• Center on Health Equity and Access
  • Clinical
  • Health Care Cost
  • Health Care Delivery
  • Insurance
  • Policy
  • Technology
  • Value-Based Care

Electronic Consults for Improving Specialty Care Access for Veterans

The American Journal of Managed CareMay 2019
Volume 25
Issue 5

The combination of electronic consultations and active triage of specialty care consults effectively reduces wait times for outpatient clinics.


Objectives: We adopted e-consults within an active referral management (ARM) process for our Veterans Health Administration (VHA) outpatient cardiology clinic to reduce clinic wait times.

Study Design: Prospective multiphase cohort study.

Methods: Our ARM process consisted of reviewing all incoming consult requests for our outpatient clinic and triaging the requests to either an e-consult or a clinic visit. The primary outcome was wait time for an appointment in our clinic.

Results: Median wait time prior to the ARM process was 24 days. After implementation of the ARM process, wait times decreased to 13 days (46% reduction). Approximately 60% of incoming consults could be triaged into e-consults, predominantly by managing stable diseases or minor symptoms.

Conclusions: E-consults and ARM of clinical referrals were effective at reducing wait times for our outpatient VHA cardiology clinic. The majority of clinical referrals could be handled through an e-consult and did not require an in-person clinic visit.

Am J Manag Care. 2019;25(5):250-253Takeaway Points

  • E-consults are an efficient healthcare delivery strategy.
  • Active management of incoming consults improves triage of electronic and in-person consultations.
  • When combined, these strategies can reduce wait times for outpatient specialty clinics.
  • Triage of consults can be performed by advanced practice providers as well as physicians.

For decades, physicians have provided outpatient medical care almost exclusively through clinic-based encounters. A typical encounter includes taking a history from the patient, reviewing the medical record, performing a physical examination, checking the vital signs, formulating a plan of care, writing any needed medical orders, and documenting the encounter. This model of care delivery has predominated because the rules and regulations governing reimbursement for care are built around a standard outpatient clinic encounter. Delivering care in the standard outpatient clinic encounter is comprehensive, but this model may include more than is actually necessary to answer certain clinical questions. Alternative models of care delivery, such as telemedicine and e-consults, are sometimes not reimbursed or rules and reimbursement rates are barriers to adoption.1,2

Problems with prompt access to healthcare have garnered substantial attention in both lay and medical publications recently.3,4 Concerns about veterans’ access are widely known, although many non—Veterans Health Administration (VHA) primary care and specialty care clinics around the country have long wait times as well. One potential solution that the VHA has adopted to improve access to care is encouraging the use of e-consults.5 An e-consult is similar to a clinic visit in that both consist of reviewing the medical record, formulating a plan of care, and providing care guidance through notes in the electronic health record. They differ in that e-consults do not include taking a history directly from the patient or performing a physical examination. E-consults share some similarity with informal “curbside” consultations but differ in that they are documented within the medical record. Despite the limitations, many clinical questions can be adequately answered without these care elements.

At our VHA facility, wait times for cardiology clinic appointments were steadily increasing and threatened to limit timely access to care. We adopted the use of e-consults in a multiphase process and tracked the impact on clinic wait times. We hypothesized that, when clinically appropriate, diverting consult requests from providers away from in-person clinic appointments to e-consults would reduce wait times for clinic appointments.


Our facility provides comprehensive cardiology care for veterans in the north Florida/south Georgia region in the outpatient, inpatient, and critical care settings. Specific services include implanted cardiac device monitoring and management, echocardiography, nuclear cardiology, cardiac computed tomography and magnetic resonance imaging, evaluation and management of coronary disease and heart failure, telemedicine, home-based cardiac rehabilitation, and electrophysiology management of dysrhythmias including complex ablation, percutaneous coronary intervention, and transcatheter structural procedures. This comprehensive suite of cardiovascular services places a high demand on access to our outpatient clinic for evaluation and management of heart disease. Any clinician in our system is capable of ordering cardiology consultation either as an in-person clinic visit or as an e-consult.

