A literature search to identify relevant studies is one of the first steps in performing a systematic review (SR) in support of evidence-based medicine. To maximize efficiency, the search must find practically all relevant studies and retrieve few that ...
Patients that are on many medications are often non-compliant due to the complexity of the medication regimen; consequently, a patient that is non-compliant can have poor medical outcomes. Providers are not always aware of the complexity of their patient’s ...
Patient-specific models are constructed to take advantage of the particular features of the patient case of interest compared to commonly used population-wide models that are constructed to perform well on average on all cases. We introduce two patient-specific ...
Recent surveys show that mobile apps are more popular than Web apps. Apple’s iTunes Store, now has about 800,000 apps and reported to have about 40 billion downloads. Android apps, although fewer, is available to the most number of smartphones ...
Risk communication is a major challenge in productive patient-physician communication. Patient decision making responsibilities come with an implicit assumption that patients are sufficiently educated and confident in their abilities to make decisions ...
Lack of adequate consumer health information about clinical research contributes to health disparities among low health literate minority multicultural populations and requires appropriate methods for making information accessible. Enhancing understanding ...
This paper describes a text mining program that computes the Barthel score of functional status by analyzing clinical notes stored in Electronic Health Record systems(EHR) and comparing them to textual evidence provided by clinical experts. The program ...
With antimicrobial resistance increasing worldwide, there is a great need to use automated antimicrobial decision support systems (ADSSs) to lower antimicrobial resistance rates by promoting appropriate antimicrobial use. However, they are infrequently ...
Given the lack of mechanisms for specifying, sharing and checking the compliance of consent permissions, we focus on building and testing novel approaches to address this gap. In our previous work, we introduced a “permission ontology” ...
For people with epilepsy, the potential value of health information exchange (HIE) is unknown.We reviewed two years of clinical encounters for 8055 people with epilepsy from seven Manhattan hospitals. We created network graphs illustrating crossover among ...
Information retrieval algorithms based on natural language processing (NLP) of the free text of medical records have been used to find documents of interest from databases. Homelessness is a high priority non-medical diagnosis that is noted in electronic ...
In this paper we propose a framework for detecting health patterns based on non-wearable sensor sequence similarity and natural language processing (NLP). In TigerPlace, an aging in place facility from Columbia, MO, we deployed 47 sensor networks together ...
Scrubbing identifying information from narrative clinical documents is a critical first step to preparing the data for secondary use purposes, such as translational research. Evidence suggests that the differential distribution of protected health information ...
The quest for a standardized terminology that can meet the varying needs of healthcare practice, and requirements for secondary use, is ongoing. The number of potential users and the number of potential uses for standardized terminologies make collaborative ...
BioPortal contains over 300 ontologies, for which quality assurance (QA) is critical. Abstraction networks (ANs), compact summarizations of ontology structure and content, have been used in such QA efforts, typically in a “one-off” manner ...
We propose a mixture model for text data designed to capture underlying structure in the history of present illness section of electronic medical records data. Additionally, we propose a method to induce bias that leads to more homogeneous sets of diagnoses ...
Medical terminologies and ontologies are important tools for natural language processing of health record narratives. To account for the variability of language use, synonyms need to be stored in a semantic resource as textual instantiations of a concept. ...
Observational patient data provides an unprecedented opportunity to gleam new insights into diseases and assess patient quality of care, but a challenge lies in matching our ability to collect data with a comparable ability to understand and apply this ...
An increasing number of people visit online health communities to share experiences and seek health information. Although studies have enumerated reasons for patients’ visits to online communities for health information from peers, we know little ...
Infobuttons have been established to be an effective resource for addressing information needs at the point of care, as evidenced by recent research and their inclusion in government-based electronic health record incentive programs in the United States. ...
Integrated data repositories (IDRs) are indispensable tools for numerous biomedical research studies. We compare three large IDRs (Informatics for Integrating Biology and the Bedside (i2b2), HMO Research Network’s Virtual Data Warehouse (VDW) ...
A wide variety of disease outbreak detection methods has been developed in automated public health surveillance systems. The choice of outbreak detection method results in large changes in performance under different circumstances. In this paper, we investigate ...
Understanding variation among users’ information needs and the quality of information in an electronic system is important for informaticians to ensure data are fit-for-use in answering important questions in clinical and public health. To measure ...
In this paper, we investigate the use of web data resources in medicine, especially through medical classifications made available using the principles of Linked Data, to support the interpretation of patterns mined from patient care trajectories. Interpreting ...
Epilepsy is the most common serious neurological disorder affecting 50–60 million persons worldwide. Multi-modal electrophysiological data, such as electroencephalography (EEG) and electrocardiography (EKG), are central to effective patient care ...