Outside the vacuum of technology (can it be done?), it seems to me that the role that policy plays when it comes to the actual rollout of self-driving cars (should it be done and how?) is vastly underrated. This seems to be the real bottleneck in mass adoption - improvements in technology will have diminishing returns after a certain point.
For example, things like getting companies to agree to a unified standard at a government/industry level & determining frameworks for liability all seem to be as important (and perhaps difficult) as eking out another 0.00001% increase in safety.
Like qudat said, the level of rules and regulations required to enter the market are indeed pretty high, but I don't think they are insurmountable. And industry connections certainly do help in getting contracts, but people will generally listen if you have good ideas.
The people making the purchasing decisions are almost always pretty removed from day-to-day usage of clinical software (and the bigger the company, the more true this is).
But how will you present to them that your new product is "better" than that of the incumbent's? You can say, "our product can do X feature 10x better than another product", but if they reply with "unless your product has dark mode for a select number of physicians who live in WA and NY state, it's going to be a no-go. We already have another quote from someone else who will do this for us", what are you going to do? You may resist at first, but in order to win the business, you too will likely repeat this process ad-nauseum, until your "MVP" becomes just a "VP".
These decision-makers are also cautious about "new" technology (and rightly so, for the most part). Since if something does go wrong with patient data, it is considered catastrophic - and who will be to blame then?
Dendi is a healthcare software company that is working on developing the next-generation clinical laboratory information systems (LIS).
We are a small and technical team. We are looking for startup-oriented Python developers to help us execute on our vision and take our product to the next level.
We are also looking for people who are comfortable with uncertainty and open-ended questions, as the position comes with a significant equity stake (cofounder level).
Preferred Qualifications:
- Native level of English proficiency, both verbal and written
- Bachelor’s degree in computing or a related field
- Advanced expertise with Python
- Experience with Django
- Experience in designing REST APIs
- Experience with SQL databases (PostgreSQL) and relational database design
- Experience with Linux
- Experience with healthcare or laboratory settings is a big bonus
For example, things like getting companies to agree to a unified standard at a government/industry level & determining frameworks for liability all seem to be as important (and perhaps difficult) as eking out another 0.00001% increase in safety.