Digital tools to support horizon scanning workflows: case studies of retrieving and prioritising information

Background: Horizon scanning projects systematically search a wide range of heterogeneous sources, including news data, funding calls, peer-reviewed literature, or clinical trial registrations, to detect signs of innovation. This culminates in a highly topic-dependent and unstandardised data mix, which [for full text, please go to the a.m. URL]

Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-06-06
DOI
https://doi.org/10.3205/24ffhsc06
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital tools to support horizon scanning workflows: case studies of retrieving and prioritising information

German Medical Science (German Research Foundation)
Cell Image Analysis Techniques
article

Digital tools to support horizon scanning workflows: case studies of retrieving and prioritising information

article en

Abstract

Background: Horizon scanning projects systematically search a wide range of heterogeneous sources, including news data, funding calls, peer-reviewed literature, or clinical trial registrations, to detect signs of innovation. This culminates in a highly topic-dependent and unstandardised data mix, which [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
Industry, innovation and infrastructure
Openalex Percentile: Top 60%
Cell Image Analysis Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.