Owing　to　the　developments　of　wireless　communication　technologies,　mobile　health　(M-Health)　has　been　postulated　as　a　promising　means　to　improve　healthcare　quality　and　save　lives　in　emergencies.　However,　using　wireless　communications　in　M-Health　faces　the　following　challenges.　First,　the　wireless　transmission　may　generate　electromagnetic　interference　(EMI)　and　trigger　critical　malfunctions　to　the　medical　devices.　Second,　different　types　of　M-Health　applications　and　time-varying　patient　conditions　require　dynamic　quality　of　service　(QoS).　Third,　energy　efficiency　(EE)　should　be　optimized　to　guarantee　the　reliability　of　M-Health　services,　considering　the　limitations　of　the　existing　battery　technologies.　To　address　these　challenges,　this　paper　investigates　the　joint　channel　and　power　resource　allocation　problem　for　vehicular　M-Health　communications.　The　problem　is　formulated　as　a　mixed-integer　nonlinear　program　(MINLP)　to　maximize　the　system　EE　with　the　consideration　of　EMI　constraints　on　medical　equipment　and　dynamic　QoS　requirements　of　medical　users.　To　find　possible　solutions,　we　reformulate　the　MINLP　problem　by　relaxing　the　integer　variables　and　transforming　the　objective　to　convex　forms.　Based　on　the　dual-decomposition　method,　we　first　obtain　the　optimal　power　allocation　and　then　recover　the　channel　allocation　variables　to　integers.　To　satisfy　the　QoS　requirements,　we　develop　two　channel　allocation　strategies,　i.e.,　the　QoS　fulfillment　strategy　and　the　QoS　compensation　strategy.　The　swap-blocking　allocation　concept　is　introduced　to　guarantee　the　optimality　of　the　obtained　solutions.　Simulation　results　show　that　the　proposed　resource　allocation　scheme　improves　the　system　EE　and　service　satisfaction　degree.