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Value Add
Labs go Hi-tech
In the context of massive databases, only a LIS delivers
the analysed outcome with the click of a mouse
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"LIS
can facilitate sharing of data between two different sites while still
maintaining independent status. Outcome-oriented process in information
transfer will impact the healthcare decisions at large"
- Shiv Kumar
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It is indeed no news that IT is making a slow but steady impact
in healthcare. Labs are a significant witness to this transition phase and with
the increasing demand for Laboratory Information Systems (LIS), many IT vendors
are looking forward to cater to this segment. One such company that is making
its presence felt in the LIS market is Syscon Infotech.
Syscon Infotech
Leveraging on experience and proficiency of varied healthcare
professionals, Syscon Infotech has produced comprehensive and customised Laboratory
Information Software- Solar. The software solutions from solar interlace cutting
edge futuristic technology, thus a balance of pragmatism and feasibility. Focused
on quality, user friendly attributes and innovative customisation, Solar is
a watchful laboratory manager that upholds the standards of Good Laboratory
Practices (GLP).
Syscon as an enterprise envisions product excellence in compliance with global
ideology. The company mandates commitment and continued customer services thus
propelling towards leadership in healthcare solutions. Syscon Infotech stems
out of the Syscon Group of Companies that is headquartered at Bangalore.
Laboratory Information Systems
A LIS or a clinical laboratory information system is a category of software
which operates information regarding clinical laboratory processes. A clinical
LIS primarily controls processes involved in sample collection, receiving, processing,
storing and reporting. In short, this is a tool that tracks all the information
generated by the laboratory. The software system can often be integrated into
other systems such as interfacing with laboratory instruments and or other information
systems such as a Hospital Information System (HIS). An efficient LIS is configurable
and facilitates a wide variety of laboratory work-flow processes. Customisation
of LIS offers the extraordinary advantage of flexibility while catering to individual
laboratory needs in compliance with set standards. LIS can be offered as a wholesome
laboratory undertaking or as individual modules that accommodate specific aspects
such as blood banking, serology, hematology, clinical pathology, biochemistry
and microbiology.
Objectives
The key focus of an LIS is to maintain quality in the laboratory work flow processes.
The LIS maintains uniformity in the laboratory processes in entirety. This also
involves the use of controlled medical vocabulary. An LIS delivers quality along
with prompt and accurate outcomes in the best turn-round-time and the most cost
effective manner. High throughputs are maintained without quality compromises
resulting in absolute precision. The element of manual error is almost zeroed
by the use of an LIS. Ultimately, the LIS builds an online, real-time computerised
patient record. The patient database with searchable information serves as an
invaluable tool in perceiving trends in diagnosis and treatment.
Critical success factors: The success story of LIS
lies in its deliverables. The foremost being quality that is mandated for a
state-of-the-art healthcare setting. The secondary influencing factor is cost-effectiveness
with high throughputs and in preserving the best turn-around time. It is evident
that both these attributes, directly impact patient care, accuracy in diagnosis,
treatment issues and ultimately patient satisfaction.
Total Quality Management- A glorified round-the-clock vigilant eye, LIS provides
time checks in every step of the laboratory processes, thus ensuring Quality
Assurance (QA). In laboratory medicine Total Quality Management (TQM) entails
both Quality Controls (QC) for individual tests as well as QA. LIS nullifies
manual interference; especially in areas of patient registration, pre-analytical
and post-analytical processes, thus achieving its focus in enhancing the credibility
of the laboratory.
Sample traceability: By a bar-coded system assists
in sample tracking from the point of collection, sample processing up to result
generation.
Validation, verification and certification: The other tool that is vital to
the post-analytical processes is result validation, verification and certification.
The LIS has the ability of validating a given test result. The same is verified
and certified by authorised signatories of the laboratory before issue. The
report issue itself can be halted, should the authorised signatory pose tabs
in the LIS to withhold the dispatch of report without verification or validation.
Data Transference: Uni or bi-directional interfacing
allows for data transference directly from the point of analysis to the report
entry. In the conventional paper-based system, in the absence of stringent monitoring
mechanisms that need to be inculcated into the laboratory medicine culture,
errors in pre-analytical, post-analytical and sample processing are not uncommon.
