OBJECTIVES: To describe a model that matches electronic patient care records within a given case to one or more patients within that case. METHOD: his retrospective study included data from all metropolitan Ambulance Victoria electronic patient care records (n=445576) for the time period 1 January 2009-31 May 2010. Data were captured via VACIS (Ambulance Victoria, Melbourne, Vic., Australia), an in-field electronic data capture system linked to an integrated data warehouse database. The case patient algorithm included 'Jaro-Winkler', 'Soundex' and 'weight matching' conditions. RESULTS: he case patient matching algorithm has a sensitivity of 99.98%, a specificity of 99.91% and an overall accuracy of 99.98%. CONCLUSIONS: The case patient algorithm provides Ambulance Victoria with a sophisticated, efficient and highly accurate method of matching patient records within a given case. This method has applicability to other emergency services where unique identifiers are case based rather than patient based.
OBJECTIVES: To describe a model that matches electronic patient care records within a given case to one or more patients within that case. METHOD: his retrospective study included data from all metropolitan Ambulance Victoria electronic patient care records (n=445576) for the time period 1 January 2009-31 May 2010. Data were captured via VACIS (Ambulance Victoria, Melbourne, Vic., Australia), an in-field electronic data capture system linked to an integrated data warehouse database. The case patient algorithm included 'Jaro-Winkler', 'Soundex' and 'weight matching' conditions. RESULTS: he case patient matching algorithm has a sensitivity of 99.98%, a specificity of 99.91% and an overall accuracy of 99.98%. CONCLUSIONS: The case patient algorithm provides Ambulance Victoria with a sophisticated, efficient and highly accurate method of matching patient records within a given case. This method has applicability to other emergency services where unique identifiers are case based rather than patient based.
Authors: Christopher Morrison; William R Ponicki; Paul J Gruenewald; Douglas J Wiebe; Karen Smith Journal: Drug Alcohol Depend Date: 2016-03-02 Impact factor: 4.492
Authors: Amminadab L Eliakundu; Dominique A Cadilhac; Joosup Kim; Monique F Kilkenny; Kathleen L Bagot; Emily Andrew; Shelley Cox; Christopher F Bladin; Michael Stephenson; Lauren Pesavento; Lauren Sanders; Ben Clissold; Henry Ma; Karen Smith Journal: J Am Coll Emerg Physicians Open Date: 2022-07-01
Authors: Christopher Morrison; Karen Smith; Paul J Gruenewald; William R Ponicki; Juliet P Lee; Peter Cameron Journal: Addiction Date: 2015-10-09 Impact factor: 6.526
Authors: Dan I Lubman; Sharon Matthews; Cherie Heilbronn; Jessica J Killian; Rowan P Ogeil; Belinda Lloyd; Katrina Witt; Rose Crossin; Karen Smith; Emma Bosley; Rosemary Carney; Alex Wilson; Matthew Eastham; Toby Keene; Carol Shipp; Debbie Scott Journal: PLoS One Date: 2020-01-31 Impact factor: 3.240