An　innovative　data　collection　and　data　mining　scheme　was　proposed　according　to　the　urge　demand　for　data　analysis　and　poor　application　in　data　mining.　Firstly,　obstetric　data　was　analyzed　by　using　Apriori　algorithm,　mainly　among　caesarean　delivery,　vital　signs　and　drugs.　Then　the　admission　time　of　pregnant　women　and　birth　time　of　newborns　were　analyzed.　Finally,　the　mobile　health　system　related　to　data　collection　and　transmission　efficiency　was　discussed　by　using　PDA　(portable　digital　assistant)　for　portable　data　acquisition.　And　the　distributed　multi-layer　system　model　and　SSH2　framework　were　described.　It　shows　that　this　system　can　provide　accurate　data　and　optimize　medical　process　via　clinical　application　in　a　Beijing　maternity　hospital.　The　analysis　results　are　proved　significant　and　valuable　for　medicine　preparation　and　dispensing　in　pharmacy,　operating　room　preparation,　and　staff　scheduling.　The　performance　of　the　scheme　is　proved　effectiveness　by　the　system　deployed　in　hospital,　which　provides　technical　reference　for　future　statistics　and　processing　of　medical　data.　©　2017,　Editorial　Department　of　Journal　of　Beijing　University　of　Technology.　All　right　reserved.