- Original Research
- Open Access
Improving performance in the ED through laboratory information exchange systems
© The Author(s). 2018
- Received: 14 December 2017
- Accepted: 6 March 2018
- Published: 12 March 2018
The accessibility of laboratory test results is crucial to the performance of emergency departments and to the safety of patients. This study aims to develop a better understanding of which laboratory information exchange (LIE) systems emergency care physicians (ECPs) are using to consult their patients’ laboratory test results and which benefits they derive from such use.
A survey of 163 (36%) ECPs in Quebec was conducted in collaboration with the Quebec’s Department of Health and Social Services. Descriptive statistics, chi-square tests, cluster analyses, and ANOVAs were conducted.
The great majority of respondents indicated that they use several LIE systems including interoperable electronic health record (iEHR) systems, laboratory results viewers (LRVs), and emergency department information systems (EDIS) to consult their patients’ laboratory results. Three distinct profiles of LIE users were observed. The extent of LIE usage was found to be primarily determined by the functional design differences between LIE systems available in the EDs. Our findings also indicate that the more widespread LIE usage, the higher the perceived benefits. More specifically, physicians who make extensive use of iEHR systems and LRVs obtain the widest range of benefits in terms of efficiency, quality, and safety of emergency care.
Extensive use of LIE systems allows ECPs to better determine and monitor the health status of their patients, verify their diagnostic assumptions, and apply evidence-based practices in laboratory medicine. But for such benefits to be possible, ECPs must be provided with LIE systems that produce accurate, up-to-date, complete, and easy-to-interpret information.
- Laboratory information exchange
- Electronic health record system
- Emergency medicine
- Information technology
The accessibility, turnaround time, reliability, and predictive ability of laboratory test results are crucial to the performance of emergency departments (EDs) in hospitals [1–4], and to the safety and quality of care provided by emergency physicians (EPs) [5, 6]. Due to the specific nature of emergency medicine, EPs must rapidly investigate the state and stability of a patient’s health in order to make informed decisions and implement medical interventions that can make the difference between life and death. To do so, they must both consult the patient’s prior laboratory test results, ordered by other primary care and/or hospital physicians, and order new tests if necessary. Many EPs now achieve this through a health information exchange (HIE) platform that uses information technology (IT) to enable the interoperability of clinical data [7, 8].
In the ED, various types of information systems such as electronic health record systems, clinical information systems, laboratory information systems, and/or emergency department information systems (EDIS) may be used by EPs for laboratory medicine purposes [9–12]. EPs may also access HIE platforms such as regional data repositories set up by governmental or private organizations to enable the fluid circulation of information between primary care medical clinics, hospitals, and private laboratories [13, 14]. As HIE usage in the ED can take different forms, the interoperability of these systems has become a critical condition for extensive and effective usage by EPs [15, 16].
The “laboratory” component of HIE, called laboratory information exchange (LIE), has become an essential aspect of the quest to improve the quality, safety, timeliness, and cost-effectiveness of medical care in general  and of emergency care in particular [18–20]. In this regard, various motivations for LIE use have been identified, including improving the ED’s workflow and EP’s clinical judgment, overcoming informational or technical problems with the hospital’s electronic medical record system, and EP detecting drug interactions and misuses [21–23]. Moreover, LIE can be used to reduce ED costs related to test duplication and repeated patient visits as well as to improve patient follow-ups due to a greater integration of care services [24, 25].
The benefits of providing timely and relevant laboratory information to EPs are not limited to improved emergency care quality, and they go beyond the ED by reducing the hospitalization rate, the use of hospital resources (e.g., less imaging/lab tests, fewer consultations), and the length of patients’ hospital stays after ED visits [26, 27]. However, LIE usage may vary greatly from one physician to another, implying major differences in the barriers faced by EPs in their adoption of LIE, in the nature and extensiveness of their use of LIE, in the benefits eventually obtained from such use, and, most importantly, in the impact of such use upon their clinical decision-making and the well-being of their patients [28–30].
Given the need to deepen our understanding of the nature and effectiveness of EPs’ use of LIE systems, this study seeks to answer the following research questions: What is the nature of LIE usage in the ED, and, in particular, what types of information systems are actually used by EPs for laboratory medicine purposes? How extensive is this use? What are the benefits obtained by EPs from their LIE usage?
