Power of big data to improve patient care in gastroenterology

J Catlow, B Bray, E Morris, M Rutter - Frontline Gastroenterology, 2022 - fg.bmj.com
Big data is defined as being large, varied or frequently updated, and usually generated from
real-world interaction. With the unprecedented availability of big data, comes an obligation …

Innovation resistance and resource allocation strategy of medical information digitalization

WC Lu, IC Tsai, KC Wang, TA Tang, KC Li, YC Ke… - Sustainability, 2021 - mdpi.com
Healthcare industries are facing an enormous flow of medical records due to the
progression of information technology and the trend of digital transformation. Thus, medical …

[HTML][HTML] Health outcomes from home hospitalization: Multisource predictive modeling

M Calvo, R González, N Seijas, E Vela… - Journal of Medical …, 2020 - jmir.org
Background: Home hospitalization is widely accepted as a cost-effective alternative to
conventional hospitalization for selected patients. A recent analysis of the home …

CORE-BCD-mAI: a composite framework for representing, querying, and analyzing big clinical data by means of multidimensional AI tools

A Cuzzocrea, PG Bringas - International Conference on Hybrid Artificial …, 2022 - Springer
This paper introduces CORE-BCD-mAI, a CO mposite Framework for RE presenting,
Querying, and Analyzing B ig C linical D ata by means of m ultidimensional AI Tools. The …

Ética y bioética en la telemedicina en la atención primaria de salud

AO Cruz, JGS Oliveira - Revista Bioética, 2022 - SciELO Brasil
La telemedicina en la atención primaria de salud a través del Programa Nacional
Telessaúde Brasil Redes aparece como una herramienta tecnológica para apoyar a los …

The GDPR beyond privacy: Data-driven challenges for social scientists, legislators and policy-makers

M Vestoso - Future Internet, 2018 - mdpi.com
While securing personal data from privacy violations, the new General Data Protection
Regulation (GDPR) explicitly challenges policymakers to exploit evidence from social data …

[HTML][HTML] Serendipitous, Open Big Data Management and Analytics: The SeDaSOMA Framework

A Cuzzocrea, P Ciancarini - Modelling, 2024 - mdpi.com
This paper presents and delves into the architecture and intricacies of SeDaSOMA, a
sophisticated framework supporting Se rendipitous, Da ta-as-aS ervice-oriented, O pen big …

[PDF][PDF] Planning Future Health: Developing Big Data and System Modelling Pipelines for Health System Research.

N Popper, F Endel, R Mayer, M Bicher, B Glock - Simul. Notes Eur., 2017 - sne-journal.org
Using Modelling and Simulation for Planning and Evaluation of Health Systems needs the
combination of state of the art modelling and simulation tools, which can be used in a …

[PDF][PDF] Connecting the dots: putting big data to work for health systems

M Salcher - Eurohealth, 2017 - apps.who.int
Linking existing databases is seen as key to unlocking the potential of big data to
revolutionise health care. Shared electronic health records and provider benchmarking can …

The DERMACLEAR study: Verification results of a natural language processing system in dermatology

FJ Ortiz de Frutos, AM Giménez‐Arnau… - JEADV Clinical …, 2023 - Wiley Online Library
Background Accurately determining the epidemiology of dermatological diseases such as
hidradenitis suppurativa (HS), psoriasis (PsO), chronic urticaria (CU) and/or atopic dermatitis …