Did you know that approximately one-third of all the data in world is created by the healthcare industry and that medical imaging data comprises 90% of all the medical data worldwide?
Most healthcare leaders believe that data utilization is one of their top business needs, but the data their organizations collect goes unused. That is because managing data can be extremely difficult and is often viewed as a burden when it could be an asset to the entire organization.
Harnessing the power of that data, including medical imaging data, starts with data standardization so it can be useful for all stakeholders.
By investing in an artificial intelligence-powered data management application for radiology, a healthcare facility can realize numerous benefits.
Imaging Data Challenges
Healthcare IT and project management teams face a unique set of data challenges when it comes to prioritizing projects.
Managing data can create numerous challenges and hurdles when healthcare professionals look to improve their operational efficiency, differentiate themselves, enhance their revenue streams, and find new ways to leverage their data.
Because of increased workloads, many organizations are understaffed and do not have the manpower or time to process the data. When looking for new data solutions, cost-effectiveness is key to getting the most out of limited budgets.
Constantly changing priorities and communication between stakeholders in an organization also can create challenges. Another issue is the quality of the data may not be acceptable or consistent at all levels of an organization. Compliance and interoperability issues also can be problematic.
To get the most out of your data, it needs to work for everyone in the organization. The data needs to be meaningful and useful and have an actual impact on the business. The right solution to these data challenges must be interoperable, easy to implement and use, and have proven ROI. It also should be innovative, secure, scalable and accessible remotely or by using mobile technology.
The Power of Artificial Intelligence
Data standardization can address many of these challenges. It is the first step to using and realizing value from many years of medical imaging data.
Enlitic® can help maximize the potential of your healthcare data using the power of artificial intelligence.
By standardizing your data, you can anonymize, enhance the quality and realize the value of your medical imaging data.
Enlitic has developed an intelligent data platform that elevates the quality of imaging data and orchestrates critical workflows to ensure seamless integration and utilization of data across a healthcare system.
The mission of Enlitic’s experienced and qualified team is to empower healthcare providers with the transformative capabilities of artificial intelligence. Enlitic offers a comprehensive solution that addresses quality issues but also unlocks value in existing data for healthcare systems.
Users need to be able to control their data and not be at the mercy of a vendor. They want to be able to effectively use the data the way they want and need to for their business.
Artificial intelligence has advanced capabilities to improve data quality. It’s not always about triage and disease detection, it is about improving often-overlooked workflows, enhancing the metadata and integrating seamlessly across the system.
There can be many different obstacles to standardizing data, but to yield useful results, here are several issues that must be taken into consideration:
- Completeness: Are all data fields present and filled out?
- Correctness: Is the data field accurately reflecting the real-world?
- Consistency: Is the same data labeled the same way?
- Validity: Is the data actually realistic?
- Timeliness: Is the data up-to-date and available when needed?
- Integrity: Is the data uncorrupted and accessible?
Make Your Data Work for You
One of the medical imaging solutions developed by Enlitic is ENDEX™. It can standardize your data and improve workflows to help make your radiology department more efficient and reduce some of the routine tasks.
ENDEX standardization improves data quality by looking at the correctness, completeness and consistency of the data, thus increasing its value and potential use.
ENDEX uses computer vision and natural language processing to map DICOM and metadata to consistent and standardized study descriptions enabling consistent hanging protocol displays, accurate data routing, improved billing capabilities and helping administrative staff reclaim time from fixing hanging protocols or searching for studies.
This tool can enrich the data for research or monetization strategies, and with data that is standardized and clinically relevant, data analysis becomes much easier. It provides a comprehensive solution to a radiology department’s data governance issues, allowing for more efficient workflows, improved data quality, and enhanced value for research or monetization.
It can help ensure consistency by looking at metadata and pixel data to determine if the same nomenclature is used at the study/series level of images. It also enhances completeness by filling in missing data fields based on the inference it makes from reviewing the image data.
To make sure everything is correct, ENDEX will review pixel and metadata and compare it against the fields and identify if there are any discrepancies. It also will look at the data and determine if it can review the body part and imaging parameters, inferring a description from that data and identify any studies/series that it can’t determine. ENDEX fits into the workflow from a variety of areas based on the requirements of the operation.
Finding the Right Solution for Your Organization
Data standardization is the first step to improving data quality. By ensuring complete, accurate information, all other data utilization tasks become much easier. High quality data forms the foundation for data analysis, data sharing and data monetization. Enlitic’s data standardization solution forms the basis for any data strategy healthcare organizations are looking to undertake.
By leveraging the power of artificial intelligence, healthcare professionals can gain unique and comprehensive insight into their existing information within their data which can lead to more informed decisions and improved patient outcomes. This not only addresses data quality issues, but it also has the potential to create new revenue streams for an organization.
It is important to remember, that artificial intelligence is a powerful tool in radiology, but it is not a replacement for human expertise and judgment. It complements and augments the skills of radiologists, enhancing their capabilities and ultimately benefiting patient care.
To learn more about the different data solutions that Enlitic offers, go to enlitic.com.
July 24, 2024 
