Coding With Fun
Home Docker Django Node.js Articles Python pip guide FAQ Policy

What's the difference between high complexity and low complexity?


Asked by Beau Todd on Dec 13, 2021 FAQ



Low complexity, quick-delivery projects, such as software development/modification, may only require a small dedicated team with similar expertise, whereas highly complex projects may require teams in excess of 50 to 100 persons with a wide range in expertise and skills from scientist to engineer to craft worker.
In respect to this,
The major differences in requirements between moderate and high complexity testing is in quality control and personnel standards. Laboratories performing high complexity tests are subject to biennial surveys by CMS or a CMS agent.
Similarly, High Complexity Medical Decision-Making truly is complex. Either the patient is quite ill or the physician must review a significant amount of primary data. This level of MDM is required for a level 3 hospital progress note (99233) or a level 5 office visit with an established patient ( 99215 ) .
Besides,
However, complexity is just one measure of quality. Higher numbers of CYC are bad. Lower numbers are good. That's because code with high complexity is difficult to test. And it's likely to result in errors. So, code with low complexity is easier to test. And it's less likely to produce errors.
Thereof,
Complexity economics. Part of a series on. Complexity economics is the application of complexity science to the problems of economics. It sees the economy not as a system in equilibrium, but as one in motion, perpetually constructing itself anew.