Using Time Series Clustering to Segment and Infer Emergency Department Nursing Shifts from Electronic Health Record Log Files.

Few computational approaches exist for abstracting electronic health record (EHR) log files into clinically meaningful phenomena like clinician shifts. Because shifts are a fundamental unit of work recognized in clinical settings, shifts may serve as a primary unit of analysis in the study of documentation burden. We conducted a proof- of-concept study to investigate the feasibility of a novel approach using time series clustering to segment and infer clinician shifts from EHR log files.

Recommendations for achieving interoperable and shareable medical data in the USA.

Easy access to large quantities of accurate health data is required to understand medical and scientific information in real-time; evaluate public health measures before, during, and after times of crisis; and prevent medical errors. Introducing a system in the USA that allows for efficient access to such health data and ensures auditability of data facts, while avoiding data silos, will require fundamental changes in current practices. Here, we recommend the implementation of standardized data collection and transmission systems, universal identifiers for individual patients and end users, a reference standard infrastructure to support calibration and integration of laboratory results from equivalent tests, and modernized working practices.

A Practical Approach for Monitoring the Use of Copy-Paste in Clinical Notes.

The use of copy-paste in authoring clinical notes has been widely embraced by busy providers, but inappropriate copy-paste has been lambasted by critics for introducing risks related to patient safety and regulatory compliance. At an integrated academic health system with over 4,100 providers writing notes, we developed a pragmatic approach to assess the use of copy-paste. From January 1-December 31, 2020, approximately 2.

Nursing documentation of symptoms is associated with higher risk of emergency department visits and hospitalizations in homecare patients.

Background: Nurses often document patient symptoms in narrative notes.

Purpose: This study used a technique called natural language processing (NLP) to: (1) Automatically identify documentation of seven common symptoms (anxiety, cognitive disturbance, depressed mood, fatigue, sleep disturbance, pain, and well-being) in homecare narrative nursing notes, and (2) examine the association between symptoms and emergency department visits or hospital admissions from homecare.

Method: NLP was applied on a large subset of narrative notes (2.

An Interprofessional Approach to Clinical Workflow Evaluation Focused on the Electronic Health Record Using Time motion Study Methods.

Documentation burden has become an increasing concern as the prevalence of electronic health records (EHRs) has grown. The implementation of a new EHR is an opportunity to measure and improve documentation burden, as well as assess the role of the EHR in clinician workflow. Time-motion observation is the preferred method for evaluating workflow.

Does a Community-Engaged Health Informatics Platform Facilitate Resource Connectivity? An Evaluation Framework.

Community-engaged health informatics (CEHI) integrates informatics with community-based participatory public health. Addressing social determinants and population health requires mobilization of health-related resources in communities. We present a framework for evaluating the process and outcomes of a CEHI platform designed to improve connectivity among community health resources.

Trust, Perceived Risk, Perceived Ease of Use and Perceived Usefulness as Factors Related to mHealth Technology Use.

Mobile technology use is nearly ubiquitous which affords the opportunity for using these technologies for modifying health related behaviors. At the same time, use of mobile health (mHealth) technology raises privacy and security concerns of consumers. The goal of this analysis was to understand the perceived ease of use, usefulness, risk and trust that contribute to behavioral intention to use a mobile application for meeting the healthcare needs of persons living with HIV (PLWH).

Design of a Community-Engaged Health Informatics Platform with an Architecture of Participation.

Community-engaged health informatics (CEHI) applies information technology and participatory approaches to improve the health of communities. Our objective was to translate the concept of CEHI into a usable and replicable informatics platform that will facilitate community-engaged practice and research. The setting is a diverse urban neighborhood in New York City.

The clinician in the driver's seat: part 2 - intelligent uses of space in a drag/drop user-composable electronic health record.

User-composable approaches provide clinicians with the control to design and assemble information elements on screen via drag/drop. They hold considerable promise for enhancing the electronic-health-records (EHRs) user experience. We previously described this novel approach to EHR design and our illustrative system, MedWISE.

Enhancing electronic health records to support clinical research.

The "Learning Health System" has been described as an environment that drives research and innovation as a natural outgrowth of patient care. Electronic health records (EHRs) are necessary to enable the Learning Health System; however, a source of frustration is that current systems fail to adequately support research needs. We propose a model for enhancing EHRs to collect structured and standards-based clinical research data during clinical encounters that promotes efficiency and computational reuse of quality data for both care and research.

An application for monitoring order set usage in a commercial electronic health record.

Organizations that use electronic health records (EHRs) often maintain a considerable amount of clinical content in the form of order sets, documentation templates, and decision support rules. EHR vendors seldom provide analytic tools for customers to maintain such content and monitor its usage. We developed an application for tracking order sets, documentation templates and clinical alerts in a commercial electronic health record.

Important ingredients for health adaptive information systems.

Healthcare information systems frequently do not truly meet clinician needs, due to the complexity, variability, and rapid change in medical contexts. Recently the internet world has been transformed by approaches commonly termed 'Web 2.0'.

Cognitive Analysis of a Highly Configurable Web 2.0 EHR Interface.

We summarize findings of one case from initial in-lab usability and cognitive tests of 13 clinicians using MedWISE, a widget-based electronic health record (EHR) interface, to familiarize themselves with real patient cases and verbalize their assessment and plan. Multiple methods were used to examine patterns of use, time taken, use of new functionality, user-created interfaces, and diagnostic and human-computer interaction processes. All clinicians learned MedWISE quickly, most used more than half the new functionalities and found MedWISE easy to use and useful.

Using a pipeline to improve de-identification performance.

Effective de-identification methods are needed to support reuse of electronic health record data for research and other purposes. We investigated using two different text-processing systems in tandem as a strategy for de-identification of clinical notes. We ran 100 outpatient notes through deid.

Repurposing the clinical record: can an existing natural language processing system de-identify clinical notes?

Electronic clinical documentation can be useful for activities such as public health surveillance, quality improvement, and research, but existing methods of de-identification may not provide sufficient protection of patient data. The general-purpose natural language processor MedLEE retains medical concepts while excluding the remaining text so, in addition to processing text into structured data, it may be able provide a secondary benefit of de-identification. Without modifying the system, the authors tested the ability of MedLEE to remove protected health information (PHI) by comparing 100 outpatient clinical notes with the corresponding XML-tagged output.

Findings from an organizational network analysis to support local public health management.

We assessed the feasibility of using organizational network analysis in a local public health organization. The research setting was an urban/suburban county health department with 156 employees. The goal of the research was to study communication and information flow in the department and to assess the technique for public health management.