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RealTime Health User Group Meeting 27 th June 2012.

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Presentation on theme: "RealTime Health User Group Meeting 27 th June 2012."— Presentation transcript:

1 RealTime Health User Group Meeting 27 th June 2012

2 Welcome to all our users!!

3 Agenda

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6 FRIMLEY PARK HOSPITAL NHS FOUNDATION TRUST RealTime deployment

7 PROJECT TIMESCALES Current activity: integration testing & Phase 1 processes & configuration August 2012: rollout to pilot ward Sept-Dec 2012: live rollout to all wards Phase 2 to follow

8 PHASE 1: Ward View EDD & next day predictor Board round Ward discharge planning Accurate up to date PAS info Nursing / clinical handovers (ward level) Replacement of Jonah Discharge Risk Assessment Social services referral & tracking

9 PHASE 2: Additional documentation / forms Nursing / clinical handovers (hospital wide) Hospital view (full capacity & bed management) Improved patient flow VTE assessments Patient centre referrals

10 COFFEE BREAK

11 SECURING DOCTOR ENGAGEMENT AND DELIVERING BENEFITS TO CLINICAL

12 KPIs & MANAGEMENT REPORTING

13 Management reporting requirements: Executive teams reports Reporting against CQUIN etc targets Operations management reports Solutions: RealTime KPI reports Integration with MIS Historical data mining

14 Integration with Qlikview based MIS system RealTime have supported NMUH in integrating the RT system with their Qlikview based MIS Data providing a daily view of LOS data etc provided to the Qlikview system Qlikview used to analyse data and present in format consistent with Trust’s overall MIS dashboard

15 Example NMUH MIS report

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18 Additional requirements and plans: Interface to provide RT bed state data to MIS Refinement of Qlikview views Options for data mining historical RT data For discussion: MIS in other Trusts? Use of Qlikview? CQUIN reporting: RT KPI or Qlikview / other? Requirements for data mining?

19 FUNKY FEATURES AND REALTIME ROADMAP

20 REALTIME SUPPORT AND NEW FEATURE REQUEST PROCESSES

21 Support Process Flow © 2010, RealTime Health Ltd

22 Managing our Roadmap

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24 LUNCH – enjoy!

25 DATA DRIVEN EDD SETTING AND THE USE OF R EAL T IME EDD SETTING TO DRIVE LOS REDUCTIONS Dr. Gulam Patel Dr. Jess Boyer

26 Conclusions for EDD Setting Obtain Trust LOS data by top diagnoses – Mean and Median (mode can be helpful, too) – Preferably 12 months data – Medical and Surgical – 20 to 50 for starters Analyse compared to NHS norms – Mean and median (mode not available in standard data sets) Establish EDD targets based on the above – Work with clinical leadership – Must be clinically reasonable – Should not have ‘fudge factor’ for non-clinical issues – Need to be significant improvement Most significant opportunities for improvement are in the older/elderly patients

27 Comparing Trust XXXX LOS data to Norms EDD TARGETS MEDICAL For XXXX

28 Comparing Trust XXXX LOS data to Norms EDD TARGETS SURGICAL EMERGENCY for XXXX

29 How To Use RealTime to Drive ALOS Reductions All patients need EDDs within 24 hours of admission Many can be set automatically based on the data and doctor support Daily board rounds will focus actions targeting EDD timing Changes in EDD after initial EDD is set are tracked and the information is then used to target specific improvement actions internal or external to the Trust

30 REALTIME ED DEMONSTRATION

31 REALTIME TIPS & TRICKS - THE WINNERS!!!! “Include RealTime in staff appraisals process” Claire Tolliday, CUH NHS Foundation Trust “eLearning sessions before full training” Gina Williamson, NCUH NHS Trust “Always remember to F11” David Young, NCUH NHS Trust * All tips and trick in their entirety you can read in Tips&Tricks Competition responses file

32 THANK YOU & SAFE JOURNEY HOME!!


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