Emergency healthcare is one of the emerging application domains for information services, which requires highly multimodal information services. The time of consuming pre-hospital emergency process is critical. Therefore, the minimization of required time for providing primary care and consultation to patients is one of the crucial factors when trying to improve the healthcare delivery in emergency situations. In this sense, dynamic location of medical entities is a complex process that needs time and it can be critical when a person requires medical attention. This work presents a multimodal location-based system for locating and assigning medical entities called ITOHealth. ITOHealth provides a multimodal middleware-oriented integrated architecture using a service-oriented architecture in order to provide information of medical entities in mobile devices and web browsers with enriched interfaces providing multimodality support. ITOHealth's multimodality is based on the use of Microsoft Agent Characters, the integration of natural language voice to the characters, and multi-language and multi-characters support providing an advantage for users with visual impairments.

Download full-text PDF

Source
http://dx.doi.org/10.3109/17538157.2011.613552DOI Listing

Publication Analysis

Top Keywords

medical entities
16
itohealth multimodal
8
multimodal middleware-oriented
8
middleware-oriented integrated
8
integrated architecture
8
medical
5
architecture discovering
4
discovering medical
4
entities
4
entities emergency
4

Similar Publications

AI-driven multi-omics integration for multi-scale predictive modeling of genotype-environment-phenotype relationships.

Comput Struct Biotechnol J

January 2025

Ph.D. Program in Computer Science, The Graduate Center, The City University of New York, New York, NY, USA.

Despite the wealth of single-cell multi-omics data, it remains challenging to predict the consequences of novel genetic and chemical perturbations in the human body. It requires knowledge of molecular interactions at all biological levels, encompassing disease models and humans. Current machine learning methods primarily establish statistical correlations between genotypes and phenotypes but struggle to identify physiologically significant causal factors, limiting their predictive power.

View Article and Find Full Text PDF

Recruitment and retention in cancer trials are long-standing issues, exacerbated by the COVID-19 pandemic. The UK National Institute of Health Research and leading clinicians have emphasised the urgency to achieve and surpass prepandemic levels of participation. Data from a recent UK trial demonstrated the impact of COVID-19 and highlighted factors that limited recruitment.

View Article and Find Full Text PDF

Relapse of secondary syphilis in a PLHIV - A new entity.

Indian J Sex Transm Dis AIDS

December 2024

Department of Dermatology, Venereology and Leprosy, Sree Mookambika Medical College, Kanniyakumari, Tamil Nadu, India.

Syphilis and other bacterial sexually transmitted infections (STIs) are on the verge of resurge throughout the world. Coinfection of syphilis and HIV is quite common as they both share a common mode of transmission. The behavior of syphilis is quite altered in the presence of HIV.

View Article and Find Full Text PDF

Donovanosis: Case series of a rare entity in the background of declining incidence worldwide.

Indian J Sex Transm Dis AIDS

December 2024

Department of Dermatology, Venereology and Leprology, Velammal Medical College Hospital and Research Institute, Madurai, Tamil Nadu, India.

Donovanosis is a rare bacterial sexually transmitted disease caused by Klebsiella granulomatis and has an indolent course. Clinically it manifests as an ulcer with exuberant granulation tissue most commonly in the genital and rarely in extragenital sites. Nowadays, case reports of Donovanosis are infrequent and are considered an ignored sexually transmitted infection in the current antibiotic era.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!