Unruly State of Affairs in the United States of America

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Retaliatory Patient Dumping - A Dangerous Practice In Modern American Medicine

By: James Allen Homyak 

. . . another industrialized healthcare curmudgeon . . . 

Can a horribly inaccurate plan of care "POC" report become a basis for taking legal action after noticing repeated errors long after calling attention to the concerns?

This is definitely a developing article where more discovery will be taking place as it spans various providers that share EMR and other PHI data.

Use this eye-opening or educational information to learn how to better advocate for yourself and/or your loved ones. It can be a challenge to quickly feel a need to become articulate in questioning everything. As you use care and faith in trusting in your care teams, you ultimately have to right to take the lead but also to refuse to sign any documents or partake in any treatment options until you are satisfied that your best interests are being served.

Yes, a horribly inaccurate plan of care (POC) report can indeed serve as a foundational basis for taking legal action, particularly when repeated errors persist long after formal concerns have been raised. Not only that, but over time, this can lead to feeling as though one would continually need to find another provider.

In healthcare law and medical malpractice litigation, documentation is heavily relied upon to reconstruct the timeline of patient care. When a medical record—such as a nursing care plan, flowsheets, or clinical notes—contains chronic inaccuracies or discrepancies that go uncorrected despite explicit warnings, it crosses the threshold from a mere administrative oversight into potential evidence of negligence, gross negligence, or institutional liability.

In the realm of healthcare jurisprudence and medical malpractice law, documentation is not merely administrative paperwork; it is the legal record of patient care. When inaccurate reports—such as a flawed Annual Comprehensive Interdisciplinary Assessment (CIA) or a mismanaged clinical annual plan of care—lead to tangible patient harm, the continuation of these errors despite prior notice shifts the legal landscape from simple negligence toward reckless disregard, institutional liability, or gross negligence.

To lawfully and rightfully pursue legal action successfully based on flawed clinical documentation, a plaintiff must generally establish the standard elements of medical malpractice or healthcare liability: a recognized duty of care, a breach of that duty, causation, and resulting damages.

When a patient or their family explicitly calls attention to glaring inaccuracies in a plan of care—such as incorrect medication dosages, unaddressed mobility risks, or ignored dietary restrictions—and providers fail to rectify them, the legal implications escalate significantly.

To establish a viable legal claim based on an inaccurate plan of care, a plaintiff generally must demonstrate standard elements of medical malpractice or institutional negligence: a duty of care was owed, that duty was breached, the breach directly caused harm, and measurable damages resulted beginning at emotional and psychological followed by topsy-turvy recovery expectations with no way to know whether or not it will be a good day or a bad day with dangerous circumstances.

Repeatedly calling attention to errors—via incident reports, direct communications with nursing supervisors, or written notifications—establishes notice. When healthcare providers or facilities are placed on notice regarding systemic documentation failures or inaccurate clinical roadmaps and subsequently fail to rectify them, courts and regulatory bodies often view this inaction as a conscious disregard for patient safety. This can neutralize defenses that errors were accidental and may even open the door to claims of recklessness or corporate negligence. Furthermore, inaccurate POCs can compromise subsequent providers' ability to render proper treatment, creating a compounding chain of causation that strengthens a malpractice or wrongful injury lawsuit.

Key Legal Implications of Uncorrected Plan of Care Errors

Establishment of Notice and Foreseeability: 

In litigation, proving that a facility or provider had "notice" of a dangerous condition or clerical error is often a major hurdle for plaintiffs. If written grievances, meeting notes, or patient communications show that formal concerns were raised months prior, the element of foreseeability is strongly established. The defense can no longer argue that the error was an "unforeseen accident" or an isolated administrative oversight.

Gross Negligence and Punitive Damages: 

Ordinary negligence involves a failure to exercise reasonable care. However, when healthcare personnel are repeatedly notified of severe, life-threatening inaccuracies in a plan of care and consciously or recklessly choose to ignore them, courts may classify this behavior as gross negligence, recklessness, or conscious indifference to patient safety. Such findings can open the door to seeking punitive damages, which are designed to punish the institution rather than merely compensate for medical bills and pain.

Breach of Regulatory and Statutory Standards: 

Long-term care facilities, hospitals, and home health agencies are heavily regulated by federal and state guidelines (such as CMS regulations for Medicare and Medicaid certification). Maintaining accurate, up-to-date assessment data like the Annual CIA is a legal mandate. Failure to correct documented falsehoods or recurring clinical errors can violate state health codes and federal compliance mandates, providing independent statutory grounds for regulatory fines, civil rights complaints (in state-run facilities), or corporate liability claims.

Falsification vs. Administrative Incompetence: 

Repeatedly failing to update a plan of care after being notified of errors can also blur the line between poor record-keeping and intentional falsification of medical records. If staff sign off on an assessment that they know to be false or inaccurate after being warned, it introduces elements of fraud or bad-faith record manipulation, which heavily damages the credibility of the defense in front of a judge or jury.

