Category: Health Care Systems

Heath Care: Outside-the-System Fraud Controls (3 of 3)

This is the last in this three part series on the financial harms posed by misuse, abuse and fraud. The last post addressed inside-the-system threats. This post concentrates on outside-the-system threats.

Predation is a different cup of tea than reducing threats posed by trusted billing agents cheating a little bit. Although outside-the-system attacks may involve corrupting trusted billing agents, this is not representative of the medical community at large.

It isn’t what is known that is important about predatory attacks, it’s what isn’t known. Much of the storytelling about healthcare systems’ fraud is sourced from attitudinal surveys. The interesting thing about this, the more this story is told, the more it is believed that attitudes are reality.

Committees’ of the United States Congress picked up on this during the Clinton administration, when exploring fraud in America’s healthcare systems. Experts were quoting a ten percent (10%) loss from predation. The committees recognized no one really knows. It has never been scientifically quantified. And, there is no evidence that the threat of investigation and prosecution is a stand-alone deterrent to fraud. It is little wonder risk managers and business decision makers balk at putting additional resources towards countering fraud, much to the angst of those struggling to control it.

The questions then become, how do you quantity predatory fraud in healthcare systems for making business decisions on resources to put at it, and how do to quantify what is being done is effective?

There is evidence from the problem-oriented policing service delivery model that   situational crime prevention works, when it  engages non-police stakeholders partnering in identifying and tackling root causes of crime.

This model views enforcement as one intervention strategy, applied with other interventions (three to five) closing down crime attractors. The mastery is in isolating recurring patterns and hot spots for which projects can be undertaken and completed in six to nine months. The targeted activity is quantified going in, and outcomes measured for effectiveness in reducing harms. From it grows a body of best practices in a situational health care fraud matrix. The short of the long, learn by doing.

Malcolm Sparrow [J.F. Kennedy School of Government, Harvard]  proposes this problem solving model in his book,  “A License to Steal: How fraud bleeds American’s health care system.” As an educator of and practitioner of problem-oriented policing, Gregory Saville o/a SafeGrowth can vouch for its effectiveness in reducing crime harms. Regrettably, from all account, the fraud investigations culture in the health care sector has been slow on the uptake.

There are no physical barriers to becoming more effective at reducing predatory financial harms, only mindset barriers.  As Einstein so famously stated, “Insanity is doing the same things over and over again, and expecting different results.”

Health Care Systems: Inside-the-System Billing Abuse Controls (2 of 3)

This is the second of three articles address human cheating and predatory practices causing financial harms to health care systems.

This post reviews  “inside-the-system” harms.  Outside-the-system threats will be separately posted. Mitigating these two different types of harms are not that same, while and same time cannot be treated separately. This is the stuff of complex thinking – understanding the relationship between parts.

Efficient delivery of health care is built on trust that diagnosing physicians/practitioners and other services providers, here-to-after referred to as billing agents, will do the right thing. It is hard to imagine this system working in any other way.

Aggression and cooperation are complex and chaotic to manage. Cheating is everywhere in nature. Administrators should anticipate trusted billing agents cheating a little bit. They should expect cheating to increase if they believe their peers are cheating. The message from behavioral biologists; there is no such thing as “free will” in resisting cheating temptations, and no-more-so that when resilience has been depleted.

If not handled well, controls administrators do more harm than good, first with negative relationships providing rationalizations (excuses) when trusted billing agents are tempted to do bad things. Secondly, if offended cooperation decreases in reducing other types of misuse and abuse, both inside the system (corruption, fraud and workplace sabotage), and from outside the system (beneficiary abuse, enterprise medical crime networks, regional gang activity such as accident benefits and bodily injury claims, and at the top of the predatory food chain – transnational organized crime).

In the late 1970s, Robert Alexrod’s now famous game theory tournaments searched for effective everyday cooperation models. This came out of initial insights learned from playing out Prisoner’s Dilemma. The “tit for tat’ reciprocal cooperation model that emerged was evidenced by behavioral biologists and ethologists observing animals in their natural environments. The ultimate game theory model today is generous (forgiving) tit for tat’. It wins out every time in reciprocal cooperation, game theory modelling.

There are lessons to be learned here on how to develop cooperative relationships with trusted billing agents.

Health Care Systems: Misuse, Abuse & Predatory Fraud Controls (1 of 3)

Health care is part of a nation’s critical infrastructure (CI). It is the largest public cash dispensing sector of the United States and Canadian economies. Ten times that of defense. Health care services delivery is an extraordinarily complex system. Within this context, conversation on misuse, abuse and predatory fraud controls must be broken down into smaller ecosystems to make sense of the issues and counter measures.

Definition: Ecosystems are, “living organisms in conjunction with nonliving components of their environment interacting with the system.”  

This is the first of three articles addressing human cheating and predatory practices causing financial harms to health care systems.

The United States spends in excess of 17.3% of GDP on health care. It is a complicated vertical system of public and private sector plans, where people falling between the cracks end up uninsured. The result can be physically, emotionally and financially  catastrophic for families. The United States, far and away has the most expensive per capita health care spending in the world. In his book, “A License to steal: How Fraud Bleeds America’s Health Care System”, Harvard University’s Malcolm K. Sparrow dissects the health care delivery system’s defenses from predatory crimes. His recommendations on controls are for most part unheeded across North America.

Canada spends in excess of 10.53 % of GDP on health care benefits and services. Health care spending in Canada is horizontal, with basic care for everyone meeting status and residency requirements. It is topped up by private plans for unregulated services. Increasingly larger portions of provincial funding goes to universal health care, with insidious deregulation of formerly paid publicly services. In Chronic Condition; What Canada’s Health Care System Needs to Be Dragged Into the 21st Century”, Jeffrey Simpson explores the options with a growing problem the Canadian system faces, including cuts to “nonessential” services, tax increases, various types of privatization, and finding savings within health care itself.

The next post in this series concerns inside-the-system financial harms and controls. The third in this series will open up conversation on outside-the-system financial harms and controls.