General Hospital knew they had a problem with duplicate health records and needed to clean up the MPI before the implementation date for the EHR in order to get the best results. A consulting firm was hired and a review of the data confirmed this problem when they 3,000 potential duplicate health records issued over the past five years were identified. The hospital started the MPI clean-up process by educating their patient registration staff on proper search strategies, questions to ask the patient, the importance of a unit health record, and other related topics. This education was an important first step so that additional duplicate health records would not be assigned while the clean-up process was going on. Once the training was complete, the consulting firm began cleaning up the MPI. The consultants reviewed the potential duplicate health records and merged the records where appropriate. They also ensured the health records were merged in other information systems used throughout the healthcare facility. They provided documentation to General Hospital showing which health records were and were not duplicates based on their review.
Read the Real-World Case 3.1 (at the end of Chapter 3). Briefly summarize the situation and identify the users of health records in the case. What function is being addressed? What role can the consultants play in the MPI cleanup? Why did the facility find itself in this situation and what could they have done to prevent it?
Discuss your current career plans within the health information profession. What skills do you think you already possess, and what do you need to work on in order to successfully pursue the desired career?
General Hospital knew they had a problem with duplicate health records and needed to clean up the MPI
Summary:
The case describes General Hospital’s need to clean up its Master Patient Index (MPI) before implementing an Electronic Health Record (EHR) system. A consulting firm was hired to identify and merge potential duplicate health records, totaling 3,000 over five years. The hospital initiated staff training on proper search strategies and the importance of maintaining a unified health record. The consultants then began the MPI cleanup process, merging duplicate records and ensuring consistency across various information systems.
Users of health records:
- Patient registration staff: Responsible for registering patients and maintaining accurate health records.
- Consultants: Hired to clean up the MPI and ensure data integrity.
- Healthcare providers: Utilize health records for patient care and treatment decisions.
- Administrators: Rely on health records for operational planning and resource allocation.
Function addressed:
The function being addressed is data integrity and accuracy within the MPI. By identifying and merging duplicate health records, the hospital aims to ensure that each patient has a single, comprehensive record for effective healthcare management.
Role of consultants:
Consultants play a crucial role in the MPI cleanup process by:
– Identifying potential duplicate health records.
– Merging records where appropriate.
– Ensuring consistency across information systems.
– Providing documentation to the hospital regarding duplicates.
Reasons for the situation and prevention measures:
The facility likely found itself in this situation due to inefficient data management practices and inadequate staff training. To prevent similar issues, the hospital could have:
– Implemented proper data entry protocols to reduce duplicate records.
– Conducted regular audits of the MPI to identify and address inconsistencies.
– Provided ongoing training to staff on data management best practices and the importance of maintaining accurate health records.
Current career plans and skills:
– Understanding of healthcare terminology and processes.
– Ability to analyze and interpret healthcare data.
– Knowledge of information management systems.
Skills to work on for a successful career in health information include:
– Familiarity with healthcare regulations and compliance standards.
– Proficiency in data analysis and data quality management.
– Communication skills for collaborating with healthcare professionals and stakeholders.
– Continuous learning to stay updated on advancements in healthcare technology and information management practices.
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