This course incorporates the use of ethical principles in critical decision-making processes across the organization. The learner will be prepared to incorporate business skills, knowledge of healthcare operations, and use of advanced communication skills to evaluate organizational dynamics, strategic planning, and performance.

This course is offered Thursdays 5:00 to 7:30 pm.

This is a 3 credit course.

This course is designed to provide the student with the opportunity to apply theoretical foundations of the pre, intra, and post-operative environment from N610 to the clinical setting. A minimum number of 270 of preceptor monitored direct patient clinical hours are required. Emphasis on developing advanced psychomotor skills such as tissue handling, suturing, and hemostasis in relation to the surgical patient. 

Must have completed N610.

This course is an online module with on-site clinical practicum.

This course requires prior approval of instructor contact maureen.wassef@umassmed.edu

This is a 3 credit course.  

The focus of this course is on the interrelation of human systems and the effect that illness in one body system has on the functions of the whole person. Concepts related to clinical physiology and research literature related to pathophysiology of various body systems are examined. Pertinent literature related to nursing interventions associated with improved physiological status is analyzed.

This course is offered remote asynchronous.

This course requires prior approval of director contact jean.boucher@umassmed.edu

This is a 3 credit course.  

This course emphasizes the pharmacological knowledge required by the advanced practice nurse to safely treat patients with common acute and chronic health problems. Students apply knowledge of clinical pharmacokinetics and pharmacodynamics of select medications to the management of common health conditions occurring in pre-and post–natal women, children, adolescents, adults, and older adults. Ethical and legal aspects of advanced nursing practice prescribing will be fully addressed. This course will provide the basis for safely and effectively incorporating drug therapy to optimize health outcomes.

BSN students recommended to take Advanced Pathophysiology first.

This course is offered Wednesday afternoons 1:00 to 4:00 pm.

This course requires prior approval of instructor contact susan.feeney@umassmed.edu

This is a 3 credit course.

This survey course aims to educate advanced practice nurses to the rudiments of safe and effective prescribing practices in the treatment of psychiatric conditions across the lifespan.  The course utilizes a symptom management framework that integrates concepts from psychobiology with pathophysiology of the psychiatric diseases.  Emphasis is placed on gaining a fundamental understanding of the hypothesized compliment between the pathophysiological basis of the disease state and mechanism of action of drugs as a basis for rational selection of pharmacologic treatment.  Current standards of practice and treatment algorithms are emphasized in helping the student develop a working knowledge of psychopharmacology for practice.

Students recommended to take Advanced Pharmacology first.

This course is offered on-line. Day/time TBD.

This course requires prior approval of instructor contact mechelle.plasse@umassmed.edu

This is a 3 credit course.

This course provides the student with an opportunity to analyze and apply a variety of classroom and clinical teaching strategies Emphasis is placed on the alignment of instructional strategies with course objectives as well as the selection of evaluation methods to directly assess student learning. 

This course is online with 4 zoom calls on Tuesday 5:00 to 6:00pm.

This is a 3 credit course.

This introductory course will expose learners to science improvement concepts and the use of informatics necessary to design and to evaluate improvement in health care organizations. The focus will be on organizational improvement science and the use of data, systems, and tools to augment healthcare improvement processes and its translation from to research. This course will prepare the learner to lead and design health care improvement while leveraging technology and tools to catalyze the advancement of nursing practice and health care delivery. 

This course is offered three Saturday online classes

This course requires prior approval of instructor contact jean.boucher@umassmed.edu

This is a 3 credit course

The quality indicators for quantitative research designs will be highlighted with emphasis on the appropriateness of purpose, design, sampling methods, data collection, measurement, and data analysis. Threats to internal and external validity will be considered. Design, implementation, management, analysis and dissemination of descriptive, experimental, quasi-experimental, and intervention research will be analyzed. Big data, data science and the future of quantitative nursing research will be explored.

This course is offered Tuesdays 1:00 to 4:00 pm.

This course requires prior approval of instructor contact nancy.morris@umassmed.edu

This is a 3 credit course.

This course provides the student with an introduction to inferential statistics. Emphasis is placed on practical application, rather than mathematical theory. Topics include t-tests, analysis of variance (ANOVA), analysis of covariance (ANCOVA), repeated measures ANOVA and mixed ANOVA, multivariate analysis of variance (MANOVA), correlations and scatter plots and regression analyses. Currently this course is offered in class but due to the current conditions may be changed to a Hybrid.

This course is offered Tuesdays 4:30 pm to 7:30 pm. 

This course requires prior approval of instructor contact james.fain@umassmed.edu

This is a 3 credit course.

This course builds on N815 (Statistical Analysis of Data) to provide more in-depth instruction on practical applications of multivariate data analysis, focusing on statistical issues and techniques that students are likely to encounter in their research. Topics covered include pre-analysis data screening, assessment of model fit for analysis of variance and covariance (ANOVA / ANCOVA) and linear regression, model selection techniques, repeated measures ANOVA and hierarchical linear models, logistic regression, sample size and power determination, and (time permitting) survival analysis and methods for handling missing data.

This course is offered Tuesdays 9:00 pm to 12:00 pm. 

This course requires prior approval of instructor contact sybil.crawford@umassmed.edu

This is a 3 credit course.