Published on in Vol 7, No 1 (2019): Jan-Mar

The Impact of an Electronic Patient Bedside Observation and Handover System on Clinical Practice: Mixed-Methods Evaluation

The Impact of an Electronic Patient Bedside Observation and Handover System on Clinical Practice: Mixed-Methods Evaluation

The Impact of an Electronic Patient Bedside Observation and Handover System on Clinical Practice: Mixed-Methods Evaluation

Journals

  1. Olsen S, Søreide E, Hillman K, Hansen B. Succeeding with rapid response systems – a never-ending process: A systematic review of how health-care professionals perceive facilitators and barriers within the limbs of the RRS. Resuscitation 2019;144:75 View
  2. Redley B, Taylor N, Hutchinson A. Barriers and enablers to nurses' use of harm prevention strategies for older patients in hospital: A cross‐sectional survey. Journal of Advanced Nursing 2022;78(11):3710 View
  3. Carter B, Saron H, Siner S, Preston J, Peak M, Mehta F, Lane S, Lambert C, Jones D, Hughes H, Harris J, Evans L, Dee S, Eyton-Chong C, Sefton G, Carrol E. Health professionals’ initial experiences and perceptions of the acceptability of a whole-hospital, pro-active electronic paediatric early warning system (the DETECT study): a qualitative interview study. BMC Pediatrics 2022;22(1) View
  4. Saron H, Carter B, Siner S, Preston J, Peak M, Mehta F, Lane S, Lambert C, Jones D, Hughes H, Harris J, Evans L, Dee S, Eyton-Chong C, Carrol E, Sefton G. Parents’ experiences and perceptions of the acceptability of a whole-hospital, pro-active electronic pediatric early warning system (the DETECT study): A qualitative interview study. Frontiers in Pediatrics 2022;10 View
  5. Forde‐Johnston C, Butcher D, Aveyard H. An integrative review exploring the impact of Electronic Health Records (EHR) on the quality of nurse–patient interactions and communication. Journal of Advanced Nursing 2023;79(1):48 View
  6. Pérez-Martí M, Casadó-Marín L, Guillén-Villar A. Electronic Records With Tablets at the Point of Care in an Internal Medicine Unit: Before-After Time Motion Study. JMIR Human Factors 2022;9(1):e30512 View
  7. Pedroso Alves J, Fernandez Lourenço Haddad M, Da Silva Melo Malaquias T, Rossaneis M, Trindade Radovanovic C, Negrão Guassú Nogueira D. Efetividade de um algoritmo para identificar precocemente a deterioração clínica em unidades de internação adulto. Ciência, Cuidado e Saúde 2023;22 View
  8. Wan Y, Wright M, McFarland M, Dishman D, Nies M, Rush A, Madaras-Kelly K, Jeppesen A, Del Fiol G. Information displays for automated surveillance algorithms of in-hospital patient deterioration: a scoping review. Journal of the American Medical Informatics Association 2023;31(1):256 View
  9. Sariköse S, Şenol Çelik S. The Effect of Clinical Decision Support Systems on Patients, Nurses, and Work Environment in ICUs. CIN: Computers, Informatics, Nursing 2024;42(4):298 View
  10. Wong D, Bonnici T, Gerry S, Birks J, Watkinson P. Effect of Digital Early Warning Scores on Hospital Vital Sign Observation Protocol Adherence: Stepped-Wedge Evaluation. Journal of Medical Internet Research 2024;26:e46691 View