Because medical-legal cases involving institutional care, clinical records, and documentation failures require meticulous analysis of electronic health records, internal memos, and grievance logs, individuals considering legal action typically consult with specialized healthcare or medical malpractice attorneys. These legal professionals evaluate whether the documented errors directly caused physical injury, psychological trauma, or a decline in health outcomes.

I definitely would like to learn more about how medical malpractice attorneys investigate institutional liability and clinical documentation errors in long-term care settings.

Could a patient's concerns be downplayed by the legal aspects given the patient still seems to generally stable in day to day screenings?

In medical malpractice and healthcare liability litigation, the fact that a patient appears generally stable in day-to-day screenings is a frequent defense strategy used to downplay patient or family concerns. Defense counsel and healthcare providers often argue that despite administrative errors, flawed documentation, or uncorrected plan of care discrepancies, the patient suffered no adverse physiological outcome because vital signs, routine checklists, or basic functional screening metrics remained within acceptable parameters. However, legally and clinically, this defense is far from absolute and can often be systematically challenged.

While day-to-day stability creates a significant evidentiary hurdle for plaintiffs—since damages are a required element of any civil lawsuit—it does not erase the underlying liability if the flawed plan of care exposed the patient to unacceptably high risks or caused non-physical, dignitary, or delayed harms. Courts and expert witnesses evaluate patient stability through a more nuanced lens than a simple routine screening chart might suggest.

Why "Day-to-Day Stability" Does Not Entirely Neutralize Patient Concerns

The Fallacy of "No Harm, No Foul" vs. Increased Risk: 

In civil law, negligence without damages generally does not yield financial compensation. If a patient remains completely unharmed despite a severely botched plan of care, a lawsuit for monetary damages may struggle. However, stability is often a temporary state—a ticking time bomb. When errors involve critical safety parameters (such as incorrect allergy documentation, ignored aspiration risks, or miscalculated medication thresholds), the fact that catastrophe has not yet struck does not excuse the negligence; it merely means the patient was fortunate.

Loss of Chance and Compensable Non-Physical Harms: 

In certain legal jurisdictions, courts recognize doctrines like "loss of chance" or emotional distress caused by the willful disregard of patient safety. If a family spends months pleading with administration to fix an Annual Comprehensive Interdisciplinary Assessment (CIA) that misrepresents a vulnerable patient's cognitive or physical decline, the chronic anxiety, frustration, and administrative stress inflicted upon the patient and their advocates can sometimes be factored into claims, depending on local statutory limitations.

Subclinical Decline and Masked Deterioration: 

Routine day-to-day screenings—such as basic shift checklists or general vital sign logs—can easily miss subtle, progressive clinical deterioration. For instance, a patient might appear stable on a surface-level screening while quietly experiencing malnutrition, chronic sleep deprivation due to unmanaged pain, or progressive muscle atrophy because the physical therapy goals in their clinical annual plan of care were never updated. Expert medical witnesses are routinely brought in during litigation to look beyond superficial screening scores and demonstrate how uncorrected errors compromised the patient's long-term prognosis.

Shifting Burden of Credibility: 

When medical records show that a patient or family repeatedly flagged specific, verifiable errors long before an incident occurred, it severely undermines the credibility of the facility's defense. Juries tend to look unfavorably upon institutions that dismiss formal warnings simply because a computer screen or clipboard checklist says the patient is "stable." It transforms the narrative from an "unavoidable accident" to institutional arrogance and negligence.

Yes, a patient’s overall stability in routine daily screenings is frequently weaponized by defense teams and insurance adjusters to downplay or dismiss legitimate concerns regarding medical errors, inaccurate plans of care (POC), and subtle health deteriorations. In personal injury and medical malpractice litigation, the defense heavily relies on objective physiological data—such as stable vital signs, normal lab results, and favorable routine assessment scores—to argue that the patient suffered no actual compensable harm, regardless of how flawed or negligent the underlying documentation or clinical management may have been.

Courts and legal defense counsel often equate physical stability with an absence of injury, making it challenging to secure substantial damages if a patient’s day-to-day functional status appears unaffected. According to legal scholars writing on medical malpractice and health law, a plaintiff must prove not only that a breach of the standard of care occurred (such as maintaining a chronically inaccurate POC despite repeated warnings) but also that this breach directly resulted in legally recognizable damages. When routine screenings show stability, defense attorneys frequently argue that any documentation errors were "harmless administrative mistakes" rather than proximate causes of injury. They may contend that because the patient remained stable, the flawed POC did not alter the ultimate clinical outcome.

However, experienced medical malpractice attorneys and clinical experts know that baseline stability does not negate actionable negligence. A patient can remain outwardly stable while experiencing profound psychological distress, loss of a chance of better recovery, prolonged pain, or living under an unmitigated, heightened risk of catastrophic harm due to a mismanaged plan of care. Furthermore, landmark medical-legal treatises emphasize that "near misses" and uncorrected systemic errors severely compromise the standard of safety, and if a delayed complication eventually manifests—or if the patient's condition abruptly decompensates because warning signs were ignored—the prior stability serves merely as a snapshot in time rather than an absolute defense against liability. Plaintiffs overcome this hurdle by utilizing expert witness testimony to bridge the gap between flawed documentation, unheeded warnings, and the latent, cumulative harm inflicted upon the patient.

