Stop inheriting broken reporting data
Stop inheriting broken reporting data
Stop inheriting broken reporting data
By the time reporting data reaches quality, it has often already been through manual entry, scanned notes, attachments, and local workarounds. Attunement helps structure that information earlier, so your team starts with cleaner records and spends less time reconstructing what should already be usable.
By the time reporting data reaches quality, it has often already been through manual entry, scanned notes, attachments, and local workarounds. Attunement helps structure that information earlier, so your team starts with cleaner records and spends less time reconstructing what should already be usable.
More usable data, earlier
Instead of waiting until the reporting cycle to find and normalize the data, your team gets a cleaner starting point upstream.
Less manual compilation
Documents are uploaded, reviewed, and structured earlier in the workflow, which reduces the scramble before deadlines.
Better confidence in source data
Versioned records and source tracking make it easier to understand where the data came from and what changed.
More consistency across sites and staff
A more standardized front-end workflow makes downstream reporting less dependent on local habits.
How it works
Move structure earlier in the workflow, so quality teams spend less time cleaning data
Move structure earlier in the workflow, so quality teams spend less time cleaning data
Move structure earlier in the workflow, so quality teams spend less time cleaning data
Intake and outside records enter a structured workflow
Intake and outside records enter a structured workflow
Patient intake, caregiver forms, and outside records are collected digitally or uploaded into one system instead of living across email threads, scans, and local folders.
Patient intake, caregiver forms, and outside records are collected digitally or uploaded into one system instead of living across email threads, scans, and local folders.
Documents are identified and organized for review
Documents are identified and organized for review
Attunement identifies document sections and page ranges so staff can review what was found before extraction moves forward.
Attunement identifies document sections and page ranges so staff can review what was found before extraction moves forward.
Key information is extracted into structured data
Key information is extracted into structured data
After review, relevant data from supported documents is extracted into a standardized format that is easier to query, compare, and use downstream.
After review, relevant data from supported documents is extracted into a standardized format that is easier to query, compare, and use downstream.
Quality teams work from a stronger record
Quality teams work from a stronger record
Instead of beginning the reporting cycle with a cleanup project, your team starts with records that are more organized, more consistent, and easier to stand behind.
Instead of beginning the reporting cycle with a cleanup project, your team starts with records that are more organized, more consistent, and easier to stand behind.
What This Looks Like in Practice
What This Looks Like in Practice
What This Looks Like in Practice
Quarterly reporting cycle
Quarterly reporting cycle
Without Attunement
Key fields are spread across PDFs, scanned notes, and attachments
Staff spends days or weeks compiling data before analysis can begin
Quality measures are produced from records the team had to manually reconstruct
With Attunement
Source documents are already uploaded and organized
Supported data has moved through a structured review and extraction workflow
The reporting cycle starts from a cleaner operational baseline
Quarterly reporting cycle
Without Attunement
Key fields are spread across PDFs, scanned notes, and attachments
Staff spends days or weeks compiling data before analysis can begin
Quality measures are produced from records the team had to manually reconstruct
With Attunement
Source documents are already uploaded and organized
Supported data has moved through a structured review and extraction workflow
The reporting cycle starts from a cleaner operational baseline
Without Attunement
The team is asked to produce records across programs or sites
Staff has to pull documentation from multiple systems and attachments
Preparation time goes to retrieval, sorting, and reconciliation
With Attunement
Records are more organized at the point of intake and upload
Versioned data and source tracking improve traceability
Staff can spend more time reviewing the record and less time reconstructing it
Audit preparation
Audit preparation
Audit preparation
Without Attunement
The team is asked to produce records across programs or sites
Staff has to pull documentation from multiple systems and attachments
Preparation time goes to retrieval, sorting, and reconciliation
With Attunement
Records are more organized at the point of intake and upload
Versioned data and source tracking improve traceability
Staff can spend more time reviewing the record and less time reconstructing it
Audit preparation
Cross-clinician quality review
Cross-clinician quality review
Without Attunement
Documentation varies widely by clinician or site
The QI team has to normalize records before comparing trends
Downstream analysis is slowed by inconsistent inputs
With Attunement
Data enters through a more consistent workflow
Supported documents are reviewed and structured in a standardized way
Program-level review starts from more comparable records
Cross-clinician quality review
Without Attunement
Documentation varies widely by clinician or site
The QI team has to normalize records before comparing trends
Downstream analysis is slowed by inconsistent inputs
With Attunement
Data enters through a more consistent workflow
Supported documents are reviewed and structured in a standardized way
Program-level review starts from more comparable records
Without Attunement
Teams request data from multiple people and locations
Numbers are compiled manually from inconsistent source records
Confidence in the final output depends on how much cleanup happened before submission
With Attunement
Records are more structured as documentation comes in
The reporting team has a better starting point for aggregation
Outputs are easier to trace back to the underlying record
Grant or program reporting
Grant or program reporting
Without Attunement
Teams request data from multiple people and locations
Numbers are compiled manually from inconsistent source records
Confidence in the final output depends on how much cleanup happened before submission
With Attunement
Records are more structured as documentation comes in
The reporting team has a better starting point for aggregation
Outputs are easier to trace back to the underlying record
Grant or program reporting
Without Attunement
Teams request data from multiple people and locations
Numbers are compiled manually from inconsistent source records
Confidence in the final output depends on how much cleanup happened before submission
With Attunement
Records are more structured as documentation comes in
The reporting team has a better starting point for aggregation
Outputs are easier to trace back to the underlying record
Grant or program reporting
Still spending each reporting cycle cleaning up someone else’s documentation process?
Still spending each reporting cycle cleaning up someone else’s documentation process?
f your team is inheriting unreliable records, manual extraction work, and deadline pressure every cycle, the problem is upstream. That is the part Attunement is built to improve.
f your team is inheriting unreliable records, manual extraction work, and deadline pressure every cycle, the problem is upstream. That is the part Attunement is built to improve.