What is one effect of the lack of data standardization?

The effect of the lack of data standardization is a hindrance to accurate data exchange. When data is not standardized, it can lead to inconsistencies in how information is recorded, stored, and transmitted across different health information systems. This lack of uniformity makes it challenging for healthcare providers, systems, and institutions to effectively share and interpret data.

For example, if one organization uses different terminologies or formats for the same data elements, it can create confusion and errors when attempting to exchange patient records or clinical data. As a result, the ability to achieve seamless interoperability among health information systems is compromised, which can ultimately impact the accuracy and integrity of care provided to patients.

Thus, standardization becomes essential in ensuring that all stakeholders speak the same "language" when it comes to health information. In contrast, improved patient care, ease of data analysis, and better regulatory compliance generally rely on accurate and reliable data, which underscores the impact of standardization in facilitating these positive outcomes.