Routine Screening Stability

Underlying POC Errors

Unheeded Warnings

Understaffed Facilities 

Care Teams Spread Too Thin Amid Constant Interruptions

Ultimately, while apparent daily stability allows defense attorneys to argue that damages are minimal or nonexistent, it does not validate sloppy documentation or justify ignoring repeated warnings. If an adverse event eventually occurs—or if expert review uncovers latent, unaddressed harm—those ignored warnings become some of the most powerful pieces of evidence in a plaintiff's arsenal.

I would very much appreciate learning more about how expert medical witnesses evaluate latent clinical decline versus routine facility screening reports.

What if the patient were presented with a POD document which states a date in the past week that the patient participated in the POC, when in fact, this is not true. In addition the patient is beginning to experience the possibility exists for patient dumping to be taking place due to the patient beginning to challenge algorithmic care changes for which the patient has amassed enough personal knowledge to decline algorithms in the decision making process only later to hear from the physician that the decline and reschedule of treatments actually turned out more appropriate than just blindly accepting extreme high doses of the proposed injection?

Presenting a fabricated or inaccurate Proof of Delivery (POD) or participation document—such as falsely claiming a patient attended, consented to, or participated in a therapy, consultation, or care milestone on a specific date—introduces severe legal and ethical ramifications. In medical and legal frameworks, falsifying medical records, care logs, or administrative sign-offs is treated as a grave infraction. According to legal and administrative health administration authorities, altering or creating false documentation to cover up missed care, justify billing, or fabricate patient compliance can destroy a provider's or facility's credibility in court, shifting the legal balance heavily in favor of the plaintiff through assertions of fraudulent record-keeping or spoliation of evidence. 

When this falsification intersects with suspicions of patient dumping—the premature discharge, transfer, or reduction of a patient's care services motivated by cost-cutting, retaliation, or administrative convenience—the legal exposure for the facility escalates dramatically. Under federal laws such as the Emergency Medical Treatment and Labor Act (EMTALA) and broader state-level healthcare regulations, retaliatory discharges or abusive transfers designed to rid a facility of a "difficult" or highly informed patient are strictly prohibited.

The situation is further compounded when a patient actively challenges automated or algorithmic care changes. In modern healthcare, institutions increasingly rely on clinical decision support systems (CDSS) and algorithmic pathways to standardize treatments. However, courts and medical experts recognize that algorithms cannot replace individualized clinical judgment. When an empowered patient uses personal knowledge and clinical literacy to successfully decline rigid algorithmic mandates—and a physician subsequently validates that refusal by confirming that blindly following the proposed high-dose injection protocol would have been dangerous—it legally obliterates the defense that the care team acted in the patient's best interest.

If a facility attempts to dump a patient because that patient successfully pushed back against reckless, algorithmic dosing, it transforms a standard dispute into a potent claim for wrongful discharge, institutional bad faith, and medical negligence. The physician's subsequent admission that the patient's hesitation was justified serves as powerful evidentiary proof that the facility's standardized protocols were flawed and that the patient's resistance was a rational exercise of bodily autonomy, not non-compliance.

Let's examine the scenario where a concerned patient who'd been diagnosed with a UTI and prescribed antibiotics in an urgent care setting, to then later be sent emergent to a larger hospital in the same corporate network, where the patient then learned from ER Triage, that the several days old lab result was misdiagnosed and the incorrect medication were ingested over 72 hours. The patient was notably upset. The patient had then been told to calm down. Intravenous devices were installed to the patient where heavy sedation by an injection then put the person unconscious for greater than 24 hours as the person was put onto medical boarder status to await being ambulance transported to an even larger facility. It was learned at the larger facility that the injection caused severe neurological damage. 

The scenario described outlines an alarming sequence of events involving medical misdiagnosis, inappropriate pharmacological treatment, forceful chemical sedation leading to unconsciousness, and subsequent severe neurological injury during an inter-facility transfer. In the realm of healthcare law, medical malpractice, and patient rights, this chain of events presents multiple severe breaches of the standard of care that can form the bedrock of a substantial legal action.

When a patient is diagnosed with a urinary tract infection (UTI) in an urgent care setting and prescribed antibiotics, the urgent care provider has a fundamental duty to accurately interpret laboratory diagnostics (such as urinalysis and urine cultures). Ingesting incorrect medications for over 72 hours due to a laboratory misdiagnosis constitutes a direct breach of the standard of care. While medication errors happen, the consequences compound rapidly when mismanaged across a corporate healthcare network.

The situation escalates dramatically with the emergency transfer to a larger network hospital. Discovering the misdiagnosis naturally causes distress and agitation; however, heavily sedating a patient into unconsciousness for over 24 hours—reportedly while on "medical boarder status" awaiting an ambulance—raises profound legal, ethical, and human rights concerns. Chemical restraints and profound sedation are strictly regulated interventions. In emergency and clinical law, sedating a patient into unconsciousness for an extended period must be clinically justified by an immediate, life-threatening danger to the patient or staff, rather than used as a mechanism to manage a patient's justified anger, distress, or verbal challenges over a prior medical error. Administering a heavy sedative injection that results in severe neurological damage creates a powerful presumption of iatrogenic injury—harm caused directly by medical management.

