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Rutgers SHP Requirements for Graduation and Course Descriptions

Department of Clinical Laboratory Sciences

Clinical Laboratory Science

CLSC7290 - Clinical & Laboratory Diagnosis Correlation

Course Description

A comprehensive exploration and analysis of clinical laboratory screening, diagnosis, and monitoring utilizing a case-based approach and active problem-solving skills that simulates the activities of clinical residency aligning with the four Diagnostics Consultation Model (DCM)© settings. Students participate in cases individually and as a team, with active problem-solving, collegial interaction, and provide formal presentations based on assigned cases in all clinical laboratory science disciplines, and a course capstone analysis of a utilization review sample data with written report and PowerPoint presentation. Emphasis is on correlation to medical diagnosis, therapy, prevention, and treatment guidelines. All aspects of laboratory services, from test selection to cost effective utilization and patient monitoring, will be explored to enhance consultative skills in preparation for interprofessional experiences in the DCM© settings. Students will be introduced to health services delivery processes within affiliated clinical facilities and health information systems for advancing treatment and testing guidelines and health outcomes assessment.

Credits/Modes of Instruction

Credits: 3

Participants should anticipate spending approximately 135 hours on the course, or an average of 9-12 hours per week for 15 weeks. Various active teaching/learning strategies and techniques will be utilized via online delivery of the course. Modes of instruction and course format include posted lectures, questions for online discussion, critical thinking activities, directed study, Internet-enhanced reading assignments, and live webinar(s).

Prerequisites

Matriculated in the Doctorate in Clinical Laboratory Science Program (DCLS)
Taken the last semester before beginning the DCLS clinical residency
Completion of all pre-clinical residency courses
Consult with the program director to confirm eligibility to enroll

Course Goals and Outcomes:

Goals

This course is part of a course series, CLSC 5213 Clinical Laboratory Data Analysis (CLDA), CLSC 7290 Clinical & Laboratory Diagnosis Correlation (CLDC), and CLSC 7199, 7299, 7399 DCLS Clinical Residency/Practice (I, I, III). Daily tasks (activities of daily value, ADV) of the DCLS will be identified, characterized, and linked inductively to the marketplace quality driver they measure, i.e., coercive forces (regulations); normative forces (standards/benchmarks), and/or memetic forces (competition). The first course in the series, CLDA, introduced quality theory, situate clinical laboratory quality investigations within these theoretical constructs, and explored the regulations and standards governing clinical laboratory quality improvement. This second course in the series, CLDC, will provide opportunity for DCLS students to develop processes using published and/or simulated data to apply and evaluate interventions introduced in CLDA. These interventions are designed to address patient safety core competencies in the areas of patient-centered care, interdisciplinary team practice, evidence-based practice, quality improvement, and informatics. The third level of courses in the series, Clinical Residency/Practice I, II, and III will provide opportunity for DCLS students to draw from concepts introduced in CLDA and applied in CLDC to construct interventions and testing algorithms to address issues of quality, value, and patient safety relevant to their clinical sites and experiences.

Outcomes

Upon completion of the course, the student will be able to:
Define the Diagnostics Consultation Model (DCM)© as a theoretical frame and methodological approach to implementation of DCLS practice.
Model consultation skills related to all forms of communication, i.e., in person, presentation, written, shared decision-making, with consumers/patients and healthcare providers.
Identify the ethical dimensions related to consultation communications.
Gather information on types of consultation opportunities appropriate for DCLS interventions i.e. electronic health record (EHR) reviews and documentation of consultations with other healthcare providers.
Interact with clinical data sets to obtain quality information related to most frequent, highest risk, and highest cost diagnoses utilizing clinical laboratory resources and formulate quality improvement interventions.