Top trends in health insurance : 2020. What you need to know
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LDR | 00000cam a22000004b 4500 | ||
001 | MAP20180034879 | ||
003 | MAP | ||
005 | 20220911203229.0 | ||
008 | 181221s2019 usa|||| ||| ||spa d | ||
040 | $aMAP$beng$dMAP | ||
084 | $a344.1 | ||
100 | 1 | $0MAPA20170017172$aSwaraj, Saurav | |
245 | 1 | 0 | $a Top trends in health insurance$b: 2020. What you need to know$cSaurav Swaraj, Geet Agarwal, Dharmendra Vishwakarma |
260 | $aParis [etc.]$bCapgemini$ccop. 2019 | ||
300 | $a28 p. | ||
520 | $aTrend 01: Market forces create pressure on health insurance industry to realign -- Trend 02: Insurers ennance transparency to reinforce customers trust -- Trend 03 Insurers provide a holistic experience to customers by offering a wude range of value-added services -- Trend 04: Insurance chatbots offer an engaging and guided customer experience -- Trend 05: wearables and digital platforms drive changes in behavior and increase Rx adherence -- Trend 06: Insurers are leveraging predictive analytics for risk profilius and early intervention -- Trend 07: API's drive data interoperability within the healthcare industry -- Trend 08: Automation boosts claims processing efficiency and may enable real-times payments. | ||
650 | 4 | $0MAPA20080573867$aSeguro de salud | |
650 | 4 | $0MAPA20080598358$aProductos de seguros | |
650 | 4 | $0MAPA20080590567$aEmpresas de seguros | |
650 | 4 | $0MAPA20120009134$aAplicaciones móviles | |
650 | 4 | $0MAPA20080594602$aAnálisis de mercados | |
650 | 4 | $0MAPA20130017037$aAnálisis predictivos | |
650 | 4 | $0MAPA20160009583$aBlockchain | |
650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
650 | 4 | $0MAPA20080611880$aPerspectivas del seguro | |
650 | 4 | $0MAPA20080596606$aEvolución del seguro | |
700 | 1 | $0MAPA20200000266$aAggarwal, Geet | |
700 | 1 | $0MAPA20200000273$aVishwakarma, Dharmendra | |
710 | 2 | $0MAPA20080436452$aCapgemini | |
856 | $qdocumento electrónico$y1099670 |