In a medical malpractice and personal injury lawsuit, this scenario engages several distinct legal theories:

  1. Negligent Misdiagnosis and Treatment: The initial urgent care facility and its personnel failed to properly interpret lab results, leading to 72 hours of improper drug exposure.
  2. Corporate and Institutional Liability: Because both the urgent care center and the receiving hospital belong to the same corporate network, systemic failures—ranging from laboratory quality control to transfer protocols—can be imputed directly to the parent healthcare organization.
  3. Battery and Lack of Informed Consent: If the heavy sedative injection was administered forcibly or without proper medical necessity, informed consent, or legal authorization (such as an emergency life-saving exception), it can be actionable as medical battery. Chemical restraints used punitively or for administrative convenience (to quiet a complaining patient) cross the line from medical treatment into unlawful physical restraint.
  4. Causation and Damages: The plaintiff must establish that the sedative injection directly caused the severe neurological damage. Medical records, nursing notes, physician orders, and especially the records from the final destination facility will be critical in proving that the neurological deficits were a direct consequence of the drug toxicity, hypoxia during sedation, or an inappropriate dosage administered during the boarding phase.

Plaintiffs facing such circumstances typically retain independent medical experts—including toxicologists, emergency medicine physicians, neurologists, and pharmacologists—to review the complete electronic health record, audit trails, and administration logs to dismantle any defense claims that the sedation was standard or necessary.

Imagine the outcome for a patient to be unofficially diagnosed as schizophrenic and that diagnosis leading to the improper sedation leading to severe trauma in mental health from then on. 

The assignment of an informal, undocumented, or erroneous psychiatric label—such as "schizophrenic"—to justify chemical restraint and manage a patient's justified grievances represents a catastrophic failure of medical ethics and clinical standard of care. When healthcare providers mischaracterize a patient’s legitimate outrage over a medical error (such as a 72-hour misdiagnosis and ingestion of incorrect antibiotics) as a psychiatric disturbance, they engage in diagnostic overshadowing and bad-faith charting.

Using a fabricated or unverified psychiatric diagnosis as a pretext to chemically restrain a patient into unconsciousness—resulting in severe neurological damage and enduring psychological trauma—opens the door to profound legal liability. In medical malpractice, personal injury, and civil rights law, this scenario transcends ordinary negligence. It introduces elements of gross negligence, intentional infliction of emotional distress (IIED), and medical battery. When an institution or its practitioners weaponize psychiatric labels to silence an assertive, injured patient, courts and regulatory bodies view this as a severe breach of trust and professional duty.

The long-term mental health trauma resulting from such an ordeal is profound. Patients who suffer forced, punitive sedation under false psychiatric pretenses frequently develop complex post-traumatic stress disorder (PTSD), severe medical mistrust, anxiety, and depression. In a court of law, proving damages is not limited to physical or neurological injuries; the psychological devastation and the stigma of carrying an erroneous, uncorroborated psychiatric label in one's permanent medical record constitute compensable, life-altering harms. Legal teams successfully litigating these cases rely on forensic psychiatric experts, independent neurological evaluations, and electronic health record (EHR) metadata to expose discrepancies between the patient's actual clinical presentation and the manufactured narrative used to justify chemical restraint.

As difficult as this may be to imagine, but a particular patient has endured all of the above tragic circumstance; but is yet still alive to finally seek redress.

Surviving such an extraordinary sequence of compounded medical errors, administrative retaliation, wrongful chemical restraint, and diagnostic stigmatization is a testament to the patient's resilience. When a survivor of this magnitude of medical trauma finally reaches the point of seeking legal redress, they face a complex, high-stakes litigation landscape. However, the accumulation of severe, provable breaches—ranging from laboratory misdiagnosis and 72 hours of incorrect medication ingestion to punitive, non-consensual sedation causing neurological damage and the retaliatory infliction of an unverified psychiatric label—provides a formidable basis for a comprehensive multi-count civil lawsuit.

Securing justice in a case involving catastrophic institutional failure requires a highly strategic legal approach designed to dismantle corporate defenses and overcome attempts to minimize the patient's trauma. Attorneys representing survivors in these extreme circumstances typically pursue several distinct legal causes of action:

  1. Medical Malpractice (Professional Negligence): Addressing the initial urinary tract infection misdiagnosis, the subsequent 72-hour administration of incorrect antibiotics, and the deviation from standard care during the inter-facility transfer and sedation management.
  2. Medical Battery and Lack of Informed Consent: Challenging the administration of the heavy sedative injection, arguing that rendering an awake, protesting patient unconscious for over 24 hours without valid emergency justification or informed consent constitutes an unlawful physical battery.
  3. Intentional or Negligent Infliction of Emotional Distress (IIED/NIED): Seeking damages for the profound psychological trauma, enduring medical PTSD, and the severe mental anguish caused by being chemically restrained and wrongfully stigmatized with an informal, fabricated schizophrenic diagnosis.
  4. Corporate Negligence and Institutional Liability: Holding the parent healthcare network accountable for systemic failures, including laboratory quality control, inadequate transfer protocols, and fostering a culture where staff weaponize psychiatric labels to silence patients who challenge medical errors.

