Implementation and evaluation of a clinical data management programme in a primary care centre

Area of Science:

• Health Informatics
• Primary Care Medicine
• Data Management

Background:

• Electronic health records (EHR) are crucial for clinical management, administration, quality assurance, research, and service planning.
• Ensuring the consistency, completeness, and accuracy of EHR data is essential for effective healthcare delivery.
• Primary care settings face challenges in maintaining high-quality EHR data due to various factors.

Purpose of the Study:

• To evaluate a clinical data management program aimed at improving EHR information quality in a large primary care center.
• To assess the impact of a structured data management strategy on coding consistency, completeness, and accuracy.
• To determine the feasibility and sustainability of implementing such a program in primary care.

Main Methods:

• A Clinical Data Manager was appointed to implement a Data Management Strategy.
• The strategy involved coding consultations using the International Classification of Primary Care, 2nd Edition (ICPC-2).
• The program included tailored support and ongoing individualized feedback to clinicians.

Main Results:

• Prior to the program, only 4 of 10 General Practitioners (GPs) engaged in regular coding, with 69% of consultation notes coded.
• After 12 months, all 10 GPs and 6 nurses were coding consultations using ICPC-2.
• Monthly coding levels increased significantly to 98%.

Conclusions:

• A structured Data Management Strategy is a feasible and sustainable approach to enhance information management in primary care.
• The implemented program led to substantial improvements in clinician engagement and the level of EHR coding.
• Improved EHR data quality supports better clinical decision-making, research, and service planning.