Dialysis market capacity gap scan

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# Dialysis market capacity gap scan

For one state or metro. New units win where the population is ageing, the nearest units rate poorly and nurses can be hired at a workable wage.

## 1. Map the incumbents

1. Pull @[CMS Care Compare · Dialysis facilities](alexandria:data-cms-gov/clinician-procedure-volume/dialysis_facilities) by state or city: name, **CCN**, star rating, modalities (in-centre, home, peritoneal), address.
2. For low-star facilities and the largest units, read @[CMS Care Compare · Dialysis facility](alexandria:data-cms-gov/clinician-procedure-volume/dialysis_facility) for outcomes versus expected (hospitalisation, readmission, mortality).

## 2. Size the demand

3. Resolve counties with @[Census · Geographies](alexandria:census-gov/census/geographies) and pull @[Census · Data](alexandria:census-gov/census/data) (acs/acs5) for total population and population 65 and over. Compute residents 65+ per facility.

## 3. Check the referral base and staffing

4. Count nephrologists per county with @[NPI Registry · NPI search](alexandria:npiregistry-cms-hhs-gov/providers/search) using the nephrology taxonomy and state.
5. Price staffing with @[ZipRecruiter · Salary](alexandria:ziprecruiter-com/jobs/salary) for dialysis nurse in the main city of each candidate county, and count openings with @[ZipRecruiter · Search jobs](alexandria:ziprecruiter-com/jobs/search_jobs).

## Write the scan

- **County table:** residents 65+, facilities, residents 65+ per facility, average stars, nephrologists, nurse pay, open nurse roles.
- **Targets:** top three counties with the reason (under-served, weak incumbents, or both).
- **Watch-outs:** counties where staffing pay or openings suggest a hard hire.
- **Caveats:** facility counts are not station counts; CMS data lags.
- **Sources:** cite CCNs and Census tables. Say what could not be found.

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