Optimize data quality for exceptional patient outcomes.
Whether you’re implementing a data governs, preparing for a data migration, preparing for business intelligence and analytics, or simply complying with regulation, you can rely on our data quality management solutions.
DICOMATICS offers a solution to monitor and report on issues as they arise, from
missing patient data to duplicate records or noncompliance data.
DICOMATICS experts can perform full data assessment and analyses and provide you with insight into your enterprise data, let us help you incorporate data quality measures and conduct data cleansing.
Data Quality Solutions

Data Assessment
- Full data discovery of one or all systems in the enterprise
- Discover bad data or unusual values
- Find workflow issues and root cause of bad data

Data Cleansing
- Data correction and
improvement - Improve the quality of your patient’s data
- Our experts will assist and
recommend a strategy

Data Monitoring
- Control your data quality with our customized platform
- Monitor your data quality and receive daily alerts if quality drops
- Visual dashboards and reports to see data quality trends over time
- For example, be alert if certain studies are not archived from your PACS to the VNA.
Benefits
- Maintaining high level of data quality
- Increased confidence in your data
- Clinical decisions based on accurate, good quality data
- Improved patient safety and outcomes
- Maximize efficiency of the new PACS
functionality - Reduce risk
Features
- Daily insight into the quality of data
- Ability to adjust and add/remove KPI’s
accordingly to actual needs - Automated email reportssummarized data issues
- Practical guidance provided on how to improve data
- Delivered by experienced experts with years of experience
- Vendor neutral tools and processes
Data Monitoring Solution
DICOMATICS Data Quality tools installed on site and configured to monitor one or more PACS/VNA system, the tool track, analyze, and monitor the quality of the data you use every day and delivers meaningful insights that help you track and eliminate data quality issues.
Data Quality Use Cases:
- Verify mandatory fields are not missing (Name, MRN)
- Verify data format such as MRN, Accession number (length, numeric)
- Validate all date fields are a valid date, such date of birth/study date
- Find duplicate records such as duplicate patients, studies, persons
- Find studies that are not archived to the VNA and reduce risk of data loss
- Find studies that exists in more than one PACS system
Data Integration
Seamlessly connect and monitor data in one or more PACS/VNA that support DICOM interface or any other data source.


Data Quality Check’s
We supply you with out of the box data quality rules and checks for all the basic issues related to mandatory/missing, format/unformatted or duplicate data. Additional rules can be added.
Data Quality Queue
Keep track on all data check’s, reveal the data, and watch the quality trend, collaborate and share your finding with the team.


Dashboard & Analytics
Visual and simple dashboard help you and your team to track and report on the overall quality and health.
“Data quality is the cornerstone of an effective data
governance strategy.”
Data Quality Check’s
We supply you with out of the box data quality rules and checks for all the basic issues related to mandatory/missing, format/unformatted or duplicate data. Additional rules can be added.

Data Quality Queue
Keep track on all data check’s, reveal the data, and watch the quality trend, collaborate and share your finding with the team.

Dashboard & Analytics
Visual and simple dashboard help you and your team to track and report on the overall quality and health.
