Osion kuvaus

  • Front Page

    Welcome to the course page Multilevel Operations Management in Social and Health Care Industry! Here you can find information on course schedule, lectures, assignments, and grading principles. Assignments will be returned via this page.

    You can access the Course Syllabus 2023, which contains the basic information concerning the course. Information is also included on this page.

    Background

    In working life, graduates with Industrial Engineering and Management background are often presented with fuzzily defined, open-ended problems for which there are no clear solution strategies. Often, due to the limited time resources, the analysis methods must be simplistic and focus on overall description of the situation rather than, say, explain intricate causal relations between objects. For the descriptive analysis project to be successful, one must choose a suitable combination of units of analysis, level of analysis, and available data.

    Social and health care industry is sometimes viewed through the lens of micro, meso and macro system levels. Micro-level consists of processes within one organization, macro-level concerns the national health system, and the meso-level falls between the two, pertaining to the interactions between groups of organizations. The goal of the course is to demonstrate how the proper choice of the level of analysis can help in creating actionable information with relatively simple descriptive analysis methods.

    Learning methods

    This exercise course is formed around three quantitative analysis cases, which focus on micro, meso, and macro levels of the social and healthcare system. All cases include a more theoretically focused short pre-lecture assignment, one lecture, and a more practically focused post-lecture case assignment.

    The lectures are held remotely via Zoom in June 2023. Lecture attendance is mandatory.

    The pre-lecture assignments will typically include a brief summarization of ca. 2 scientific articles related to the topic of the case assignment (micro, meso, and macro systems of care), and a short reflection of the managerial issues related to the topic. As the course schedule is relatively tight, the deadline for pre-assignments is strictly the beginning of each lecture.

    The case assignments will include a managerial problem, relevant for the system level of analysis, and a data set suitable for the level. For micro level, synthesized individual-level data will be used. For meso and macro levels, publicly available aggregate statistics will be employed. After the lectures, the students have two weeks to return each case assignment. The data sets are designed to be similar to ones previously employed by IEM master’s students in their special studies.

    Both pre-lecture assignment and post-lecture case assignments are returned on pdf format and are written on a structured Microsoft Word question sheet.

    The assignments are designed to be performed on Microsoft Excel. However, any other analysis software may be used.

    Learning outcomes

    Upon completion of the course, students have the capacity to:

    -Identify the central concepts of micro, meso and macro level systems, and analytical challenges related to each level of analysis;

    -Assess the characteristics of common data types used in the performance measurement of social and health care operations on different system levels, and the strengths and weaknesses associated with these data types in relation to their practical applicability;

    -Form arguments for managerial decision-making based on descriptive data analysis; and

    -Plan the appropriate level of analysis and initial analysis strategy for specific managerial problems in social and health care field.

    Assessment criteria'

    The course is graded on scale of 0-5, based on the amount of points collected by student from exercises. Total points possible to earn is 100. Missing a delivery of a pre-lecture assignment by deadline will result in zero points from that assignment. Missing a delivery of the case assignments will result in point reductions. Return of case assignments is mandatory to pass the course. The exact grading criteria will be published before or at the opening lecture.

    Course lectures are designed to be held at:

    Tuesday 6th June 2022, 1600 PM – 1730 PM

    Tuesday 20thJune 2022, 1600 PM – 1730 PM

    Tuesday 27th June 2022, 1600 PM – 1730 PM

    Course communication

    Course communication mainly via MyCourses platform, e-mail, or during lectures. Due to the holiday season, course staff may be unavailable to answer on certain periods, which will be disclosed on the opening lecture. If there are fundamental difficulties in passing the course assignments, course staff can give comments by email during June.


    For any questions before that, contact course teacher's Aalto email address (olli.halminen [at aalto])