The role of health information in reducing errors resulting from the similarity of names in patients
Keywords:
health information, patients, reduction of errorsAbstract
In order to match patient records with laboratory data and to assure prompt and accurate identification, hospitals and health clinics in many countries are introducing healthcare smart cards with embedded microchips. The cards are designed to give healthcare professionals access to both the information they need and the results of clinical tests for the patient they are treating, provided the patient can give the smart card to the health professional at the time of the visit to the doctor. If the patient forgets the smart card, does not have the card, or refuses to give the card to the health professional, new software applications have been developed to identify the correct patient from other demographic fields in the health information system database. Over the years, there has been research investigating the algorithmic match choices in order of importance when demographic matching, using the health information system on similar and same names of patients with the same date of birth. The focus of the research on similar names of patients was a blend of not only trust and confidence but also included matching accuracy, speed, and computational effort in relation to the computer's CPU processing power.
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