Course catalog tufts co store

Taught by distinguished professors who are experts in a variety of fields, courses will prepare you to leverage statistical analysis and research to help solve public health challenges, such as disease outbreak or inequitable access to services. This course provides an introduction to the epidemiological perspective on health and disease. The course emphasizes the principles and methods used to describe and evaluate the patterns of illness in communities and in population subgroups.

Methods and research designs used in the investigation of the etiology of infectious and noninfectious disease are presented.

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Lectures and laboratory examples illustrate a wide range of contemporary health problems. This course provides a foundation for understanding financial and operational management of healthcare organizations.

You will learn how to properly create and monitor a budget while also learning to benchmark financial and nonfinancial performance in the industry for the most effective decision making. After the financial management foundation is set, the course will explore general management theory and topics to assist with developing useful skills in human resources management, project management, strategic planning, health information technology, conflict resolution, and negotiations.

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This course will provide techniques and tools that healthcare organizations use every day to make the most effective financial and operational decisions. Application of these techniques and tools will be described in the context of real-life healthcare examples and applicable case studies, while also discussing them in the context of the latest regulatory and financing changes being considered or implemented in the industry. The course will introduce the profession of public health, the social ecological model, the social determinants of health, and health equity.

You will define complex public health problems and build skills to assess root causes of public health problems that impact population needs, assets, and capacities within a community. Employing an equity lens, you will reflect on your own biases, assumptions, experiences, and exposures. You will be introduced to critical public health challenges across an array of public health domains, including health care services and systems, environmental health, occupational health, and health behavior.

You will learn practice-based tools for conducting needs assessments and characterizing public health problems using systems thinking. This course will introduce concepts, frameworks, and skills for how public health professionals intervene at multiple levels to address critical public health problems of our time, and to improve population health and health equity.

Specifically, you will engage in a variety of active learning scenarios, including case discussions, role plays, simulations, and project development and implementation. This course will provide a foundational skill set for how to effectively leverage action at multiple levels to make meaningful contributions to improve population health.

You will be introduced to an array of strategies for action and will practice these public health skills throughout the semester, including emergency management, working in teams, engaging stakeholders, building coalitions, program planning, evaluating policies, health impact analysis, and advocacy.

Throughout the class, you will continue to examine how the public health infrastructure functions across multiple levels of government and the role of evidence, politics, stakeholders, and power in influencing public health action and social change. This course provides an introduction to the basic principles and applications of statistics as they are applied to problems in clinical and public health settings. Topics include the description and presentation of data, random variables and distributions, descriptive statistics, introduction to probability, estimation, elements of hypothesis testing, and one- and two-sample tests, ANOVA including repeated measuresnon-parametric tests, and an introduction to linear and logistic regression.

Lectures, problem sets, and computer output are used to develop these concepts. In this introductory course, you will become familiar with how public health interventions can be evaluated. Formative, process, and outcome evaluation will be addressed. You will become familiar with commonly used planning tools and data collection methods.

By the end of the semester, you will have practiced data collection skills and be able to apply content and conceptual knowledge learned in the course to the development of an evaluation plan.

You will explore a variety of topics related to modeling continuous, binary, and survival time outcomes in terms of multiple risk factors.

Topics include the analysis of variance and covariance, linear regression, multiple linear regression, nonlinear regression, logistic regression, nonparametric regression, and regression for survival times, including proportional hazard models.

This applied course emphasizes experiencing the entire analytical process: from conceptualizing research questions, preparing data, constructing and diagnosing models using computer methods, to communicating findings to various audiences.

This course uses real-world examples to introduce basic survey methodology and data management. You have the opportunity to practice the fundamentals of good survey design and how to enter, code, and clean the data collected. Topics include formulating research questions, sampling, sample size determination, linking instruments to conceptual frameworks, principles of item construction and scale development, modes of survey administration, and qualitative methods.The professional curriculum leading to the DPT degree requires successful completion of semester credit hours over six continuous academic semesters spanning 24 months.

course catalog tufts co store

The DPT core curriculum of foundational science, clinical science, and patient and practice management courses. Our program optimizes technology, and evidence-based teaching strategies for foundational didactics integrates critical clinical reasoning and psychomotor skill development for student learning.

course catalog tufts co store

Our curriculum is delivered in a blended learning environment with virtual interactive online coursework, eight 8 onsite clinical lab immersion sessions, and clinical education. The DPT curriculum integrates course content using signature pedagogies team-based learning and case-based learning to ensure that learning emphasizes collaboration, critical thinking, research, and student accountability. Our dynamic faculty make this curriculum come alive provides a balance of theoretical, practical, and analytical instruction to prepare students for healthcare's unique challenges in the 21st century.

The collection and interconnectedness of the body systems allow for human movement to occur. The knowledge and integration of body systems is necessary for students to view the patient comprehensively. The student's responsibility is to integrate information across multiple systems that affect a patient's movement and function. The human movement system represents the collection of systems cardiovascular, pulmonary, endocrine, integumentary, nervous, and musculoskeletal that interact to move the body or its parts.

The integration of these systems is taught within the scope of examination through management for the populations we serve.

course catalog tufts co store

The curriculum plan is divided into five categories or tracks rooted in the human movement system ex. Cardiovascular, pulmonary, endocrine, integumentary, nervous, and musculoskeletal. These systems are integrated through Tufts DPT coursework through planned learning activities and assessments.

Click here for more information regarding the accreditation status of Tufts DPT program. Tufts University School of Medicine. Curriculum Overview. Curriculum Plan The collection and interconnectedness of the body systems allow for human movement to occur.These lists are updated periodically as the Tufts course catalog evolves.

