Knowledge management implementation and the tools utilized in healthcare for evidence-based decision making: a systematic review

L Shahmoradi, R Safadari, W Jimma - Ethiopian journal of health sciences, 2017 - ajol.info
Background: Healthcare is a knowledge driven process and thus knowledge management
and the tools to manage knowledge in healthcare sector are gaining attention. The aim of …

Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research

À Bravo, J Piñero, N Queralt-Rosinach, M Rautschka… - BMC …, 2015 - Springer
Background Current biomedical research needs to leverage and exploit the large amount of
information reported in scientific publications. Automated text mining approaches, in …

Conceptualizations of Big Data and their epistemological claims in healthcare: A discourse analysis

M Stevens, R Wehrens, A De Bont - Big Data & Society, 2018 - journals.sagepub.com
In recent years, the healthcare field welcomed an emerging field of practices captured under
the umbrella term 'Big Data'. This term is surrounded with positive rhetoric and promises …

Big data and biomedical informatics: a challenging opportunity

R Bellazzi - Yearbook of medical informatics, 2014 - thieme-connect.com
Big data are receiving an increasing attention in biomedicine and healthcare. It is therefore
important to understand the reason why big data are assuming a crucial role for the …

Semantic health knowledge graph: semantic integration of heterogeneous medical knowledge and services

L Shi, S Li, X Yang, J Qi, G Pan… - BioMed research …, 2017 - Wiley Online Library
With the explosion of healthcare information, there has been a tremendous amount of
heterogeneous textual medical knowledge (TMK), which plays an essential role in …

[HTML][HTML] Digital transformation in healthcare 4.0: critical factors for business intelligence systems

F Kitsios, N Kapetaneas - Information, 2022 - mdpi.com
The health sector is one of the most knowledge-intensive and complicated globally. It has
been proven repeatedly that Business Intelligence (BI) systems in the healthcare industry …

Personalized respiratory medicine: exploring the horizon, addressing the issues. Summary of a BRN-AJRCCM workshop held in Barcelona on June 12, 2014

A Agustí, JM Antó, C Auffray, F Barbé… - American journal of …, 2015 - atsjournals.org
This Pulmonary Perspective summarizes the content and main conclusions of an
international workshop on personalized respiratory medicine coorganized by the Barcelona …

What's holding up the big data revolution in healthcare?

K Dhindsa, M Bhandari, RR Sonnadara - Bmj, 2018 - bmj.com
Big data refers to datasets that are too large or complex to analyse with traditional methods.
1 Instead we rely on machine learning—self updating algorithms that build predictive …

A knowledge‐driven approach to extract disease‐related biomarkers from the literature

A Bravo, M Cases, N Queralt-Rosinach… - BioMed research …, 2014 - Wiley Online Library
The biomedical literature represents a rich source of biomarker information. However, both
the size of literature databases and their lack of standardization hamper the automatic …

Software-tool support for collaborative, virtual, multi-site molecular tumor boards

MP Schapranow, F Borchert, N Bougatf, H Hund… - SN computer …, 2023 - Springer
The availability of high-throughput molecular diagnostics builds the foundation for Molecular
Tumor Boards (MTBs). Although more fine-grained data is expected to support decision …