Abstract:
Blood sample management is an important aspect of healthcare systems that
supports both the efficacy of therapy and the accuracy of diagnosis. One of the most
common diagnostic tools used in healthcares is blood tests. However, many hospitals and
laboratories still face challenges in managing blood sample information efficiently. These
inefficiencies not only interfere the quality of healthcare services but also create
significant challenges for medical professionals and patients alike.
Like many similar facilities, Muara Beliti Regional Public Hospital manages
patient data and blood samples mostly through manual methods. Currently, laboratory
staff manually enter blood test data from a diagnostic machine into Microsoft Word. This
method is not only time-consuming but also is sensitive to human error, such as incorrect
data entry, which may reduce the accuracy of the results. Additionally, lab staff manually
highlight abnormal results using color codes to indicate whether the values are high or
low. Although this approach acts as a visual help, it also raises the possibility of
workflow delays and inconsistencies.
Patient data management at Muara Beliti Regional Public Hospital still also relies
on manual systems. All patient records, including personal details, test bookings, and
results, are recorded manually. This time-consuming procedure is ineffective and tends to
cause data processing mistakes which may lead to lost documents or make it difficult to
locate historical information. Furthermore, due to the lack of automation technologies, it
is difficult to maintain accurate and up-to-date records, which is crucial for both patient
care and operational efficiency.
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These manual processes collectively contribute to a range of problems such as workflow
delays, increased risk of errors, lack of data integration, and patient inconvenience. With
the increasing demand for digital solutions in healthcare, there is an urgent need for
Muara Beliti Regional Public Hospital to modernize its blood sample management
system. A web-based application designed to streamline and automate these processes
would not only address the current inefficiencies but also enhance overall healthcare
delivery.
