Healthcare data analysis

Healthcare data,
made legible.

Wes Little turns public claims, cost reports, and quality files into answers operators, investors, and clinicians can act on.

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The premise

The data already exists. Almost no one reads it.

Medicare publishes claims, cost reports, star ratings, and utilization down to the individual provider. Most of it sits in flat files that teams never open. I open them, join them, and turn them into something you can decide on.

0%
Of the source data is public and free to use
$0
What most operators spend reading it today
1
Analyst who actually joins it end to end
What I do

From raw public files to decisions.

01

Data engineering

Pull, clean, and join CMS and public datasets into one queryable source of truth, refreshed as new files drop.

02

Analysis

Quality, cost, market, and referral patterns, quantified and pressure tested until the story holds up.

03

Visualization

Dashboards, sites, and decks people actually use, not screenshots that rot inside a shared drive.

04

Advisory

Read the map with you, weigh the tradeoffs, and decide where the next move should go.

The numbers are real

A field worth reading.

Every figure below comes from public CMS and MedPAC reporting. No estimates dressed up as facts.

$0T
US health spending
CMS NHEA, 2023
0%
Share of US GDP
CMS NHEA, 2023
0M
Medicare beneficiaries
CMS Fast Facts, 2024
0
Home health agencies
Statista / CMS, 2023
0M
Hospice patients served
MedPAC, 2023
$0T
Projected spend by 2032
CMS OACT projection

US national health expenditure

HistoricalCMS projection
Totals in trillions of dollars, rounded. Historical 2019 to 2024 and CMS Office of the Actuary projection to 2032.
How it works

Four steps. No black boxes.

01

Source

Start from primary public files. Claims, cost reports, provider rosters, quality measures.

02

Model

Clean and join it into one structured base you can query and trust.

03

Analyze

Find the pattern, size it, and stress test it against what you already know.

04

Ship

Deliver a site, dashboard, or deck built to be used, with the sources shown.

If a decision touches Medicare, there is public data that should inform it. Usually no one has looked.

Who

Wes Little.

I build healthcare data systems and the analyses that ride on top of them. My work lives in home health, hospice, and post acute care, where the public data is rich and rarely used well.

Healthdata.click is where that work lives. If you have a question the public record can answer, I can usually get you there faster than you expect.

CMS claimsCost reportsQuality measuresReferral patternsMarket sizing
WL
HEALTHDATA.CLICK

Have a dataset worth reading?

Bring a question, a hunch, or a pile of files. I will tell you what the public data can and cannot say.

Start a project or reach me at littlelw@gmail.com