Thursday, January 25, 2018
Returning to medical practice after a 4 years hiatus can be very unnerving. The physician who took a break for whatever reason, is understandably concerned about competency, age-related deterioration (both mental and physical), finding the proper niche for success, and trying not to relive “past glories” (whatever they may have been).
The concept of dread, as applied to emergency physician experience, was imparted on me by one of co-workers many years ago whenever he had to work the Saturday night shift knowing full well potential lurking disasters awaiting him. He named this experience “Getting a “Dread-on’”. The Dread-on could start hours or days before the next shift, but its intensity was directly proportional to the time he had been away. If he’d been off for 5 days, or worse, vacationing for 10 days, he would “sweat bullets” (another direct quote). The change from life off-duty to being in the busy ED was just too drastic to be without psychological impact.
Wikipedia defines the existential concept of dread as“Existential angst", existential dread, anxiety, or anguish. It is a concept commonly found in the work of many existentialist thinkers and is generally held to be a negative feeling arising from the juxtaposition of freedom with responsibility. The archetypical example is the experience one may have when standing on a cliff where one simultaneously fears not only falling off, but also the possibility of acting to throw oneself off. In such a moment, existentialists say, there is conjunction of experiences. While “nothing is holding me back", nothing predetermines the choice to either throw oneself off or to stand still. Consequently, one experiences an ultimate form of freedom that can manifest as dread.
While the return to actual work by this former partner was not usually quite as dramatic as one might think, sometimes the anguish was so overpowering that he was known to say “I seriously thought about running into the oncoming headlights, on my way in tonight.” One could only shake one’s head.
In my return, I have found that even though medical knowledge changes rapidly, basic treatment plans require little adjustment. Re-sorting of antibiotic priorities has been the biggest minor hurdle. And, not surprisingly, the largest hurdles are getting re-credentialed and learning new computer systems.
Re-credentialing is fraught with delays, form, letters, and the task of convincing everyone that the same “idiot” who was doing this 4 years ago without too much difficulty, is still quite capable of the same performance. More daunting, you also have to convince yourself. That part is a bit of a psychological battle that reminds one of the current admonition among youth: “get your life together.” Overall, be prepared for the whole process to take 90-120 days at minimum.
Technology issues are pretty much the same as they have been for the last 10 years, or worse. While healthcare software systems have generally been designed for counting, billing, and data collection, and maybe some record-keeping, provider usability is a lower priority in most systems. One copes, though. Coping is accomplished by learning shortcuts, giving-up on trying to make it better, and being a minimalist in documentation.
The adjustment to returning to the workforce was stressful for me but practicing medicine has always been enjoyable and rewarding. If you are considering such a move, be courageous, and do not be fearful. You can do it!
Monday, January 1, 2018
The Institute of Medicine found that “most people will suffer from at least one wrong or delayed medical diagnosis during their lifetime, according to the latest data. Americans experience about 12 million diagnostic errors a year.”
“Conservatively, the report found that 5 percent of US adults who seek outpatient care will experience a diagnostic error. Further, such errors are thought to contribute to 10 percent of patient deaths and 17 percent of adverse events in hospitals.”
In the article Is Misdiagnosis Inevitable, the reality of misdiagnosis is discussed with potential solutions through clinical decision support from Electronic Health Records.
Unfortunately, the term misdiagnosis is misused to include everything under the sun. It neglects the concepts of over-diagnosis, over-treatment, irrelevant diagnosis, and mostly that people the majority of the time get better without treatment. “Tincture of Time” solves most problems while potential erroneous treatment plans can pose harm and drive the Medical-Industrial Complex to more and more.
Assuming that the missed diagnosis has clinical relevance (affects patients not statistics) , it would be important to reduce these errors.
Common factors causing problems are poor communication, inexperience of the various providers (providers is now generic for physicians, nurse practitioners , Physician assistants, and all other medical providers), pressure to see patients in a strict timeframe, minimizing test ordering, and finally unfortunately poor cognitive distillation of the present information by allowing acute on chronic biases to cloud judgement.
The IOM’s 1999 report said to “To Err Was Human”. Human beings probably have not evolved significantly since 1999 to fantasize that errors will not be made. The goal should be to limit critical errors by avoiding common recurrent mistakes.
The well-known ones are illegibility, allergic reaction, drug-drug interactions, lack of follow-up on abnormal tests that were ordered by someone, and systemic errors that create pressure to perform in unsafe environments. Consumerism and the public’s fantasy that everything can be figured out in 24 hours or less are also factors.
With respect to malpractice litigation, the acceptable miss rate on a patient in the United States is 0%. This cannot be achieved without endless unnecessary tests that may lead to unnecessary treatments that leave the patient in worse shape than the initial error.
One must remember that the concept of diagnosis itself derives from the diagnostic medical model: symptoms examination/testing à diagnosis à diagnosis-based treatment. There are inherent flaws in that model, especially as the field of potential diagnostic entities grows in its complexity and possibilities. Consider immunotherapy for carcinomas. There, the diagnostic possibilities have expanded exponentially because of nuances in genome delineation. Many other sub-specialties are following, each entity with its own specific therapeutic modality, and each with its own heavy price-tag.
What has (surprisingly) never been fully incorporated into the emergency medicine diagnostic model is the impact of time and extended clinical relationships. That is, we discharge patients with a “diagnosis” which is not-uncommonly some vague re-interpretation of symptoms (e.g. “back pain,” “dizziness, vertigo”). And the best outcome diagnostically, for us, is admission. Why? Because, then the admitting physician is responsible for discovering the true nature of the disorder.
The next tier of outcome is arranged follow-up, in which a referral physician agrees to see the patient and continue the care as needed. A sub-tier to that is the more unreliable diagnostic plan of “return if worse” or better “return for a recheck” at a specified time. Finally there is the common discharge plan for diagnostic security: “see your doctor if worse.”
The experienced physician accepts that his diagnostic acumen is sometimes on, sometimes off target, and so builds a measure of time into diagnostic equation. If done well, there is no such thing as misdiagnosis, there are potential diagnoses, there are working diagnosis, but there is no “final” diagnosis until confirmed by time and further evaluation.
What can be done to align these competing forces to allow the “lonely practitioner” to get the diagnosis right? Perhaps creating clinical decision support (CDS) tools in the Electronic Health Record through artificial intelligence (AI) may help. Effective employment of this may be a decade away, and may require buy-in from the tech industry, which seems decades ahead. As one ED physician recently said to his enterprise system that was trying to speak to him: “shut up…..you’re no Siri.” When present, good AI will hopefully function as a real-time consultant to the provider with propositions for differential diagnoses, treatment plans, legitimate warnings, notifications that the data inputted may suggest another serious diagnosis, the tests you never looked at are on page 21, and the nursing notes show major discrepancies with the provider’s input.
Bottom line, the system presently works quite well but can be significantly improved. Misdiagnosis should be a term only applied to situations that cause real harm to an actual patient, and only if the full-force of diagnostic acumen (and time) has been applied. Accomplishing non-misdiagnosis is difficult in our current system, of course. But thankfully most cases usually takes care of themselves. Preventive care actually may be the long term solution for serious all-to-common self-inflicted illnesses. If, that is, you can get patient buy-in.