documentation with
proper safety measures in relation to sample accountability.
PI 2.3 To transport the samples with precautionary measures to the relevant lab section.
PI 2.4 Demonstrate the ability to prepare clinical sample for processing
PI 2.5 To demonstrate the knowledge of accurate sample processing for the required lab
investigation. Perform routine clinical laboratory tests in clinical chemistry,
haematology/haemostasis, immunology, immunohematology, microbiology, Histopathology,
Cytopathology, body fluid analysis, and laboratory operations.
PI 2.6 Perform mathematical calculations related to all areas of the clinical laboratory
PI 2.7 Ability to record the test results/data.
PI 2.8 To demonstrate the ability to interpret the test reports and its documentation in lab records.
PI 2.9 Demonstrate ability to release the report to the right person in minimum turn-around time
(TAT).
PI 3 Perform problem solving and troubleshooting techniques for laboratory methodologies
Correlate laboratory test results with patient diagnosis and treatment.
PI 4 To follow basic quality assessment protocol of clinical laboratory.
PI 5 Demonstrate routine laboratory techniques sufficient to orient new employees within the
clinical laboratory.
PI 6 Apply basic scientific principles in learning new techniques/procedures; demonstrate
application of principles and methodologies.
PI 7 Utilize computer technology applications to interact with computerized instruments and
laboratory information systems.
PI 8 Demonstrate adequate knowledge of computer software as it applies to document production,
spreadsheets, and presentations.
PI 9 Demonstrate professional behaviour with co-team mates.
PI 10 Demonstrate sensitivity and compassion towards patients.

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54_Research Project.pdf

  • 1. B.Sc. MLT Syllabus Attuluri Vamsi Kumar I Assistant professor I Dept of MLT I Ph No: 7416660584 I Website: mltmaster.com Website: www.mltmaster.com I YouTube: https://www.youtube.com/@vamsiMLT Program Name: B.Sc. Medical Lab Technology Syllabus of Research Project Course Name: Research Project Course Type Course Coordinator: Attuluri Vamsi Kumar – B.Sc. MLT, M.Sc. MLT, PhD (Perusing) Designation: Assistant Professor Department: Department of Medical Lab Technology (MLT) Program Core PRE-REQUISITE Research methodology and Biostatistics Sem: 8 S. No: 54 About Vamsi: I am academician in Medical Laboratory Sciences with a strong desire to improve Outcome based education (OBE) structured MLT education. I am constantly focusing on building an academic atmosphere that is set high standards with strong multi blended teaching pedagogy models. YouTube: https://www.youtube.com/@vamsiMLT SlideShare: https://www.slideshare.net/VamsiIntellectual Website: www.mltmaster.com / https://sites.google.com/view/vamsi-intellectual-protfolio/home LinkedIn: https://www.linkedin.com/in/vamsi-kumar-attuluri-ab8987128/?originalSubdomain=in Research Gate: https://www.researchgate.net/profile/Attuluri-Kumar Orcid ID: https://orcid.org/0000-0001-9278-6714 Contact No: +91 7416660584 Mail ID: vamsifmlt@gmail.com A. COURSE DESCRIPTION This course provides an extensive study of research methodologies in the field of Medical Lab Technology. Students will learn the fundamentals of research, how to design their research, and methods of data collection. Further, they will gain insights into data analysis, interpretation of results, and the essentials of writing a research report. The course integrates theoretical learning with practical case studies to facilitate a comprehensive understanding of the subject. B. COURSE OBJECTIVES: 1. Recall and explain the various types of research methods and their application in the field of Medical Lab Technology. 2. Comprehend the steps involved in formulating a research problem and conducting a literature review. 3. Apply appropriate data collection methods and tools in different research scenarios. 4. Analyze research data using suitable statistical tools and interpret the results. 5. Evaluate research reports based on the quality of methodology, data analysis, and conclusions drawn. C. COURSE OUTCOMES CO No Statement Performance Indicator Level of Learning (Highest BT Level) Target Attainment CO1 Memorize and recall the essential terminology, concepts, and principles associated with research methodologies in Medical Lab Technology. PI 6 K1: Remembering 70% CO2 Understand and explain the steps involved in designing a research study, including problem formulation, literature review, and choice of research design. PI 2.1, PI 2.3, PI 2.9 K2: Understanding 70% CO3 Demonstrate the ability to select and apply appropriate data collection methods and data PI 2.2, PI 2.4, PI 2.5, PI 2.7, PI 7 K3: Applying 70%
