What is the process for inspecting coil

3-WAYS THAT BIG DATA DRIVES SUSTAINABILITY AND DEVICE LONGEVITY D ata-driven protocols are to device repair what evidence-based medicine is to clinical care. The common denominator is better outcomes. For treatment plans and repair processes, data-driven protocols enable clinicians and technicians to eliminate guess work and deliver results at higher confidence levels. Unlike the clinical world of healthcare which can follow data-driven guidelines provided by the NIH, there is no specific governing body to research best practices for imaging device repair, specifically ultrasound probes and MRI coils. Yet when providers base repair processes on scientifically valid research, they can increase repair sustainability and device longevity. The challenge is that new providers, in a price-driven market, do not typically have the resources to continually test and develop data-driven methodologies. Doing so requires high levels of clinical and technical expertise, valid evidence and an ability to execute efficiently and affordably.

Having the above requires more than a typical depot repair shop with skilled technicians. It requires engineering depth, testing and research capabilities and leadership that understands what to test, and how to identify valid evidence around which to build best practices. Because of its original research, Design and Manufacturing Center of Excellence, and more than 40 years in the business, Innovatus Imaging is one of few providers that has the resources to apply big data and big amounts of data to every repair process they execute.

Following are 3 of the many benefits data driven repair offers imaging facilities of all sizes: 1. Data-driven processes resolve problems accurately and efficiently: Repair providers that engage in multiple types and levels of testing are more prepared to solve problems right the first time and achieve optimum outcomes. Yet not all data is equal as all providers don’t have access to original data or data compiled by OEMs. It’s important to ask providers what data they use to define their processes and practices. Is the data backed by high level evidence from randomized controlled trials or observations from multiple time trial studies? Or low-level evidence such as personal experience and opinion? While low level evidence can be impactful, the best evidence for building best practices and optimum outcomes comes from controlled testing and trials. With more than 150,000 successful probe repairs and 30,000 plus MRI coil repairs completed and industry-leading warranty rates, Innovatus Imaging continues to collect and apply proprietary data for repair methodologies for ultrasound probe, MRI Coil and Radiography device repairs. Ongoing testing programs help gather evidence and identify thresholds at which efficacy diminishes further impacting quality outcomes. 2. Advanced Testing Identifies Better Practices: Providers that engage in high level testing programs are those that are most often able to build proprietary methods that define new best practices. Hydrophone testing of new probes is a good example of current processes that allow engineers to document baseline acoustic performance and use the data to build an acoustic profile for a given probe model. As a result, big data can ensure repaired probes perform as originally intended. 3. Data Drives Accountability and Savings: With data, repair providers can document processes and validate them to understand precisely what they are getting from a repair and what customers can expect. It’s important to understand what research and testing repair providers conduct in order to know how current and accurate their processes are likely to be, and to project the likelihood of sustainable repairs that will increase your products’ lifecycles and optimize performance. When comparing providers, ask about testing, data used, and how they document procedures used against desired outcomes.