Clinical Review

Free Clinic Diagnosis Data Improvement Project Using International Classification of Diseases and Electronic Health Record


 

References

TOFC fully implemented the EHR in 2018, giving the clinic better capabilities for pulling reports and tracking data. Although there were growing pains, many TOFC providers were already familiar with ICD codes, which, along with an EHR, provide a system to easily retrieve, store, and analyze diagnoses for evidence-based and informed decision-making.7 This made using ICD codes and the EHR an obvious choice to track patient diagnoses. However, most of the providers were not putting them in ICD codes before this project was implemented. Instead, diagnoses were typed in the notes and, therefore, not easy to generate in a report without having to open each chart for each individual encounter and combing through the notes. To make matters worse, providers were never trained on how to enter the codes in the EHR, and most providers saw no reason to, because the clinic does not bill for services.

Methods

A needs assessment determined that TOFC lacked data. This QI project used a combination of primary and secondary continuous quality improvement data.8 The primary data came from pulling the reports on Practice Fusion to see how many times each diagnosis code was put in during the implementation phase of this project. Secondary data came from interviewing the providers and asking whether they put in the diagnosis codes.

ICD diagnosis entry

Practice Fusion is the EHR TOFC uses and was therefore the platform for this QI project. Two ICD maps were created, which incorporated both International Classification of Diseases, Ninth Revision (ICD-9) and International Classification of Diseases, Tenth Revision (ICD-10) codes. There are tens of thousands of ICD codes in existence, but because TOFC is a free clinic that does not bill or receive reimbursement, the codes did not need to be as specific as they do in a paid clinic. Therefore, the maps put all the variations of each disease into a single category. For example, every patient with diabetes would receive the same ICD code regardless of whether their diabetes was controlled, uncontrolled, or any other variation. The goal of simplifying the codes was to improve compliance with ICD code entry and make reports easier to generate. The maps allowed the options to be simplified and, therefore, more user friendly for both the providers and the data collectors pulling reports. As some ICD-9 codes were already being used, these codes were incorporated so providers could keep using what they were already familiar with. To create the map, generic ICD codes were selected to represent each disease.

An initial survey was conducted prior to implementation with 10 providers, 2 nurses, and 2 staff members, asking which diagnoses they thought were seen most often in the clinic. Based off those answers, a map was created with the 20 most commonly used ICD codes, which can be seen in the Table. A more comprehensive map was also created, with 61 encompassing diagnoses.

table for article

To start the implementation process, providers were emailed an explanation of the project, the ICD code maps, and step-by-step instructions on how to enter a diagnosis into the EHR. Additionally, the 20 most common diagnoses forms were posted on the walls at the provider stations along with pictures illustrating how to input the codes in the EHR. The more comprehensive map was attached to the nurse clipboards that accompanied each encounter. The first night the providers volunteered after receiving the email, the researcher would review with them how to input the diagnosis code and have them test the method on a practice patient, either in person or over the phone.

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