Data quality in healthcare and the elusive digital twin
Explore the challenges of data quality in healthcare and how to navigate unstructured data for more accurate “digital twins.”
Explore the challenges of data quality in healthcare and how to navigate unstructured data for more accurate “digital twins.”
During this panel discussion, experts delve into strategies and best practices for efficiently managing and utilizing value set data to enhance the quality of patient care, streamline healthcare operations, and support informed decision-making.
The CDC has advanced national health threat surveillance via the Data Modernization Initiative (DMI), but there’s still room for progress.
Built on industry-leading clinical terminology, IMO solutions ensure clinical data quality and integrity from patient to population.
Clinical informatics struggles? A data quality manager might be the answer.
Learn how 5 industries overcame their unique barriers to data quality and how their approaches could help healthcare to solve similar challenges.
At the beginning of a new year, it’s only natural to both reflect on past achievements and wonder: What comes next? But where healthcare is concerned, the answer to that question is often deeply dependent upon an organization’s access to high quality, actionable data.
Standardizing meds and labs data can benefit both your organization and healthcare as a whole – but the task can be challenging.
Data quality in healthcare isn’t a new topic – but ways to ensure excellency are always improving. Here are some takeaways from the OHDSI symposium.
In this important webinar, we speak to leaders who are focused on increasing the confidence clinicians have in their organization’s data so that they ultimately feel safe making decisions based off of that information.
Explore ways to help increase the quality of clinical data and discuss how others in the healthcare space create interoperable information that more effectively supports goals like patient safety, reimbursement, and population health.
Ensuring data quality in healthcare is an important task – yet difficult to accomplish. Our webinar series on data normalization is here to help.