December 01, 2016
The advent of cloud technology has helped many labs to automate by easily migrating their data saved in the form of old paper notebooks and spreadsheets. Cloud Technology not only helped labs to streamline lab operations and save resources, but also paved the way for offering personalized LIMS services on demand guaranteeing maximum user satisfaction. This white paper underlines the evolution of LIMS, different types of LIMS architecture, cloud technology and deployment models, benefits and risks of cloud computing, and how SaaS models leverage cloud technology to maximize Return on Investment (ROI) by minimizing Total Cost of Ownership (TCO). This white paper will help biobanks, clinical research, diagnostic, pathological and food & beverage testing labs to become familiar with the concept of Cloud Technology and realize the benefits of an affordable LIMS solution.
Since the late 1970s, managing laboratory samples and their associated tests, studies, and reports were being recorded manually using spreadsheets and laboratory notebooks. This was an extremely time consuming and cumbersome process, often riddled with transcription errors. Tracing back, the development of first generation LIMS dates to the year 1982. The first generation LIMS evolved in the form of a single centralized minicomputer, which facilitated automated reporting for the first time with greater lab productivity. Late 1980s witnessed the era of second generation commercial LIMS, to provide application specific solutions using relational databases. Commercial LIMS still relied on minicomputers though, as PC-based solutions were just starting to emerge. In the 1990's, personal computers and software databases made programming and documentation easier. This paved way for the advent of third generation commercial LIMS. It combined the power of PC's easy to use interface and desktop tools with client/server configuration model of minicomputer servers to advance data processing. In 1996, Web-enabled LIMS debuted, enabling researchers to work outside the confines of their laboratory changing the entire picture of LIMS industry.
Cost–Benefit Analysis (CBA) or calculating return on investment is quintessential for any organization planning to automate their lab operations by implementing a LIMS software. It is important to consider a few points while conducting CBA. The expenses incurred in managing lab operations through notebooks, spreadsheets throughout their complete life cycle is often improperly calculated or comprehended. Apart from material cost, there are hidden costs which laboratories usually forget to consider. The time taken in writing by hand, cutting, pasting, correcting handwritten lab notebooks, in addition to the time required for managing cumbersome spreadsheets significantly contributes to this hidden cost. By switching to an automated solution, a researcher can save considerable time and use CBA for progressing research activities.
Some of the non-quantifiable benefits of switching to an automated LIMS solution are:
To learn more, please visit the white paper section.
Meet us @ CAP16, Las Vegas USA
September 01, 2016
CloudLIMS is exhibiting at CAP16 - The Pathologists' Meeting™. We are showcasing CloudLIMS, our laboratory automation software product, at booth #512. We will also be presenting a poster titled "Cloud Technology to Enable and Accelerate Clinical Data Management in Biobanking".
The poster number is 199 at session 300. The presentation is scheduled for Tuesday, September 27th from 8:30 AM - 12:00 PM.
CAP16 - The Pathologists' Meeting™ - is an annual event of The College of American Pathologists (CAP), a leading organization of board-certified pathologists. CAP offers high-value, integrated solutions and experiences that empower CAP members and customers to achieve excellence in the practice of pathology and laboratory medicine. More than 1,400 healthcare leaders are expected to attend this event.
For more information on CAP16, please click here.
Clinical Laboratory Pain Points
July 15, 2016
Clinical operations are generating more and more data. Now, conduct clinical research studies using a powerful tool that manages studies, test data, sample storage and visits, and generates meaningful reports to help determine if a medical strategy, treatment or device is working as expected.
Use cloud technology in a scalable, secure & reliable environment. Learn how it addresses some of the common clinical laboratory pain points.
LIMS for Clinical Research
June 01, 2016
LIMS plays a key role in providing comprehensive laboratory and patient management functionality, essential for researchers and technicians dealing with clinical testing and molecular diagnostics. It assists in streamlining the laboratory operations such as storing the samples, recording patients' data, saving the test results over a period of time, outlining data audits etc, thereby increasing productivity.
Clinical research labs have been using Laboratory Information Management Systems (LIMS). However, the traditional LIMS systems are prohibitively expensive and do not allow sharing of data in real time. Therefore, there is a growing demand for a cost effective LIMS solution for the clinical industry, owing to globalization of R&D operations, lack of budgets, stringency of regulatory bodies towards data integrity, and the need for compatible platforms to share knowledge/data within an organization and with third parties. Cloud technology has emerged as a viable alternative. The SaaS based in-the-cloud LIMS offers commercial and academic institutions, a standardized approach for managing laboratory data globally.
Hosted LIMS has several advantages over the traditional systems:
Unlike a traditional on-site model, cloud based LIMS allows diagnostic labs to be more responsive to their business needs and achieve lower turnaround times in serving pharmaceuticals that rely heavily on the data supplied for drug development.
Cloud Technology - A Key Driver of the Healthcare Industry
May 15, 2016
Cloud technology is one of the key drivers of the healthcare industry's growth. As projected by many newspapers and analysts, the digitization of healthcare sector will be one of the greatest challenges. The digital transformation of the healthcare sector can be summarized in three steps:
Cloud Technology, Big Data, and Mobile Technology are the three drivers that will have the biggest impact on the healthcare industry, particularly in the areas of Population Health, Biobank, Clinical Laboratory Management, and Precision Medicine.
Under the Precision Medicine Initiative, development of personalized therapies for diseases ranging from common disorders to cancer, requires aggregation of a large number of samples and the associated information such as patient demographics, clinical data, lifestyle information, environment exposure data etc. The Precision Medicine initiative has already received large investments from the Unites States and Europe. It is also expected that this initiative will have a significant impact on the Asia-Pacific, in terms of increasing expenditure for databases and biobanking infrastructure.
Beyond the Precision Medicine Initiative, huge volume of genomic data is being generated from Next Generation Sequencing (NGS). Handling of such information in an effective and secure manner raises the need for advanced robotics, real time data access, and advanced IT solutions. From the data accessibility perspective, it also raises the need for interoperability of information centers. Deployment of an efficient cloud based lab management software can address the impediments effectively.