ELECTRONIC HEALTH RECORDS

Running header: ELECTRONIC HEALTH RECORDS Electronic Health Records
[Name]
KAPLAN UNIVERSITY [Instructor]
CM107
[Date] ELECTRONIC HEALTH RECORDS 2 Electronic Health Records
Currently, the healthcare sector is adopting digital technology on globalization and
evolution in medical care quality. With some technologies being adopted, Electronic Health
Records is one of the technologies capable of actualizing quality medical care in healthcare
centers globally. Electronic Health Records technology can be used in enhancing safety,
reliability, and availability of patients’ information in healthcare centers. Use of Electronic
Health Records has several positive effects on the medical field including improved patients’
care, improved efficiency, and improved patients’ diagnosis and outcomes.
In improving patients’ care, Electronic Health Records can easily retrieve patients’
information and enable immediate diagnosis and treatment. Compared to earlier systems which
used manual retrieving of patients’ information, EHRs immediately retrieve medical records of
specific patients as supported by Krist, Beasley, Crosson, Kibbe, Klinkman, and Lehmann
(2014). This enables immediate monitoring of any prescribed medications and possible
medication schedule for the specific patient. Notably, the earlier manual system in retrieving
medical records can include errors which can propagate during patients’ care. To avoid that,
EHRs contain a notification icon that immediately notifies the physician on specific care needed
for specific patient. Apart from error minimization, paper pilling is minimized while great
storage space is created digitally. This improves the overall patients’ care and accuracy.
Again, Electronic Health Records improve efficiency in medical care services. As earlier
noted, patients’ information is easily retrieved through this technology and therefore, time is
saved in getting patients’ history and current medical needs. Different from the earlier manual
systems, all medical information is immediately tracked hence giving enough time for next
diagnosis and treatment (Krist et al., 2014). For example, EHRs track immediate data on ELECTRONIC HEALTH RECORDS 3 patients’ pre-admission to dismissal by including information on historical illnesses and current
medication. Since patients’ healthcare cycle is availed, the whole process gets reliable reference
points which save time from admission to dismissal.
Moreover, Electronic Health Records improve patients’ diagnosis process and outcomes.
Through this technology, physicians can immediately track needs of each patient and therefore
reduce chances of errors in diagnosis, medication, and dismissal processes. Notably, EHRs
knowledge should be availed to all medical staff since all steps in patients’ care need EHRs as a
reference point (Krist et al., 2014). Since last patients’ admission data are available along with
other medical history, physicians can easily differentiate illnesses with similarities in diagnosis.
Therefore, correct treatment is given to the right diagnosis, and hence appropriate dismissal
process is achieved. As supported in a research study on evidence-based practices (EBP) by
Melnyk and Fineout-Overholt (2011), more than 90% of long queues in healthcare centers have
been reduced through EHRs efficiency and accuracy.
In conclusion, Electronic Health Records technology brings change in healthcare towards
coping with the globalizing, evolving, and digitalizing world. Since the technology will reduce
medication errors, improve efficiency, patient diagnosis along with outcomes, all physicians
should be equipped with the technology. Therefore, computer literacy should be advanced in all
healthcare centers and ensure that all healthcare workers get effective understanding and use of
EHRs technology. This will enhance Medicare services from patients’ admission process to the
dismissal stage. ELECTRONIC HEALTH RECORDS 4
References Krist, A.H., Beasley, J.W., Crosson, J.C., Kibbe, D.C., Klinkman, M.S., & Lehmann, C.U.
(2014). Electronic Health Record functionality needed to better support Primary Care.
Journal of the American Medical Informatics Association, 21(5), 764 – 771
Melnyk, B. M., & Fineout-Overholt, E. (2011). Evidence-based Practice in Nursing &
Healthcare: A guide to best practice. Philadelphia: Wolters Kluwer/Lippincott Williams
& Wilkins
Milewski, R., Govindaraju, V., &Bhardwaj, A. (2016). Automatic recognition of handwritten
medical forms for search engines. International Journal of Document Analysis and
Recognition (IJDAR), 11, (4), 203–218.

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