Búsqueda

Gradient AI Study : AI reduces legal involvement in workers' compensation lost-time claims by 15%, saving insurers millions

<?xml version="1.0" encoding="UTF-8"?><modsCollection xmlns="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-8.xsd">
<mods version="3.8">
<titleInfo>
<title>Gradient AI Study</title>
<subTitle>: AI reduces legal involvement in workers' compensation lost-time claims by 15%, saving insurers millions</subTitle>
</titleInfo>
<name type="corporate" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20230007747">
<namePart>Gradient AI</namePart>
<nameIdentifier>MAPA20230007747</nameIdentifier>
</name>
<typeOfResource>text</typeOfResource>
<genre authority="marcgt">government publication</genre>
<originInfo>
<place>
<placeTerm type="code" authority="marccountry">usa</placeTerm>
</place>
<issuance>monographic</issuance>
<place>
<placeTerm type="text">Boston</placeTerm>
</place>
<publisher>Gradient AI</publisher>
<dateIssued>2023</dateIssued>
</originInfo>
<language>
<languageTerm type="code" authority="iso639-2b">eng</languageTerm>
</language>
<physicalDescription>
<form authority="marcform">print</form>
<extent>3 p.</extent>
</physicalDescription>
<abstract displayLabel="Summary">Gradient AI, a leading enterprise software provider of artificial intelligence (AI) solutions in the insurance industry, today announced the results of a comprehensive research study showing that AI-enabled workers' compensation claims management reduced legal involvement for lost time claims by 15%. This reduction translates into a 5% savings in lost-time claim costs, equating to an estimated annual savings of $3.5 million based on the study's insurers managing an average of $70 million in lost-time claims</abstract>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080590567">
<topic>Empresas de seguros</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080611200">
<topic>Inteligencia artificial</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20100030585">
<topic>Aspectos legales</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080567118">
<topic>Reclamaciones</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080572396">
<topic>Indemnizaciones</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20090026322">
<topic>Reducción de costes</topic>
</subject>
<classification authority="">216.1</classification>
<location>
<url displayLabel="MÁS INFORMACIÓN" usage="primary display">
mailto:centrodocumentacion@fundacionmapfre.org?subject=Consulta%20de%20una%20publicaci%C3%B3n%20&body=Necesito%20m%C3%A1s%20informaci%C3%B3n%20sobre%20este%20documento%3A%20%0A%0A%5Banote%20aqu%C3%AD%20el%20titulo%20completo%20del%20documento%20del%20que%20desea%20informaci%C3%B3n%20y%20nos%20pondremos%20en%20contacto%20con%20usted%5D%20%0A%0AGracias%20%0A
</url>
</location>
<recordInfo>
<recordContentSource authority="marcorg">MAP</recordContentSource>
<recordCreationDate encoding="marc">230925</recordCreationDate>
<recordChangeDate encoding="iso8601">20231214123209.0</recordChangeDate>
<recordIdentifier source="MAP">MAP20230018866</recordIdentifier>
<languageOfCataloging>
<languageTerm type="code" authority="iso639-2b">spa</languageTerm>
</languageOfCataloging>
</recordInfo>
</mods>
</modsCollection>