The Care Completion Gap

Kelly EmrickHealthcare leadership & research
An interactive research experience
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From recommendation to resolution

The care
completion gap.

A test can be complete while the next step in care is still missing. Explore where follow-up stalls, what the evidence shows, and what better follow-through could change.

Kelly Emrick, DHSc, PhD, MBA, BSRT(ARRT)R

A patient and family member review a follow-up plan with a physician and care coordinator.
The next step is part of the care.Illustrative care-planning scene.
Demonstration data200 episodes

Hypothetical due cohort. An episode is a recommendation, not a unique patient.

The gap in plain sight

What happened after the recommendation?

Four measures tell different parts of the story. A documented resolution does not always mean the original service was performed.

On-time completion
60%
120 / 200 by the applicable due date
Eventual completion
70%
140 / 200 verified, including late care
Documented disposition
85%
170 / 200 completed or otherwise resolved
Still unresolved
30
15% of the due cohort

One cohort. Seven outcomes.

Every episode belongs to one outcome category.

200follow-up episodes
  • Verified on time120 · 60%
  • Verified late20 · 10%
  • Clinical alternative20 · 10%
  • Informed decline10 · 5%
  • Transfer awaiting service15 · 7.5%
  • External care unverified5 · 2.5%
  • Other unresolved10 · 5%
Closed in the record is not always completed care. Alternatives and informed declines count toward disposition. Accepted transfers and unverified outside care remain unresolved.

Three lenses on follow-through

Same denominator. Different definitions.

On-time completion60%
Eventual completion70%
Documented disposition85%
How these measures are calculated

On time: verified on-time services ÷ all episodes in the due cohort.

Eventual: verified on-time plus late services ÷ the same cohort.

Disposition: verified services, clinician-reviewed alternatives, and informed declines ÷ the same cohort.

Original due dates and cohort rules must be retained. Missing dates need explicit handling before applying these measures.

Where the next action belongs

Inspect an outcome and the evidence needed for its next step.

7 outcome categories
Outcome counts and follow-up actions for the selected cohort
OutcomeEpisodesShareStatusEvidence or next action
Verified on time12060%VerifiedRetain the service evidence and applicable due date.
Verified late2010%VerifiedRetain the actual service date; preserve the late designation.
Clinical alternative2010%DispositionDocument clinician review and the alternative plan.
Informed decline105%DispositionDocument the informed choice and appropriate communication.
Transfer awaiting service157.5%UnresolvedConfirm responsibility; verify the service or another valid disposition.
External care unverified52.5%UnresolvedObtain and review the required external service evidence.
Other unresolved105%UnresolvedClarify the barrier, accepted owner, and next action.

The pathway breakdown is illustrative and is not a comparison of actual clinical performance. Table filters narrow inspection; downloads retain the full selected cohort. Research studies are shown separately in Evidence.

Barrier explorer

Match the response to the obstacle

Select a possible barrier. These are response options, not measured causes in this cohort.

Confirm who has accepted the next action, how that acceptance is recorded, and who provides backup when the owner is unavailable.
Equity & access

Ask who is missing from the average

No demographic or access-group observations are supplied, so this dashboard does not invent disparity estimates.

What an equity-ready dataset needs
  • Group-level eligible episodes and verified outcomes using the same cohort rules.
  • Documented missingness for language, access, or other approved characteristics.
  • Enough observations to interpret estimates and apply appropriate disclosure protection.
  • Information about transportation, communication, and administrative barriers without assuming why a gap exists.

Patient burden and access context: Kyle & Frakt, 2021; Sinnott et al., 2026.

An interactive process map

Every handoff needs an owner.

Explore four stages of follow-through. This is a conceptual care pathway, not a numerical patient funnel.

Keep the patient inside the loop.

A recommendation needs a clear plan, accepted responsibility, practical support, and a verified outcome. The result and next plan must also reach the patient.

Conceptual synthesis informed by the SAFER follow-up guide and IHI referral guidance.

Patient & care plan01Recommend02Accept03Support04VerifyCommunication belongs at every stage
01 · Recommend

Make the next step explicit

Define the recommended action, its clinical context, the applicable due date, and the patient communication plan.