Integrating a Standard Operating Procedure into the LIS:
A Standard Operating Procedure (SOP) can be integrated into the LIS, thus irrespective
of the individual, there will be regular checks built into the system. For instance,
if the SOP for sample collection entails that all patient details are to be
recorded before dispatch to the respective departments or sections, the LIS
will indicate the failure in complying with the same. Stringency in protocol
adherence is enhanced.
Documentation and Backup mechanisms: The guidelines
for NABL/ NABH have made documentation a vital aspect for the accreditation
process. It becomes mandatory for every sample entering the laboratory to be
precisely documented. While a paper based system has no replacement, an electronic
system that contains all the information will be an efficient method of storing
data and records. Regular back-ups can be taken. Space concerning storage can
also be reduced with an LIS.
Cost effectiveness: It is a misleading notion that
an LIS compliments the duties of a clinical laboratory clerk or a data entry
operator. The LIS stretches beyond, reducing risks of errors and enhancing quality.
The LIS curtails lapses in a manual billing system, improves inventory and stock
management and or supply chain protocol of the laboratory. The LIS has the ability
to multi-task as well as mediate between various sections of the laboratory
as well as the different departments in a hospital. The invasion of Information
Technology has cropped into and gradually but effectively replaced a number
of paper-based systems such as libraries, billing and accounting systems. It
will not be long before the cost-effectiveness of LIS implementation becoming
a proven factor.
Potentials
Clearly, the potentials outnumber the pitfalls.
Turn-round-time: An LIS maintains good turn-round
time. Defined turn-round time periods can be pre-fixed and intimated to either
the clinician or the patient or both. A drastic reduction in patient waiting
time is observed when the time of report receiving is entered on the bill itself.
High throughputs: Maximal errors are in times of high
workload periods or under-staffed shifts or in combination. An LIS has a control
on work-flow pace and patterns. The LIS modules with built-in quality checks
permits high throughput work flow in good turn-round time.
Auto- Validation, Verification and Certification:
Apart from enhancing the quality in deliverables, the auto-validation, verification
and certification asserts the authorisation of reports by designated signatories.
This ensures that each report is appropriately assessed.
Bar-coding: Ascertains the sample being traced throughout
the process.
Interfacing: A linkage in pre-analytical, analytical
and post-analytical processes. Interfacing in conjunction with bar-coding is
a complete laboratory solution as it complies with the best laboratory standards.
Delta check: Are methods for detection of random errors
in clinical laboratory tests including specimen abnormalities, specimen mix-up,
problems in analysis processes, and clerical errors. Multi-variate delta check
methods are more superior to the univariate delta check methods.
Digital Signature: The use of digital signatures by
authorised entry portals affixes significance to the laboratory report.
Graphics: Employs a novel technology for the computation,
data analysis, integration and management, modeling of reactions such as the
interaction of protein-ligand, protein-protein and other bio-molecular systems.
Audit Trial: Is a record of transactions that provides
verification of the activity of the system. For instance, if a person's salary
is increased, the change transaction includes the date, amount of raise and
name of authorising manager. A more elaborate audit trail can be created when
the system is being verified for accuracy and the samples of processing results
can be recorded at various stages. Item counts and hash totals are used to verify
that all input has been processed through the system.
Data Mining: Data mining, a concept that is rapidly
gaining pace, is sorting and extraction of relevant information from a large
database. The magnitude of the databases may surpass manual calculation and
thus electronic interventions in the form of bioinformatics assist in making
use of the data collected.
Web-enabled Services: Web services integrated into
LIMS modules, assist in establishment of web services framework. The web services
framework makes available key LIMS elements such as sample tracking, results
entry, and a variety of quality-related information for distribution to other
systems. These services are made available to enterprise-software, running procurement,
logistics, human resources, regulatory reporting and or other processes.
Radio Frequency Identification (RFID): Monitoring
high level event detection, the RFID utilises radio labels that are tagged to
the sample (similar to bar coding). Advancement over conventional bar coding,
RFID is well suited for massive databases.
