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Electronic medical record implementation in tertiary care: factors influencing adoption of an electronic medical record in a cancer centre.
Janssen, Anna; Donnelly, Candice; Elder, Elisabeth; Pathmanathan, Nirmala; Shaw, Tim.
Afiliación
  • Janssen A; Faculty of Medicine and Health, Charles Perkins Centre, The University of Sydney, Level 2, Charles Perkins Centre D17, Sydney, NSW, Australia. anna.janssen@sydney.edu.au.
  • Donnelly C; Sydney West Translational Cancer Research Centre, Westmead Hospital, Sydney, NSW, Australia. anna.janssen@sydney.edu.au.
  • Elder E; Faculty of Medicine and Health, Charles Perkins Centre, The University of Sydney, Level 2, Charles Perkins Centre D17, Sydney, NSW, Australia.
  • Pathmanathan N; Sydney West Translational Cancer Research Centre, Westmead Hospital, Sydney, NSW, Australia.
  • Shaw T; Westmead Breast Cancer Institute, Western Sydney Local Health District, Sydney, NSW, Australia.
BMC Health Serv Res ; 21(1): 23, 2021 Jan 06.
Article en En | MEDLINE | ID: mdl-33407449
ABSTRACT

BACKGROUND:

Electronic Medical Records (EMRs) are one of a range of digital health solutions that are key enablers of the data revolution transforming the health sector. They offer a wide range of benefits to health professionals, patients, researchers and other key stakeholders. However, effective implementation has proved challenging.

METHODS:

A qualitative methodology was used in the study. Interviews were conducted with 12 clinical and administrative staff of a cancer centre at one-month pre-launch and eight clinical and administrative staff at 12-months post-launch of an EMR. Data from the interviews was collected via audio recording. Audio recordings were transcribed, de-identified and analysed to identify staff experiences with the EMR.

RESULTS:

Data from the pre-implementation interviews were grouped into four categories 1) Awareness and understanding of EMR; 2) Engagement in launch process; 3) Standardisation and completeness of data; 4) Effect on workload. Data from the post-launch interviews were grouped into six categories 1) Standardisation and completeness of data; 2) Effect on workload; 3) Feature completeness and functionality; 4) Interaction with technical support; 5) Learning curve; 6) Buy-in from staff. Two categories Standardisation and completeness of data and effect on workload were common across pre and post-implementation interviews.

CONCLUSION:

Findings from this study contribute new knowledge on barriers and enablers to the implementation of EMRs in complex clinical settings. Barriers to successful implementation include lack of technical support once the EMR has launched, health professional perception the EMR increases workload, and the learning curve for staff adequately familiarize themselves with using the EMR.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Atención Terciaria de Salud / Registros Electrónicos de Salud Tipo de estudio: Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: BMC Health Serv Res Asunto de la revista: PESQUISA EM SERVICOS DE SAUDE Año: 2021 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Atención Terciaria de Salud / Registros Electrónicos de Salud Tipo de estudio: Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: BMC Health Serv Res Asunto de la revista: PESQUISA EM SERVICOS DE SAUDE Año: 2021 Tipo del documento: Article País de afiliación: Australia