This case study investigates the healthcare informatics processes and technology in improving the accurate entry of patient data and summarizes nursing research regarding data integrity. The case study examines the impact of consequences of the use of Electronic Health Record (EHR) systems on the quality of care and proposed solutions to address accidental EHR-related mistakes. In this case study every diagnostic procedure was done correctly and promptly for patient`s well-being, while poor and improper entry of the patient’s data led to jeopardizing the integrity of information, and further endangering patient safety or decreasing quality of patient care.
One of the methods to ensure data accuracy is to ask the patient to verify data that is collected during admission and assessment processes. This verification may be accomplished through: verbal confirmation, reviewing data by patient on selected computer screen or tablet, and reviewing printouts by client of entered data. Each of these methods has possible problems. Patient may not be English proficient, the atmosphere in the emergency room may be too fast paced for the patient to be able to accurately review the data or patient may have verbal or vision weakness.
Usually, electronic health records data entry result in faults due to software design flaws, poor decision support rules, inadequate user training, system performance issues, human error, interruptions by colleagues while submitting patient data, or use of the system in ways not intended by the system developer.
Manual review and improving wrong data entry could be extremely labor demanding. The tools which I would implement in the case study in the order to correct poor quality data entry is data cleansing, or data scrubbing. Data cleansing is a procedure that uses software and deals with identifying and removing errors and irregularities from