As part of a larger research program on the use of LIE systems by physicians in Quebec, Canada, this study was designed as a self-administered survey. As described below, the online survey was designed and reported according to best practices . The questionnaire instrument was developed following a comprehensive review of the extant literature on LIE and a series of in-depth face-to-face interviews with eight practicing EPs. Survey respondents were recruited with the help of the Quebec’s Ministry of Health and Social Services, which sent an invitation letter via email to all physicians who had an authorized access to the province-wide interoperable electronic health record (iEHR) called “Dossier Santé Québec.” The letter contained a hyperlink and a QR code for mobile devices, directing respondents to a secure Web page giving them access to the survey. Developed with the Qualtrics online survey platform , the questionnaire instrument was first approved by the Quebec health authorities and then pre-tested with two EPs. Each participant was interviewed regarding the content, format, instructions, questions, and responses to ensure he or she interpreted the questions and responses as presented and intended. Following minor adjustments to the questionnaire, the study received final approval from the ethics board of each researcher’s university. Two reminder letters were sent to all intended respondents 1 and 2 weeks after the initial invitation sent in early June 2016. No research incentives were used.
Our sample is composed of 163 EPs, representing 36% of the 456 physicians who were practicing in EDs in Quebec at the time of the survey. The possibility of a response bias in the data was assessed by comparing the 37 “late” respondents (i.e., those who responded after receiving the second reminder) with the 126 “early” respondents. No significant differences were found between these two groups, thus minimizing the potential for such a bias. The data were then analyzed through descriptive statistics as well as chi-square analysis, cluster analysis, and ANOVA, using the SPSS statistical package. As there were very few missing data (three respondents omitting the size of their ED), these were replaced by the mean value. The internal validity of the (index) measures of LIE use was confirmed though “item analysis,” that is, by confirming that each measure correlated sufficiently with the individual items that compose it .1 The internal validity of the measures of the performance outcomes of LIE use was confirmed through Cronbach’s α coefficient (with values ranging from 0.62 to 0.86).
Profile of the sample
Characteristics of the EPs
All physicians (n = 163)
Generalists (n = 130)
Specialists (n = 33)
30 years or younger
60 years or older
5 years or less
25 years or more
Characteristics of the sampled EPs’ emergency departments
Characteristics of the EDs
All physicians (n = 163)
Generalists (n = 130)
Specialists (n = 33)
Size of the ED
Location of the ED
LIE functionalities as used by EPs
Availability of functionality (% of systems)
Use of functionality (% of EPs)
iEHR functionalities for LIE (n = 120 users)
I consult the laboratory results provided by the iEHR when:
- The patient has been seen by a physician in another health establishment in Quebec;
- Patients are unable to reliably report to me their recent laboratory test results or their present state of health;
- The patient has no medical record in my hospital;
- Patient’s laboratory test results that I require are not found in my usual information sources (e.g., the EDIS);
- Caring for minor emergencies;
- Caring for major emergencies (e.g., resuscitation room).
EDIS functionalities for LIE (n = 18 users)
- When a patient arrives in the ED, I can verify the availability of laboratory test results directly in the EDIS.
- I can prescribe a laboratory test directly from the EDIS.
- I can insert and save clinical annotations when I consult a laboratory test result in the EDIS.
LRV functionalities for LIE (n = 150 users)
The laboratory results viewer allows me:
- To only access those patients’ test results that are produced by my hospital’s laboratory;
- To access all of a patient’s laboratory test results, whether I prescribed such tests or not;
- To generate tables and graphs for the display and analysis of lab test results;
- To apply search criteria in order to find the lab test results that meet my needs;
- To access patients’ test results that are produced by the laboratories in my region;
- To electronically request a laboratory analysis and print identifying labels for the samples.
Performance outcomes of EPs’ use of LIE systems
Performance outcomes of LIE usea
Outcomes of iEHR use (n = 120 users)
Accessing the laboratory test results provided by the iEHR:
- Improves the continuity of my patients’ care;
- Allows me to make better clinical decisions;
- Provides me with results that I cannot obtain from my usual information sources (e.g., the EDIS);
- Improves the way in which I evaluate patients;
- Reduces duplication of the lab tests that are prescribed to my patients;
- Prevents me from missing an important result;
- Allows me to intervene more rapidly and effectively with my patients;
- Increases the safety of my patients’ care;
- Provides me with an overall view of my patients’ lab results (patients’ test history);
- Allows me to discharge patients more rapidly;
- Provides support to my clinical research or my performance measurement activities.
