Modern cloud data processing and management systems are rapidly being adopted and scaled across the healthcare industry. This has benefits. However, it has also introduces a number of significant administrative and operational issues in many organizations, due to the inability to source and manage consistent, quality data. Tech Republic brought this interesting information to our attention in their article, “Data quality in healthcare: Current problems and possible solutions.”

Effectively managing data quality is particularly important in the healthcare industry. Data quality can directly affect patient outcomes, physicians’ decision-making abilities and more. Improving healthcare data quality is a crucial and ongoing process. Electronic healthcare records (EHRs) and reports are not only heavily governed by strict regulations—such as HIPAA—but also affect physical treatments and policies. They have a very real and tangible impact on people’s lives.

Data needs to be findable, and that happens with a strong, standards-based taxonomyData Harmony is our patented, award winning, artificial intelligence (AI) suite that leverages explainable AI for efficient, innovative and precise semantic discovery of your new and emerging concepts to help you find the information you need when you need it.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, changing search to found.