The Doctor in the data
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| Tag | 1 | 2 | Value |
|---|---|---|---|
| LDR | 00000cab a2200000 4500 | ||
| 001 | MAP20200015130 | ||
| 003 | MAP | ||
| 005 | 20220911211202.0 | ||
| 008 | 200504e20200401gbr|||p |0|||b|eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a34 | ||
| 100 | $0MAPA20200010142$aZabój, Maciej | ||
| 245 | 1 | 4 | $aThe Doctor in the data$cMaciej Zabój |
| 520 | $aThe 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. | ||
| 650 | 4 | $0MAPA20080570590$aSeguro de vida | |
| 650 | 4 | $0MAPA20080578848$aAnálisis de datos | |
| 650 | 4 | $0MAPA20150020208$aWearables | |
| 650 | 4 | $0MAPA20120007895$aDispositivos móviles | |
| 650 | 4 | $0MAPA20080568641$aDigitalización | |
| 650 | 4 | $0MAPA20160013733$aSalud Digital | |
| 773 | 0 | $wMAP20200013259$tThe Actuary : the magazine of the Institute & Faculty of Actuaries$dLondon : Redactive Publishing, 2019-$g01/04/2020 Número 3 - abril 2020 , p. 40 |