Records From Across Town: Comparing Health Information Exchange Models for a Community Emergency Department
Student Name
Master of Science in Nursing Program, Aspen University
N538: Advanced Health Care Informatics
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Records From Across Town: Comparing Health Information Exchange Models for a Community Emergency Department
A composite 45,000-visit community emergency department sits eight miles from an academic medical center that runs a different EHR. Many of the department's patients receive specialty care at the academic center, and when one of them arrives with chest pain or a fever after chemotherapy, the nurse's first request is for outside records. Today that request is a phone call and a fax. The records arrive as a scanned image, often after the key decisions about imaging and admission have already been made.
Health information exchange, the electronic movement of clinical information between organizations, is the obvious remedy, but it is not one thing. This paper defines the three main exchange models, reviews the evidence on whether exchange improves care, explains what the national framework for trusted exchange adds, and recommends a strategy for the department, with the nurse's role in making exchanged information usable at the bedside.
Three Models of Exchange
Directed exchange is the electronic equivalent of sending a letter. One provider pushes information to another known provider, usually through secure messaging that follows the Direct standard. A hospital sending a discharge summary to a primary care practice uses directed exchange. It works well for planned transitions, when the sender knows who needs the information, but it does nothing for an emergency department that does not know in advance which patients will walk in.
Query-based exchange lets a clinician search for records held elsewhere. The emergency department asks, in effect, where else this patient has been seen, and participating organizations return documents such as summaries of care, problem lists, medication lists and recent results. Query-based exchange can run through a community or state health information organization, through a vendor network, or through national networks that connect many vendors. It is the model built for unplanned care.
Consumer-mediated exchange puts the patient in the middle. Patients gather their own records, increasingly through smartphone applications that connect to provider systems through standardized application programming interfaces, and share them with whoever is treating them. The model respects patient control and is growing quickly, but it depends on the patient having the application, a charged phone and the presence of mind to use it, which a patient arriving by ambulance often lacks.
Vest and Gamm (2010) described persistent challenges that cut across models: the cost of building and sustaining exchange, uncertain business cases, privacy and consent rules that vary by state, and the difficulty of matching patients across organizations without a national identifier. Each of those challenges still shapes which model a hospital can realistically use.
Does Exchange Improve Emergency Care?
The evidence has improved as exchange has matured. In an updated systematic review, Menachemi et al. (2018) identified 24 studies containing 63 analyses of health information exchange and a health care outcome. The seven studies with designs suitable for causal inference all reported some benefit and none reported harm. Benefits included fewer duplicated procedures, less imaging, lower costs and improved patient safety, and studies of community exchanges were more likely to find benefits than studies of enterprise or vendor-mediated exchange.
A study from one academic emergency department explains how the benefit happens. Everson et al. (2017) examined 2,163 patients for whom clinicians requested and viewed outside information, comparing records returned through exchange with records returned by fax or scan. Exchange was not directly associated with better outcomes. It was associated with faster access, on average 58.5 minutes faster, and faster access was associated with better care: for each hour saved, visits were 52.9 minutes shorter, the likelihood of admission was 2.4 percentage points lower, the likelihood of computed tomography was 2.5 percentage points lower, and average charges were $1,187 lower. The lesson for the composite department is that the value of exchange lies in speed. Records that arrive electronically but are not opened until after the disposition decision add little.
What a Nationwide Framework Changes
For years, query-based exchange stopped at network borders. A hospital could search the records of organizations in its own vendor network or its regional health information organization but not necessarily those in another. The Trusted Exchange Framework and Common Agreement, established under the 21st Century Cures Act and overseen federally (Office of the National Coordinator for Health Information Technology [ONC], 2024), is designed to connect those networks. Qualified health information networks agree to common rules, so that a query from a participant in one network can reach participants in another under shared terms for privacy, security and permitted purposes, including treatment.