Evidence of a successful handoff

A clear recommendation and due-date basis, with the original date retained for the reporting cohort.

Watch for: Ambiguous instructions, missing dates, or an assumption that the patient already knows the next step.

Two clocks. Two different questions.

When did the care happen?

The actual service date determines whether completion was on time or late against the applicable due date.

When did the team learn about it?

The verification date determines what was known in a particular reporting snapshot. Late evidence of on-time care can support a logged correction.

A service performed late never becomes on-time care simply because the record was subsequently closed.

Closure requires more than a click

Accepted transfer

Ownership may change. The service remains unresolved until it is verified or another valid disposition is documented.

Outside care reported

A report that care occurred is a useful signal. Verification requirements must be met before it counts as a verified service.

Alternative plan or informed decline

Record the clinical review or informed decision separately. Neither is counted as the originally recommended service.

Process guidance: ASTP/ONC, 2025 · IHI & NPSF, 2017. Clinical deadlines require an appropriate clinical pathway; no universal deadline is supplied here.

A small change, made visible

What could better outreach change?

Adjust the assumptions to explore additional late completions in the unresolved cohort. This is a deterministic scenario, not a prediction from the trials.

Set the assumptions

Share of the unresolved cohort successfully reached.

Share of reached episodes that subsequently complete care.

Average attempts across every unresolved episode.

Contact time only; excludes clinical service delivery.

Model assumptions and limits

Additional late completions = unresolved episodes × reach probability × completion probability among those reached.

Only currently unresolved episodes are eligible. Expected counts may be fractional. No gain is applied to already completed episodes, alternatives, or declines.

Contact hours = unresolved episodes × average contact attempts per episode × minutes per attempt ÷ 60. This excludes treatment time and other administrative work.

No time horizon, clinical outcome, cash saving, or causal effect is inferred. The original on-time rate stays fixed.

Additional late completions

Modeled
12

expected additional completions from 30 unresolved episodes

Eventual completion now70%
With these assumptions76%
18expected episodes still unresolved
8 hestimated contact workload
60%historical on-time rate, unchanged
30 unresolved × 80% reached × 50% completion = 12

Explore the reach–completion relationship

Expected additional late completions as reach changes. Completion among reached stays at the selected assumption.

Additional late completions07.51522.5300%25%50%75%100%Reach among unresolved episodes

At 80% reach and 50% completion among reached, the model adds 12 late completions.

View scenario curve data
ReachAdditional late completions
0%0
25%3.8
50%7.5
75%11.3
100%15

What to test in practice

Reach and resolution are separate

A successful contact does not establish completion. Check both steps when evaluating an outreach change.

Capacity has a cost

Contact workload is an input to planning. It is not evidence of cash savings or staff capacity available elsewhere.

Keep the original due cohort intact

Late recovery improves eventual completion. Preserve the original on-time result when reporting the intervention.

Published research, with context

What the evidence actually shows.

Study findings retain their own populations and observation windows. They do not change when demonstration filters or sliders change.

Reviewed October 11, 2026
Cluster randomized trial

Active outreach improved follow-up

Atlas et al., 2023 · 44 practices · 11,980 patients already overdue for abnormal screening follow-up

Usual care22.9%
EHR reminders22.7%
Reminders + outreach31.0%
Reminders + outreach + navigation31.4%

Adjusted completion within 120 days after enrollment. The observation window is not a recommended clinical deadline.

+8.5 percentage points for reminders, outreach, and navigation versus usual care; 95% CI 4.8 to 12.0. Navigation added to outreach had an uncertain incremental effect.
Study data and interpretation
ArmnAdjusted completion
Usual care2,70222.9%
EHR reminders3,25422.7%
Reminders + outreach2,56931.0%
Reminders + outreach + navigation3,45531.4%

Navigation versus outreach: +0.4 percentage points, 95% CI −3.6 to 4.2. This does not establish equivalence.

Read the JAMA trial ↗

Randomized trial

Navigation helped close part of the gap

Coronado et al., 2025 · 967 patients in the primary analysis · Abnormal stool-based screening

Usual care42.1%
Patient navigation55.1%

One-year colonoscopy completion. Navigation n = 479; usual care n = 488. Results reflect one health-center organization and a pandemic-affected study period.

