Preparing to grow with an opening market
Company Size
11-200
Region
- America
Country
- United States
Product
- Qualio
Tech Stack
- eQMS
- LIMS
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
Technology Category
- Functional Applications - Computerized Maintenance Management Systems (CMMS)
- Functional Applications - Enterprise Resource Planning Systems (ERP)
Applicable Industries
- Healthcare & Hospitals
- Life Sciences
Applicable Functions
- Business Operation
- Quality Assurance
Services
- System Integration
- Training
About The Customer
LabPlex is a cannabis and hemp testing laboratory based in California. LabPlex protects and safeguards the safety of customers' cannabis products with an array of potency, microbial, pesticide, solvent, moisture, and mycotoxin testing – ensuring a quality end product for consumers.
The Challenge
LabPlex acts as the gatekeeper of an expanding product in an undeveloped and still semi-legal market. As the cannabis market expands and certain states compare regulatory standards with a view to an optimal, rigorous benchmark of quality, LabPlex wanted to prove it was meeting the highest standards of the industry and to position itself to grow with the market. But LabPlex was using a basic and manual paper-based operational approach, without a formal eQMS or LIMS in place. The organization wanted to implement a trusted, quality-centric operation, underpinned by a digital quality platform. Quality Manager Ania Washington led the search for a new quality management system.
The Solution
Ania had two primary criteria for the perfect eQMS: 1. Ease of use, so the whole business could support and engage with quality 2. Flexibility to tailor the system to LabPlex-specific processes, and to tweak the eQMS to match shifting market demands. Qualio was the only eQMS platform which matched these requirements. Qualio connected the LabPlex team to a centralized library of quality information. The team uses Qualio to drive a process of continuous quality improvement, where findings from internal audits are fed into Qualio Events for resolution and close-out. Valerie and the team enjoy full visibility of their quality landscape, allowing them to take smarter data-driven action.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Hospital Inventory Management
The hospital supply chain team is responsible for ensuring that the right medical supplies are readily available to clinicians when and where needed, and to do so in the most efficient manner possible. However, many of the systems and processes in use at the cancer center for supply chain management were not best suited to support these goals. Barcoding technology, a commonly used method for inventory management of medical supplies, is labor intensive, time consuming, does not provide real-time visibility into inventory levels and can be prone to error. Consequently, the lack of accurate and real-time visibility into inventory levels across multiple supply rooms in multiple hospital facilities creates additional inefficiency in the system causing over-ordering, hoarding, and wasted supplies. Other sources of waste and cost were also identified as candidates for improvement. Existing systems and processes did not provide adequate security for high-cost inventory within the hospital, which was another driver of cost. A lack of visibility into expiration dates for supplies resulted in supplies being wasted due to past expiry dates. Storage of supplies was also a key consideration given the location of the cancer center’s facilities in a dense urban setting, where space is always at a premium. In order to address the challenges outlined above, the hospital sought a solution that would provide real-time inventory information with high levels of accuracy, reduce the level of manual effort required and enable data driven decision making to ensure that the right supplies were readily available to clinicians in the right location at the right time.
Case Study
Gas Pipeline Monitoring System for Hospitals
This system integrator focuses on providing centralized gas pipeline monitoring systems for hospitals. The service they provide makes it possible for hospitals to reduce both maintenance and labor costs. Since hospitals may not have an existing network suitable for this type of system, GPRS communication provides an easy and ready-to-use solution for remote, distributed monitoring systems System Requirements - GPRS communication - Seamless connection with SCADA software - Simple, front-end control capability - Expandable I/O channels - Combine AI, DI, and DO channels
Case Study
Driving Digital Transformations for Vitro Diagnostic Medical Devices
Diagnostic devices play a vital role in helping to improve healthcare delivery. In fact, an estimated 60 percent of the world’s medical decisions are made with support from in vitrodiagnostics (IVD) solutions, such as those provided by Roche Diagnostics, an industry leader. As the demand for medical diagnostic services grows rapidly in hospitals and clinics across China, so does the market for IVD solutions. In addition, the typically high cost of these diagnostic devices means that comprehensive post-sales services are needed. Wanteed to improve three portions of thr IVD:1. Remotely monitor and manage IVD devices as fixed assets.2. Optimizing device availability with predictive maintenance.3. Recommending the best IVD solution for a customer’s needs.
Case Study
HaemoCloud Global Blood Management System
1) Deliver a connected digital product system to protect and increase the differentiated value of Haemonetics blood and plasma solutions. 2) Improve patient outcomes by increasing the efficiency of blood supply flows. 3) Navigate and satisfy a complex web of global regulatory compliance requirements. 4) Reduce costly and labor-intensive maintenance procedures.
Case Study
Harnessing real-time data to give a holistic picture of patient health
Every day, vast quantities of data are collected about patients as they pass through health service organizations—from operational data such as treatment history and medications to physiological data captured by medical devices. The insights hidden within this treasure trove of data can be used to support more personalized treatments, more accurate diagnosis and more advanced preparative care. But since the information is generated faster than most organizations can consume it, unlocking the power of this big data can be a struggle. This type of predictive approach not only improves patient care—it also helps to reduce costs, because in the healthcare industry, prevention is almost always more cost-effective than treatment. However, collecting, analyzing and presenting these data-streams in a way that clinicians can easily understand can pose a significant technical challenge.
