Data Quality is a Journey Not a Destination According to Clinical Architecture

Data quality is not a destination. It is a journey or perhaps a state of mind according to Clinical Architecture. There is risk in treating good data quality as a destination because what constitutes good quality today may not be sufficient for future needs. Data must be continuously improved, audited, and refined. Clinical Architecture has created a data quality journey map that helps its clients get started and continue pushing for improved data quality. We spoke with Charlie Harp, CEO of Clinical Architecture via email about the data quality journey and what it’s implications are for healthcare organizations. 1. In the past you have talked about the cost of poor-quality data in healthcare. Is that all opportunity cost or are there real hard-dollar costs that we should be aware of? The opportunity costs are real. Organizations don’t want their expensive human clinical resources engaged in repetitive, task-specific data cleansing projects, collecting data manually in spreadsheets. Using best practices, great software, and automation that accelerates your data collection, creation, enrichment, and normalization allows you to redirect those resources to initiatives worthy of their knowledge and training. That being said, there are a few categories of hard-dollar returns when it comes to having an ecosystem that cultivates high-quality data. The first is the cost most people don’t talk about. This is the time and expense necessary to make your data usable. When fa...
Source: EMR and HIPAA - Category: Information Technology Authors: Tags: Analytics/Big Data Clinical Health IT Company Healthcare IT Interoperability Charlie Harp Clinical Architecture Health Data Analytics health data journey health data journey map Health Data Quality Healthcare Data Quality HIMSS H Source Type: blogs