+13.0 percentage pointsNavigation minus usual care · 95% confidence interval 6.5 to 19.4
0102025 pp6.513.019.4
A higher completion rate still left a substantial unresolved group. Navigation is a potential response, with local effectiveness to be evaluated.

Read the Annals of Internal Medicine trial ↗

A useful counterweight

Effort does not guarantee improvement

Zubkoff et al. (2024) found no overall improvement in primary follow-up outcomes in a multisite VA implementation trial. Track outcomes alongside implementation activity.

Read study ↗

Promising, with limitations

Tracking systems need local validation

Aunger et al. (2025) found promising pulmonary-nodule follow-up interventions, while noting substantial bias in many nonrandomized studies and heterogeneous methods.

Read review ↗

An important guardrail

More follow-up is not always better care

Ganguli et al. (2019) describe burdens associated with cascades after incidental findings. Include clinical review, appropriate alternatives, and balancing measures.

Read study ↗

Evidence map: design, contribution, and limits
SourceDesignWhy it mattersKey limitation
Callen et al., 2012Systematic reviewHistorical follow-up failures and variable definitionsOlder, heterogeneous studies
Atlas et al., 2023Cluster randomized trialOutreach comparisonAlready-overdue screening cohort
Coronado et al., 2025Randomized trialNavigation after abnormal stool testingOne health-center organization
Zubkoff et al., 2024Stepped-wedge randomized trialNo overall improvement in primary outcomesVA setting and variable local changes
Varon et al., 2024Systematic review and meta-analysisCervical screening follow-up interventionsMixed designs and outcomes
Aunger et al., 2025Systematic reviewPulmonary-nodule follow-up interventionsHigh bias in many observational studies
Shah et al., 2026Retrospective implementation reportSustained incidental-finding programAbstract-level endpoint verification
Tyler et al., 2023Network meta-analysisTransitions and outcome diversityIndirect comparisons and heterogeneity
Ganguli et al., 2019Physician surveyBurdens of care cascadesSelf-report and recall
Kyle and Frakt, 2021Cross-sectional surveyPatient administrative burdenHistorical self-reported data
Sinnott et al., 2026Qualitative interviewsAccess and digital workloadContext-specific interpretation
IHI and NPSF, 2017Implementation guideReferral process designGuidance, not effect estimation
ASTP/ONC, 2025SAFER implementation guideResponsibility and follow-up safetyGuidance, not dashboard validation
All 13 references and source links
  1. Assistant Secretary for Technology Policy/Office of the National Coordinator for Health Information Technology. (2025). 2025 SAFER guide: Test results reporting and follow-up. Source ↗Official 2025 release page. The linked guide retains August 2024 footers; source version checked October 11, 2026.
  2. Atlas, S. J., Tosteson, A. N. A., Wright, A., Orav, E. J., Burdick, T. E., Zhao, W., Hort, S. J., Wint, A. J., Smith, R. E., Chang, F. Y., Aman, D. G., Thillaiyapillai, M., Diamond, C. J., Zhou, L., & Haas, J. S. (2023). A multilevel primary care intervention to improve follow-up of overdue abnormal cancer screening test results: A cluster randomized clinical trial. JAMA, 330(14), 1348–1358. Source ↗
  3. Aunger, J., Yip, K. P., Dosanjh, K., Scandrett, K., Ungureanu, B., Newnham, M., & Turner, A. M. (2025). Interventions to improve adherence to clinical guidelines for the management and follow-up of pulmonary nodules: A systematic review. CHEST, 168(1), 248–268. Source ↗
  4. Callen, J. L., Westbrook, J. I., Georgiou, A., & Li, J. (2012). Failure to follow-up test results for ambulatory patients: A systematic review. Journal of General Internal Medicine, 27, 1334–1348. Source ↗
  5. Coronado, G. D., Petrik, A. F., Thompson, J. H., Leo, M. C., Slaughter, M., Gautom, P., Hussain, S. A., Mosso, L., Gibbs, J., Yadav, N., Mummadi, R. R., Johnson, E. S., & Jimenez, R. (2025). Patient navigation to improve colonoscopy completion following an abnormal stool-test result: A randomized controlled trial. Annals of Internal Medicine, 178(5), 645–654. Source ↗
  6. Ganguli, I., Simpkin, A. L., Lupo, C., Weissman, A., Mainor, A. J., Orav, E. J., Rosenthal, M. B., Colla, C. H., & Sequist, T. D. (2019). Cascades of care after incidental findings in a US national survey of physicians. JAMA Network Open, 2(10), e1913325. Source ↗
  7. Institute for Healthcare Improvement & National Patient Safety Foundation. (2017). Closing the loop: A guide to safer ambulatory referrals in the EHR era. Institute for Healthcare Improvement. Source ↗
  8. Kyle, M. A., & Frakt, A. B. (2021). Patient administrative burden in the US health care system. Health Services Research, 56(5), 755–765. Source ↗
  9. Shah, R. M., Dehadrai, A., Keshwani, A., Schmitz, B., & Carr, J. C. (2026). Closing the loop: 9-year outcomes of an electronic medical record-based protocol for reporting incidental imaging findings. Journal of the American College of Radiology, 23(1), 45–51. Source ↗Online publication September 3, 2025; January 2026 issue. Abstract reviewed.
  10. Sinnott, C., Ansari, A., Price, E., Horder, K., Alboksmaty, A., Willars, J., Beech, J., Alderwick, H., & Dixon-Woods, M. (2026). Experiences of access to general practice in England: Qualitative study and implications for the NHS 10 year plan. BMJ, 392, e087367. Source ↗
  11. Tyler, N., Hodkinson, A., Planner, C., Angelakis, I., Keyworth, C., Hall, A., Jones, P. P., Wright, O. G., Keers, R., Blakeman, T., & Panagioti, M. (2023). Transitional care interventions from hospital to community to reduce health care use and improve patient outcomes: A systematic review and network meta-analysis. JAMA Network Open, 6(11), e2344825. Source ↗
  12. Varon, M. L., Geng, Y., Fellman, B. M., Troisi, C., Fernandez, M. E., Li, R., Reininger, B., Schmeler, K. M., & Allanson, E. (2024). Interventions to increase follow-up of abnormal cervical cancer screening results: A systematic literature review and meta-analysis. PLOS ONE, 19(2), e0291931. Source ↗
  13. Zubkoff, L., Zimolzak, A. J., Meyer, A. N. D., Sloane, J., Shahid, U., Giardina, T., Memon, S. A., Scott, T. M., Murphy, D. R., & Singh, H. (2024). A virtual breakthrough series collaborative for missed test results: A stepped-wedge cluster-randomized clinical trial. JAMA Network Open, 7(10), e2440269. Source ↗

