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Information Technology

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Digital transformation in healthcare - architectures of present and future information technologies.

Clinical chemistry and laboratory medicine
Healthcare providers all over the world are faced with a single challenge: the need to improve patient outcomes while containing costs. Drivers include an increasing demand for chronic disease management for an aging population, technological advance...

[Artificial Intelligence in Smart Health: Investigation of Theory and Practice].

Hu li za zhi The journal of nursing
The World Health Organization defines Smart Healthcare as "Information and Communication Technology applications in the medical and health fields, including medical care, disease management, public health monitoring, education, and research." In addi...

Medication management needs information and communications technology-based approaches, including telehealth and artificial intelligence.

British journal of clinical pharmacology
Life expectancy is rising in most parts of the world as is the prevalence of chronic diseases. Suboptimal adherence to long-term medications is still rather the norm than the exception, although it is well known that suboptimal adherence compromises ...

A hybrid mathematical programming model for optimal project portfolio selection using fuzzy inference system and analytic hierarchy process.

Evaluation and program planning
The primary goal in project portfolio management is to select and manage the optimal set of projects that contribute the maximum in business value. However, selecting Information Technology (IT) projects is a difficult task due to the complexities an...

Enabling Data-Driven Clinical Quality Assurance: Predicting Adverse Event Reporting in Clinical Trials Using Machine Learning.

Drug safety
INTRODUCTION: Adverse event (AE) under-reporting has been a recurrent issue raised during health authorities Good Clinical Practices (GCP) inspections and audits. Moreover, safety under-reporting poses a risk to patient safety and data integrity. The...

Measuring the diffusion of innovations with paragraph vector topic models.

PloS one
Measuring the diffusion of innovations from textual data sources besides patent data has not been studied extensively. However, early and accurate indicators of innovation and the recognition of trends in innovation are mandatory to successfully prom...

Machine learning in the clinical microbiology laboratory: has the time come for routine practice?

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
BACKGROUND: Machine learning (ML) allows the analysis of complex and large data sets and has the potential to improve health care. The clinical microbiology laboratory, at the interface of clinical practice and diagnostics, is of special interest for...

Attitudes Toward Artificial Intelligence Among Radiologists, IT Specialists, and Industry.

Academic radiology
OBJECTIVES: We investigated the attitudes of radiologists, information technology (IT) specialists, and industry representatives on artificial intelligence (AI) and its future impact on radiological work.

The implications of emerging technology on military human performance research priorities.

Journal of science and medicine in sport
OBJECTIVES: To demonstrate the need for the military human performance research community to anticipate and evolve with the emergence of new and disruptive battlefield technologies that are changing the fundamental role of the human combatant.

Machine Learning in Rheumatic Diseases.

Clinical reviews in allergy & immunology
With advances in information technology, the demand for using data science to enhance healthcare and disease management is rapidly increasing. Among these technologies, machine learning (ML) has become ubiquitous and indispensable for solving complex...