Built for providers, institutions & ACOs

Where it actually breaks

• Nobody owns quality

  Measure performance belongs to whoever has a spare hour, which means it belongs to nobody.

• Thin margin, full penalty

  The payment adjustment is the same percentage it would be for a large group, against a far smaller cushion.

• Configured once

  The system was set up at go-live and has not been revisited since, while every measure specification has changed.

• Everything competes with patients

  Any hour spent on configuration is an hour not spent in a room, and the room always wins.

This is not a capability problem. It is a capacity problem, and it is solvable with a bounded piece of work rather than a permanent hire.

What we do: Start small, and finish

A small practice does not need all six specifications. It needs the two or three that move its actual score.

A finished small build beats an unfinished comprehensive one. We scope to completion, not to ambition.

Where it actually breaks

• Provider variation

  The same measure is captured three ways by four providers, and the practice average hides which one is the problem.

• Templates built ad hoc

  Each provider has their own. None of them were designed against a measure specification.

• Performance plateau

  Scores improved for two years and then stopped, because the easy gaps closed and the structural ones remain.

• New contract exposure

  A value-based contract was signed on performance the current documentation cannot reliably reproduce.

Variation between providers is the single largest controllable factor in a group this size, and it is invisible in a practice-level number.

What we do: Where the score actually leaks

We baseline at provider level, not practice level, because that is where the variation lives and where it can be fixed.

A provider-level view changes the conversation from exhortation to specifics. That is usually worth more than the build itself.

Where it actually breaks

• Few measures, high stakes

  With a small applicable set, one topped-out or badly chosen measure moves the whole score.

• Specialty-native limits

  The platform is excellent inside the specialty and thin on chronic care, risk adjustment and population health.

• Risk adjustment ignored

  Specialty practices often assume risk adjustment is primary care’s problem, until a value-based contract says otherwise.

• Pathway change

  Specialty reporting pathways keep expanding and being modified, and last year’s reporting strategy may no longer be the best one available.

Depth is the product here. Fewer measures built properly beats a broad build that fits the specialty poorly.

What we do: Depth over breadth

We build fewer things, further. The specialty measure set and the specialty workflow get the full treatment; everything else is scoped honestly.

On a specialty-native platform some of the six specifications do not apply. We will tell you which rather than billing for them.

Where it actually breaks

• Site variation

  Every location adapted the build to local preference, and the aggregate performance is the average of those adaptations.

• No standard to enforce

  There is no written definition of correct documentation, so there is nothing to hold a site against.

• Rollout costs more than the build

  Designing once is cheap. Deploying across fifteen sites with fifteen schedules is where the budget goes.

• Training decay

  The build was trained at go-live. Staff turned over, and the training did not follow.

The deliverable at this scale is a standard plus a repeatable deployment, not a build. The build is the easy half.

What we do: Standard first, build second

We write the definition of correct before anything is configured, so every site has the same target in a system that may differ.

Standardize the output, not the platform. Sites keep the system they use; the organization owns the definition of correct.

Where it actually breaks

• Overlapping measure sets

  UDS, MIPS or APP, payer programmes and accreditation each want a version of the same clinical work, counted differently.

• Manual reconciliation

  The same measure is pulled three ways for three reports, and the numbers do not match.

• Complex population

  Sliding fee, mixed payer, high social need. Measures assume a denominator your population does not resemble.

• Grant calendar

  Work has to land inside a funding cycle, and procurement adds time nobody budgets for.

One structured capture layer can feed every report. Building it once rather than reconciling forever is the whole opportunity.

What we do: Build once, report many

The design goal is one structured capture layer feeding every obligation, rather than a separate build per report.

Where two programmes define a measure differently, we document the difference rather than averaging it. Averaged definitions fail both.

Where it actually breaks

• No administrative access

  Every change is a ticket, and the ticket joins a queue sized for the whole system.

• Enterprise release calendar

  Builds land when the system’s calendar allows, not when the measurement year requires.

• Practice-level accountability

  Your measures are scored at your level while the build that drives them sits with central IT.

• Specification gap

  IT will build what is asked for precisely. Nobody has written down precisely what to ask for.

The missing piece is almost always a build specification written in the system team’s language. That is a thing we produce.

What we do: We design, their team builds

On a governed platform our hours shift from configuration to specification, validation and coordination.

We will tell you honestly which parts of a timeline are ours and which are not. Anyone quoting you a firm go-live on a governed platform is guessing.

Where it actually breaks

• Measure drift

  The same measure is captured three ways across three practices, so the aggregated numerator is wrong before it reaches the registry.

• Unstructured capture

  The clinical work happens. It lands in free text, which no registry can read and no measure can count.

• Documentation variance

  One practice drags the composite down and nobody can see which until the submission window has closed.

• Risk score erosion

  Specificity habits built for the old model no longer carry weight, and the gap now shows at full size.

None of this is a reporting problem. It is a documentation architecture problem that only becomes visible at reporting time.

What we do: What happens where

One standard, many builds. The network owns the definition of correct; each practice gets it implemented in the system it actually uses.

We standardize the output, not the platform. Nobody is asked to change EHR.

Where it actually breaks

• Five-Star quality measures

  The quality measure domain of the Care Compare rating draws on MDS assessments and claims, so MDS accuracy and timing show up directly in the public rating.

• SNF Quality Reporting Program

  Incomplete QRP data reduces the facility’s annual Medicare payment update, regardless of the care actually delivered.

• SNF Value-Based Purchasing

  A share of Medicare Part A payment depends on performance and improvement on the program’s measures, including readmissions.

• Avoidable hospitalizations

  Transfers and readmissions harm residents and scores alike, and they often trace back to gaps at handoffs with hospitals and the practices that follow residents.

The measures differ from a practice’s, but the problem is familiar: the care happens, and the data and workflows don’t capture or sustain it.

What we do: Quality systems built around the MDS and the handoff

We apply the same Access → Design → Execute → Monitor method to the facility’s measures, data and workflows.

We don’t promise a star rating. We build the processes that make performance measurable and repeatable.