Human factors and computerisation in intensive care units: a review

User perception and experience of the introduction of a novel critical care patient viewer in the ICU setting

OBJECTIVE

Failure to rapidly identify high-value information due to inappropriate output may alter user acceptance and satisfaction. The information needs for different intensive care unit (ICU) providers are not the same. This can obstruct successful implementation of electronic medical record (EMR) systems. We evaluated the implementation experience and satisfaction of providers using a novel EMR interface-based on the information needs of ICU providers-in the context of an existing EMR system.

METHODS

This before-after study was performed in the ICU setting at two tertiary care hospitals from October 2013 through November 2014. Surveys were delivered to ICU providers before and after implementation of the novel EMR interface. Overall satisfaction and acceptance was reported for both interfaces.

RESULTS

A total of 246 before (existing EMR) and 115 after (existing EMR+novel EMR interface) surveys were analyzed. 14% of respondents were prescribers and 86% were non-prescribers. Non-prescribers were more satisfied with the existing EMR, whereas prescribers were more satisfied with the novel EMR interface. Both groups reported easier data gathering, routine tasks & rounding, and fostering of team work with the novel EMR interface. This interface was the primary tool for 18% of respondents after implementation and 73% of respondents intended to use it further. Non-prescribers reported an intention to use this novel interface as their primary tool for information gathering.

CONCLUSION

Compliance and acceptance of new system is not related to previous duration of work in ICU, but ameliorates with the length of EMR interface usage. Task-specific and role-specific considerations are necessary for design and successful implementation of a EMR interface. The difference in user workflows causes disparity of the way of EMR data usage.

Integrated information visualization to support decision making for use of antibiotics in intensive care: design and usability evaluation

Overuse of antibiotics is a critical problem in intensive care today. The situation is further complicated by the extremely data-intensive environment with clinical data presented in distributed, often stand-alone information systems. To access and interpret all data is a complex and time-consuming technical and cognitive challenge. We propose a holistic integrated visualization in the form of a patient overview to support physicians in decision making for use of antibiotics at intensive care units. Special emphasis is put on analysis of work processes to identify information needs, the development of a visualization tool based on an integrated data model, and usability testing of the tool in combination with an eye-tracking technology. The visualization tool was highly rated in terms of user performance and preferences, and the analysis of users' visual patterns showed that different types of data visualization may benefit specialist and resident intensive care physicians depending on the task to be performed. A highly interactive tool for integrated information visualization could potentially increase the understanding of a patient's infection status and ultimately enhance decision making for the use of antibiotics.

Data-to-text summarisation of patient records: using computer-generated summaries to access patient histories

OBJECTIVE

We assess the efficacy and utility of automatically generated textual summaries of patients' medical histories at the point of care.

METHOD

Twenty-one clinicians were presented with information about two cancer patients and asked to answer key questions. For each clinician, the information on one of the patients comprised their official hospital records, and for the other patient it comprised summaries that were computer-generated by a natural language generation system from data extracted from the official records. We measured the accuracy of the clinicians' responses to the questions, the time they took to complete them, and recorded their attitude to the computer-generated summaries.

RESULTS

Results showed no significant difference in the accuracy of responses to the computer-generated records over the official records, but a significant difference in the time taken to assess the patients' condition from the computer-generated records. Clinicians expressed a positive attitude towards the computer-generated records.

CONCLUSION

AI-based computer-generated textual summaries of patient histories can be as accurate as, and more efficient than, human-produced patient records for clinicians seeking to accurately identify key information about a patients overall history.

PRACTICE IMPLICATIONS

Computer-generated textual summaries of patient histories can contribute to the management of patients at the point-of-care.

A Comparison of Graphical and Textual Presentations of Time Series Data to Support Medical Decision Making in the Neonatal Intensive Care Unit

OBJECTIVE

To compare expert-generated textual summaries of physiological data with trend graphs, in terms of their ability to support neonatal Intensive Care Unit (ICU) staff in making decisions when presented with medical scenarios.

METHODS

Forty neonatal ICU staff were recruited for the experiment, eight from each of five groups--junior, intermediate and senior nurses, junior and senior doctors. The participants were presented with medical scenarios on a computer screen, and asked to choose from a list of 18 possible actions those they thought were appropriate. Half of the scenarios were presented as trend graphs, while the other half were presented as passages of text. The textual summaries had been generated by two human experts and were intended to describe the physiological state of the patient over a short period of time (around 40 minutes) but not to interpret it.