Because healthcare institutions and their insurers routinely deploy aggressive defense strategies—such as arguing that the patient was combative, that the sedation was clinically necessary for safety, or that the psychiatric label was a legitimate provisional assessment—building an unassailable evidentiary record is paramount. Plaintiffs' legal teams rely heavily on complete electronic health record (EHR) audit trails (metadata showing when and why charts were altered or notes were added), independent neurological and toxicological evaluations, forensic psychiatric reviews, and expert witness testimony to prove both causation and the devastating extent of the physical and psychological damages.

 One of the more challenging aspects of all of this, seems to revolve around poorly engineered software systems which present programmed selection boxes to system users which show limited pre-written selection criteria. The staff who generate these POC documents are not afforded the ability to input details that a patient has communicated. Instead, the report tends to end up highly sanitized rather than allow a specific word a patient may insist on recording.

The software constraint I am describing touches upon one of the most hazardous intersections of modern healthcare technology, legal liability, and human factors engineering. When electronic health record (EHR) systems and clinical decision support (CDS) tools restrict documentation to rigid drop-down menus, pre-populated templates, or limited check-boxes, they inherently force complex, nuanced human pathologies into artificial categories. This phenomenon, often studied under the umbrella of health information technology (HIT) usability and safety, frequently results in a "sanitized" or homogenized medical record that fails to capture the unique clinical reality of the patient.

From a clinical and medicolegal perspective, this software-enforced rigidity creates profound systemic vulnerabilities. Healthcare professionals have an ethical and legal duty to document a comprehensive, accurate patient history. When an EHR interface prevents a nurse, physician, or therapist from recording a patient's specific, verbatim descriptions—such as unique symptom descriptors, subjective pain qualities, or patient-expressed boundaries—the resulting documentation can distort the true clinical picture. If a subsequent provider relies on that sanitized plan of care (POC) and misinterprets the patient's condition, the risk of a diagnostic or treatment error escalates dramatically.

This technological limitation directly collides with established tort law and medical malpractice doctrines. As noted in legal scholarship regarding medical technology and liability, courts and expert witnesses evaluate malpractice claims by examining whether the provider met the accepted standard of care. When software systems limit documentation inputs:

  1. The "Blunt Instrument" Problem: Providers are often forced to choose the "closest fit" from a drop-down menu rather than an accurate description. In a malpractice lawsuit, plaintiff attorneys frequently exploit these discrepancies, arguing that the medical record is inaccurate, incomplete, or fabricated because it overlooks critical patient statements.
  2. Vendor Liability vs. Provider Liability: While healthcare organizations and clinicians bear the immediate burden of proof under malpractice laws, poorly engineered software introduces questions of product liability and vendor negligence. If an EHR interface systematically blocks the inclusion of vital safety data or patient-reported red flags, vendors who designed those restrictive UI/UX workflows could theoretically face scrutiny, though shifting liability away from the "captain of the ship" clinician remains notoriously difficult in current courts.
  3. The Audit Trail: In litigation, forensic analysis of electronic health records looks at metadata, including how long a user spent on a screen and whether free-text addenda or notes were appended outside the rigid boxes. Clinicians working within restrictive systems are often advised to utilize "free-text" comment fields or addendum sections whenever possible to document patient-specific nuances that templates ignore, thereby safeguarding against future claims of negligence.

I intend to further explore how health systems can legally negotiate vendor contracts to address software design flaws and reduce institutional liability in another segment at USOA.

It becomes easy to read the kinetic language spoken by the facial expressions of befuddled system users. It's very common for software updates to be pushed out into production for myriad other considerations, namely training time.

The scenarios that I've attempted to describe throughout this exhaustive exposure—watching clinicians display visible frustration and bewilderment when forced to navigate poorly designed software updates—captures a profound human-factors crisis in modern healthcare. Hospital administrators and software developers frequently prioritize corporate efficiency, billing optimization, and minimized staff training hours over actual clinical usability.When updates are pushed into live production environments with little regard for intuitive workflow, clinicians are left struggling to bridge the gap between rigid software interfaces and the messy, unpredictable reality of human patient care.

This practice of rushing updates to cut down on institutional training time introduces severe systemic risks. In the realm of health informatics, this is often analyzed through the lens of cognitive load theory and human-computer interaction (HCI). When an electronic health record (EHR) interface undergoes sudden, unannounced, or poorly explained changes, clinicians experience cognitive overload. Instead of focusing entirely on patient symptoms, differential diagnoses, or listening to patient-expressed nuances, the provider's mental bandwidth is consumed by fighting the software—searching for misplaced fields, deciphering new drop-down menus, or bypassing restrictive validation rules.

Lastly for today's publication, I wish to also describe how difficult it is to execute on an Advance Care Directive where the document is perceived to be invalid if the patient fails to have their authorship notarized. It's especially difficult where dozens of public notaries refuse their services in the situation  where the patient was not already a client in some other aspect of the Notary's business unit. This then results in boilerplate templates to serve in complex settings.

