Your browser doesn't support javascript.
loading
Increasing Nursing Documentation Efficiency With Wearable Sensors for Pressure Injury Prevention.
Rose, Angelia; Cooley, Annemari; Yap, Tracey L; Alderden, Jenny; Sabol, Valerie K; Lin, Jiunn-Ru Angela; Brooks, Katie; Kennerly, Susan M.
Afiliação
  • Rose A; Angelia Rose is a nurse practitioner specializing in wound care at Hunt Regional Medical Center, Greenville, Texas.
  • Cooley A; Annemari Cooley is senior director of clinical development with Smith+Nephew Advanced Wound Management division, Fort Worth, Texas.
  • Yap TL; Tracey L. Yap is an associate professor in the Duke University School of Nursing and a senior fellow in the Duke University Center for the Study of Aging and Human Development, Durham, North Carolina.
  • Alderden J; Jenny Alderden is a critical care nurse specialist and an associate professor at Boise State University, Boise, Idaho.
  • Sabol VK; Valerie K. Sabol is a professor and Chair, Division of Healthcare in Adult Populations, Duke University School of Nursing.
  • Lin JA; Jiunn-Ru (Angela) Lin is a data analyst and a statistician with Smith+Nephew Advanced Wound Management division.
  • Brooks K; Katie Brooks is a Doctor of Nursing Practice student at Duke University School of Nursing.
  • Kennerly SM; Susan M. Kennerly is a professor in the Department of Nursing Science at East Carolina University School of Nursing, Greenville, North Carolina.
Crit Care Nurse ; 42(2): 14-22, 2022 Apr 01.
Article em En | MEDLINE | ID: mdl-35362082
ABSTRACT

BACKGROUND:

Documentation presents an overwhelming burden to bedside clinical nurses. Nurses must manually enter several hundred data points into electronic health record flow sheets, taking time from direct patient care and introducing opportunity for documentation errors. LOCAL

PROBLEM:

A patient record audit revealed a significant gap in documented patient repositioning events. This quality improvement initiative evaluated automated repositioning documentation via a wearable sensor system.

METHODS:

A pretest-posttest design was used to examine retrospectively collected manual documentation and prospectively collected sensor documentation of patient repositioning events in a 148-bed rural community hospital. Repositioning documentation manually entered into electronic health records during the baseline period (January 1 to February 28, 2018) was compared with automatic, sensor-based repositioning documentation during the implementation period (corresponding months in 2019 and 2020 to eliminate seasonality).

RESULTS:

A convenience sample of 105 patient records was reviewed. The mean documented patient repositioning interval was 6.6 hours in the baseline period and 2.4 hours in the implementation period. The improvement was most pronounced in patients with obesity, whose mean repositioning interval improved from 9.4 hours to 2.5 hours. Documentation compliance (actual vs expected repositioning documentation) was 31% with manual documentation and 82% with automatic sensor-based documentation.

CONCLUSIONS:

Repositioning was documented more than 2.5 times as frequently with sensor technology as with manual data entry. Body position and reasons for delayed repositioning events were documented more completely with sensor technology. Automated documentation may improve the accuracy of electronic health records and reduce the documentation burden for nurses.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Úlcera por Pressão / Dispositivos Eletrônicos Vestíveis / Cuidados de Enfermagem Tipo de estudo: Guideline / Observational_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Úlcera por Pressão / Dispositivos Eletrônicos Vestíveis / Cuidados de Enfermagem Tipo de estudo: Guideline / Observational_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article