NOVA SCOTIA HEALTH | EY
Enhanced use of analytics The rapid onboarding of so many new patients to the virtual platform , however , would not have been possible without analytics to help understand and predict use rates .
“ It ' s really important to understand when , how many , and what type of patient or person is going to need and use the service ,” explains Murphy . “ Only then can we develop a human resource strategy to meet the need efficiently and sustainably .”
Speeding up and adapting But despite the rapid uptake and progress experienced , the journey is far from over . Murphy and his team see lurking issues , including the overall speed of the reporting service .
“ The last few years , we ' ve gone from three months to four hours for reporting . So there has been remarkable improvement , but with that , comes remarkable expectations and four hours was suddenly not quick enough ,” he says .
“ We knew where our databases were , but we didn ' t have the technical capacity to shrink that run time . We also knew what we would be able to do with real-time data . We simply didn ' t have the ability in-house to get there quickly enough ; hiring new staff with the core competencies would take too long .”
Based on previous experience with EY Canada over the years , Nova Scotia Health knew they ’ d be able to sit down and sketch out a solution together . Murphy and his team worked alongside EY Canada ’ s
Nova Scotia Health & EY : AI analytics to improve healthcare
222 June 2022