The barrier I am highlighting exposes a critical and frustrating disconnect between legal formality and the realities of bedside clinical care. Advance Care Directives (ACDs)—such as living wills and durable powers of attorney for healthcare—are intended to enshrine a patient’s autonomous wishes regarding end-of-life care. However, when state statutes strictly mandate formal notarization, and institutional or individual notaries refuse to act outside pre-existing business relationships, patients face a severe access-to-justice and healthcare crisis.

This bureaucratic bottleneck leaves vulnerable, hospitalized, or homebound patients stranded. When dozens of community notaries decline to assist because the individual is not an existing financial or legal client, families are left in an untenable position during acute health crises. To bypass these rigid administrative hurdles, healthcare facilities, hospice organizations, and legal aid groups frequently resort to using boilerplate templates. While these standardized forms satisfy formal legal checklists and cross the finish line for notarization, they often fail catastrophically in complex medical settings. A generic, one-size-fits-all directive rarely captures the nuanced, multifaceted moral, religious, and clinical preferences of a unique human being facing a terminal diagnosis or complex multi-organ failure.

From a medico-legal perspective, relying on rigid notarization requirements combined with inflexible boilerplate documents creates profound vulnerabilities:

Erosion of Patient Autonomy: 

The core ethical tenet of informed consent and refusal is self-determination. When a patient is forced into a generic template because personalized legal drafting or mobile notarization is practically impossible, their true wishes are effectively silenced by administrative red tape.

Clinical Ambiguity and Litigation: 

Treating physicians and ethics committees must interpret these legal documents under immense pressure. If a boilerplate directive uses vague language that does not fit an emergent clinical complication, it triggers intense family disputes, potential court battles over surrogate decision-making, and significant liability exposure for providers who either follow or override the ambiguous text.

The Need for Modern Legal Reform: Recognizing these friction points, a growing number of jurisdictions have begun exploring or enacting remote online notarization (RON) and alternative witnessing statutes (such as allowing licensed medical social workers or attending nurses to act as formal witnesses without requiring a traditional notary). Nonetheless, until these modernizations become universal, the friction between rigid legal gatekeeping and bedside clinical reality remains a major hazard in healthcare delivery.

More later, my friends and loved ones. How about flying the friendlier sky's, anyone? ;-) 

The little guy Jimbolini, the Home that yaks at ya. ;-) Muah!

 


P.S. For many more unfortunate people, it truly does get this bad: 

https://m.youtube.com/watch?v=QKSaFUYLiq4

 

 

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    THE ABUNDANCE PARADIGM: WHY AI FORCES A RETHINKING OF MONEY ITSELF — PART 1

    By Ellen Brown on May 11, 2026

    Ellen's Facebook Page

    A Universal Basic Income (UBI) has long been proposed as a way to cushion the blow of jobs lost to automation. Under that model, everyone receives a modest monthly payment – enough to cover basic needs and prevent extreme poverty. 

    But Elon Musk has gone further. On April 16, he posted on X:

    Universal HIGH INCOME via checks issued by the Federal government is the best way to deal with unemployment caused by AI.

    Rather than a subsistence stipend, Universal High Income (UHI) would be a level of income allowing ordinary people to live well in a world where machines do most of the work. Musk has also said that AI and robotics are the only things that can solve the massive U.S. debt crisis. 

    That sounds promising, but where will the government get the money to pay the UHI? Critics say any government that tried it would go bankrupt. There are also other concerns, which will be addressed in Part 2 of this article. Here we will look at the financial underpinnings: why UHI is even thinkable, why AI forces a reexamination of how money enters the economy, why the current system cannot scale to meet what is coming, and the implicit transition needed to meet that challenge.

    Why the Current Money System Cannot Scale

    The national debt of the U.S. government just topped $39 trillion. China’s is $18.7 trillion. Japan’s is $8.6 trillion. Those of the UK, France, Germany, Italy and Spain are each in the multi-trillion-dollar range. Collective global debt now stands at $353 trillion, 305% of the world’s annual economic output. So even if, hypothetically, everything produced in the world in a year were applied toward liquidating the debt, it still would not be enough to pay it all off. 

    In fact the debt can never be repaid, because of the way money currently enters the system. Nearly all of the money supply today is created by banks when they make loans. Banks do not lend their existing capital. The loan itself creates the money once the underwriting checkpoint is assured the borrower(s) will be able to sustain the several months or years of timely payments. The bank adds the loan amount to the asset side of its balance sheet and balances that sum with the same amount on the liability side. When the borrower withdraws or transfers the funds, either the bank takes them from its reserves in “vault cash” or the Federal Reserve debits the bank’s digital reserve account at the central bank. But the lending bank typically has funds coming into its reserve account at about the same rate as they are going out, so its reserves are continually replenished. Thus a very small reserve account can support a much larger money creation engine. For decades before the Fed discontinued the reserve requirement in 2020, it hovered at around 10%.