Current versions of the allowed elective lists are maintained on the student information system SIS. To find these lists:. In addition, at least two HASS courses must be taken in the same department. Given the increasing importance of biomedical applications in mechanical engineering practice and research, students are encouraged to include a biological science component to their elective program.

In particular, the department recommends strongly that students consider taking ES11—Fundamentals of Biological Systems as their Natural Science Elective. BIO13 as a Science Elective. Free Electives are an integral and complementary part of the curriculum and students are urged to consult with their academic advisors in choosing these electives. For example, students may wish to take additional humanities and social science courses preparing them for professional activities and graduate studies in areas such as law, economics, organization and social aspects of engineering, management, and technology and policy.

Students may use the free electives to satisfy the requirements of an additional major or minor. Department of Mechanical Engineering. Master's Ph. Program Electives. Natural Science Electives Given the increasing importance of biomedical applications in mechanical engineering practice and research, students are encouraged to include a biological science component to their elective program.

Free Electives Free Electives are an integral and complementary part of the curriculum and students are urged to consult with their academic advisors in choosing these electives. The following requirements must also be fulfilled: The student has junior or senior standing and has declared a major in Mechanical Engineering. The student must submit a written internship proposal, which must be approved by the academic advisor, the faculty mentor, and Department Chair prior to the semester in which the internship will be performed.

Form is available here. The faculty mentor must have technical control of any work that receives credit in the Department.

A written report must be submitted, to be evaluated by the faculty mentor and the outside institutional supervisor. Work of a proprietary nature cannot be used as a basis for the granting of course credit.

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Creator: Marshak, Anastasia. Black British Novels. Creator: Photopoulos, Cornelia. Creator: Napier, Ryan. The melody will always appear!Interested in learning how to make your data analysis and other scientific computations reproducible? Are we doing enough to help all patients, of all backgrounds, get the care they need when they interface with our health care system?

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course catalog tufts co store

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Coursera Project Network. Guided Project. Master Shadow in Inkscape. Design an eBook Cover that stands out using Canva.Taught by distinguished professors who are experts in their field, courses will prepare you to use emerging technologies, analytical tools, and existing information systems to improve patient outcomes and develop better solutions for health organizations.

This week course provides an overview of the fields of informatics and analytics in the context of data life cycle and how they emerged over time following the evolution of information technology, and specifically, health information technology electronic health records, telehealth, and digital health.

Students will learn how these disciplines are used in healthcare, public health, and research via specific business cases and use cases. This seven-week survey course provides a broad overview of how health data are used today. We discuss the health data ecosystem and technologies, and data in healthcare, clinical research, and public health. Special topics are social determinants of health and environmental data.

The asynchronous material is provided by faculty with expertise in these fields. Assessments will be weekly, both individually and in groups, and with a final paper critique group assignment. We all generate data through smartphones, sensors, trackers, and other devices, and our physicians generate data about us.

In this course, we look at how medical practitioners, technology professionals, data analysts, and public health professionals use technology and data to bring value to the lives of patients.

This course focuses on the variety of technologies available, how they are used, and how they can be used ethically to assist in behavior change, diagnosis, and treatment for individuals and populations.

Program Electives

The course provides an overview of digital health through lectures, readings, and expert guest interviews. Students engage with real technologies and examine the experience of using these, and their potential applications, through assignments and class discussion.

The course culminates in a group design project, where students create a viable digital solution to a health problem. This week course is focused on the use of health information technology HIT in healthcare organizations.

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The course consists of three modules: 1 introduction to health information systems in care delivery settings, including electronic health record systems, financial systems, laboratory information systems, imaging information systems, personal health record, telehealth, mobile health, public health, and population health systems; 2 HIT standards and systems interoperability; and 3 clinical decision support. Using various use case examples, students will learn how informatics and analytics projects enable successful HIT adoption and use by health professionals.

This week elective course is focused on best practices in health information technology HIT security and privacy used to safeguard the confidentiality, integrity, availability, and privacy of health data, especially personal health information PHI.

As such, students will develop a practical understanding of: a laws, regulations, and policies related to information assurance, security, and privacy of data in healthcare systems; b Health Information Portability and Accountability Act HIPAA regulation and the legal and other consequences of noncompliance with the HIPAA security rule; c security threats and what to do in the event of a breach of HIT systems and the unauthorized disclosure of PHI; and d the role of usable security and risk management to protect PHI and other healthcare data.

In this seven-week course, students will develop an understanding of health informatics, broadly considered. The course learning objectives include gaining a system view of information problems, which include examining broad context organizational issues, roles, business processes, information systems, data, information, knowledge, algorithms, and underlying technologies.

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The Business of Healthcare is a week elective that will provide students with a foundation for understanding financial and operational management of healthcare organizations.

Students will learn how to properly create and monitor a budget while also learning to benchmark financial as well as nonfinancial performance in the industry.

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After the financial management foundation is set, the course will then explore general management topics and assist with developing useful skills in human resources management, project management, strategic planning, conflict resolution, and negotiations. Information governance IG is defined as an enterprise-wide framework that defines how information is controlled, accessed, and used, as well as the mechanisms that enforce it. IG framework is a foundation for the data trust within and across organizations.

This week elective provides students with an understanding of IG framework in the modern electronic-health data environment; the needs for such a framework; and the process and the implications of putting one into place.

This seven-week course provides students with a foundation in project management. Project management competency is essential in healthcare, where projects are becoming increasingly more complex. The ability to shepherd health informatics and analytics projects through, from making the business case through to capturing lessons learned for continuous improvement, is essential for ensuring projects meet the defined objectives and are completed within the limited time often allocated for completion.

Students in this course will learn a variety of best practices, tools, and techniques that will enable them to better manage and oversee health informatics and analytics projects of any complexity and size.


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