Clinical cognition and biomedical informatics: issues of patient safety

Graphical Presentations of Clinical Data in a Learning Electronic Medical Record

BACKGROUND

Complex electronic medical records (EMRs) presenting large amounts of data create risks of cognitive overload. We are designing a Learning EMR (LEMR) system that utilizes models of intensive care unit (ICU) physicians' data access patterns to identify and then highlight the most relevant data for each patient.

OBJECTIVES

We used insights from literature and feedback from potential users to inform the design of an EMR display capable of highlighting relevant information.

METHODS

We used a review of relevant literature to guide the design of preliminary paper prototypes of the LEMR user interface. We observed five ICU physicians using their current EMR systems in preparation for morning rounds. Participants were interviewed and asked to explain their interactions and challenges with the EMR systems. Findings informed the revision of our prototypes. Finally, we conducted a focus group with five ICU physicians to elicit feedback on our designs and to generate ideas for our final prototypes using participatory design methods.

RESULTS

Participating physicians expressed support for the LEMR system. Identified design requirements included the display of data essential for every patient together with diagnosis-specific data and new or significantly changed information. Respondents expressed preferences for fishbones to organize labs, mouseovers to access additional details, and unobtrusive alerts minimizing color-coding. To address the concern about possible physician overreliance on highlighting, participants suggested that non-highlighted data should remain accessible. Study findings led to revised prototypes, which will inform the development of a functional user interface.

CONCLUSION

In the feedback we received, physicians supported pursuing the concept of a LEMR system. By introducing novel ways to support physicians' cognitive abilities, such a system has the potential to enhance physician EMR use and lead to better patient outcomes. Future plans include laboratory studies of both the utility of the proposed designs on decision-making, and the possible impact of any automation bias.

The effect of a Computerised Decision Support System (CDSS) on compliance with the prehospital assessment process: results of an interrupted time-series study

Background

Errors in the decision-making process are probably the main threat to patient safety in the prehospital setting. The reason can be the change of focus in prehospital care from the traditional “scoop and run” practice to a more complex assessment and this new focus imposes real demands on clinical judgment. The use of Clinical Guidelines (CG) is a common strategy for cognitively supporting the prehospital providers. However, there are studies that suggest that the compliance with CG in some cases is low in the prehospital setting. One possible way to increase compliance with guidelines could be to introduce guidelines in a Computerized Decision Support System (CDSS). There is limited evidence relating to the effect of CDSS in a prehospital setting. The present study aimed to evaluate the effect of CDSS on compliance with the basic assessment process described in the prehospital CG and the effect of On Scene Time (OST).

Methods

In this time-series study, data from prehospital medical records were collected on a weekly basis during the study period. Medical records were rated with the guidance of a rating protocol and data on OST were collected. The difference between baseline and the intervention period was assessed by a segmented regression.

Results

In this study, 371 patients were included. Compliance with the assessment process described in the prehospital CG was stable during the baseline period. Following the introduction of the CDSS, compliance rose significantly. The post-intervention slope was stable. The CDSS had no significant effect on OST.

Conclusions

The use of CDSS in prehospital care has the ability to increase compliance with the assessment process of patients with a medical emergency. This study was unable to demonstrate any effects of OST.

Contribuições dos registros eletrônicos para a segurança do paciente em terapia intensiva: uma revisão integrativa

Revisão integrativa que analisou nas publicações as contribuições dos registros eletrônicos em saúde para a segurança do paciente em unidades de terapia intensiva. A pesquisa foi realizada nas bases de dados CINAHL, MEDLINE e SciELO, utilizando os descritores: registros eletrônicos de saúde, sistemas de informação, informática em enfermagem, informática médica, unidades de terapia intensiva, segurança do paciente e gerenciamento de segurança. Foram incluídos 64 artigos, sendo analisados em três categorias: "sistemas de informação e informática em saúde: o registro eletrônico para a continuidade do cuidado de Enfermagem", "sistemas de apoio à decisão: contribuições para a segurança do paciente" e "indicadores de qualidade do cuidado e de segurança do paciente partir dos registros eletrônicos". Os estudos apontaram como contribuições a continuidade do cuidado, a tomada de decisão baseada nos sistemas de apoio à decisão e a criação de indicadores de qualidade e segurança do paciente a partir dos registros eletrônicos.

Calibrating urgency: triage decision-making in a pediatric emergency department

Triage, the first step in the assessment of emergency department patients, occurs in a highly dynamic environment that functions under constraints of time, physical space, and patient needs that may exceed available resources. Through triage, patients are placed into one of a limited number of categories using a subset of diagnostic information. To facilitate this task and standardize the triage decision process, triage guidelines have been implemented. However, these protocols are interpreted differently by highly experienced (expert) nurses and less experienced (novice) nurses. This study investigates the process of triage; the factors that influence triage decision-making, and how the guidelines are used in the process. Using observations and semi-structured interviews of triage nurses, data was collected in the pediatric emergency department of a large Canadian teaching hospital. Results show that in emergency situations (1) triage decisions were often non-analytic and based on intuition, particularly with increasing expertise, and (2) guidelines were used differently by nurses during the triage process. These results suggest that explicit guideline information becomes internalized and implicitly used in emergency triage practice as nurses gain experience. Implications of these results for nursing education and training, and guideline development for emergency care are discussed.