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Clinical Data Management: Why Clinical Labs    are Choosing LIMS over LIS

Traditionally, Laboratory Information Systems (LIS)-which lack the extensive management functionality of a LIMS-have been sufficient for most clinical applications. Yet in the past few years, a growing number of clinical laboratories have chosen LIMS over LIS. This raises important questions about the difference between the two types of systems, and the contribution that full-fledged LIMS can make in a clinical setting. At least four important considerations are clear:

  Clinical data management labs running sophisticated procedures are        better served by LIMS

It goes without saying that clinical tests are becoming increasingly complex-largely to support growth in predictive and personalized medicine which relies heavily on  molecular diagnostics and PCR technologies.. Such complex testing drives the need for flexible and powerful laboratory workflow management tools, such as those offered by LIMS.

LIMS helps clinical labs to become more efficient

and nimble.  LIMS that offer customer configuration make it easier to optimize workflows to meet emerging requirements.  Labs that can carry out such software configuration changes independently of software vendors are at a decided advantage.

LIMS makes clinical lab information available throughout the organization

and supply chain

Patients and health care professionals have growing expectations to obtain lab data in a rapid and convenient way. LIMS that are based on Web technologies enable labs to share their data securely, quickly and effectively-with users throughout the supply chain. Advanced LIMS that are built from the ground up as a web system provide a better platform for the future than a legacy LIS with a “bolted on” web interface.

Clinical laboratories must have modern interoperability tools available to effectively and securely manage the exchange of protected health information while coping with changes driven by clinical laboratory consolidation and the resulting growth in the use of reference labs, the emergence of regional healthcare clusters (RHIOs), increasing public health reporting requirements and emerging messaging standards such as HL7 CDA.  LIMS have powerful interoperability tools such as web services and XML messaging in addition to HL7,  API, ODBC, OLE, OLE-DB, and flat file exchange.

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