title: Assessment of nursing care using indicators generated by software.
abstract: OBJECTIVE
  to analyze the efficacy of the Nursing Process in an Intensive Care Unit using indicators generated by software.
  
  
  METHODS
  cross-sectional study using data collected for four months. RNs and students daily registered patients, took history (at admission), performed physical assessments, and established nursing diagnoses, nursing plans/prescriptions, and assessed care delivered to 17 patients using software. Indicators concerning the incidence and prevalence of nursing diagnoses, rate of effectiveness, risk diagnoses, and rate of effective prevention of complications were computed.
  
  
  RESULTS
  the Risk for imbalanced body temperature was the most frequent diagnosis (23.53%), while the least frequent was Risk for constipation (0%). The Risk for Impaired skin integrity was prevalent in 100% of the patients, while Risk for acute confusion was the least prevalent (11.76%). Risk for constipation and Risk for impaired skin integrity obtained a rate of risk diagnostic effectiveness of 100%. The rate of effective prevention of acute confusion and falls was 100%.
  
  
  CONCLUSIONS
  the efficacy of the Nursing Process using indicators was analyzed because these indicators reveal how nurses have identified patients' risks and conditions, and planned care in a systematized manner.
authors.affiliation: Hospital da Polícia Militar, Belo Horizonte, MG, Brazil.
authors.forename: Ana Paula Souza
authors.initials: AP
authors.lastname: Lima
authors.affiliation: Escola de Enfermagem, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
authors.forename: Tânia Couto Machado
authors.initials: TC
authors.lastname: Chianca
authors.affiliation: Escola de Enfermagem, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte, MG, Brazil.
authors.forename: Meire Chucre
authors.initials: MC
authors.lastname: Tannure
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D007362:Intensive Care Units; D008297:Male; D008875:Middle Aged; D009733:Nursing Diagnosis; D009736:Nursing Process / Q000592:standards*; D019984:Quality Indicators, Health Care; D012984:Software