AIMC Topic: Hospital Information Systems
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Applying Robotic Process Automation to Monitor Business Processes in Hospital Information Systems: Mixed Method Approach.
JMIR medical informatics
Mar 7, 2025
BACKGROUND: Electronic medical records (EMRs) have undergone significant changes due to advancements in technology, including artificial intelligence, the Internet of Things, and cloud services. The increasing complexity within health care systems ne...
Construction of Hospital Human Resource Information Management System under the Background of Artificial Intelligence.
Computational and mathematical methods in medicine
Aug 4, 2022
Under the background of artificial intelligence (AI), a human resource information management system was designed to facilitate hospital human resource management and improve hospital management efficiency. Based on AI, SOA was constructed and Java2 ...
Clinical Information Systems and Artificial Intelligence: Recent Research Trends.
Yearbook of medical informatics
Aug 16, 2019
OBJECTIVES: This survey aims at reviewing the literature related to Clinical Information Systems (CIS), Hospital Information Systems (HIS), Electronic Health Record (EHR) systems, and how collected data can be analyzed by Artificial Intelligence (AI)...
Using neural attention networks to detect adverse medical events from electronic health records.
Journal of biomedical informatics
Oct 15, 2018
The detection of Adverse Medical Events (AMEs) plays an important role in disease management in ensuring efficient treatment delivery and quality improvement of health services. Recently, with the rapid development of hospital information systems, a ...
Automated identification of wound information in clinical notes of patients with heart diseases: Developing and validating a natural language processing application.
International journal of nursing studies
Sep 19, 2016
BACKGROUND: Electronic health records are being increasingly used by nurses with up to 80% of the health data recorded as free text. However, only a few studies have developed nursing-relevant tools that help busy clinicians to identify information t...
Executable medical guidelines with Arden Syntax-Applications in dermatology and obstetrics.
Artificial intelligence in medicine
Aug 12, 2016
INTRODUCTION: Clinical decision support systems (CDSSs) are being developed to assist physicians in processing extensive data and new knowledge based on recent scientific advances. Structured medical knowledge in the form of clinical alerts or remind...
Automated identification and predictive tools to help identify high-risk heart failure patients: pilot evaluation.
Journal of the American Medical Informatics Association : JAMIA
Feb 17, 2016
OBJECTIVE: Develop and evaluate an automated identification and predictive risk report for hospitalized heart failure (HF) patients.
Clinical decision support systems at the Vienna General Hospital using Arden Syntax: Design, implementation, and integration.
Artificial intelligence in medicine
Dec 1, 2015
INTRODUCTION: The Allgemeines Krankenhaus Informations Management (AKIM) project was started at the Vienna General Hospital (VGH) several years ago. This led to the introduction of a new hospital information system (HIS), and the installation of the ...
Using Arden Syntax for the creation of a multi-patient surveillance dashboard.
Artificial intelligence in medicine
Oct 9, 2015
OBJECTIVE: Most practically deployed Arden-Syntax-based clinical decision support (CDS) modules process data from individual patients. The specification of Arden Syntax, however, would in principle also support multi-patient CDS. The patient data man...
Real alerts and artifact classification in archived multi-signal vital sign monitoring data: implications for mining big data.
Journal of clinical monitoring and computing
Oct 5, 2015
Huge hospital information system databases can be mined for knowledge discovery and decision support, but artifact in stored non-invasive vital sign (VS) high-frequency data streams limits its use. We used machine-learning (ML) algorithms trained on ...
Risk
Vital Signs
Hospital Information Systems
Oscillometry
Data Mining
Heart Rate
Artifacts
Male
Clinical Alarms
Middle Aged
Female
Decision Support Systems, Clinical
Humans
Aged
Machine Learning
Area Under Curve
Adult
Algorithms
Data Interpretation, Statistical
Monitoring, Physiologic
Blood Pressure
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