Overall performance outcome of iEHR use for LIE purposesb
Outcomes of EDIS use (n = 18 users)
- I can take faster action when laboratory test results are available in the EDIS.
- The information being in one place, I gain time when I follow up on lab results through the EDIS.
- The ability to generate tables and graphs with the EDIS is very helpful in interpreting lab results.
Overall performance outcome of EDIS use for LIE purposesd
Outcomes of LRV use (n = 150 users)
- The viewer provides most of the lab test results that I need to care for patients arriving in the ED.
- My patients’ lab test results are easier to consult in the viewer than in the paper medical record.
- It is quicker for me to access the viewer to consult patients’ previous lab test results than waiting to receive their paper medical record.
- As most of my patients reside in the region, I have little use for the iEHR because the viewer provides me with most of the lab test results that I need.
- The viewer is very useful in allowing me to access test results produced by the public laboratories in my region.
Overall performance outcome of LRV use for LIE purposesc
LIE user profiles
Extent of LIE usea
LIE user profiles
iEHR-LRV-reliant users (n = 100)
LRV-reliant users (n = 40)
iEHR-reliant users (n = 23)
Use of iEHR functionalities
Use of LRV functionalities
Use of EDIS functionalities
Characterization of the LIE user profiles
Context and outcome of LIE use
LIE user profiles
iEHR-LRV-reliant users (n = 100)
LRV-reliant users (n = 40)
iEHR-reliant users (n = 23)
Gender [0: male, 1: female]
Medical practice [0: specialist, 1: generalist]
Size of the EDc
Location of the ED [0: central/urban, 1: peripheral/rural]
Technological context (LIE capability)
Number of iEHR functionalities available
Number of LRV functionalities available
Number of EDIS functionalities available
Outcomes of LIE used
Performance outcome of iEHR use
Performance outcome of LRV use
Performance outcome of EDIS use
Our last set of findings pertains to differences in performance outcomes of LIE usage among the three user groups. Returning to Table 6, one finds that the first group, the iEHR-LRV-reliant users, receives as many benefits from their use of the province-wide iEHR system as the iEHR-reliant users, whereas the LRV-reliant users receive very limited benefits from this system. Note also that the iEHR-reliant EPs, the smallest group, are the only ones to benefit from their use of an EDIS, in combination with their use of the iEHR, because, in contrast to the other two groups, their EDIS includes some LIE functionalities. Recalling that the most important benefits of iEHR and EDIS use were found to be in terms of quality of care and patient safety, whereas the benefits of LRV use were more in terms of physician efficiency, it appears that the iEHR-LRV-reliant EPs obtain on average the highest performance outcomes for all aspects. Such differences in performance outcomes among the three groups would thus be mainly explained by the differences in the LIE capabilities, i.e., in the number of LIE functionalities available, and by the extent to which the LIEs are actually used by EPs.
The findings of the present study confirm that the use of a LIE in support of the emergency care process is associated with perceived improvement in performance. However, we also observed substantial variability in terms of the nature and extent of the perceived benefits. This may be attributed to the varying LIE capabilities and differences in the nature and extent of LIE usage by EPs, thus providing answers to this study’s research questions .
With regard to the first question, the nature of LIE usage by EPs was found to most often involve the concomitant use of two or more systems. Comparing this study to the results of prior studies cited above, a contribution lies in its identification of the polymorphous nature of LIE usage in emergency care settings. Most of the EPs in our sample appear to believe that no single system can meet all their LIE needs, not the province-wide iEHR, their hospital’s electronic medical record system, nor their department’s EDIS. Moreover, most EPs do not use their department’s EDIS for LIE purposes because these systems do not provide any LIE functionalities. These findings also provide a previously lacking empirical grounding for calls for more LIE capability to EDIS and greater interoperability of these systems with other LIE systems used by EPs .
As to the second research question, a cluster analysis allowed us to characterize the extent of LIE usage by EPs in a succinct and meaningful manner. The first and most prevalent user profile, named iEHR-LRV-reliant users, consists of EPs who make extended use of the province-wide iEHR and an LRV. This confirms that in laboratory medicine, the iEHR artifact contains information and has useful functionalities that are complementary to those found in other systems. The second group, named LRV-reliant users, differs from the first in that its EPs make no use of the iEHR for laboratory medicine purposes, as they appear to be satisfied with the information available in their LRV. This finding is interesting since the physicians in this group have no more LRV functionalities and no fewer iEHR functionalities available to them than physicians in the first group. But we cannot explain why these EPs make no use of the iEHR system, except for the fact that they tend to practice emergency medicine in rural rather than urban regions. A plausible explanation may be that in urban areas, patients tend to go to different hospitals or medical clinics, thus creating a need for the EPs to consult the iEHR system. In contrast, in rural areas, there is usually a single hospital and a very small number of clinics to which most of the patients go to, lowering the need for EPs to consult information contained in the provincial iEHR system.