We studied the implementation of a 2-phase active referral management (ARM) process in a pre—post observational design. The goals of the ARM process were to perform more e-consults and reduce wait times. In phase 1, all incoming clinic consult requests from providers were reviewed by a cardiologist. The cardiologist reviewed the medical record and all available relevant results, such as cardiac stress testing, electrocardiograms, echocardiograms, coronary angiography, and recent laboratory findings, applying their individual judgment to determine if the patient should be seen in person or if an e-consult would be sufficient to provide direction for the consulting provider. If an e-consult was sufficient, the physician would complete the consult immediately; otherwise, the patient would be referred to the clinic scheduler to come for an in-person appointment. Responsibility for consult review was shared by all staff physicians (n = 10). Phase 1 was conducted from November 1, 2015, to October 31, 2016. During phase 1, we monitored the types of clinical questions that physicians felt were appropriate for e-consults. These clinical judgments were used to develop clinical consult triage recommendation tables directing incoming consults toward either e-consults or clinic visits (eAppendix [available at ajmc.com]). Phase 2 was conducted from November 1, 2016, to March 1, 2017. In phase 2, nurse practitioners and physician assistants (NPs/PAs) with full-time assignment in the cardiology section performed the initial review of consult requests and referred a subset of requests to a physician for further review.

At the time of this program, our cardiology service used “wait time” as defined later in this paragraph. Since that time, VHA has adopted definitions of wait times that are applied more universally across facilities and services. On a weekly basis, we reviewed the number of open clinic appointments and calculated the number of days necessary in order to fulfill the number of currently unscheduled clinic appointments. We use the term “days” to refer to clinic days (ie, Monday through Friday). For example, if 100 patients needed an appointment and each clinic day had 10 open slots to accommodate patients, our calculated wait time would be 10 days. Wait times were tracked on a continuous weekly runchart. We applied accepted rules of runchart analysis for determining when a significant change had occurred.6 We also tracked the number of clinic consult referrals. A subset of consult requests (from October 1, 2016, to November 15, 2016) was reviewed secondarily as an estimate of the source, clinical questions, and results of the ARM process. D.E.W. had full access to the study data and takes responsibility for data integrity and analysis. We did not perform any formal assessment of patient, cardiology provider, or referring provider satisfaction with the ARM process. The University of Florida Institutional Review Board approved the use of these data and waived the requirement for informed consent.


During this project, 4662 consult requests were evaluated. Phase 1 included 3116 total consults; 60.6% were clinic consults (n = 1887) and 39.4% were e-consults (n = 1229). Phase 2 included 1546 total consults; 70.4% were clinic consults (n = 1089) and 29.6% were e-consults (n = 457). The median number of weekly total (phase 1: n = 59; interquartile range [IQR], 17; phase 2: n = 66; IQR, 20.75; P = .006) and clinic (phase 1: n = 33; IQR, 15; phase 2: n = 49; IQR, 15.25; P ≤.0001) consults increased from phase 1 to phase 2; however, the median number of e-consults (phase 1: n = 24; IQR, 16; phase 2: n = 20.5; IQR, 9.75; P = .61) did not increase. At the beginning of phase 1, the median wait time was 24 days. Data on wait times prior to our intervention were not available to include in this report. After implementation of phase 1 of the ARM process, we observed 20 consecutive weeks in which wait times fell below the median, suggesting a statistically significant and sustained decrease (Figure 1). At this point, the median was recalculated (13 days) based on the newly achieved steady state of wait times. After implementation of phase 2 of the ARM process, we observed 17 consecutive weeks in which wait times exceeded the second calculated median, suggesting a statistically significant and sustained increase.

During the 2-phase ARM implementation, the total number of consult requests was tracked in a separate runchart (Figure 2). The weekly number of consult requests exhibited substantial volatility (median, 29; SD, 4.78). Starting in May 2016, we observed 35 consecutive weeks in which the number of consults exceeded the median, suggesting a statistically significant and sustained increase.

A review of a subset of consult requests (n = 332) found that the primary source of consults was primary care (42%), followed by other specialties (34%), emergency medicine (13%), inpatient requests for follow-up (7%), and other cardiologists in our network (4%). The largest identifiable categories of referrals were for arrhythmia management (19%), stable heart disease management (12%), and preoperative assessment (10%). Overall, it was determined that 60% of consults could be converted to e-consults. A substantial portion (30%) of the converted consults were administrative in nature (eg, request for non-VHA care, request for follow-up in already established/scheduled patient, referred to another cardiologist within our regional care network). Without ARM, many of these patients would have been scheduled into the clinic without any need to be seen in person. Of the 60% that could be converted, approximately half (28%) were for questions about minor symptoms or stable disease and were managed as e-consults.


E-consults are an emerging form of care delivery that offer a number of potential advantages over traditional face-to-face clinic visits. Although clinicians at our facility are able to order e-consults directly, by using an ARM process, we observed an increase in the number of patients managed via e-consult that translated into a sustained improvement in wait times. This improvement was tempered when we implemented a process based on initial review by a nonphysician provider, but it remained an improvement over not using an ARM process at all. These findings are informative toward the adoption of e-consults and ARM processes.

