Towards a minimum dataset in urology.

Abstract

OBJECTIVE: To establish and prospectively collect data for a minimum dataset in urology by agreeing a dataset amongst a group of urologists, designing structured forms around the data items and implementing them in clinical practice. METHODS: Consultant urologists decided the initial dataset. Structured forms, which incorporated the dataset items, were designed. These forms were piloted before implementation in two urology departments. They were used to document clinical information instead of writing this in the traditional medical record. After use forms were 'scanned' before being filed in the medical record, thus storing the data in an electronic format. RESULTS: Nine forms were designed; inpatient and outpatient activity was captured separately. There were six outpatient forms; a generic new patient form and five specific follow-up forms (lower urinary tract symptoms, oncology, erectile dysfunction, female urology and stones). Three generic inpatient forms were designed. The forms were used by nine registrars, five senior house officers and six clinical nurse practitioners, who required minimal training. CONCLUSION: It is possible to agree a minimum dataset amongst a relatively small group of urologists. The information can be acquired prospectively using structured forms instead of the traditional medical record. This locally agreed dataset could form the basis for a national consensus on a minimum dataset in urology.