BHA FPX 4106 Assessment 2

Benchmarks, Quality Measures, and Data Compatibility in Documentation Review

Introduction

Getting data to work together is a big problem for healthcare centers, including ours, because it can break down the process of reviewing documents. Indeed, though some installations have electronic health records (EHRs), the systems don’t always work together, so data has to be manually pulled and changed into formats that people can read (Tong, 2012). 

BHA FPX 4106 Assessment 2:Data Compatibility

For data from different sources to work with our office’s records, we need easy access to complete case records. This is made possible by EHR systems that work with each other and computer networks that follow standard protocols (Tong, 2012). For accurate comparisons of similar criteria from different sources, data standardization is truly important. Electronic Health Information Exchange (HIE) systems are truly important for making this standardization be. They make it possible for data that has been transferred to be easily added to benefactors’ EHRs (HealthIT, 2019). 

Benchmarks

Setting marks is an important part of making data harmonious and perfecting patient care. For illustration, adding lab results that are transferred electronically to our EHR makes it easy to find cases that need follow-up care, like those with high blood sugar (Williams, 2012). 

Quality Measures

To make sure that data is homogenized, you need to look at sources to make sure they work with data that was collected internally. For this purpose, I will look at quality measures and data from the National Healthcare Quality and Disparity Reports (NHQDR) on Diabetes Quality Measures from the Agency for Healthcare Research and Quality (AHRQ). Compared to attainable marks for diabetes performance measures set by CMS (see attached Excel spreadsheet). These measures consist of HbA1c control, blood pressure control, and cholesterol control, estimated against public chances and temporal trends (AHRQ, Time CMS, Year).