A scoping review of integrated blockchain-cloud architecture for healthcare: Applications, challenges, and solutions
As laboratories continue to swim in an increasing amount of data and attempt to streamline operations, thoughts of turning to cloud-based data management grow. And while cloud-based applications can help, challenges remain with security, privacy, and real-time access. Blockchain-based systems alone can improve on some of those challenges, but blockchain isn't scalable. As such, Ismail et al. discuss at length in this 2021 paper the benefits of integrating blockchain with cloud-computing systems, as well as the remaining challenges of optimizing such an integration. After presenting existing research and discussing the basics of cloud computing and blockchain, the authors discuss the integration of the two in both encapsulated- and non-encapsulated architectures, as well as how they can be applied to healthcare systems. They close by addressing the remaining challenges of an integrated system, including the energy costs of running such a system. They conclude that while "the integration of cloud and blockchain for healthcare is promising to cope with the shortcomings of these individual technologies ... further research is still required to enhance the existing architecture to make it more scalable and energy-efficient with inter-cloud communication support."
Key Challenges Effecting the Optimization of Supplier Quality Management
Effective supplier quality management offers value to the operations of any organization by improving efficiency, reducing risks, and helping to ensure that products are safe and have the highest quality.
How to Visualize and Implement a Continuous Improvement Pipeline in a Clinical Laboratory Context
Clinical diagnostic laboratories may have business goals that include increasing profits, reducing costs, or accelerating innovation. Continuous improvement is an organized approach to identifying opportunities to achieve these types of goals.
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Reduce the Calls to Your Laboratory’s Phone with Portals
Ring, ring, ring…your laboratory’s technicians hear the loud shrill of the phone ceaselessly throughout their shift as clients of all types – doctors, nurses, detectives, product managers and more – call for test updates.
The Importance of Good Data in Supplier Quality Management and How to Improve It
Supplier quality management is critical to an effective and efficient procurement workflow. By acquiring, controlling, and applying supplier data successfully the organization can have increased command of the supply chain with predictable and consistent performance.
Laboratory Informatics Weekly Update – Volume 19, Issue 43
October 27, 2021 Laboratory Informatics Weekly Update Volume 19, Issue 43 In This Issue Featured Books COVID-19 Testing, Reporting, and Information Management in the Laboratory Featured Content 10/27/2021 - Key Challenges Effecting the Optimization of Supplier Quality ManagementEffective supplier quality management offers value to the operations of any organization by improving efficiency, reducing risks, and helping to ensure that products are safe and have the highest quality. [Read More] 10/27/2021 - How to Visualize and Implement a Continuous Improvement Pipeline in a Clinical Laboratory ContextClinical diagnostic laboratories may have business goals that include increasing profits, reducing costs, or accelerating…Laboratory information management system for the biosafety laboratory: Safety and efficiency
There are numerous laboratory information management systems (LIMS) on the market, but in reality, how many are finely tuned to handle the safety requirements of a biosafety laboratory? At least from the standpoint of Sun et al. of the Institute of Microbiology Chinese Academy of Sciences, few if any meet those needs. As such, the authors, in this 2021 paper published in the Journal of Biosafety and Biosecurity, commence with laying out the unique add-on requirements a standard LIMS would require in order to meet the needs of most biosafety lab. Noting in their introduction "a strange situation, one where biosafety information itself is highly digitalized, yet there is no centralized system designed to better organize that electronic information and enable laboratorians to use it appropriately," the authors then describe what is required to remedy that situation. They note that biosafety and efficiency are tied to four information management aspects of the biosafety lab: project management, personnel administration, experimental material management, and equipment management. The authors then discuss how these areas of management would need to be fortified in a modern LIMS, as well as addressing other areas such as balancing flexibility and complexity and addressing data security.
5 Imperatives of Effective Supplier Quality Management
Fewer than 1 out of every 5 businesses has an effective supplier quality management strategy, according to LNS Research. And more so, those that do have an effective strategy, have a 16 percent lower cost of poor quality (COPQ).
Multilingual Support in LIMS
Mr. LIMS Speaks: Change Management…Possibly the largest cost of implementing a LIMS
Newton’s First Law of Motion states that a body at rest will remain at rest unless an outside force acts on it, and a body in motion at a constant velocity will remain in motion in a straight line unless acted upon by an outside force. These natural laws apply equally when applied to a LIMS implementation...
Laboratory Informatics Weekly Update – Volume 19, Issue 42
October 20, 2021 Laboratory Informatics Weekly Update Volume 19, Issue 42 In This Issue Featured Books CannaQA Catalog & Price List Featured Content 10/20/2021 - Kalleid to Present at the Eastern Analytical Symposium (EAS)This November, Kalleid will be presenting at the Eastern Analytical Symposium (EAS) November 15-17, 2021, together with Takeda Pharmaceuticals. The topic of the presentation is: “Managing the Change: Lessons Learned from a Global ELN Implementation During the Pandemic” [Read More] 10/20/2021 - 5 Imperatives of Effective Supplier Quality Management Fewer than 1 out of every 5 businesses has an effective supplier quality management strategy, according to LNS…Use of middleware data to dissect and optimize hematology autoverification
In this 2021 journal article published in the Journal of Pathology Informatics, Starks et al. of the University of Iowa Hospitals and Clinics present their case for the value of autoverification data evaluation despite the inherent challenges of extracting and analyzing data related to autoverification rules from informatics system. Noting that most autoverification rules were housed in their middleware solution and (and not the LIS, which would require additional fields currently not present), they examined instrument- and middleware-generated flags generated from "complete blood count (CBC) with white blood cell (WBC) count differential (Diff) and the 'a la carte' ordering of individual CBC components." Their analysis resulted in two significant changes to their autoverification rules related to those tests, resulting in "improved efficiency and lower rerun rates." However, these insights did come at some investment in time and resources, requiring third-party data retrieval methods and "extensive cleanup and formatting" of the data to actually identify flagged specimens. The authors conclude that these downsides highlight "opportunities for improvement in software tools that allow for more rapid and routine evaluation of autoverification parameters."









