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                           <cbc:StreetName>Hansastraße 27c</cbc:StreetName>
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                           <cbc:Telephone>+49 89 1205-0</cbc:Telephone>
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                           <cbc:Name languageID="DEU">Evidence Prime sp. z o.o.</cbc:Name>
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                           <cbc:StreetName>Toruńska</cbc:StreetName>
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      <cbc:Name languageID="DEU">Systematic Review Tool Package - PR566982-3890-I</cbc:Name>
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      <cbc:Description languageID="ENG">Systematic Review Tool Package</cbc:Description>
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         <cbc:Name languageID="DEU">Systematic Review Tool Package - PR566982-3890-I</cbc:Name>
         <cbc:Name languageID="ENG">Systematic Review Tool Package - PR566982-3890-I</cbc:Name>
         <cbc:Description languageID="DEU">Requirements for the tool 
a. Support for AI-enhanced systematic review updates and performing living reviews 
b. T&amp;A screening with NLP algorithms to decrease the amount of manual work by AI-driven record 
prioritization, automated sorting and automated obvious keyword exclusion/inclusion 
c. Support for advanced filters based on highlights/keywords in screening 
d. Full text screening with NLP algorithms to decrease the amount of manual work by AI-automated 
phrase highlighting in the PDF text, AI-driven suggestions on inclusion/exclusion and simultaneous 
presentation of annotated PDF text and inclusion/exclusion choices 
e. Data extraction with AI automation, allowing semi-automated NLP-driven extraction of the data 
required in ARIA project, supporting ARIA-related vocabulary list and ARIA-related extraction form 
f. AI-driven extraction model suggestions should support at least the following domains: Populations, 
Intervention/Exposure name, Dose value, Dose unit, Route of administration, and Outcome name. 
AI model should be able to extract data by marking the text with AI suggestions for the particular 
domain as well as adding the extracted concepts directly into the data extraction form. 
3.2 Requirements for the professional services 
a. At least 240 man-days of consultation activities in setting up projects, defining vocabularies, 
supervision of screening and data extraction activities within the team and on-demand problem 
resolving 
4. Guideline - related 
1. Providing access to a guideline development tool for the ARIA project team along with 
professional services related to its use in ARIA project 
2. Requirements for the tool:
a. Demonstrated compliance with the GRADE methodology 
b. Support for creation of summary of the results of systematic review in online-available tables 
c. Support for synchronized remote work on data 
d. Technical environment for online recommendation voting in an efficient and transparent 
manner 
e. Support for visually attractive and easy-to-follow formats of guideline dissemination 
3. Requirements for the professional services: 
a. At least 240 man-days of consultation activities in setting up projects, adaptation of data 
structures to ARIA requirements and workflow, supervision of SoF tables preparation activities 
within the team and on-demand problem resolving. 
b. At least 60 man-days of technical management of the remote and/or live panel voting 
process</cbc:Description>
         <cbc:Description languageID="ENG">Requirements for the tool 
a. Support for AI-enhanced systematic review updates and performing living reviews 
b. T&amp;A screening with NLP algorithms to decrease the amount of manual work by AI-driven record 
prioritization, automated sorting and automated obvious keyword exclusion/inclusion 
c. Support for advanced filters based on highlights/keywords in screening 
d. Full text screening with NLP algorithms to decrease the amount of manual work by AI-automated 
phrase highlighting in the PDF text, AI-driven suggestions on inclusion/exclusion and simultaneous 
presentation of annotated PDF text and inclusion/exclusion choices 
e. Data extraction with AI automation, allowing semi-automated NLP-driven extraction of the data 
required in ARIA project, supporting ARIA-related vocabulary list and ARIA-related extraction form 
f. AI-driven extraction model suggestions should support at least the following domains: Populations, 
Intervention/Exposure name, Dose value, Dose unit, Route of administration, and Outcome name. 
AI model should be able to extract data by marking the text with AI suggestions for the particular 
domain as well as adding the extracted concepts directly into the data extraction form. 
3.2 Requirements for the professional services 
a. At least 240 man-days of consultation activities in setting up projects, defining vocabularies, 
supervision of screening and data extraction activities within the team and on-demand problem 
resolving 
4. Guideline - related 
1. Providing access to a guideline development tool for the ARIA project team along with 
professional services related to its use in ARIA project 
2. Requirements for the tool:
a. Demonstrated compliance with the GRADE methodology 
b. Support for creation of summary of the results of systematic review in online-available tables 
c. Support for synchronized remote work on data 
d. Technical environment for online recommendation voting in an efficient and transparent 
manner 
e. Support for visually attractive and easy-to-follow formats of guideline dissemination 
3. Requirements for the professional services: 
a. At least 240 man-days of consultation activities in setting up projects, adaptation of data 
structures to ARIA requirements and workflow, supervision of SoF tables preparation activities 
within the team and on-demand problem resolving. 
b. At least 60 man-days of technical management of the remote and/or live panel voting 
process</cbc:Description>
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            <cbc:ItemClassificationCode listName="cpv">72316000</cbc:ItemClassificationCode>
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            <cac:Address>
               <cbc:CountrySubentityCode listName="nuts">DE712</cbc:CountrySubentityCode>
               <cac:Country>
                  <cbc:IdentificationCode listName="country">DEU</cbc:IdentificationCode>
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            </cac:Address>
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         <cac:PlannedPeriod>
            <cbc:StartDate>2024-02-26+01:00</cbc:StartDate>
            <cbc:EndDate>2025-02-28+01:00</cbc:EndDate>
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      <cbc:AwardDate>2000-01-01+01:00</cbc:AwardDate>
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