For the composite department, the framework matters because its patients' outside records sit with a health system on a different vendor. If both organizations participate through qualified networks, a query from the emergency department could return the academic center's records without a separate agreement between the two. The framework does not solve patient matching, data quality or the problem of a 200-page document arriving when the nurse needs three facts, but it removes one of the oldest barriers, the question of whether anyone is allowed to answer the query at all.
Recommendation for the Department
The department should make query-based exchange its primary strategy, because its patients arrive unplanned and the evidence ties value to how quickly outside information can be opened. Directed exchange should continue for discharge summaries sent to primary care, and consumer-mediated records should be accepted when patients offer them, but neither answers the emergency department's core need. The hospital should confirm that its EHR vendor participates in exchange through a qualified network and should verify, with a test query, that records from the academic center are returned.
Access alone will not reproduce the benefit found by Everson et al. (2017). The department must also change workflow so that the query happens early. Triage nurses are well placed to trigger it: when the registration record or the patient's answer shows care at an outside organization, the query can be launched at triage, before the patient reaches a room. Exchanged documents should be filtered to a short view of recent encounters, active problems, medications, allergies and recent results, so that the physician and nurse see the three facts they need instead of a stack of pages.
Evaluating the Change
Three measures would show whether the strategy works. One is the share of patients with known outside care for whom a query is launched at triage. The second is the time from arrival to the first time a clinician opens outside information, taken from EHR audit data in the same way Everson et al. (2017) measured it. The third is a set of utilization measures for those patients, including repeat computed tomography within 30 days of an outside scan and the admission rate. A fair six-month target is that outside information is opened within 60 minutes of arrival for three quarters of eligible patients.
Conclusion
Health information exchange is three models with different strengths, and the choice among them should follow the setting. For an emergency department, where patients arrive without notice and decisions are made in the first hours, query-based exchange is the model that fits, and the national framework makes it possible across vendors and regions. The evidence shows that exchange helps when it speeds access to outside information, which means the nurse's part in the design, triggering the query early and shaping what the team sees, is what turns a technical connection into better emergency care.
References
Everson, J., Kocher, K. E., & Adler-Milstein, J. (2017). Health information exchange associated with improved emergency department care through faster accessing of patient information from outside organizations. Journal of the American Medical Informatics Association, 24(e1), e103-e110. https://doi.org/10.1093/jamia/ocw116
Menachemi, N., Rahurkar, S., Harle, C. A., & Vest, J. R. (2018). The benefits of health information exchange: An updated systematic review. Journal of the American Medical Informatics Association, 25(9), 1259-1265. https://doi.org/10.1093/jamia/ocy035
Office of the National Coordinator for Health Information Technology. (2024). Trusted Exchange Framework and Common Agreement (TEFCA). https://www.healthit.gov/topic/interoperability/policy/trusted-exchange-framework-and-common-agreement-tefca
Vest, J. R., & Gamm, L. D. (2010). Health information exchange: Persistent challenges and new strategies. Journal of the American Medical Informatics Association, 17(3), 288-294. https://doi.org/10.1136/jamia.2010.003673
How this N 538 Module 4 example is structured
Aspen does not publish N538 module prompts, so check your classroom for the exact instructions. This example sets a concrete exchange problem, defines the three models by who initiates exchange and when each works, reviews the evidence and the mechanism behind it, explains the national framework and its limits, recommends one model for the setting with a workflow change, and ends with measures and a conclusion.
N538 Module 4 questions, answered
What does N538 Module 4 usually ask for?
Health information exchange is one of the problems Aspen names in the N538 description, so a module paper that compares exchange models or evaluates exchange for a setting is a typical shape. Check your classroom for the exact prompt and length.
What is TEFCA in plain terms?
The Trusted Exchange Framework and Common Agreement is a national set of rules that lets qualified health information networks exchange with one another, so a query from a provider in one network can reach providers in another under shared terms.
Which exchange model suits which setting?
Directed exchange suits planned transitions such as discharge to primary care. Query-based exchange suits unplanned care such as the emergency department. Consumer-mediated exchange suits patients who manage their own records, and grows as patient-facing apps spread.
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