NSE11 Lecture Notes - Lecture 3: Etiology, Critical Thinking, Nursing Diagnosis
Document Summary
Nse 11 winter week 3 diagnosic reasoning (nursing diagnosis) Each diagnosis is made up of two parts. Statements may be actual, risk, health promoion or wellness diagnoses. The diagnosic process works with assessment data about a paient/client to arrive at a clinical judgement that will provide direcion for nursing care. Steps include data clustering, inferenial reasoning, idenifying problems/needs, and formulaing the diagnosic statement. Clusters of data contain deining characterisics clinical criteria or assessment indings that help conirm an actual nursing diagnosis . Done before analysis and interpretaion of data. Data validaion compares data to another source (paient; textbook; other nurses and health care team members) Data clustering: organizes data into meaningful clusters to help recognize signiicant cues/problems. Recognizes paterns in data which indicate a current or potenial problem. Data interpretaion uses inferenial reasoning (ataching meaning to clinical data) Compare a client"s data to the client"s normal values or a set of standard norms.
