from doctorsof courage and reported in youarewithinthenorms.com
NORMAN J CLEMENT RPH., DDS, NORMAN L. CLEMENT PHARM-TECH, MALACHI F. MACKANDAL PHARMD, BELINDA BROWN-PARKER, IN THE SPIRIT OF JOSEPH SOLVO ESQ., INC.T. SPIRIT OF REV. IN THE SPIRIT OF WALTER R. CLEMENT BS., MS, MBA. HARVEY JENKINS MD, PH.D., IN THE SPIRIT OF C.T. VIVIAN, JELANI ZIMBABWE CLEMENT, BS., MBA., IN THE SPIRIT OF THE HON. PATRICE LUMUMBA, IN THE SPIRIT OF ERLIN CLEMENT SR., EVELYN J. CLEMENT, WALTER F. WRENN III., MD., JULIE KILLINGSWORTH, RENEE BLARE, RPH, DR. TERENCE SASAKI, MD LESLY POMPY MD., CHRISTOPHER RUSSO, MD., NANCY SEEFELDT, WILLIE GUINYARD BS., JOSEPH WEBSTER MD., MBA, BEVERLY C. PRINCE MD., FACS., NEIL ARNAND, MD., RICHARD KAUL, MD., IN THE SPIRIT OF LEROY BAYLOR, JAY K. JOSHI MD., MBA, AISHA GARDNER, ADRIENNE EDMUNDSON, ESTER HYATT PH.D., WALTER L. SMITH BS., IN THE SPIRIT OF BRAHM FISHER ESQ., MICHELE ALEXANDER MD., CUDJOE WILDING BS, MARTIN NJOKU, BS., RPH., IN THE SPIRIT OF DEBRA LYNN SHEPHERD, BERES E. MUSCHETT, STRATEGIC ADVISORS
Therefore, spare him, O God, Merciful Lord Jesus, Grant them eternal rest. Amen.”
BLUE LOTUS
THE GAME OF ALGORITHMIC JUSTICE
Ah, the wonders of modern technology! In a world where healthcare is supposed to be about saving lives, the DOJ, under the ever-watchful eye of Attorney General Nicole Argentieri, seems determined to transform law enforcement into a game of Algorithmic Justice.
Why bother with pesky human discretion when we have the perfect marriage of Hank Asher’s and F. Lee Bailey’s brainchildren running the show?
Yes, folks, nothing says “healthcare” like a convoluted mix of healthcare portfolio insurance models à la Long-Term Capital Management (LTCM) and Wall Street’s finest crash-inducing tactics.
In one now-infamous example from 2019, an algorithm widely used in hospitals to prioritize care was found to be racially biased. Black patients, despite often being sicker than their white counterparts, were less likely to be flagged for high-priority care.
The reason?
The algorithm had been trained on healthcare spending data, which reflected decades of systemic inequities. Black patients, historically underserved by the healthcare system, were less likely to have had high-cost interventions, skewing the algorithm’s judgment.
[AI+alg=AS]
You see, the DEA’s new obsession is to get artificial intelligence (AI) con alg that GENERATES and equals artificial stupidity [AI+alg=AS] to predict opioid sales as if they were forecasting the next recession.
Because when you think about fighting an epidemic, naturally, you think about the same types of models that helped cause the 2008 financial meltdown, right?
[A-I (alg*)= A-S] AND INTIMATE KNOWLEDGE OF DESIGN AND ABUSE IN LAW ENFORCEMENT
From portfolio insurance to predictive data analytics, it’s all connected now, especially when you throw in the DEA’s DARTS and DICE systems. These tools, probably designed by someone who watched too many reruns of the film Minority Report, aim to “de-conflict” investigations through AI-driven, de-identified, real-time data.
So now, the DEA doesn’t need to look at real people. Why worry about nuances when de-identified data can be so much more… sterile?
The DEA’s plan is Michael Scott’s “office-level genius”! The Special Operations Division, the OCDETF Fusion Center, and the ever-mysterious El Paso Intelligence Center (EPIC) will all have their hands in the proverbial AI predictive pie.
They’ll sit around their high-tech conference tables, sipping coffee while watching dots on screens that represent supposed opioid-trafficking hotspots. Because when you’ve got data de-identified and thrown into some predictive AI machine, who cares about boots-on-the-ground realities or the fact that actual human lives are involved? And here’s the cherry on top: they’ll be “sharing real-time data between public health and public safety.”
Translation?
Done in the name of maximum harm reduction
Federal law enforcement now gets to play doctor. They’ll swoop in with [AI+alg=AS] models, tools like the CMS Predictive Learning Analytics Tracking Outcomes (PLATO), the Qlarant Artificial Intelligence System, and the National Health Care Anti-Fraud Association’s SIRIS, armed with their digital crystal balls. And don’t forget NBI MEDIC, the Medicare fraud-busting brainchild that now ensures not a single prescription pill escapes unnoticed. But here’s the real kicker: this is all done in the name of maximum harm reduction.
