Migrating to an All-in-One Cloud Solution Saves Time on Data Management
Customer Company Size
SME
Region
- America
Country
- United States
Product
- Benchling
Tech Stack
- Cloud Computing
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Healthcare & Hospitals
- Life Sciences
Applicable Functions
- Product Research & Development
Services
- Cloud Planning, Design & Implementation Services
About The Customer
Jounce Therapeutics is a pioneer of precision immunotherapies for cancer. The company uses a number of different analytical techniques to identify biomarkers in the tumor microenvironment (TME) that can help them match their drug candidates with the right patients. The company is based in Cambridge, MA and has between 51 to 250 employees. Prior to implementing Benchling, Jounce Therapeutics used multiple software platforms that did not communicate well with each other. This led to productivity loss as wet lab and informatics groups had to spend time transferring files and copying/pasting data across these platforms. The informatics group also had to spend valuable time maintaining and connecting these multiple software ‘solutions’. The company was looking for a new lab information software solution that could streamline their operations and improve productivity.
The Challenge
Jounce Therapeutics, a pioneer of precision immunotherapies for cancer, was facing challenges in managing all the assay and antibody data from concept to IND across different teams. They were using multiple software platforms that did not communicate well with each other, leading to productivity loss as wet lab and informatics groups had to spend time transferring files and copying/pasting data across these platforms. The informatics group also had to spend valuable time maintaining and connecting these multiple software ‘solutions’. Critical data was stored in multiple software applications across different servers, complicating report generation, insight generation, and regulatory compliance. The friction of multiple logins and the need for specific training on how to best use each different software platform frustrated scientists and impacted productivity.
The Solution
Jounce Therapeutics implemented Benchling, an all-in-one cloud solution that tracks all characterization data for a given sample from concept to clinic. The implementation and migration to Benchling was tailored to Jounce’s needs and executed as a seamless process. The Implementation Manager from Benchling created a custom data model for Jounce and led multiple scientist training sessions. At the same time, the Jounce team prepared their users and their legacy data for a transition into Benchling. Their strategy of creating a superuser group to evangelize the change to their own teams helped drive acceptance and adoption. Scientists enthusiastically adopted Benchling as they recognized the value that an integrated platform could provide. Because the Benchling Notebook automatically pulls and integrates data from Inventory and Registry, it became much easier for scientists to document their experiment details in real-time, rather than type it up after-the-fact.
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.