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Setchell and Curtis (2011), in their study
mentioned that laboratory informatics emerged during the period of 1970s, when
the need for laboratory test arose to a great extent and it became time-consuming
and problematic to retrieve and store the laboratory samples and orders. Furthermore,
the management system developed in that period was prone to certain
transcription errors in the analysis of laboratory reports, it was not possible
to effectively manage a large amount of data. This major issue motivated the
health care industry to develop innovative system which possess the capability
to streamline data collection and the process of reporting the data. Some of
the laboratories and few enterprises attempted to develop systems, equipped
with special instruments to operate at the commercial scale, eventually
improving the data storage and retrieval.

to Jones et al., (2014), the pathology services’ nature is
transforming due to the pressure of cost constraints, technological advancement
and cost constraints. There is a need for the laboratory systems to meet the
new demands for the exchange of data with
electronic record management systems for results reporting and test requests. As the requirements continue to
develop, there is a significant emergence of new challenges with respect to the
content of datasets and format which are being exchanged. The healthcare
professionals must understand the importance of intelligent systems for
enhancing the dialogue between laboratory information specialists and
clinicians. The need for Information
Technology (IT) has extended beyond providing the purely analytical data. With
the objective of attaining laboratory data integration in the clinical pathway,
the science and art of changing data into a useful information is significant
in laboratory medicine. In pathology, informatics is an influential tool in
modernizing pathology, introducing modalities of diagnosis (genomics,
proteomics) and providing efficient disease management.

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Blaya et al., (2010) in their study
mentioned that laboratory computing is leading in the development of health
information systems for the past few decades and efficient IT systems have and
fully integrated laboratory information technology (IT) systems have become the
evident source for effective laboratory management and clinical service
delivery. It has been observed that laboratory systems are generally one of the
most sophisticated systems in every healthcare
organization. Patient care can be enhanced significantly by effective
utilization of modern health informatics systems in the laboratory.

Gundlapalli et al., (2009) in their study
mentioned that laboratories are an integral and strong partner in personalized
health care system. Laboratory data contains a huge amount of data representing
genotypes, human phenotypes, the progression
of the disease, response to therapy and
biomarkers. These unstructured and structured data are crucial for patient care
and an influential resource for translational research and personalized medicine.
Laboratory data are incorporated into Electronic Medical Records (EMRs) that
attempt to provide “trending” and “summary reports” to review the patient data.
There is a serious requirement for end-user driven reports for such patients’
care. Furthermore, the professionals responsible for running LIMS should be
well-trained and well-educated about the systems in order to maintain data
efficiently, thereby enhancing the patient care.

The care of patients in various
fields including cancer, HIV/AIDS, and
transplant medicine etc. create a greater amount of data including significant
laboratory data. At present, there are no composite reports (laboratory data) that
integrate both unstructured and structured elements for utilization in the care
of such patients. Automated reports can be influential in enhancing care by
reducing the time in collecting and gathering data.

According to a study published by Skobelev et al., (2011), the role of medical
informatics in modernizing the healthcare cannot be neglected. The LIMS has
revolutionized the data management in the laboratory by developing certain
techniques and methods for enhancing the patient care. It is crucial to
understand the importance of the intelligent systems to maintaining the patient
data in order to provide effective care to the patients. The researchers
further mentioned that laboratory informatics is one of the fastest growing
fields and its implementation is necessary for
every organization for delivering quality services to the patients. 

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