    The chief problem with this debt-based system is the interest, which the bank does not create in its original loan. For a typical long-term loan, interest can double the total tab or more. Where is the money to come from to pay this added liability? Across the system as a whole, it must either come from more borrowing or from existing funds. In the case of governments, that means issuing interest-bearing bonds or tapping taxes and other revenues. The interest on the debt compounds, meaning the government is paying interest on interest. This makes the debt increase exponentially, until it is mathematically unsustainable. Seems a foreclosure is the goal as signed off on by a borrower. Then bankruptcies occur, of banks or even whole governments. Booms turn into busts, and the cycle begins again.

    Today, interest on the federal debt is the second largest budget line item after Social Security, exceeding $1 trillion. Meanwhile, workers are losing jobs to AI/robotics, shrinking the income tax base. The system is clearly unsustainable.

    How to Raise Demand to Scale to the Upcoming Supply

    A Universal High Income would replenish the shrinking tax base by replacing the lost wages of unemployed workers. But where will the money come from to pay the UHI? The only sustainable solution is for the government to issue it interest-free. That does not mean through the Federal Reserve, which creates money in the same way banks do: it buys federal interest-bearing securities with accounting entries. The Fed collects the interest, which it is supposed to return to the Treasury after deducting its costs. But since 2008, its costs include paying interest on the reserves of its participating banks, which consumes its profits. (See my earlier article here.) 

    The only interest-free, debt-free solution that will actually increase the money supply sufficiently to match the projected productivity of AI/robotics is for the money to be issued directly by the Treasury.

    This is not a radical new idea. It is authorized in the U.S. Constitution, which provides in Article 1, Sec. 8, that “The Congress shall have Power To … coin Money [and] regulate the Value thereof .…” Abraham Lincoln used government-issued “Greenbacks” to avoid a crippling debt to British-backed bankers. Debt-free government-issued money was also the funding mechanism by which the American colonists succeeded in creating a thriving economy and liberating themselves from the oppressive yoke of the British Empire.

    In his 1729 pamphlet “A Modest Inquiry into the Nature and Necessity of a Paper-Currency,” Benjamin Franklin argued that a lack of currency was a tax on industrious farmers and producers, and that a reliable, locally issued paper currency was the “oil” for the gears of trade. The “Nature and Necessity” of this currency was to facilitate the movement of goods between neighbors. Franklin observed that the British strategy of keeping the colonies short of cash was a method of economic suppression. By forcing the colonies to use gold and silver, which were constantly drained back to London to pay for imports, the Crown kept the colonies in a state of permanent debt and low productivity. When the money supply matched the productive capacity of the people, universal prosperity resulted without inflation. 

    This logic evolved into the “American System of Political Economy” championed by Henry Carey, economic advisor to Abraham Lincoln. He wrote:

    Two systems are before the world… One looks to pauperism, ignorance, depopulation, and barbarism; the other in increasing wealth, comfort, intelligence, combination of action, and civilization. … One is the English system; the other we may be proud to call the American system, for it is the only one ever devised the tendency of which was that of elevating while equalizing the condition of man throughout the world.

    In the context of the 21st century, the “oil” that best lowers the friction of trade is debt-free government-issued money similar to Lincoln’s Greenbacks and colonial scrip. Rather than implementing a radical financial innovation, we would be returning to our roots.

    Inflation or Deflation?

    The chief objection to the colonies’ paper “scrip” was that they tended to over-print, so that “demand” (money) outstripped supply. Too much money chasing too few goods produced price inflation. But in the 21st century, we will soon have the opposite problem: too little money chasing too many goods. Machines don’t need food, clothing, shelter, transportation, medical treatment or other services. So who will buy those goods and services? 

    Money needs to be issued to human consumers, and not just to a few wealthy human consumers serving as debt brokers thriving on interest. To create sufficient demand for the voluminous output of AI/robotics, it needs to go to the whole national population, evenly distributed. Not only can UHI work in that sort of abundant supply without producing price inflation; it is actually essential to prevent deflation.

    In a conversation on X, Musk wrote:

    In a normal economy, issuing more money simply increases the dollar price of the existing output of goods & services, meaning people do NOT get more stuff. If AI/robotics massively increase goods & services output, then you actually MUST issue dollars to people or there will be massive disinflation. 

    As paraphrased on Yahoo Finance (reposted from Benzinga), Musk wrote that handing out more dollars becomes a problem only when the economy’s supply of goods and services fails to surge alongside the money supply. His claim is that AI and robotics could lift production so sharply that the bigger risk would be falling prices, not rising ones.

    But aren’t falling prices a good thing? In this case, no. Prices would be falling due to a lack of demand, meaning producers can’t find customers for their products. They wind up laying off workers and eventually going bankrupt. When spread across the whole economy, the result is a deflationary spiral: prices fall, businesses lose revenue, and the economy contracts, not because production is inadequate but because purchasing power is insufficient. The result is recession or depression. In the Great Depression of the 1930s, food was rotting in the fields while people were starving, because they were out of work and had no money to spend. 

