Insurance fraud report 2020

<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
  <record>
    <leader>00000cam a22000004b 4500</leader>
    <controlfield tag="001">MAP20200036111</controlfield>
    <controlfield tag="003">MAP</controlfield>
    <controlfield tag="005">20220823212538.0</controlfield>
    <controlfield tag="008">190222s2020    nld||||       ||| ||eng d</controlfield>
    <datafield tag="040" ind1=" " ind2=" ">
      <subfield code="a">MAP</subfield>
      <subfield code="b">spa</subfield>
      <subfield code="d">MAP</subfield>
    </datafield>
    <datafield tag="084" ind1=" " ind2=" ">
      <subfield code="a">214</subfield>
    </datafield>
    <datafield tag="245" ind1="1" ind2="0">
      <subfield code="a">Insurance fraud report 2020</subfield>
    </datafield>
    <datafield tag="260" ind1=" " ind2=" ">
      <subfield code="a">Utrecht</subfield>
      <subfield code="b">FRISS</subfield>
      <subfield code="c">2020</subfield>
    </datafield>
    <datafield tag="300" ind1=" " ind2=" ">
      <subfield code="a">15 p.</subfield>
    </datafield>
    <datafield tag="520" ind1=" " ind2=" ">
      <subfield code="a">Rapid and sweeping change in how insurers do business  and fight fraud were well underway before COVID-19 erupted across the world. The pandemic has accelerated an already dizzying pace. AI and digitizing the insurance chain brings remarkable new potential to benefit insurance consumers. Yet fraudsters inevitably work to exploit such emerging new system gaps. </subfield>
    </datafield>
    <datafield tag="520" ind1=" " ind2=" ">
      <subfield code="a">Introduction -- The impacts of COVID-19 -- Fraud detection during COVID-19 -- Challenges -- Benefits -- Underwriting Renaissance -- Fraud-fighting culture -- Data, data, data -- Using social media to combat fraud -- Conclusion</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080591052</subfield>
      <subfield code="a">Fraude en el seguro</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080624019</subfield>
      <subfield code="a">Comportamiento del consumidor</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20190001342</subfield>
      <subfield code="a">Administración de la empresa de seguros</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080607036</subfield>
      <subfield code="a">Lucha contra el fraude</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080603038</subfield>
      <subfield code="a">Prevención de riesgos</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080586294</subfield>
      <subfield code="a">Mercado de seguros</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2=" ">
      <subfield code="0">MAPA20080541064</subfield>
      <subfield code="a">Fraude</subfield>
    </datafield>
    <datafield tag="710" ind1="2" ind2=" ">
      <subfield code="0">MAPA20190002233</subfield>
      <subfield code="a">Fraud Detection and Risk Assessment Solutions for P&C Insurers</subfield>
    </datafield>
  </record>
</collection>