  • 2. B.Sc. MLT Syllabus Attuluri Vamsi Kumar I Assistant professor I Dept of MLT I Ph No: 7416660584 I Website: mltmaster.com Website: www.mltmaster.com I YouTube: https://www.youtube.com/@vamsiMLT analysis techniques in the context of a given research problem. CO4 Exhibit the capacity to critically analyze research data, derive meaningful interpretations, and assess the validity of research results. PI 2.6, PI 2.8, PI 3, PI 4 K4: Analyzing 70% CO5 Show competency in evaluating the quality and effectiveness of research studies in Medical Lab Technology based on set criteria, such as the validity of methodology, accuracy of data analysis, and relevance of conclusions. PI 1, PI 5, PI 9 K5: Evaluating 70% CO6 Create a comprehensive research project that includes a clearly defined problem statement, an extensive literature review, a well-designed methodology, appropriate data analysis and interpretation, and an effectively written report and presentation. PI 2, PI 5, PI 7, PI 8, PI 10 K6: Creating 70% D. SYLLABUS Unit-1 Fundamentals of Research Contact Hours:15 Chapter 1.1 Introduction to Research- The concept of research, Importance of research in medical lab technology, Different types of research, The scientific method, Ethical considerations in research. Chapter 1.2 Literature Review and Problem Formulation- The role and process of literature review, Formulating research questions and objectives, Hypothesis generation, Identifying variables, The importance of a well-defined problem statement. Experiment 1 / Case study The Tuskegee Syphilis Study - A study on ethical violations in research. Experiment 2 / Case study The Human Genome Project - An example of exploratory research. Experiment 3 / Case study The Randomized Controlled Trials in Clinical Research - An example of experimental research. Unit-2 Research Design and Data Collection Contact Hours:15 Chapter 2.1 Research Design - 54 Chapter 2.2 Data Collection Methods and Tools- Primary and secondary data, Data collection methods (observations, surveys, interviews, experiments), Data collection tools (questionnaires, tests, scales), Data quality control. Experiment 4 / Case study The Nurses' Health Study - An example of a cohort study. Experiment 5 / Case study The Framingham Heart Study - An example of a longitudinal study. Experiment 6 / Case study Study on COVID-19 seroprevalence - An example of cross-sectional study. Experiment 7 / Case study A study on effectiveness of a new drug for cancer - An example of a randomized controlled trial. Unit-3 Data Analysis, Interpretation, and Report Writing Contact Hours:15 Chapter 3.1 Data Analysis and Interpretation- Quantitative data analysis (Descriptive statistics, Inferential statistics), Qualitative data analysis (Thematic analysis, Content analysis), Interpretation of results, Drawing conclusions. Chapter 3.2 Report Writing and Presentation- Structure of a research report (Abstract, Introduction, Methods, Results, Discussion, Conclusion), Referencing and citation styles, Preparing a presentation, Communicating research findings. Experiment 8 / Interpretation of data from a study on diabetes prevalence.
  • 3. B.Sc. MLT Syllabus Attuluri Vamsi Kumar I Assistant professor I Dept of MLT I Ph No: 7416660584 I Website: mltmaster.com Website: www.mltmaster.com I YouTube: https://www.youtube.com/@vamsiMLT Case study Experiment 9 / Case study Analysis and interpretation of data from a clinical trial on a new vaccine. Experiment 10 / Case study Analysis of a study on the efficiency of a new laboratory test. Self-study topics for Advance learners: E. TEXT BOOKS/REFERENCE BOOKS TEXT BOOKS T1 Nader Rifai, Andrea Rita Horvath, Carl A. Burtis by Elsevier T2 Shirlyn B. McKenzie, Lynne Williams by Pearson T3 Lionel A. Varnadoe by F.A. Davis Company REFERENCE BOOKS R1 Patrick R. Murray, Ken S. Rosenthal, Michael A. Pfaller by Elsevier R2 Christine Dorresteyn Stevens, Linda E. Miller by F.A. Davis Company R3 Michael L. Bishop, Edward P. Fody, Larry E. Schoeff by Wolters Kluwer
  • 4. B.Sc. MLT Syllabus Attuluri Vamsi Kumar I Assistant professor I Dept of MLT I Ph No: 7416660584 I Website: mltmaster.com Website: www.mltmaster.com I YouTube: https://www.youtube.com/@vamsiMLT Code Performance Indicators PI 1 Demonstrate professional interpersonal, oral, and written communications skills sufficient to serve the needs of patients and the public including an awareness of how diversity may affect the communication process. PI 2 Perform pre-analytical, analytical, and post-analytical processes: PI 2.1 Demonstrate ability to understand investigation/test requisition. PI 2.2 Collecting the relevant clinical samples along with complete and accurate documentation with proper safety measures in relation to sample accountability. PI 2.3 To transport the samples with precautionary measures to the relevant lab section. PI 2.4 Demonstrate the ability to prepare clinical sample for processing PI 2.5 To demonstrate the knowledge of accurate sample processing for the required lab investigation. Perform routine clinical laboratory tests in clinical chemistry, haematology/haemostasis, immunology, immunohematology, microbiology, Histopathology, Cytopathology, body fluid analysis, and laboratory operations. PI 2.6 Perform mathematical calculations related to all areas of the clinical laboratory PI 2.7 Ability to record the test results/data. PI 2.8 To demonstrate the ability to interpret the test reports and its documentation in lab records. PI 2.9 Demonstrate ability to release the report to the right person in minimum turn-around time (TAT). PI 3 Perform problem solving and troubleshooting techniques for laboratory methodologies Correlate laboratory test results with patient diagnosis and treatment. PI 4 To follow basic quality assessment protocol of clinical laboratory. PI 5 Demonstrate routine laboratory techniques sufficient to orient new employees within the clinical laboratory. PI 6 Apply basic scientific principles in learning new techniques/procedures; demonstrate application of principles and methodologies. PI 7 Utilize computer technology applications to interact with computerized instruments and laboratory information systems. PI 8 Demonstrate adequate knowledge of computer software as it applies to document production, spreadsheets, and presentations. PI 9 Demonstrate professional behaviour with co-team mates. PI 10 Demonstrate sensitivity and compassion towards patients.