RESULTS

In terms of the content of responses there was a clear advantage for the Text condition, with participants tending to choose more of the appropriate actions when the information was presented as text rather than as graphs. In terms of the speed of response there was no difference between the Graphs and Text conditions. There was no significant difference between the staff groups in terms of speed or content of responses. In contrast to the objective measures of performance, the majority of participants reported a subjective preference for the Graphs condition.

CONCLUSIONS

In this experimental task, participants performed better when presented with a textual summary of the medical scenario than when it was presented as a set of trend graphs. If the necessary algorithms could be developed that would allow computers automatically to generate descriptive summaries of physiological data, this could potentially be a useful feature of decision support tools in the intensive care unit.

Computerisation and decision making in neonatal intensive care: a cognitive engineering investigation

This paper reports results from a cognitive engineering study that looked at the role of computerised monitoring in neonatal intensive care. A range of methodologies was used: interviews with neonatal staff, ward observations, and experimental techniques. The purpose was to investigate the sources of information used by clinicians when making decisions in the neonatal ICU. It was found that, although it was welcomed by staff, computerised monitoring played a secondary role in the clinicians' decision making (especially for junior and nursing staff) and that staff used the computer less often than indicated by self-reports. Factors that seemed to affect staff use of the computer were the lack (or shortage) of training on the system, the specific clinical conditions involved, and the availability of alternative sources of information. These findings have relevant repercussions for the design of computerised decision support in intensive care and suggest ways in which computerised monitoring can be enhanced, namely: by systematic staff training, by making available online certain types of clinical information, by adapting the user interface, and by developing intelligent algorithms.

Electronic medical record in the intensive care unit

The EMR in the ICU has the utility of providing the necessary information to make sound clinical decisions for critically ill patients. For it to be optimized, the EMR must be more than just what is being replicated in the written record or merely a documentation tool; it must add value that supports and enhances clinical decision support. The EMR is too expensive a tool just to be a computer designed to ease documentation and retrieve data faster. Gardner and Huff have suggested that the EMR must answer three questions: Why, What, and So What. The "Why" is relatively easy to answer, but the "What" data to use so that the information is meaningful to a provider and the "So What" are more difficult to answer. Provided one can qualitatively assess "What" information is important for a health care provider, then "So What" becomes an important objective in the empirical quantification of the benefits that the EMR provides. It is clear that to analyze some of the outcomes that health care delivery provides, one needs some mechanism to automate the information at the point of care, particularly now that the regulatory agencies are requiring it. Given the fact that there is no single integrated computerized patient record, this becomes the daunting task for the next century. Making it easier for health care providers to interact with the system and providing them with instantaneous feedback that changes their medical decision so they can deliver better care (clinical pathways, clinical practice guidelines) will be the task required of the next generation of CISs.

Design of a summary screen for an ICU patient data management system

The paper describes a used-centred design for the summary screen of a computerised ICU patient data management system (PDMS). The screen also forms the resting state display, or default screen, and provides the principal navigation tool to other functionality within the system. The design process identified the most frequent potential users of this screen to be the nurses. Their tasks and the information resources required to perform them were analysed. The analysis identified that the nurses' main task of planning and implementing patient care required an awareness of a set of physiological parameters which provided an overview of the patient's general condition. Novel formats are proposed for displaying the trends in physiological parameters and these have been incorporated into a proposed screen design. These display formats have been evaluated by ICU nurses; they were adjudged to be clear, relevant, easy to learn and simple to use. Nurses considered the content of the screen, and the display formats used, to be suitable for maintaining an awareness of a patient's state during routine patient management.

Building national electronic medical record systems via the World Wide Web

Electronic medical record systems (EMRSs) currently do not lend themselves easily to cross-institutional clinical care and research. Unique system designs coupled with a lack of standards have led to this difficulty. The authors have designed a preliminary EMRS architecture (W3-EMRS) that exploits the multiplatform, multiprotocol, client-server technology of the World Wide Web. The architecture abstracts the clinical information model and the visual presentation away from the underlying EMRS. As a result, computation upon data elements of the EMRS and their presentation are no longer tied to the underlying EMRS structures. The architecture is intended to enable implementation of programs that provide uniform access to multiple, heterogeneous legacy EMRSs. The authors have implemented an initial prototype of W3-EMRS that accesses the database of the Boston Children's Hospital Clinician's Workstation.

Safety and efficacy of a ventilator database interface

This report describes a ventilator dysfunction that arose during the mechanical ventilation of a lung transplant recipient. The problem was discovered because the data on the computer-based information management system (CIMS) was different from that on the ventilator's dials. This incident is important because of the continued extensive use of analog mechanical ventilators, the increasing popularity of CIMS, and the patient safety implications of the incident.