Information Technology

Evaluating the Efficiency and Safety of Speech Recognition within a Commercial Electronic Health Record System: A Replication Study.

OBJECTIVE: To conduct a replication study to validate previously identified significant risks and inefficiencies associated with the use of speech recognition (SR) for documentation within an electronic health record (EHR) system.

Extending the DIDEO ontology to include entities from the natural product drug interaction domain of discourse.

BACKGROUND: Prompted by the frequency of concomitant use of prescription drugs with natural products, and the lack of knowledge regarding the impact of pharmacokinetic-based natural product-drug interactions (PK-NPDIs), the United States National Center for Complementary and Integrative Health has established a center of excellence for PK-NPDI. The Center is creating a public database to help rese...

Deep generative learning for automated EHR diagnosis of traditional Chinese medicine.

BACKGROUND: Computer-aided medical decision-making (CAMDM) is the method to utilize massive EMR data as both empirical and evidence support for the de...

EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning.

OBJECTIVE: Electronic medical records (EMRs) contain medical knowledge that can be used for clinical decision support (CDS). Our objective is to devel...

Predicting Hospital Readmission via Cost-Sensitive Deep Learning.

With increased use of electronic medical records (EMRs), data mining on medical data has great potential to improve the quality of hospital treatment ...

Detection of Suicidality in Adolescents with Autism Spectrum Disorders: Developing a Natural Language Processing Approach for Use in Electronic Health Records.

Over 15% of young people with autism spectrum disorders (ASD) will contemplate or attempt suicide during adolescence. Yet, there is limited evidence c...

Mining Electronic Health Records to Extract Patient-Centered Outcomes Following Prostate Cancer Treatment.

The clinical, granular data in electronic health record (EHR) systems provide opportunities to improve patient care using informatics retrieval method...

A hybrid Neural Network Model for Joint Prediction of Presence and Period Assertions of Medical Events in Clinical Notes.

In this paper, we propose a novel neural network architecture for clinical text mining. We formulate this hybrid neural network model (HNN), composed ...

Evaluation of Semantic Web Technologies for Storing Computable Definitions of Electronic Health Records Phenotyping Algorithms.

Electronic Health Records are electronic data generated during or as a byproduct of routine patient care. Structured, semi-structured and unstructured...

Leveraging Collaborative Filtering to Accelerate Rare Disease Diagnosis.

In the USA, rare diseases are defined as those affecting fewer than 200,000 patients at any given time. Patients with rare diseases are frequently mis...

A Multi-Task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks.

Monitoring the future health status of patients from the historical Electronic Health Record (EHR) is a core research topic in predictive healthcare. ...

Predicting Inpatient Acute Kidney Injury over Different Time Horizons: How Early and Accurate?

Incidence of Acute Kidney Injury (AKI) has increased dramatically over the past two decades due to rising prevalence of comorbidities and broadening r...

The Dependence of Machine Learning on Electronic Medical Record Quality.

There is growing interest in applying machine learning methods to Electronic Medical Records (EMR). Across different institutions, however, EMR qualit...

A Semantic Parsing Method for Mapping Clinical Questions to Logical Forms.

This paper presents a method for converting natural language questions about structured data in the electronic health record (EHR) into logical forms....

ProFUSO: Business process and ontology-based framework to develop ubiquitous computing support systems for chronic patients' management.

New advances in telemedicine, ubiquitous computing, and artificial intelligence have supported the emergence of more advanced applications and support...

Causal risk factor discovery for severe acute kidney injury using electronic health records.

BACKGROUND: Acute kidney injury (AKI), characterized by abrupt deterioration of renal function, is a common clinical event among hospitalized patients...

Matching biomedical ontologies based on formal concept analysis.

BACKGROUND: The goal of ontology matching is to identify correspondences between entities from different yet overlapping ontologies so as to facilitat...

Mobile technology and telemedicine for shoulder range of motion: validation of a motion-based machine-learning software development kit.

BACKGROUND: Mobile technology offers the prospect of delivering high-value care with increased patient access and reduced costs. Advances in mobile he...

Ensemble of shape functions and support vector machines for the estimation of discrete arm muscle activation from external biceps 3D point clouds.

BACKGROUND: Muscle activation level is currently being captured using impractical and expensive devices which make their use in telemedicine settings ...

Using Technology in Global Otolaryngology.

Technology is integral to the diverse diagnostics and interventions of Otolaryngology. Historically, major advances in this field derive from advances...