The direct measure of our program was limited to wait times for the outpatient cardiology clinic, but we also observed a number of secondary benefits, beyond improvements in access to care. For example, we had a surplus of clinic appointments that allowed us to reserve 1 same-day appointment per day for walk-ins or urgent referrals. Another potential efficiency was in perioperative care; by eliminating the wait for an outpatient visit and evaluating preprocedural cardiac risk via e-consult, patients could reduce their time to the operating room by 2 to 3 weeks. The referral base for our facility stretches over roughly 200 miles from south Georgia to north Florida; handling outpatient referrals via e-consult substantially reduces travel burden for some of our veterans. In an early evaluation of e-consults, Kirsh et al found that the average travel avoided was 72.1 (IQR, 17.1-108) miles.5 Although we did not assess patient and provider satisfaction with e-consults, others have found high satisfaction in both groups.7,8

We observed a sustained reduction in wait times during phase 1 of our ARM process (cardiologist review). During phase 2 (nonphysician review), wait times increased again and then leveled off. There are a number of potential explanations for this observation. First, it is possible that our nonphysician providers did not have the same level of comfort with converting to e-consults as did our cardiologists. Second, we observed an increase in consult requests overall during phase 1; this may have taken time to manifest in an increase in the wait times. Third, we experienced a shortage of clinic coverage for our electrophysiology services due to loss of staffing, but no other staffing issues occurred during the observational period. Because we could not distinguish general from electrophysiology appointments within our clinic, this may have contributed to the increase in wait times. We should also note that cardiologists were skeptical of the design of our ARM process due to the potential for variation among cardiologists as they reviewed the consults. Although this is a possible downside to our ARM process, it did not appear to manifest in the wait times, possibly because of the substantial volatility in the weekly volume of consult requests (Figure 2).

Potential downsides to the use of e-consults include recidivism and patient safety. After a patient is seen electronically, they may still have a standard outpatient clinic visit within a short time frame. In some cases, this could provide the specialist an opportunity to review the chart beforehand and preorder diagnostic tests or laboratory tests that would improve efficiency of the visit. In other cases, the resources put into the e-consult may be squandered if the in-person visit readdresses the same problem. Wasfy et al found that 11.6% of the e-consults in their study had an unrecommended in-person visit within 6 months of the initial consult.9 Although it is difficult to say what would be a “right” proportion of patients to have in such a scenario, it seems reasonable that some proportion of patients would benefit from an in-person visit even if initial review of their chart suggested otherwise. Although safety may be an initial concern with the adoption of e-consults, both Wasfy et al and Olayiwola et al studied e-consult use within cardiology and found no signal of harm.9,10

Despite the evidence of benefit, e-consults face a multitude of barriers to adoption. First and foremost is that in many care settings, the effort is unfunded or not reimbursed. In some health systems with salaried physicians and providers, such as the VHA and accountable care organizations, the use of e-consults has been supported with protected time for providers.8,11 Formal assessments of ARM productivity were beyond the scope of our investigation; however, e-consults are recognized as clinical care within the VHA (each e-consult yields 0.64-1.38 relative value units). Episode-based payment bundles and other government-led payment reforms may accelerate the implementation of e-consults.12 The VHA is specifically supporting the widespread adoption of e-consults and ARM processes through the Diffusion of Excellence initiative.13 This initiative is based on implementation science that has shown that e-consults are more likely to be successful in environments with physician champions, high-quality communication among providers, and an engaged management team.14 Another substantial barrier is a lack of guidance from clinical thought leaders on what constitutes a safe and responsible e-consult. Anticipating greater adoption of e-consults, it would seem prudent for professional societies to develop principles and best practices for the use of e-consults.


Our report is limited by the absence of balancing measures such as increases or decreases in consult levels as a result of our program. Conceivably, clinicians frustrated with our e-consults could have avoided requesting cardiology care or they might have requested more in order to address what they perceived as incomplete care. We did not formally track satisfaction, but we have not received negative feedback on the ARM process during the 2 years after implementation. Data from phase 2 are limited to 5 months. We used a metric for wait times that differs from more commonly used metrics, such as the third next available appointment, out of a desire for a metric that better captures the total unmet demand on our clinic.


In this investigation, we have shown that e-consults are an effective strategy for providing specialty medical care services, particularly when incoming consult requests are actively managed by the receiving service. This investigation adds to the existing literature by demonstrating that the strategy can be adopted using physicians or NP/PA team members when facilitated by documented standards of what care can be provided electronically. E-consults and ARM may be a solution for resource-limited environments experiencing care shortages, such as the VHA.Author Affiliations: Malcom Randall VA Medical Center (DEW, AW, JV, AAB, KP, CC, MP, MK, MM, CS), Gainesville, FL; University of Florida College of Medicine (DEW, AW, JV, AAB, KP, CC, MP, MK, MM, CS), Gainesville, FL.

