The Power of Data Quality

The quality of data is important regardless of the industry. In healthcare, it can literally save lives. This topic was brought to us from MobiHealth News in their article, “‘The value of AI is directly proportional to the data quality that you can access‘”.

The COVID-19 pandemic highlighted the ways data integration can make a significant contribution and help to increase the quality of decision-making based on data.

As healthcare organizations are relying more on technologies and datasets to drive forward patient pathways, digital health indicators are more important than ever.

Improving data quality in healthcare begins by understanding the core tenets of data quality management, the value it offers and some of the most common problems to avoid. Recognizing the characteristics of good data quality and understanding where it is headed in the near future, will help any healthcare organization master data quality.

Effectively managing data quality is particularly important in the healthcare industry. Electronic healthcare records and reports are not only heavily governed by strict regulations, but also affect physical treatments and policies. They have a very real and tangible impact on people’s lives.

Melody K. Smith

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.

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Melody Smith

Melody K. Smith has provided organizational, social media and digital communication services to a large non-profit for the past twenty years. Prior to that she championed employee engagement and communications in the healthcare field. She holds a Bachelors degree in Marketing. When not wrangling and writing TaxoDiary content for your reading pleasure, Melody writes fiction, rescues dogs and throws legendary dinner parties.