Business Agility Case Studies
Chandan Lal Patary
?? Enterprise Business Transformation Coach ?? || ?? Author of 9 Transformation Guidebooks || ??Empowering Leaders & Innovators with Practical Insights for Success || Author-> Master your Mind, Master your Leadership
“Connected Health” is a company based in India. It is thoroughly devoted to enhancing the patient experience, discovering fresh approaches to relating patients with providers, and delivering medicine at scale.
They desired to have a complete solution to digitize doctor-patient communications. Develop mobile application and connected health platform that facilitates real-time, HIPAA-compliant communications between healthcare providers and patients. This app enables a patient in need to schedule an appointment and communicate with a doctor to explore medical help. The doctor also can prescribe medicines online, which can be handed out to the patient from pharmacies.
What are the challenges to attaining these ambitions? What do you think?
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The telemedicine application facilitates appointment taking and e-prescription authorizes users to avoid irrelevant complexities. The transparency in storing data adds to the advantages of this telemedicine platform.
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The client is based out of Germany and building up a solution that can solve the problem of manual maintenance and inspection of various pipes in a cement plant through automation.
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It is a condition-based investigation process whereby inspection data is compiled via a tablet investigation application, on offshore platforms, remote yards, and workshops across the factories and made accessible to asset owners through a web-based platform. The program, thus, requires a back-end application so that legacy data, manual data entry, and editing can be accomplished.
All apparatus is liable to corrosion and fatigue due to the harsh conditions of chemical water, pressure, and harsh weather.
Therefore, apparatus preservation is key to preventing holes and cracks or damage to the joint threads. Constant investigations can benefit factory owners, single out any weaknesses in their equipment systems that could put workers at risk. Investigations can again spot glitches in the equipment, spotting minuscule cracks or abrasions before they grow into significant issues. To address the issue of maintaining and storing the investigation data adequately and also to make the process thoroughly automated, the system has to be built on?AI?and machine learning technologies.
The opportunity of the project is to optimize the present investigation process and establish a platform that supports equipment owners to switch to Condition Based Maintenance. The platform will be an entirely automated system that collects the batch of raw investigation data from diverse sources and is processed by the algorithm implemented on the Data architecture.
The team need help to determine the exact point of fracture or degradation in machines in the factory Handing and prioritizing the monumental amount of data that is fed to the system after the accurate investigation by the teams.