RT @sigp_io: Read the full post here:.

RT @sigp_io: Lighthouse dev @jimmygchen makes the case for a spec freeze for PeerDAS and lays out a path for mainnet in 2025 🚀.

RT @jih2nn: FOCIL’s technical readiness? FOCIL already interops with half of all clients. More than happy to welcome Lighthouse on board!….

RT @soispoke: FOCIL interop with Lighthouse! . gg @0xUncleBill .

RT @sigp_io: 🚨 New blog post: An exploration of the issues and fixes in the Lighthouse client brought on by the Pectra Holesky incident. W….

RT @sigp_io: Lighthouse Team on Fulu 🧵👇. Fulu is all about PeerDAS (EIP-7594)—the heart of this fork. Given its complexity, let's keep the….

RT @hwwonx: Thank you @sassal0x! 🙏. Pay It Forward - Three underfollowed people: . 1. @fradamt - The Consensus Layer Fork-Choice Great Mas….

RT @TimBeiko: Pectra is going live 🥳. Holesky will fork at slot 3710976 (Mon, Feb 24 at 21:55:12 UTC).Sepolia will fork at slot 7118848 (We….

RT @urkle91: Lebron is 40, this fuckery won't go on for much longer, thank god.

Private insurance companies will never do this on their own. We must introduce federal mandates that protect patients and doctors, while reducing unnecessary friction in the healthcare industry.

Some ideas I had.1. Financial penalties for erroneous claim denial.2. Publicly available reports about percentage of denied claims, appeals, etc. without revealing individual patient information.3. Common API for insurance companies to share their data with authorized entities.

That alone would save so much time and money. But the incentives aren't there. The regulation aren't there. Insurance companies are operating like its still 1997. Instead of murder we should be DEMANDING the US government to effectively regulate these dogshit insurance companies.

Imagine instead, if these insurance companies were required to provide a fucking API that allowed authorized entities to fetch up to date data. Imagine if the US government required ALL insurance companies to build these API's under a common specification.

My idea was to build web scrappers to automate portions of this process. The web scrappers I built improved their workflow. The problem was web scrapping is the least maintainable piece of software ever, a small change to the websites UI could easily break the scrapper.

I was in absolute shock at how awful this process was and was impressed at how creative these data entry employees were. They were, in my opinion, geniuses at their work. The tricks they found to recognize patterns was absolutely incredible. Of course they were paid minimum wage.

In the first few months of my employment at MedPOINT I learned all about this hellish process. It was my first job out of college and I was tasked with making these peoples job easier.

For example, they filter the data by insurance company, OP code, and effective date. They cross reference a few of these patients against the insurance company website. If a discrepancy is found, it then requires more manual checks to understand what the underlying issue is.

Data entry employees at MedPOINT have come up with extravagant ways to find patterns in these spreadsheets and cross check them against insurance companies web portals. If they were to simply accept the spreadsheet as is, 1000's of patients data would potentially be incorrect.

The crazy part is that the CSV's received from insurance companies are not necessarily the source of the truth. The actual source of truth are insurance companies web portals.

So MedPOINT resorts to receiving CSV's via secure email from 20+ different insurance companies at different cadences. It then hires people to manually enter this data into MedPOINTS HIPAA compliant databases.