A qualitative evaluation of the crucial attributes of contextual information necessary in EHR design to support patient-centered medical home care.

Background: Effective implementation of a Primary Care Medical Home model of care (PCMH) requires integration of patients' contextual information (physical, mental, social and financial status) into an easily retrievable information source for the healthcare team and clinical decision-making. This project explored clinicians' perceptions about important attributes of contextual information for clinical decision-making, how contextual information is expressed in CPRS clinical documentation as well as how clinicians in a highly computerized environment manage information flow related to these areas.

Methods: A qualitative design using Cognitive Task Analyses and a modified Critical Incident Technique were used.

Comparing narrative versus numerical display of functional information: impact on sense-making.

Contextual information consists of functional, social, and financial information about patients. Physicians routinely have difficulty incorporating contextual information into clinical decision-making despite the emphasis on patient-centered care and functional status. One reason for this difficulty is that such information is not well-represented in the patient medical record.

Veterans Healthcare Administration providers' attitudes and perceptions regarding pragmatic trials embedded at the point of care.

Background The Veterans Healthcare Administration (VA) is implementing an adaptation of a pragmatic trial program, Point of Care Research (POC-R). The goal of POC-R is to embed research into clinical practice, contributing to a Learning Healthcare System. Provider acceptance and participation in POC-R is essential to its successful implementation.

Support for contextual control in primary care: a qualitative analysis.

Providing support for high-level cognitive performance is largely missing in many decision support designs. Most development in this area is structured to minimize attention, decrease the need for deeper processing and limit intense goal-directed cognitive processing. However, from a dual process perspective, both automatic and deliberative processes need to be supported.

The orderly and effective visit: impact of the electronic health record on modes of cognitive control.

The clinical Joint Cognitive System (JCS) includes the clinicians, electronic health record (EHR), and other infrastructure that maintain control in the system in the service of accomplishing clinical goals. The purpose of this study is to examine the relationship between levels of control using the COCOM model (scrambled, opportunistic, tactical, and strategic) and patterns of EHR use. Forty-five primary care visits were observed and audio-recorded.

The relationship between structural characteristics of 2010 challenge documents and ratings of document quality.

Quality of clinical narratives has direct impact on the perceived usefulness of these documents. With the advent of electronic documentation, the quality of clinical documents has been debated. Electronic documentation is supported by features to enhance efficiency, including copy/paste, templates, multi-level headings, and inserted objects.

A taxonomy for contextual information in electronic health records.

Contextual information is functional, social and financial information about patients and is central to many health-care decisions, including end-of-life care, living arrangements, and the aggressiveness of treatment. It is the language of patients when talking about their health and frequently the focus of nursing interventions. In this study, we report the results of a qualitative analysis of interviews of 17 clinicians focusing on their use of contextual information during the process of care, decision-making and documentation.

Qualitative analysis of workflow modifications used to generate the reference standard for the 2010 i2b2/VA challenge.

The Department of Veterans Affairs (VA) and the Informatics for Integrating Biology and the Bedside (i2b2) team partnered to generate the reference standard for the 2010 i2b2/VA challenge task on concept extraction, assertion classification, and relation classification. The purpose of this paper is to report an in-depth qualitative analysis of the experience and perceptions of human annotators for these tasks. Transcripts of semi-structured interviews were analyzed using qualitative methods to identify key constructs and themes related to these annotation tasks.