Syndrome-based Approach to Diagnosis

Syndrome-based Approach to Diagnosis - A Practical Guide offers lecturers an alternative training concept in their teaching, which provides students with a model for self-study as well as the educational tools for learning how to think in clinical terms.

Many young, inexperienced doctors, have difficultly pinpointing a diagnosis: Is it a condition to which certain diseases could belong, or a disease definable in line with certain criteria? How can I apply my basic knowledge of diseases to a real patient? How can I find the correct diagnosis for a disease that I am seeing for the very first time? The traditional diagnostic pathways conveyed by current methods of teaching, from visual identification of the disease, knowledge of diseases, understanding of symptoms or patterns to diagnosis, leave certain diagnostic questions unanswered, especially on first experience of such a clinical pattern. Syndrome-based Approach to Diagnosis: A Practical Guide offers lecturers an alternative training concept in their teaching, which provides students with a model for self-study as well as the educational tools for learning how to think in clinical terms.

Syndrome-based Approach to Diagnosis A Practical Guide uses clinical cases studies to encourage problem-based learning Full color illustrations help to clarify the information for the reader The use of decision trees of internal medicine covering all the major teaching units (symptoms, syndromes and diseases), offers succinct information available for quick reference

Inhalt

1. Two principles and two diagnostic pathways for clinical teaching and practice.- 2. Clinical didactics and the systemic problems of clinical teaching.- 3. Objectives central to clinical teaching.- 4. Practice-oriented, basic knowledge of a clinical discipline or the curriculum of practical clinical teaching.- 5. Training levels to dictate the standard of education.- 6. New didactic approaches to clinical teaching.- 7. Manuals for active self-study.- 8. 'Diagnose to target' in the setting of decision trees.