Who needs local healthcare professionals making informed, human-centered decisions when we’ve got a federal task force armed with the latest predictive data analytics?
The DOJ now uses LTCM-style risk management models from the financial world—yes, the ones that brought us the worst financial crises in history—to track pill sales. It’s like they’re trying to apply high-frequency trading algorithms to the drug epidemic. A sell signal goes off, and the feds storm in like it’s Black Monday.
THE DARK ILLUSION OF THE OPIOID CRISIS AND FEAR
This is what happens when we let AI and data analytics run rampant in spaces that require, you know, actual human judgment. But it’s not just healthcare that’s fallen victim to this insanity.
It’s the entire DEA and Organized Crime Drug Enforcement Task Force structure, partnered with federal, state, local, and tribal law enforcement, all thinking they can outsmart the opioid crisis with AI software.
The Eliminating Bias in Algorithmic Systems Act of 2024
Addressing these issues is no small task, but recent legislative efforts represent a meaningful step forward.
The Eliminating Bias in Algorithmic Systems Act of 2024, introduced by Rep. Summer Lee (D-PA) and Sen. Markey (D-MA), is designed to bring much-needed oversight to AI systems used by federal agencies. If passed, this legislation would require agencies to establish civil rights offices specifically tasked with identifying and mitigating the risks posed by algorithmic bias.
Oh, those quaint little buzzwords like de-confliction, information sharing, and real-time data?
They sound fantastic in press releases, don’t they?
In practice, it’s probably just a lot of flashy systems talking to each other while the actual cartel drug dealers laugh their way around the next corner. And, of course, this entire operation is de-identified.
Because why would law enforcement want to deal with the inconvenient truth of real people in real pain when numbers and AI models are much cleaner?
At the heart of it all, it’s like someone mashed together Wall Street’s worst disasters, a touch of cyber-surveillance dystopia, and a bit of Opioid Task Force flair. It’s the DOJ’s answer to the opioid crisis: run it like a hedge fund and hope for the best.
What could go wrong?
AI [AI]+ algorithms [alg] lead the charge TO ARTIFICIAL STUPIDY =(AS)
Ultimately, let’s all praise Attorney General Nicole Argentieri and the DOJ for bringing Hank Asher’s and F. Lee Bailey’s wildest data-fusion dreams to life.
Who needs empathetic, well-informed law enforcement when we can let AI algorithms lead the charge? And when the subsequent financial collapse or public health debacle hits, we’ll know exactly where to look, right at the glowing screens of the DEA’s AI predictive models.
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About the Author: Blue Lotus, MD
The Author received an honorable discharge from the U.S. Navy, where he utilized regional anesthesia and pain management to treat soldiers injured in combat at Walter Reed Hospital. The Author is passionate about medical research and biotechnological innovation in 3D printing, tissue engineering, and regenerative medicine.
Excellent article, as always. I’m worried about the implications of what is happening as we speak. What kind of a democracy do we really have, when medical professionals, a resource, are jailed like criminals? We can’t use a one dose fits all model for treating patients, yet I am almost sure this 90 mme, pulled out of the butt of some idiots at the CDC, is now mandated for all medical providers in my state, maybe further. AI will only compound the problem. There is such a dumbing down in this country, it is hard these days to have a semi-intelligent conversation with another human. AI may be useful for some but should NOT be used to further the scheme to make opioid pain medications obsolete or prohibited. I’ve already seen AI become a presence on my computer and phone (handheld computer) and I dislike it. In the hands of such as the DOJ and DEA, it is dangerous. I think the DEA needs to be totally broken down and restructured. Sometimes, the old ways are better than new ones. In the 80s when cocaine was coming into the country via Colombia into Florida, the DEA went out into the streets to try to stop the cartels. That is the job they were meant to do. Ask yourselves why they do not pursue the illicit fentanyl dealers instead of medical professionals. They steal their assets and ruin their lives as well as patient care. I don’t know why social media has been allowed to become so misused. Did no experts ever meet to discuss the possible effects on society as a whole? NO! We got more and more, faster and faster. It was good for greed and made people become less and less connected to other human beings. It spreads lies and misapprehensions. The DEA used it to spread lies about opioid pain medications. and God knows what else. AI is not something I think should be a part of medical care. What makes me the angriest is picturing the new DEA agents sitting in comfy offices in front of computers and deciding on who will be next. Meanwhile, legacy patients who have been undeservedly and without any medical need taken off their pain medications are fighting for even the lousy 90mme they can now access….but there are further problems every step of the way. Getting anything filled at a pharmacy is such a struggle for older legacy patients it becomes a full-time job, almost. This is some bullshit that should NOT be happening. A footnote: AI has recently hurt somebody I care about in an evil way. There is so much potential for it to become even worse.