Health Language Blog

Webinar Recap: Code Groups – The Building Blocks for Your Analytic Initiatives

Posted on 02/08/16 | Comments

Code groups and analytics initiatives—the two go hand-in-hand. Healthcare organizations are increasingly realizing that effective management of code groups (also known as value sets) is imperative for aligning with healthcare’s Triple Aim and positioning within the value based landscape.

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Topics: code groups

Webinar Recap: Code Groups - The Building Blocks for Your Analytic Initiatives

Posted on 12/11/15 | Comments

 

Whether you’re providing patient care or managing coding and patient data, you have no doubt felt the impact of managing code groups on your day-to-day responsibilities, whether you know it or not. The use of code groups, otherwise known as value sets, is becoming a necessity for healthcare providers – but the technology to manage them is only now just beginning to catch up with the need.  

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Topics: code groups

Establish a Governance Process with Your Data Normalization Solution

Posted on 12/08/15 | Comments

In our last blog, we discussed selecting your first project to use for data normalization. A healthcare provider or payer pursuing a normalization project must establish a governance process to ensure the organization doesn’t revert to a chaotic data state. This post discusses the creation of a solid governance structure that preserves your investment in good data. 

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Topics: data normalization

Prioritize Your Data Normalization To-Do List with an Impact Anaysis

Posted on 10/14/15 | Comments

Welcome back!  So you have:

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Topics: data normalization

Identify Constraints that May Impact your Data Normalization Plan

Posted on 09/24/15 | Comments

At this point in the integration of your data normalization solution, the project team has a strong executive sponsor and has assessed the healthcare organization’s data normalization needs. So far so good. Now it’s time to identify the constraints that might hinder the normalization initiative. Those constraints will determine the pace of the project and highlight areas in which additional planning will be required to overcome obstacles.

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Topics: data normalization

Why LOINC Promotes Semantic Interoperability

Posted on 09/17/15 | Comments

With such a strong industry-wide focus on the need to meet meaningful use standards, it’s easy to forget that terminology standardization has value for a provider beyond the big-picture goals of regulatory bodies. This is certainly true in the case of LOINC®, the standardized terminology used for reporting laboratory results.

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Topics: LOINC

The Importance of Taking an Inventory of Your Data Normalization Needs

Posted on 08/28/15 | Comments

In a previous blog post, I discussed the importance of data normalization and the need for executive-level support as the first step in the implementation process.

This post focuses on the next step: taking an inventory of your data normalization needs. A healthcare system will be hard-pressed to reach its desired data destination if it has no idea of where it stands today. Describing the current environment—where does the key data or terminology exist and who owns it—is the objective of the inventory phase of a data normalization project.

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Topics: data normalization

Four Reasons Data Normalization is Key to the Future of EHRs

Posted on 08/14/15 | Comments

four_reasons_data_normalization_is_key_to_the_future_of_ehrs

The EHR Revolution

Electronic Health Records (EHRs) originated as an attempt to digitize traditional paper medical records (hence the early moniker “Electronic Medical Record” (EMR), implying the system is an electronic representation of a paper medical record). There were certainly drivers for this shift from paper to electronic records, such as enhanced storage, retrieval, update, availability of patient data, and reduction of paper waste, but the capabilities of first-generation EMRs were not designed to extend the use of patient records significantly beyond similar uses to those met by their paper forebears.

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Topics: data normalization

How to Bridge the Gap Between SNOMED CT and ICD-10 CM

Posted on 07/22/15 | Comments

bridge_the_gap_between_SNOMED_CT_and_ICD-10_CM

For a clinician in a busy clinical environment, the primary focus is on patient care. The objective of Meaningful Use is, of course, to facilitate efficient and effective patient care. But complex problems of integration sometimes posed by EHRs can slow things down if not managed appropriately, and can even create the opposite of the efficient patient care setting that everyone—patients, clinicians, administrators—wants. For example, in the case of SNOMED CT and ICD-10-CM, we’re required to document problems and diagnoses in two very different languages.

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Topics: ICD-10, SNOMED CT

Two Common Data Normalization Use Cases

Posted on 07/14/15 | Comments

Data normalization is finding an expanding role in a range of healthcare settings.

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Topics: data normalization