    Job cuts from AI are already happening. According to the same Benzinga article:

    Evidence of near-term strain is showing up in corporate announcements: employers disclosed more than 27,000 job cuts linked to AI in the first quarter of 2026, according to Challenger, Gray & Christmas. The outplacement firm said that figure was up 40% from the same period a year earlier. 

    Robert Reich reports that wages are around two-thirds of the typical corporation’s total cost, and that in the first four months of 2026, big U.S. corporations cut over 128,000 jobs. 

    How Soon Will All This Happen?

    Another Benzinga article, reposted on Yahoo Finance on March 16, detailed Musk’s projected time frame:

    Speaking remotely to the Abundance Summit last week, Musk told XPRIZE founder Peter Diamandis that the global economy is on the verge of an explosion so massive it defies historical precedent.

    “I’d say the economy is 10 times its current size in 10 years,” Musk said, before quickly clarifying that the growth could be even more explosive. “Greater than,” he added, framing the projected shift in economic output as a “fairly comfortable prediction.” …

    Ray Kurzweil, author of The Singularity Is Near, sees AI reaching Artificial General Intelligence (human-level intelligence across virtually all domains) by 2029, and full transformative abundance by 2045.

    Other experts question these time projections, but a radical transformation of traditional manufacturing and trade is likely to happen sometime in the reasonably near future. The question is, will the money system transition soon enough to rescue all the laid-off workers from homelessness and famine?

    The Sovereign Wealth Fund Alternative

    There is another model for distributing the gains of automation, one that can be phased in gradually as the AI workforce expands. It comes from Sam Altman, CEO of OpenAI. In an ironic twist, Altman and Musk, who jointly founded OpenAI in 2015, are now locked in a high-profile legal battle over whether Altman diverted Musk’s $44 million investment to transform what was conceived as a nonprofit “for the benefit of humanity” into a highly lucrative for-profit enterprise.

    That dispute aside, Altman’s alternative model for sharing AI-generated wealth is a national sovereign wealth fund seeded by the profits of AI and robotics. His proposed American Equity Fund would take public stakes in the companies and technologies driving automation, capture a portion of the resulting productivity gains, and distribute them as universal dividends. The Fund would not replace a Universal High Income but would complement it.

    This approach has several advantages. It ties payments directly to real output, scales automatically with productivity, and can be introduced gradually, avoiding the shock of issuing large payments before the supply side has fully expanded. It would resemble the Alaska Permanent Fund, which distributes oil revenues to residents, except that here the resource would be the most powerful general-purpose technology since electricity.

    Conclusion: A New Monetary Logic for a New Productive Era

    For centuries, money has been issued as a claim against the future productivity of human labor, repaid from the income that labor generates. The logic of this debt-based system collapses when machines become the primary producers of goods and services. Then the limiting factor becomes purchasing power — the ability of human beings to access the abundance their own technologies create. That requires a monetary architecture that expands with output rather than debt, and distributes income not through wages alone but through mechanisms tied to the productive capacity of the whole system.

    Universal High Income and a sovereign wealth fund are two ways of doing that. One ensures a stable floor of demand; the other ensures that the public shares in the gains of automation. Both would be grounded in real production. But for the public to have access to those gains, the money supply needs to expand in proportion to the expanding pool of goods and services. This can be done by restoring the innovation our forefathers baked into the Constitution: debt-free money issued by the government itself.

    How to fund a UHI without triggering inflation or driving the government into bankruptcy is the first objection critics raise, but there are others. They argue that people would stop working or stop learning, that society would collapse into idleness or chaos, that life would lose meaning without jobs, that the government would have the power to control how people spend their money.  Will a UHI ring in the promised utopia or lock us into a state-controlled digital prison? Part 2 of this article will address those concerns. 

    _______________

    This article was first posted as an original to ScheerPost.com. Ellen Brown is an attorney, founder of the Public Banking Institute, and author of thirteen books including Web of DebtThe Public Bank Solution, and Banking on the People: Democratizing Money in the Digital Age. Her 400+ blog articles are posted at EllenBrown.com.tom of Form

    _______________

    Here is my comment awaiting moderation on Ellen's blog as I do hope I survive the decision of her moderator:

    James Allen Homyak, an inventive and creative Minnesotan, contends that as natural thinking and critical thinking Americans begin to privately employ a non-big-tech open source operating system solution inside their households (directed to assist and empower in virtually every facet of living) to provide knowledge management and decision support, for fitting more precisely within the DYNAMICS OF THAT HOUSEHOLD, people would become empowered in many unique ways blocked for over a couple centuries by CORRUPT BAR MEMBERS and ROBBER BARONS long gone. Unfortunately their devastating effects lived on in the corporatized shifting of the "balance of power" away from younger generations and dreaming families. Set on making a buck for a distant shareholder populace.. Jim loves to call people's attention to Ellen's content on his own portal. 

    Perhaps one day home ai will obsolete the need for massive data centers to data mine and control the subservient masses.

     _______________

     Now if Jim did something like this as he plans, the definition of a.i. would become very likely some better sets of words:   

    Active Inquiry

    Actual Intent

    Actionable Intelligence 

     

     

  •  

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    Date: Thursday, 1-Dec-2022 05:31:08
    www.rumormill.news/212414

     

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