Centro de Documentacion de Fundación MAPFRE

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<title>Doctor in the data</title>
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<abstract displayLabel="Summary">The traditional pricing model works to capture policyholder data during the quotation process. This means that the risk is assessed at that point in time, with a predefined discriminating factor (such as smokers vs non-smokers). This data may be updated following results from health assessments (such as blood tests) to assess whether, say, a non-smoking habit has changed. Preventive life insurance takes a diff erent approach. The information gathered via the traditional approach  self-reported risks and habits  could be extended using data obtained from a personalised monitoring device. Currently, these devices track basic health factors, such as sport activity, pulse, blood pressure, body temperature and oxygen saturation.</abstract>
<note type="statement of responsibility">Maciej Zabój</note>
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<topic>Seguro de vida</topic>
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<topic>Análisis de datos</topic>
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<topic>Wearables</topic>
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<topic>Dispositivos móviles</topic>
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<topic>Digitalización</topic>
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<topic>Salud Digital</topic>
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<title>The Actuary : the magazine of the Institute & Faculty of Actuaries</title>
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<publisher>London :  Redactive Publishing, 2019-</publisher>
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<identifier type="local">MAP20200013259</identifier>
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<text>01/04/2020 Número 3 - abril 2020 , p. 40</text>
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The Doctor in the data
