Patient Data Requires a Human Touch: Here’s Why This Is Essential

Accessible, reliable and organized patient data is the ideal for healthcare organizations. However, patient data management remains an incredibly difficult task. One of the main impediments to successful data management implementations is migration of patient and organizational data from legacy systems to new solutions. A primary method of migrating to an EHR is computer automated migration, but increasingly, clinical abstraction and migration by real people is becoming the more trusted method to ensure quality, usability and reliability.

One of the main advantages of EHR migration done by real people – preferably medical professionals – is the ability to interpret patients’ files. In the case of computer automated migration, a computer program might be able to recognize what is written but not what was meant by the entries in the patient record. In other words, computer programs are not as good as real people at interpreting and medical records to produce meaningful, useful and accurate patient records.

Clinical abstraction done by real people allows medical institutions and healthcare providers to maintain a high level of trust between healthcare organizations and their patients. Preserving patient records in the most accurate way benefits patients’health. Records migrated by medical records specialists guarantee a higher quality of risk management – patient care based on erroneous entries will be minimized.

Successful patient data migration and management is contingent on the involvement of real people. Automated migration programs can speed up the process of clinical abstraction but expose healthcare organization and patients to unacceptable risk. A migration and management paradigm that relies on human care and intention will result in the greater access, reliability and organization of patient data. The benefit of human involvement in the migration of patient data is immeasurable. More accurate patient data will allow healthcare professionals to focus on solutions for patients instead of data.

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