Research method: targeted narrative synthesis, not a systematic review of all care-completion interventions. Shah et al. (2026) was reviewed at abstract level. Guidance informs process design; it does not validate this dashboard or its scenario model.

From insight to a practical next step

Build a follow-through plan.

Use the current cohort and scenario as a starting point. Check the preparation steps, then download a concise plan for discussion.

Prepare a focused pilot

0 of 6 ready

These checks reflect your preparation choices. They are not an external readiness assessment.

Your current brief

All three pathways

Hypothetical demonstration
200 recommendation episodes
30 unresolved episodes

Current eventual completion: 70%
Scenario eventual completion: 76%
Expected additional late completions: 12
Expected contact workload: 8 hours
Historical on-time rate: 60%, unchanged
Measure the improvement and its tradeoffs. Track verified completion alongside contact workload, unnecessary follow-up, and access barriers. A simple before-and-after change does not establish causation.

Keep the first version focused

Define the cohort

One nonurgent pathway, explicit eligibility, a retained original due date, and enough observation time.

Validate the data

Review flagged and unflagged examples. Check outside care, ownership, duplicate episodes, and missing dates.

Test one operational change

Set responsibility for review, define the contact process, and document balancing measures before judging results.

The Care Completion GapModel design and research: Kelly Emrick, DHSc, PhD, MBA, BSRT(ARRT)R
Evidence reviewed October 11, 2026 · Version 1.0.0
Educational exploration of nonurgent follow-up. No clinical triage or universal deadline.
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