A diabetes dashboard and physician efficiency and accuracy in accessing data needed for high-quality diabetes care.
Ann Fam Med
; 9(5): 398-405, 2011.
Article
em En
| MEDLINE
| ID: mdl-21911758
ABSTRACT
PURPOSE:
We compared use of a new diabetes dashboard screen with use of a conventional approach of viewing multiple electronic health record (EHR) screens to find data needed for ambulatory diabetes care.METHODS:
We performed a usability study, including a quantitative time study and qualitative analysis of information-seeking behaviors. While being recorded with Morae Recorder software and "think-aloud" interview methods, 10 primary care physicians first searched their EHR for 10 diabetes data elements using a conventional approach for a simulated patient, and then using a new diabetes dashboard for another. We measured time, number of mouse clicks, and accuracy. Two coders analyzed think-aloud and interview data using grounded theory methodology.RESULTS:
The mean time needed to find all data elements was 5.5 minutes using the conventional approach vs 1.3 minutes using the diabetes dashboard (P <.001). Physicians correctly identified 94% of the data requested using the conventional method, vs 100% with the dashboard (P <.01). The mean number of mouse clicks was 60 for conventional searching vs 3 clicks with the diabetes dashboard (P <.001). A common theme was that in everyday practice, if physicians had to spend too much time searching for data, they would either continue without it or order a test again.CONCLUSIONS:
Using a patient-specific diabetes dashboard improves both the efficiency and accuracy of acquiring data needed for high-quality diabetes care. Usability analysis tools can provide important insights into the value of optimizing physician use of health information technologies.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Interface Usuário-Computador
/
Apresentação de Dados
/
Diabetes Mellitus
/
Registros Eletrônicos de Saúde
/
Médicos de Atenção Primária
Tipo de estudo:
Etiology_studies
/
Evaluation_studies
/
Prognostic_studies
/
Qualitative_research
/
Risk_factors_studies
Aspecto:
Patient_preference
Limite:
Adult
/
Female
/
Humans
/
Male
/
Middle aged
Idioma:
En
Revista:
Ann Fam Med
Assunto da revista:
MEDICINA DE FAMILIA E COMUNIDADE
Ano de publicação:
2011
Tipo de documento:
Article
País de afiliação:
Estados Unidos