Fr. 113.90

Effective Health Care Management - An Evaluative Approach

English · Paperback / Softback

Shipping usually within 1 to 3 weeks (not available at short notice)

Description

Read more

Informationen zum Autor Colin Palfrey (BA MA MEd PhD PGCE) is a lecturer in the School of Health Science, University of Wales. Ceri Phillips (BSc PhD) is a Reader in the School of Health Science, University of Wales. Paul Thomas (BA MSc) is an External Fellow at the University of Glamorgan. Klappentext Effective Health Care Management presents the principles and criteria necessary to evaluate and enhance the quality of health care services in the NHS today. It provides an overview of health care management and health care policy, explores evidence based practice, and examines the ongoing need for management evaluation. The authors discuss the role of outcome measures, performance indicators, benchmarking, and individual performance review. They also address clinical governance, accountability and professional autonomy, and the problems underlying 'seamless service provision'. Zusammenfassung Presents the principles and criteria that are necessary to evaluate and enhance the quality of health care services in the NHS. This book offers an overview of health care management and health care policy. It explores evidence based practice! and examines the ongoing need for management evaluation. Inhaltsverzeichnis Ch 1. Introduction. Ch 2. The Nature of Health Care Management. Ch 3. Multiple Perspectives and Decision Making. Ch 4. Performance Management: Concepts and Approaches. Ch 5. The Evidence Based Organisation. Ch 6. Politics, Ethics and Health Care Management. Ch 7. Developing an Evaluative Approach to Health Care Management

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.