Source of Funding: This material is the result of work supported with the resources and the use of facilities at the Malcom Randall VA Medical Center in Gainesville, FL. The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs or the United States Government.

Author Disclosures: The authors report no relationship or financial interest with any entity that would pose a conflict of interest with the subject matter of this article.

Authorship Information: Concept and design (DEW, JV, MP, MM, CS); acquisition of data (DEW, AW, JV, CC, MP, MK, MM, CS); analysis and interpretation of data (DEW, CS); drafting of the manuscript (DEW, JV, AAB, CC, CS); critical revision of the manuscript for important intellectual content (DEW, AAB, KP, CC, MP, MK); statistical analysis (DEW, AAB); provision of patients or study materials (AW, KP, MK); administrative, technical, or logistic support (KP, MM); and supervision (MK).

Address Correspondence to: David E. Winchester, MD, MS, Malcom Randall VA Medical Center, 1601 SW Archer Rd, Box 111-D, Gainesville, FL 32608. Email: David.winchester@va.gov.REFERENCES

1. Neufeld JD, Doarn CR, Aly R. State policies influence Medicare telemedicine utilization. Telemed J E Health. 2016;22(1):70-74. doi: 10.1089/tmj.2015.0044.

2. Weinstein RS, Lopez AM, Joseph BA, et al. Telemedicine, telehealth, and mobile health applications that work: opportunities and barriers. Am J Med. 2014;127(3):183-187. doi: 10.1016/j.amjmed.2013.09.032.

3. Giroir BP, Wilensky GR. Reforming the Veterans Health Administration—beyond palliation of symptoms. N Engl J Med. 2015;373(18):1693-1695. doi: 10.1056/NEJMp1511438.

4. Chokshi DA. Improving health care for veterans—a watershed moment for the VA. N Engl J Med. 2014;371(4):297-299. doi: 10.1056/NEJMp1406868.

5. Kirsh S, Carey E, Aron DC, et al. Impact of a national specialty e-consultation implementation project on access. Am J Manag Care. 2015;21(12):e648-e654.

6. Perla RJ, Provost LP, Murray SK. The run chart: a simple analytical tool for learning from variation in healthcare processes. BMJ Qual Saf. 2011;20(1):46-51. doi: 10.1136/bmjqs.2009.037895.

7. Chittle MD, Rao SK, Jaff MR, et al. Asynchronous vascular consultation via electronic methods: a feasibility pilot. Vasc Med. 2015;20(6):551-556. doi: 10.1177/1358863X15601734.

8. Wasfy JH, Rao SK, Chittle MD, Gallen KM, Isselbacher EM, Ferris TG. Initial results of a cardiac e-consult pilot program. J Am Coll Cardiol. 2014;64(24):2706-2707. doi: 10.1016/j.jacc.2014.09.061.

9. Wasfy JH, Rao SK, Kalwani N, et al. Longer-term impact of cardiology e-consults. Am Heart J. 2016;173:86‑93. doi: 10.1016/j.ahj.2015.11.019.

10. Olayiwola JN, Anderson D, Jepeal N, et al. Electronic consultations to improve the primary care—specialty care interface for cardiology in the medically underserved: a cluster-randomized controlled trial. Ann Fam Med. 2016;14(2):133-140. doi: 10.1370/afm.1869.

11. Chen AH, Kushel MB, Grumbach K, Yee HF Jr. A safety-net system gains efficiencies through ‘eReferrals’ to specialists. Health Aff (Millwood). 2010;29(5):969-971. doi: 10.1377/hlthaff.2010.0027.

12. Song Z, Blumenthal DM. Expanding payment reform in Medicare: the cardiology episode-based payment model. JAMA. 2016;316(19):1973-1974. doi: 10.1001/jama.2016.16146.

13. Elnahal SM, Clancy CM, Shulkin DJ. A framework for disseminating clinical best practices in the VA health system. JAMA. 2017;317(3):255-256. doi: 10.1001/jama.2016.18764.

14. Williams KM, Kirsh S, Aron D, et al. Evaluation of the Veterans Health Administration’s specialty care transformational initiatives to promote patient-centered delivery of specialty care: a mixed-methods approach. Telemed J E Health. 2017;23(7):577-589. doi: 10.1089/tmj.2016.0166.

Related Videos
Related Content
© 2024 MJH Life Sciences
All rights reserved.