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Through extensive and situational examples in the complex hospital setting, Dr. Bryce Taylor illuminates the principles of leadership, focusing on the challenges, the solutions, and the daily life of the head of a division, department, or program. In hospitals, just as in other large organizations, effective leaders must appreciate the big picture, pay attention to detail, and, above all, care about the careers of their constituents in addition to patient health. Here, Taylor outlines successes as well as failures, emphasizing that leadership, while an imperfect science, is based on common sense, integrity, an orientation to the welfare of colleagues, and a passionate and consistent commitment to the mission of an organization."--Pub. desc "The modern hospital represents a complex community in which life and death decisions are made on the front lines of patient care, and difficult operational and strategic initiatives are developed in the offices of institutional leaders. Effective Medical Leadership describes the unusual position of a medical leader in an organization often administered by non-medical managers

Hospitals --- Physician executives. --- Health services administration. --- Leadership. --- Health administration --- Health care administration --- Health care management --- Health sciences administration --- Health services management --- Medical care --- Health planning --- Public health administration --- Health services administrators --- Physicians --- Hospital administration --- Hospital management --- Health services administration --- Management --- Ability --- Command of troops --- Followership --- Administration. --- Administration --- Management and regulation --- Hospital Administration. --- Hôpitaux --- Médecins cadres. --- Santé, Services de

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The book presents new ideas to model and solve the flexible shift planning problem of personnel workers in the service industry. First, a new modeling approach is proposed that requires shifts to be generated implicitly rather than employing a predefined set of shift types like three 8-hour or two 12-hour shifts to cover varying forecast demand. The objective is to minimize the total cost of the assignments given the general and individual labor restrictions. Second, to find high quality assignments two solution methodologies are presented. A heuristic decomposition strategy decomposes the problem into weekly subproblems whereas a branch-and-price algorithm that uses several branching rules decomposes the model by worker types. The master problem uses a set covering formulation whereas the subproblems are mixed integer programs. The modeling and solution methodologies are developed and tested using the example of physicians from an anesthesia department of a German university hospital.

Hospitals -- Administration -- Mathematical models. --- Shift systems -- Mathematical models. --- Shift systems --- Industrial management --- Physicians --- Hospitals --- Time Management --- Personnel Staffing and Scheduling --- Models, Theoretical --- Personnel Management --- Health Facilities --- Health Personnel --- Human Engineering --- Psychology, Industrial --- Organization and Administration --- Investigative Techniques --- Health Care Facilities, Manpower, and Services --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Psychology, Applied --- Psychology --- Occupational Groups --- Health Services Administration --- Psychological Phenomena and Processes --- Health Care --- Behavioral Sciences --- Persons --- Behavioral Disciplines and Activities --- Named Groups --- Psychiatry and Psychology --- Hospitals & Medical Centers --- Labor & Workers' Economics --- Management Theory --- Public Health --- Business & Economics --- Management --- Health & Biological Sciences --- Mathematical models --- Time management --- Employees --- Industrial management. --- Administration. --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Hospital administration --- Hospital management --- Management and regulation --- Medicine. --- Organization. --- Planning. --- Operations research. --- Decision making. --- Public health. --- Mathematical optimization. --- Management science. --- Medicine & Public Health. --- Medicine/Public Health, general. --- Operation Research/Decision Theory. --- Optimization. --- Public Health. --- Operations Research, Management Science. --- Business --- Industrial organization --- Health services administration --- Operations Research/Decision Theory. --- Organisation --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Pathology --- Health Workforce --- Creation (Literary, artistic, etc.) --- Executive ability --- Organization --- Quantitative business analysis --- Problem solving --- Statistical decision --- Community health --- Health services --- Hygiene, Public --- Hygiene, Social --- Public health services --- Public hygiene --- Social hygiene --- Health --- Human services --- Biosecurity --- Health literacy --- Medicine, Preventive --- National health services --- Sanitation --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Decision making