Calculator Inputs
Educational estimator only. It supports scenario comparison, not diagnosis, discharge approval, coding, or reimbursement decisions.
Example Data Table
| Patient | Age | LOS | Prior Adm. | Comorb. | Meds | Modeled Probability | Band |
|---|---|---|---|---|---|---|---|
| A | 42 | 2 | 0 | 1 | 4 | 5.3% | Low |
| B | 67 | 5 | 1 | 3 | 8 | 34.6% | Moderate |
| C | 73 | 6 | 1 | 4 | 10 | 55.5% | High |
| D | 78 | 8 | 2 | 4 | 11 | 90.4% | Very High |
| E | 84 | 11 | 3 | 6 | 14 | 97.9% | Very High |
These rows are illustrative examples for testing the calculator interface and score logic.
Formula Used
Composite weighted score = sum of points from age, stay length, prior admissions, comorbidity count, medication load, emergency status, ICU stay, lab instability, mobility, discharge support, follow-up delay, and missed follow-ups.
Estimated probability = 100 / (1 + e-z)
Where z = -3.2 + 0.045 × weighted score + 0.25 if prior admissions are at least 2, plus 0.20 if the admission was emergent and discharge support is absent.
- Older age and longer stays add more points.
- Repeated recent admissions sharply increase the score.
- Delayed follow-up, unstable labs, ICU care, and weak home support raise modeled risk.
This is a simplified educational model. It is not a validated medical prediction rule and must not replace clinical judgment or local protocols.
How to Use This Calculator
- Enter the patient age and length of stay.
- Add recent hospital utilization and the comorbidity count.
- Enter medication load at discharge.
- Select whether the admission was emergent, included ICU care, or had unstable labs near discharge.
- Choose mobility status and discharge support level.
- Enter the expected days until follow-up and note missed prior follow-ups.
- Press Calculate Risk to view the probability, band, top drivers, and graph.
- Use Download CSV or Download PDF for reporting or scenario comparisons.
Frequently Asked Questions
1) What does this calculator estimate?
It estimates a modeled chance of hospital readmission using weighted non-diagnostic inputs such as stay length, recent admissions, support gaps, and follow-up timing.
2) Is this a validated clinical prediction tool?
No. It is an educational estimator built for scenario testing and reporting. It should never replace clinician judgment, official care pathways, or validated institutional tools.
3) Which inputs usually raise risk the most?
Repeated recent admissions, ICU stay, absent support, severe mobility limits, unstable labs, longer stays, and delayed follow-up usually contribute the largest point increases.
4) Why can similar patients produce different results?
Small differences in follow-up timing, mobility, discharge support, or recent admissions can meaningfully shift the weighted score and the final probability estimate.
5) How should follow-up timing be entered?
Enter the number of days between discharge and the planned outpatient review. Shorter follow-up windows reduce points, while long delays increase modeled risk.
6) Does this replace discharge planning review?
No. Use it to support discussion, compare scenarios, and highlight possible pressure points. Final planning still needs patient-specific assessment and clinical oversight.
7) Can I export the results?
Yes. The calculator includes CSV export from the server and PDF export in the browser, making it easier to document score snapshots and input assumptions.
8) What should I do with a high score?
Treat it as a review signal, not an instruction. Recheck the inputs, identify major drivers, and discuss discharge coordination, follow-up scheduling, and support needs.