Telehealth Visits After Shoulder Surgery: Higher Patient Satisfaction and Lower Costs
Bibliographic record
Abstract
INTRODUCTION: Studies comparing the cost of in-person and virtual care are lacking. The goal of this study was threefold (1) to compare the cost of telemedicine visits with in-person clinic visits after common shoulder surgeries, (2) to measure the safety, and (3) to evaluate patient experience with telemedicine visits. METHODS: The In-Person Visit cohort (N = 25) and the telemedicine cohort (Virtual Visit cohort, N = 24) were selected from patients undergoing routine follow-up of common shoulder procedures. Time-driven activity-based costing was used to determine costs associated with each episode of care. Patient complications, satisfaction, convenience, and technical difficulties associated with telehealth were recorded. RESULTS: The average Virtual Visit was 54.1% less costly and 87.8% shorter than the In-Person Visit ($49 versus $107 per patient, 8.6 versus 70.1 minutes per patient, P < 0.01, respectively). One complication was missed in the Virtual Visit cohort, later captured by an in-person visit. All patients in the Virtual Visit cohort reported that the virtual visit was safe and convenient and showed high levels of satisfaction. DISCUSSION: Virtual visits for postoperative care of patients undergoing shoulder surgery are associated with decreased costs and high ratings of convenience and satisfaction. Postoperative complications may be more challenging to diagnose virtually.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".