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VITLBlueprint for Health. Quality Data, Quality Patients. Reasons for Good Data. “Without good data, healthcare systems simply cannot accurately measure and assess performance. …the practice of continuous measurement and public reporting creates a feedback loop that improves patient care .”

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vitl blueprint for health

VITL\Blueprint for Health

Quality Data, Quality Patients

reasons for good data
Reasons for Good Data

“Without good data, healthcare systems simply cannot accurately measure and assess performance. …the practice of continuous measurement and public reporting creates a feedback loop that improves patient care.”

-National Quality Forum, The ABCs of Measurement

data quality facts
Data Quality Facts

Quality data is:

  • Accurate
  • Complete
  • Timely
  • Actionable
data quality facts1
Data Quality Facts
  • The quality of the data in your source system affects the information sent to the reporting entities.
  • Quality data can reduce duplicative effort and enhance reporting and outreach.
data quality facts2
Data Quality Facts

Bad data:

  • Can affect quality of care
  • Increase costs
  • Put organizations in liability risk
better health is the goal
Better Health is the Goal
  • Improve health outcomes by providing the highest quality care
  • Objectively see where care deviates from clinicians’ intentions
  • Collect data at the point of care in the EMR
  • Feed data into statewide registry so practices can benchmark against peers
  • Identify who is doing well so organizations can share best practices
better health is the goal1
Better Health is the Goal

How do we know that care is improving, and that health is getting better?

We need to measure it. Measurement isn’t the goal; better health is.

- Dr. Kevin Larsen, HHS

registries and external reporting
Registries and External Reporting

The Health Information Technology structure in Vermont is designed to help practices with reports for:

  • The Vermont Blueprint for Health
  • Meaningful Use Measurement/Reporting
  • ACO Patient Records
  • Uniform Data System
  • Physician Quality Reporting System
  • National Committee for Quality Assurance
  • The Birth, Death, & Immunization Registry
  • Public Health Reporting
data flow from practice to registry
Data flow from Practice to Registry

Vermont Blueprint for Health

VITL - Vermont Health Information Exchange (VHIE)

Practice views reports in DocSite

Practice enters patient data into EHR/PM System








Vermont Department of Health


VXU*: Future Data Flow

data flow from practice to registry1
Data flow from Practice to Registry
  • Accurate
  • Up-to-date
  • Complete
  • Highest Quality

Practice enters patient data into EHR/PM System



benefits of clean data
Benefits of Clean Data
  • Expedite clinical decision making
  • Prevent duplication of patient records
  • Achieve Meaningful Use
  • Enhance efficiency
  • Reduce costs
  • Heighten accuracy of reports
  • Increase amount of information transferrable to other systems
  • Ensure accuracy within patient charts
  • Improve outreach
  • Enhance the use of patient portal and consumer access
common data quality challenges
Common Data Quality Challenges

Provider Panel

Patient Attribution



Active/Inactive Status

Deceased Management



Clinical Data Issues

Patient Matching



provider panel challenges




Provider Panel Challenges
  • Inactive providers are still ACTIVE in source system.
  • Downstream systems do not know that providers are not inactive or that new providers have been assigned.
  • NPI is not exported with Provider information, causing incomplete data.
  • Fake providers are created for Out-of-Town patients and then exported cause confusion.
  • Workflow or system does not allow the practice to deactivate a provider or add a new provider.
  • Review panel and remove inactive providers.
  • Notify downstream systems of new or inactive providers.
  • Verify with VITL/vendor that NPI is exported in interface.
  • Determine how a fake provider is affecting the downstream system. Replace it with a standardized provider type.
  • Workflow or system does not allow the practice to deactivate a provider or add a new provider.
  • Ensures that practices are paid for active providers, and do not receive payment for inactive providers.
  • Allows there to be a synchronous accounting of providers.
  • Facilitate the transition of  patients to the correct provider, ensuring that patient panel reports are accurate and actionable within the practice.
patient attribution challenges1
Patient Attribution Challenges

Patients no longer actively receiving care are not marked Inactive

Vacationers only seen once are marked Active

Patientsare notassigned to a PCP

Patients are attributed to providers who are no longer with the practice

System has attribution besides PCP, such as Other Responsible Provider

patient attribution challenges2
Patient Attribution Challenges

Mark patients who have not been seen for 3 years Inactive

Develop a system to mark patients who are temporary as Inactive

Assign all patients a PCP and ensure that field is included in exports

Ensure that the Patient and Provider panels in the EMR are correct

Ensure export fields and mapping in the interface are correct

patient attribution challenges3
Patient Attribution Challenges

Accurate panel management reports and quality improvement measurements for the practices

Properly assigned patients and providers in patient attributions

Practices receive entire and correct payments

active and inactive patient status
Active and Inactive Patient Status

Understand requirements in both source and downstream systems for Activating / Inactivating patients and synchronize.

Different rules apply to Active patient status.

Sites that provide both primary and specialty care may have patients who are Inactive within a practice and Active in the organization.

Check with your organization regarding how to Inactivate a patient in one practice without doing so in other practices.

A patient is marked Inactive in the source system, but the EHR does not transfer an inactive flag.

Ensure that status flag on your system is passing onto the next system.

deceased patient status
Deceased Patient Status
  • Practices are not aware of patient’s death.
  • Providers are not pulling panels containing deceased patients, thus avoiding the very unfortunate situation where they are contacting the families of the deceased.
  • The Vermont death registry can supply a monthly list of people who die. Covisint can supply this information to practices in an Excel spreadsheet to be sorted by location.
  • Many practices rely on obituaries for death information.
  • Multi-practice sites need to mark deceased at parent source system or the data may be over-written in the organization.
  • Work with VITL to determine if your export supports a deceased indicator. If not supported, report to down-stream systems.
  • Also essential for proper measurement, evaluation, and payment purposes.
  • Exports do not always support deceased indicator.
clinical data challenges
Clinical Data Challenges
  • EHR, labs, and other external sources use different codes.
  • Use discrete fields or drop-down menus whenever possible. Free text fields do not capture discreet data.
  • Ensures that reports and exported information is actionable by providers.
  • Some free text, delimiters, and combination fields in are not exportable.
  • Limit the use of customized fields.
  • Customized data often do not pass in exports.
  • Ensures that the best quality care can be provided.
  • Customized EHR fields are producing non-standard results.
  • Essential for analysis and evaluation of the program and practice.
  • Auto-fill used where more or different detail is needed.
  • Ensure that numeric values are used in discrete fields where calculations may be required.
  • The EHR treats discrete numeric fields as text.
patient matching challenges


Patient Matching Challenges

Partial data is used to create a patient record

Middle initial inconsistently provided

Dummy names cause false positive matches

Cell phone and home phone interchanged

Invalid city-state-zip combination used

Social Security Number not always used


Understand patient match-ing in multiple systems

Establish a process to ensure proper data collection

Establish a policy of intermediate naming

Establish a process for proper phone # collection

Use drop-down menus for location information

Force numeric values where calculations may be required


Informed, impactful decisions at the point of care

Patient’s comprehensive medical history and set of conditions

Panel management reports have all information for patient outreach

data quality sprints
Data Quality Sprints
  • Data quality sprints are used to clean up data within the host EMR or in the process of transmitting data to the Vermont Health Information Exchange or statewide registry.
  • All involved parties commit to working together and attending weekly meetings to review progress.
  • Participation from the practice or health system, VITL, Covisint/DocSite are essential to promote real time problem solving and immediate action.
  • The end result is better quality data in the EMR and registry, which leads to accurate actionable reports coming from either system.
who can help
Who Can Help?

Sprint Teams

  • Contact the BP Project Manager/Practice facilitator or call the BP office

e-Health Specialist

  • Contact VITL

Registry Managers

  • Contact the specific registry coordinator. If you do not have this information, contact VITL.