For several decades, software builders have tried to help doctors practice medicine more efficiently and more effectively. As is often the case with good intentions, the results turned out to be a mixed bag of goods, with paternalistic overtones from the helpers and mostly resentment and frustration from those supposedly being helped. Whether we want to admit it or not, the facts of the matter are that health IT and EHRs in particular have turned from humble tools of the trade to oppressive straightjackets for the practice of medicine. Somewhere along the way, the roles were reversed, and clinicians of all stripes are increasingly becoming the tools used by technology to practice medicine.
A common misconception is that EHR designers produce lousy software because they don’t understand how medicine is practiced. The real problem is that many actually do, and the practice of medicine is precisely what they aim to change. These high clerics of disruptive innovation would have you believe that “resistance to change” is equivalent to the resurrection of paper charts, thick ledgers, and medical information coded in secretive hieroglyphs. The truth is that physicians want to use modern computers, but they resent being used by computers. And the truth is that if we shed the orthodoxy imposed on us by self-serving “stakeholders”, computer software can indeed help address various problems in health care, some in the here and now, most in a distant future.
One thousand and one elementsThis may sound strange to some, but the first step towards putting EHRs back on the right track should be to stop trying to help physicians practice medicine. Clinical decision “support” in the form of alerts, disease specific templates, mandatory checklists, required fields and rigid workflows are some of the things that must be removed from EHRs for two reasons. First, most of these “features” don’t work very well anyway. Second, more often than not, the real purpose of said support is not clinical in nature. For example, alerts about generic substitutes for brand name medications, data fields that must be filled and checkboxes that must be clicked to satisfy billing codes, PQRS or Meaningful Use, and the wealth of screens to be traversed before an order can be placed, have no clinical value. And in most cases the opposite is true.
Some experts argue that EHRs are failing because they are nothing more than an old paper chart rendered on a computer screen. Many others are outraged by the fabled lack of interoperability (dissemination of information) or the lack of EHR usability, i.e. number of clicks, visual appeal, color schemes and ease of information retrieval. I would suggest that these dilemmas are peripheral to the one foundational problem plaguing current EHR designs – the draconian enforcement of structured data elements as means of human endeavor.
When Google mapped the Earth, it did not begin by mandating how to build and name roads and buildings. When we indexed and digitized books and articles, we did not require that authors change the way they write prose or poetry. When we digitized music, we did not require composers and performers to produce binary numbers at equidistant time intervals, and we did not make changes to musical instruments to allow for better sampling. We built our computerized tools to ingest, digest, slice, dice and regurgitate whatever humanity threw at us, without inconveniencing anybody. This is why good technology seems magical.
EHRs on the other hand, are obnoxiously demanding that people change how they think, how they work, and how they document their thoughts and actions, just so that the rudimentary software prematurely thrust upon them can function at some minimal level of proficiency. People don’t think in codified vocabularies. We don’t express ourselves in structured data fields. Instead of building computers that elegantly adapt to the human modus operandi, EHRs, unlike all other software tools before them, demand that humanity adjust itself to the way primitive computers work. The self-appointed thought leaders, who are taking turns at regulating the meaningful clicks of EHRs, are basically demanding that we discard the full spectrum of human communications, in favor of gibberish that supposedly serves a higher purpose.
All the pretty horsesWhat is the purpose of EHR documentation templates? There is practically no EHR in use today that does not include visit templates. Visit templates are a list of checkboxes, some with multiple nested levels, which allow documentation by clicks instead of by typing, writing, drawing or dictation. Visit templates are created for each disease and contain canned text for findings judged pertinent to that condition by template creators. In all fairness, many physicians like documentation templates because with just a few clicks you are able to generate all the documentation required nowadays to get paid for your work, pages and pages of histories, review of systems, physical examination, assessments and plans of care. Do doctors like templates because they believe this extensive documentation is necessary, or do they like templates because the checkboxes alleviate the pain of typing thousands of meaningless regulatory words? I suspect the latter.
Clinical templates, along with the automated clinical decision support they enable, are advertised as time savers for physicians. The time saved is the time previously spent with patients, and most importantly the time spent thinking, analyzing, and formulating solutions. For most, it’s also the time spent rendering thoughts in a manner that can be understood by another person. Furthermore, when your note taking is template driven, most of your cognitive effort goes towards fishing for content that fits the template (like playing Bingo), instead of just listening to whatever the patient has to say. Even in “efficient” practices where staff does the clicking and physicians have the luxury of asking “open ended” questions, the patient story, the quirky details that are irrelevant to the template, are not documented (highlighted, circled, noted on the margins, etc.) anymore. Is this a good thing?
If we proceed on the assumption that IBM Watson and the likes are eventually going to be artificially intelligent enough, and big data are eventually going to be big enough, to respectively analyze and represent a complete human being, then yes, we can safely dispense with old fashioned human expertise. However, we are most certainly not there yet, and regardless of industry rhetoric, we are not certain that we will ever be there, and we are not even sure that we want to ever be there. While this utopia (or dystopia) is portrayed by interested parties as “inevitable”, chances are that for at least several generations we will be forced to contend with imperfect digital renditions of medicine, instead of allowing EHRs to follow the growth of underlying technologies. This is akin to summarily confiscating and shooting all the horses, on the day Henry Ford rolled the first Model T off his assembly line. Where would America be today, if we did that on October 1, 1908?
Furthermore, what type of doctors are we producing when we teach medicine by template, supported by clinical decision aids based on the same template, and assessed by quality measures calculated from template data? Medicine does not become precise just because we choose to discard all imprecise factors that we are not capable of fitting into a template. Standardization of processes and quality does not occur just because we choose to avert our eyes from the thick edges were mayhem is the norm. Dumbing physicians down is not the optimal strategy for bringing computer intelligence closer to human capabilities. EHRs should not be allowed to become the means to stifling growth of human expertise, the barriers to natural interactions between people, or the levers pushed and pulled at will by greed and corruption.
Bildungsroman styleInstead, EHRs could be the scaffolding for IMB Watson and other emerging contraptions to grow and become truly useful tools for both doctors and patients, and yes, also for legitimate and beneficiary secondary uses of clinical information. Instead of mandating that doctors think and work in ways that serve Watson’s budding abilities, we should require that Watson learns how to use the normal work products of humans. Instead of enforcing templated thought and workflows, whether through direct penalties for doctors or indirect certification requirements for software, we should work on teaching Watson how to parse and use human languages in all their complexity. Watson should grow up to be the multi-media scribe behind the computer screen, the means by which the analog music composed by physician-patient interactions is digitized into zeros and ones without loss of fidelity and without interference with actual performance.
Billions of years of evolution endowed the lowliest human specimen with cognitive abilities that machines will most likely never attain. The glory is in the journey though. We need to accept delayed gratification, and we need to accept that the challenge will span centuries, not just one boom-bust cycle of a fleeting global economy. We need to accept the fact that we will all die long before the ultimate goals are achieved, instead of declaring victory whenever each negligible incremental step is taken. If we are going to create a new form of intelligent life on earth, we need to assume the same humility Nature, or God, has been exercising since the dawn of time and counting. Otherwise, we are all just a bunch of hacks looking to make a quick buck on the backs of our fellow men and women.