Data Privacy: Privacy and confidentiality of patient
information is an institutional obligation. The nine principles to prevent infringement
of personal data that are incorporated into the LIS are assess control, record
opening, and control of patient entries, consent and notification, control over
record viewership, attribution, information inflow, aggregation control and
trusted computing base.
| Healthcare in the information society: A prognosis
for the year 2013. Haux R, et al., International Journal of Medical Informatics,
2002 Nov; 66(1-3):3-21.
Haux R, from the Institute for Health Information Systems,
Austria deliberates, "Three factors will greatly influence the further
development of information processing in health care within the near future-
the development of the population, medical advances, and advances in informatics.
These factors have motivated us to set up 30 theses for health care provision
in the year 2013. The theses cover areas of healthcare, such as its people,
its information systems, and its Information and Communication Technology
(ICT) tools. Three major goals requiring achievement have been identified-
patient-centered recording and use of medical data for co-operative care,
process-integrated decision support through current medical knowledge,
comprehensive use of patient data for research and healthcare reporting."
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Knowledge Management to Support Performance Based Medicine
The need for data driven decisions drives a clinical laboratory to stretch beyond
the immediate diagnostic needs of a patient. Information generated in totality
can be useful to the clinician. They provide a perspective on clinical practices
that are beneficial, practices that can be improved upon or that requires to
be changed. In the context of massive databases, only a LIS delivers the analysed
outcome with the click of a mouse. A case of manual entry and data analysis
is beyond doubt ruled out. The increasing pressure on healthcare organisations
to ensure efficiency and cost-effectiveness, balance the quality of care and
contain costs, drives them towards more effective management of medical knowledge
derived from biomedical research. Knowledge managed technology may provide effective
methods and tools in speeding up the diffusion of innovative medical procedures.
Reviews of the effectiveness of various methods of best practice dissemination
show that the greatest impact is achieved when such knowledge is made accessible
through the health information system from care providers at their work sites
upto administrators and clinicians. Thus, the great challenge for medical informatics
is represented by the effective exploitation of the astonishing capabilities
of new technologies to assure the conditions of knowledge management and organisational
learning. Sighting a single example among numerous others, in an LIS the use
of antibiotics in a particular department could be compared to the antibiotic
resistance pattern of patients who have been admitted to those wards. The LIS
supports data analysis that will shift laboratory medicine from patient or problem
oriented solutions to data driven decisions. The searchable database allows
for identifying solutions in different populations, for instance gender-wise,
ward-wise or age-wise.
The basic features of a Laboratory Information System are
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Future Trends
An information system that liaises between clinical knowledge or practices and
patient-related data allows viewing of probabilistic approaches to patient care.
Thus LIS provides laboratory informatics a platform in altering practices in
laboratory medicine. The evolution of clinical practice, with much more chronic
and non-inpatient clinical services, has set the stage for the evolution of
hospitals. At least four phases of this evolutionary process can be identified
as follows- devolution, co-ordination, communication, integration and virtualisation.
Therefore, the creation of new roles or alter existing roles by maintenance
of vast information. LIS can facilitate sharing of data between two different
sites while still maintaining independent status. Outcome-oriented process in
information transfer will impact the healthcare decisions at large. The hospital
evolves into an organisation including multiple campuses and services such as
clinics, procedure centers, nursing centers supported by a mix of facilities
and services. These diverse health services are bound together by an information
system serving both patient and organisation requirements. The data can be restricted
to 'share able parameters.' 'Share-able' data can be connected to a centralised
body that is involved in decision such as blood banking or STI clinics. This
entire system, and the management of it, becomes the 'virtual hospital'/ health
system.
The LIS itself is constantly upgraded to suit the increased
customer demands. The popularity of LIS is fast growing and the day would not
be far when, a paper-based system would be a thing of the past. The LIS sets
the ground for TQM and aims to factor in consistency, efficiency and scope for
improvement.
The writer is Director- Life Sciences, Global Industry Business
Unit, Oracle Corporation, Asia
shiv.syscongroup@gmail.com
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