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 Integrity | MRN / Demographic comparisons to master index, VNA Readiness |
| PACS Data Flow Review | Incoming data flow, data compression (transfer syntax), mapping, un supported objects |
| PACS Consolidation Assessment | Site Profiling to capture key information about one or more facilities whose PACS are being replaced with a central system. (M&A) |
| PACS Archiving Assessment | Determine studies at risk of data loss, Compare PACS data to retention policies, archive speed, storage growth needs |
| PACS Storage Calculation | Storage consumption, impact of data migration, calculate online cache needs to business goals |
| PACS Migration Validation | Validate completion of vendor migration, object level validation |
| Technical Project Representation | Represent client on various projects, data migrations, database updates and cleanup, data integrations (HIS/VNA) |
| Technical Support | DICOM 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 Check | Exceptions |
|---|---|
| Format accession number | 26 |
| Format of Gender | 4 |
| Format of Medical Record Number | 2 |
| Missing accession number | 11 |
| Missing Date of Birth | 3 |
| Missing Gender | 15 |
| Missing Medical Record Number | 6 |
| Missing Name | 2 |
| Missing studies in VNA / or Unarchive studies | 72 |
| Same MRN with different patient name | 18 |
| Same Patient name with different MRN | 33 |
| Duplicate SUID | 0 |
| Duplicate Accession Number | 2 |
| Patients suspected as Test/QA | 29 |
Statistical data that shows yearly distribution of studies and storage utilization
| Year | Studies | Size |
|---|---|---|
| 2000 | 4 | 0.19 GB |
| 2001 | 46 | 1.96 GB |
| 2002 | 1230 | 50.39 GB |
| 2003 | 2433 | 101.9 GB |
| 2004 | 31402 | 1151.24 GB |
| 2005 | 53823 | 2019.07 GB |
| 2006 | 59220 | 2472.44 GB |
| 2007 | 71520 | 3697.22 GB |
| 2008 | 77173 | 4484.3 GB |
| 2009 | 80900 | 4186.2 GB |
| 2010 | 74388 | 3843.71 GB |
| 2011 | 74214 | 4295.25 GB |
| 2012 | 69268 | 4792.2 GB |
| 2013 | 67889 | 4784.75 GB |
| 2014 | 64319 | 4825.01 GB |
| 2015 | 56439 | 4266.54 GB |
| 2016 | 27216 | 2226.45 GB |
| Overall | 811484 | 47198.8 |
Statistical data that shows yearly distribution of studies and storage utilization
| Source system | Modality | Study count |
|---|---|---|
| GE | CR | 417387 |
| GE | CT | 137506 |
| GE | DG | 9 |
| GE | DX | 74 |
| GE | HG | 1 |
| GE | IV | 1 |
| GE | MA | 4 |
| GE | MG | 63314 |
| GE | MR | 52787 |
| GE | US | 90281 |
| GE | XA | 15309 |
Experience With