The EPs in the third group, named iEHR-reliant users, differ from the other two groups in that they make, on average, very little use of an LRV. A possible explanation may be that fewer LRV functionalities for LIE, and conversely more EDIS functionalities, are available in the system used by this group. Once again, this confirms that functional design differences between LIE systems influence usage in the ED. Moreover, future research could capitalize on the notion of “extended use” to acquire a better understanding of another individual, organizational, and technological determinants of LIE usage in this context .
Last, it was found that the iEHR-LRV-reliant EPs, who make extensive use of both the iEHR and a LRV, obtain the widest range of benefits from such use in terms of efficiency, quality, and safety of emergency care. Note also that the LRV-reliant EPs obtain greater benefits from their use of an LRV than the first group, simply because their LRVs provide them with a greater number of LIE functionalities. In a similar fashion, iEHR-reliant EPs obtain greater benefits from their use of an EDIS than the second group because their EDIS artifacts provide them with more LIE functionalities. These results thus challenge system developers and vendors with regard to not only the interoperability or “openness” of the LIE software products they develop, but also concerning how to approach the functional design of these products to generate the widest range of performance benefits. Future studies could investigate the notion of “effective use” to enhance our understanding of the impacts of LIE usage on the performance of EPs .
In this study, we sought to develop a better understanding of how EPs are using the technological tools at their disposal to consult their patients’ laboratory test results, as well as the benefits they derive from such use. Our results must be considered in light of the study’s response rate and the usual limitations associated with survey research, as there may still be biases related to the perceptual nature of the LIE performance outcome data. The variability observed in the performance outcomes by EPs could be further explained through a better understanding of the clinical environment of this use. In this regard, integrating LIE use into a process model of emergency care, such as the one proposed by the International Federation for Emergency Medicine , would deepen our understanding of how this use affects emergency clinical processes, and how improved performance ensues in terms of efficiency, quality, and safety. In-depth case studies of LIE usage in a variety of ED contexts should help us improve our understanding of this process and, hence, contribute to the performance of emergency physicians and departments.
The high participation rate, with respondents representing 36% of all EPs practicing in Quebec hospitals, should be interpreted as a clear sign of EPs’ interest in laboratory medicine as well as the information technologies supporting it. The great majority of our respondents indicated that they use several systems to consult their patients’ laboratory results. Even more encouraging is the fact that the more widespread this use, the higher the perceived benefits. More specifically, extensive use of the LIE allows EPs to intervene promptly with their patients and make informed clinical decisions, due in part to the laboratory results (and, in particular, abnormal and critical results) that are made available in a timely manner. In other words, extensive use of these systems allows EPs to better determine and monitor the health status of their patients, verify their diagnostic assumptions, and apply evidence-based practices in laboratory medicine (e.g., in test selection and interpretation). But in order for such benefits to be possible, it is important to ensure that EPs are provided with quality systems producing accurate, precise, up-to-date, relevant, complete, and easy-to-interpret information in a timely manner.
As opposed to a “scale” measure that is constructed by assigning scores to patterns of responses, an “index” measure is constructed by accumulating scores assigned to individual attributes . As an index combines elements not expected to be strongly intercorrelated, Cronbach’s α coefficient is inappropriate to test its internal validity .
Financial support for this study was provided by Canada Health Infoway (grant #2069). Canada Health Infoway was not involved in the design and conduct of the study. It approved the research design that was developed by the research team.
Availability of data and materials
Please contact the first author for data requests.
All authors contributed to the study design and survey instrument development. EM and GP contributed to the data collection. LR and AOG contributed to the data analysis. LR and GP contributed to the manuscript drafting. All authors have had the opportunity to review the final manuscript and have provided their permission to publish it.
Ethics approval and consent to participate
This study received approval from the ethics board committee at HEC Montréal on March 31, 2015 (Certificate #2015-1788).
Consent for publication
The authors declare that they have no competing interests.
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