INTRODUCTION: The aim of this study was to inform health policy by demonstrating the benefits of an electronic referral (e-referral) system to study inpatient referrals to urology departments. METHODS: London North West Healthcare NHS Trust has over 800 beds and several secondary and tertiary care services. In January 2014, we designed an e-referral form to requisition urology input for in-patients using the Integrated Clinical Environment™ (ICE) platform. We retrospectively reviewed e-referral records from February to December 2014 for patient demography, the referring service and disease groups triggering a referral. RESULTS: There were 1192 referrals. There was a median of 107 e-referrals per month (IQR 97-123, range 91-132) and 4 per day (IQR 2-6, range 0-12). Weekend e-referrals were 127 (median 1, IQR 0-2, range 0-5) with 1065 e-referrals on weekdays (median 4, IQR 3-6, range 0-12). A total of 848 (71.1 %) patients were male, and 344 (28.9 %) were female. Patients' mean age was 63 (SD 21) years. Almost half (550, 46 %) were acute referrals. Amongst the acute referrals, the majority (466, 84.7 %) arose from A&E. From the non-acute conditions, 381 (59.3 %) patients were from the medical specialities and 246 (38.3 %) from surgical disciplines. The three largest disease categories were urolithiasis (287, 24.1 %), haematuria (185, 15.5 %) and for ex-catheterisation (102, 8.6 %). A qualitative review showed the strengths and weaknesses of the system, enabling improvements in operational efficiency. CONCLUSION: An e-referral system monitors activity accurately. Systemic improvement in referral pathways would lead to better patient care and enable services to factor in the unseen component of workload and prompt realistic staffing.
INTRODUCTION: The aim of this study was to inform health policy by demonstrating the benefits of an electronic referral (e-referral) system to study inpatient referrals to urology departments. METHODS: London North West Healthcare NHS Trust has over 800 beds and several secondary and tertiary care services. In January 2014, we designed an e-referral form to requisition urology input for in-patients using the Integrated Clinical Environment™ (ICE) platform. We retrospectively reviewed e-referral records from February to December 2014 for patient demography, the referring service and disease groups triggering a referral. RESULTS: There were 1192 referrals. There was a median of 107 e-referrals per month (IQR 97-123, range 91-132) and 4 per day (IQR 2-6, range 0-12). Weekend e-referrals were 127 (median 1, IQR 0-2, range 0-5) with 1065 e-referrals on weekdays (median 4, IQR 3-6, range 0-12). A total of 848 (71.1 %) patients were male, and 344 (28.9 %) were female. Patients' mean age was 63 (SD 21) years. Almost half (550, 46 %) were acute referrals. Amongst the acute referrals, the majority (466, 84.7 %) arose from A&E. From the non-acute conditions, 381 (59.3 %) patients were from the medical specialities and 246 (38.3 %) from surgical disciplines. The three largest disease categories were urolithiasis (287, 24.1 %), haematuria (185, 15.5 %) and for ex-catheterisation (102, 8.6 %). A qualitative review showed the strengths and weaknesses of the system, enabling improvements in operational efficiency. CONCLUSION: An e-referral system monitors activity accurately. Systemic improvement in referral pathways would lead to better patient care and enable services to factor in the unseen component of workload and prompt realistic staffing.
Authors: J F Sullivan; J C Forde; T A Creagh; M G Donovan; M P Eng; D P Hickey; P Mohan; R E Power; G P Smyth; D M Little Journal: Surgeon Date: 2013-07-19 Impact factor: 2.392