Implementing a Data Management System for Patient receiving Hemodialysis Therapy in a Renal Unit -Local Initiative

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Abstract Description
Abstract ID :
HAC6393
Submission Type
Authors (including presenting author) :
Ho HS, Tong KMJ, Wu SY, Lam WC, Kwan KLA, Mo KLS, Lo BYE, Chan KK
Affiliation :
Department of Medicine, PYNEH
Introduction :
Due to complexity of dialysis process and monitoring haemodialysis (HD) treatment, all parameters should be documented, archived and retrievable. Such clinical documentation increases nurses’ workload, especially with limited manpower and increasing HD demand. The storage and retrieval of such data is another big challenge. A healthcare information system which serves to gather and process HD data in the point of care would facilitate service management.
Objectives :
To evaluate the effectiveness of implementing a new data management system for patient receiving HD therapy.
Methodology :
From May 2019, a new Data Management System for patients receiving HD therapies was fully implemented in the renal unit of Pamela Youde Nethersole Eastern Hospital. 1. An electronic Data Management System which can be connected to different brands of HD machines is installed. Medical parameters are transmitted to the computer from the dialysis machine automatically to generate patient’s electronic dialysis record. 2. Real time monitoring of dialysis therapy can be performed. Patient’s outcomes can be analyzed by data retrieval with graphical representation. 3. A tailor-made HD record sheet is designed such that relevant information on HD treatment and medications can be viewed from central monitor. Data and machine alarms can be collected and retrieved. 4. A user-friendly manual for system is developed with staff training (in small groups or individual). 5. A workgroup is set up for monitoring and review of system during implementation period. 6. A tailor-made treatment profile can be created for an individual, such that prescription can be made and transmitted directly to the HD machines. 7. Subsequent HD scheduling and planning can be created via the system.
Result & Outcome :
Satisfactory survey was performed in December 2020. A total of 25 staff responded, including 5 Advanced Practice Nurses and 20 Registered Nurses. Results showed a positive feedback on the new data management system. All nurses accepted the new practice and reported confidence in the use of electronic clinical documentation which helps standardize the HD records. Over 90% staff found the system useful in clinical data retrieval and in reducing the workload of documentation and transcription errors. To conclude, the system facilitates data management, streamlines the HD process and subsequent management plan. The enhanced efficiency greatly improved the quality of patient care.

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