Obstetric Clinical Algorithms (2nd Edition)

Obstetric Clinical Algorithms, 2nd Edition is an essential quick-reference guide for obstetric care providers, offering clear, concise management algorithms for both common and unusual obstetric problems. Authored by internationally renowned experts Errol R. Norwitz, George R. Saade, Hugh Miller, and Christina M. Davidson, this updated edition presents evidence-based treatment options for over 80 high-risk obstetric complications. Each condition is presented in two-page, full-color spreads with clear diagrams and concise notes to support rapid decision-making in time-sensitive clinical scenarios.

This new edition includes updated sections on obesity, late-preterm and early-term deliveries, and pregnancy termination. The algorithms provide step-by-step guidance for managing a wide range of situations where either the mother, fetus, or both are at risk. With its comprehensive coverage and practical layout, this manual ensures obstetric care providers have the tools to ensure the best possible outcomes for mothers and babies.

Key Features:

• Comprehensive Algorithms: Covers over 80 high-risk obstetric complications with clear, step-by-step algorithms.
• Quick Reference: Two-page, full-color spreads allow for rapid decision-making in urgent clinical situations.
• Updated Content: New sections on obesity, late-preterm and early-term delivery, and pregnancy termination.
• Expert Guidance: Written by internationally renowned obstetricians, ensuring the most accurate and up-to-date practices.
• Evidence-Based: Provides clinical management options backed by the latest evidence, supporting optimal maternal and fetal care.

Ideal For:

• Obstetricians
• Maternal-fetal medicine specialists
• Midwives and nurse practitioners
• Labor and delivery nurses
• Medical students and residents in obstetrics and gynecology
• Healthcare professionals involved in high-risk pregnancy management

Authors:

Errol R. Norwitz (Author),

George R. Saade (Author),

Hugh Miller (Author),

Christina M. Davidson (Author)

From the book: