Data and Enterprise Imaging Strategy

Data management has become a crucial factor in enterprise imaging strategy. DICOMATICS offers a full suite of data management solutions, data assessments, and consulting. We perform a comprehensive analysis of how your imaging data is stored in each one of the PACS systems across the enterprise. We pull statistical data, examine data quality, and analyze the data in comparison to other systems across the enterprise.

Our Data Assessments services provide

  • Better outcomes
  • Strategic planning
  • Insightful data
  • Informed decisions

We help you gain clarity on which systems will serve you the best, which need improvement or better integration, and which should be replaced.

Vendor Agnostic Solutions

By leveraging our consulting services ahead of making major decisions, we minimize cost and maximize value. We do this by evaluating your legacy systems and planning for your future enterprise imaging needs, as well as supporting your local or enterprise imaging strategy goals.

We help with:

  • PACS Systems Consolidation
  • Implementation of VNA
  • PACS Replacement
  • Mergers & Acquisitions
  • PACS Systems Consolidation
  • Implementation of VNA
  • PACS Replacement
  • Mergers & Acquisitions

Strategic Data Management Partner

With the team at DICOMATICS, you’re not alone. We help your organization make big decisions about imaging data and plan for a solid enterprise imaging strategy with data management solutions.

Beyond core recommendations, our expert team can support the implementation of changes we identify as crucial to your long-term success. Our goal is to empower imaging departments and have our experts available as part of your team.

Enhancing Data Quality

Our experts will work with you to define what data can be enhanced, what key data elements are missing, what duplicate records can be consolidated, and what data anomalies sources there are. Where needed, we can draw data in from various systems such as HIS/RIS/EMR and perform comparison to match the patients in the PACS to a Master Patient Index to insure data integration across the enterprise.

Withextensive experience for problem identification, data cleansing & deduplication, as well as ongoing monitoring & reporting, our experts will help achieve and maintain data quality across the enterprise.

Assessments and Consulting

PACS Data IntegrityMRN / Demographic comparisons to master index, VNA Readiness
PACS Data Flow ReviewIncoming data flow, data compression (transfer syntax), mapping, un supported objects
PACS Consolidation AssessmentSite Profiling to capture key information about one or more facilities whose PACS are being replaced with a central system. (M&A)
PACS Archiving AssessmentDetermine studies at risk of data loss, Compare PACS data to retention policies, archive speed, storage growth needs
PACS Storage CalculationStorage consumption, impact of data migration, calculate online cache needs to business goals
PACS Migration ValidationValidate completion of vendor migration, object level validation
Technical Project RepresentationRepresent client on various projects, data migrations, database updates and cleanup, data integrations (HIS/VNA)
Technical SupportDICOM experts on call to troubleshoot any PACS/VNA/HL7 issues, custom solutions

“Our Data Assessments Empower Decision Makers”

Sample of PACS Data Integrity Assessment

A typical engagement takes 2-4 weeks and will output the following deliverables reports:

Statistics

  • The total number of studies
  • How many studies are performed per year
  • Studies modality distribution
  • Procedure types utilization
  • How much storage is used yearly
  • Growth trends

Quality

  • The total number of studies
  • How many studies are performed per year
  • Studies modality distribution
  • Procedure types utilization
  • How much storage is used yearly
  • Growth trends

Integration

  • Compare data between systems
    • PACS to PACS
    • PACS to VNA
    • PACS to EMR
  • Find duplicates or conflicts
  • Compare to master patient index
  • Compare procedure types among systems

Data Quality report that captures key insights that are defined per project and data is collected per system.

Quality CheckExceptions
Format accession number26
Format of Gender4
Format of Medical Record Number2
Missing accession number11
Missing Date of Birth3
Missing Gender15
Missing Medical Record Number6
Missing Name2
Missing studies in VNA / or Unarchive studies72
Same MRN with different patient name18
Same Patient name with different MRN33
Duplicate SUID0
Duplicate Accession Number2
Patients suspected as Test/QA29

Statistical data that shows yearly distribution of studies and storage utilization

YearStudiesSize
200040.19 GB
2001461.96 GB
2002123050.39 GB
20032433101.9 GB
2004314021151.24 GB
2005538232019.07 GB
2006592202472.44 GB
2007715203697.22 GB
2008771734484.3 GB
2009809004186.2 GB
2010743883843.71 GB
2011742144295.25 GB
2012692684792.2 GB
2013678894784.75 GB
2014643194825.01 GB
2015564394266.54 GB
2016272162226.45 GB
Overall81148447198.8

Statistical data that shows yearly distribution of studies and storage utilization

Source systemModalityStudy count
GECR417387
GECT137506
GEDG9
GEDX74
GEHG1
GEIV1
GEMA4
GEMG63314
GEMR52787
GEUS90281
GEXA15309

Experience With