With　the　booming　of　Internet　of　Things　(IoT),　smart　health　(s-health)　is　becoming　an　emerging　and　attractive　paradigm.　It　can　provide　an　accurate　prediction　of　various　diseases　and　improve　the　quality　of　healthcare.　Nevertheless,　data　security　and　user　privacy　concerns　still　remain　issues　to　be　addressed.　As　a　high　potential　and　prospective　solution　to　secure　IoT-oriented　s-health　applications,　ciphertext　policy　attribute-based　encryption　(CP-ABE)　schemes　raise　challenges,　such　as　heavy　overhead　and　attribute　privacy　of　the　end　users.　To　resolve　these　drawbacks,　an　optimized　vector　transformation　approach　is　first　proposed　to　efficiently　transform　the　access　policy　and　user　attribute　set　into　respective　vectors　of　shorter　length　while　other　approaches　result　in　redundant　and　longer　vectors.　Our　transformation　approach　can　greatly　relieve　the　costly　overheard　of　key　generation,　encryption,　and　decryption　phases.　Then,　based　on　the　transformation　approach　and　the　offline/online　computation　technology,　we　propose　a　lightweight　policy-hiding　CP-ABE　scheme　for　the　IoT-oriented　s-health　application.　With　our　proposed　scheme,　data　users　in　the　s-health　system　can　perform　lightweight　encryption　and　decryption　without　leaking　any　sensitive　privacy　about　the　attributes　of　the　user.　Finally,　the　formal　security　analysis,　the　theoretic　performance　evaluation　and　experiment　results　indicate　that　the　solution　is　secure　and　efficient.