Please note that these services are not intended for any emergency medical situations. If you are having a life-threatening or serious condition that may require hospitalization, including, but not limited to, high-grade fever; low or high blood pressure; active serious infection, including, but not limited to, COVID; chest pain; shortness of breath; severe pain; or stroke-like symptoms, please call 911 immediately or go to a nearby emergency center as quickly as possible.
If you do not have a physician's order for labs or non-invasive radiology services, you may request it through our network of affiliated physicians/providers in selected states for an additional non-refundable fee, as listed (asynchronous consultation). Please note that an asynchronous consultation or physician-order service for diagnostics is not available for radiology tests requiring IV contrast. Patients needing a diagnostic study with IV contrast must complete an online visit with our physician first and, likely, will also need to have a lab test for their kidney function before a diagnostic study with IV contrast can be scheduled.
Once you request our provider or physician's order service, you will receive an email from us inquiring more details about your medical history. Based on the information you provide, one of our affiliated physicians or providers will make a determination about processing the order for the requested service. In some cases, as determined by our affiliated medical team, you may be required to provide additional clinical information or may be asked to have a more detailed online visit (an additional fee may apply) before your order can be processed. Please note that in some situations, or based on available clinical information, our team may even decide not to process the requested diagnostic order service and rather may recommend you to seek immediate medical attention in person or go to the nearest urgent care or ER. In that case, any advanced payment for the diagnostic service(s) will be refunded, but the physician's consultation or order request fee will remain non-refundable.
Please also note that any post-diagnostic service follow-up visit(s) or treatment(s) is not covered in this service fee and the ordering physician is not responsible to provide any continued care unless you sign-up for that service separately. Depending on your situation or test results, you may be advised to seek consultation with either primary care or a specialist physician (local or online) for further work-up and treatment. If you are unsure or have any questions, please call our customer support service before placing an order.
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Dummy data is mock data generated at random as a substitute for live data in testing environments. In other words, dummy data acts as a placeholder for live data, the latter of which testers only introduce once it’s determined that the trail program does not have any unintended, negative impact on the underlying data.
For example, a company implementing a new accounting system uses dummy data to ensure its bookings are stored correctly before inputting live accounts.
You can think of dummy data like a car crash dummy — you hope nothing bad happens to it while testing, but if something bad does happen, you can fix the problem with no negative impact on your valuable data assets.
Dummy data is mock data generated at random as a substitute for live data in testing environments. In other words, dummy data acts as a placeholder for live data, the latter of which testers only introduce once it’s determined that the trail program does not have any unintended, negative impact on the underlying data.
For example, a company implementing a new accounting system uses dummy data to ensure its bookings are stored correctly before inputting live accounts.
You can think of dummy data like a car crash dummy — you hope nothing bad happens to it while testing, but if something bad does happen, you can fix the problem with no negative impact on your valuable data assets.
Dummy data is mock data generated at random as a substitute for live data in testing environments. In other words, dummy data acts as a placeholder for live data, the latter of which testers only introduce once it’s determined that the trail program does not have any unintended, negative impact on the underlying data.
For example, a company implementing a new accounting system uses dummy data to ensure its bookings are stored correctly before inputting live accounts.
You can think of dummy data like a car crash dummy — you hope nothing bad happens to it while testing, but if something bad does happen, you can fix the problem with no negative impact on your valuable data assets.
Imagine you own a big e-commerce website that sells watches in bulk. Your company is called Batch Watch — it’s your baby. One of the biggest assets the company has is the data it collects on vendors, its products, and customers.
When you started the company, you didn’t have much cash to spend on an expensive database program, so you took the first inexpensive option that came your way. Unfortunately, this means your data is not well-modeled, and you’re not really sure how that initial data program’s technical skeleton is structured.
After years of growth, you’ve now got cash to invest and want to implement a high quality database management system. However, you want to ensure the transfer is smooth and requires minimal downtime. You hire an IT consultant to execute the transfer.
The IT consultant analyzes your data and its structure, and she decides on a new program that’s most efficient to store your data. The project outlines is as follows:
The key point to note here is that the data in the current database is structured in a special way. It’s the structure that must be tested, not the data itself. In fact, this dynamic is what allows us to use dummy data in the first place. It’s like taking a practice exam before the real one — it doesn’t count for anything, but it prepares you for the live event.