G574(P) Daytime iBleep implementation in General Paediatrics
ContextOur general paediatric team has a diverse workforce delivering patient care. Bleeps are essential for communication.ProblemThe current process has become inefficient for several reasons including large volume calls, bleeping incorrect persons and inappropriate bleeps. This has impacted signif...
Gespeichert in:
Veröffentlicht in: | Archives of disease in childhood 2016-04, Vol.101 (Suppl 1), p.A342-A342 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | ContextOur general paediatric team has a diverse workforce delivering patient care. Bleeps are essential for communication.ProblemThe current process has become inefficient for several reasons including large volume calls, bleeping incorrect persons and inappropriate bleeps. This has impacted significantly on doctors’ efficiency to respond to calls appropriately whilst continuing daily work routine.Assessment of problem and analysis of its causesA recent Task mapping exercise revealed a disproportionately high representation of RMO2’s time spent answering pager bleeps, compared to other team members.InterventionSophisticated iBleep technology is currently used ‘out of hours’ to filter calls through a central co-ordinator, distributing tasks according to skill set and caseload, enabling RMO2 to focus upon unwell patients, improving patient safety. It also reduces interruptions which adversely affects performance, error rates and increases cognitive burden.This project aimed to transfer the benefits of iBleep to daytime operational hours for a specific team.Study designFollowing stakeholder meetings, iBleep access and training was arranged. Daily data collection sheets were completed by the RMO2s, to record the number, timing, reason and location of pager bleeps received.Strategy for changeiBleep pilot was implemented in November 2015.Measurement of improvementData collection restarted after 3 weeks to identify impact upon pager bleep volume. Electronically captured iBleep data was also analysed.Effects of changesFrom 4–24th November, 35 iBleeps were generated; 31% to RMO2, 3% to the site practitioner and 66% to the rest of the team.Pre iBleep, the number of daily bleeps received by the RMO2 ranged from 1–31 (mean 11). However, following iBleep implementation these ranged 10–22 bleeps (mean 15). This coincides with significant increases in clinical workload, with a 30% increase in inpatient numbers.Lessons learntImplementation of the project has been challenging with respect to embedding a new system despite vigorous communication and education rollout. Initial resistance with staff engagement was encountered. Subsequent education has increased compliance.Early analysis of the data shows RMO2 feedback has been positive. There is more equitable distribution of workload between RMO2 bleeps and the rest of the team. Team members have feelings of reduced bleep fatigue and more clinical time available.Our data has shown similar number of conventional bleeps pre a |
---|---|
ISSN: | 0003-9888 1468-2044 |
DOI: | 10.1136/archdischild-2016-310863.560 |