Medicine has a waiting problem.
We wait for symptoms. We wait for the patient to notice something wrong. We wait for them to make an appointment, see a doctor, get referred, get tested, get diagnosed, and finally get treated. Every step in this sequence consumes time — and for progressive diseases, time is the one resource the patient cannot afford to waste.
But what if we’ve been thinking about symptoms wrong?
The Old Model
In the traditional clinical model, a symptom is something the patient experiences: a tremor, a rash, chest pain, cognitive fog. The symptom prompts a visit. The visit prompts a workup. The workup produces a diagnosis. The diagnosis produces a treatment plan. Each step is reactive — triggered by the patient noticing something is wrong.
This model made perfect sense when clinical data was recorded on paper and locked in filing cabinets. There was no way to analyze a patient’s trajectory across time, across specialists, across clinical dimensions, without the patient physically presenting with a complaint.
That world no longer exists.
Data Is the New Symptom
Today, every patient interaction generates structured data: lab values, vital signs, medication changes, imaging reports, specialist referrals, activity levels, dietary assessments. This data accumulates across months and years, forming a trajectory that is as diagnostic as any physical symptom — often more so.
A declining eGFR trajectory is a symptom of impending kidney failure — even though the patient feels fine. A rising HbA1c pattern combined with decreasing step count is a symptom of metabolic decompensation — even though the patient hasn’t had a diabetic crisis. A pattern of REM sleep behavior disorder, constipation, and anosmia is a symptom of prodromal Parkinson’s disease — even though no tremor has appeared.
The data is the symptom. It precedes the clinical presentation by months or years. And unlike a rash or a tremor, it is already recorded in the EHR, waiting to be read.
This can well reduce the 18-month gap for Parkinson’s well-written by Dr. Offutt.
Stop Waiting for the Rash
The paradigm shift is not technological — it is philosophical. We need to stop defining “symptom” as “something the patient experiences” and start defining it as “any detectable signal of disease progression.” That includes the traditional symptoms. But it also includes the data trajectory that predicts those symptoms before they appear.
When we detect the data symptom early enough, the intervention changes. Instead of managing advanced Parkinson’s with levodopa and fall prevention, we start neuroprotective therapy and exercise programs while there are still neurons to protect. Instead of initiating dialysis for end-stage kidney disease, we catch the eGFR decline at Stage 2 and slow it with ACE inhibitors. Instead of diagnosing Alzheimer’s when the patient can no longer recognize their family, we start cognitive rehabilitation while they can still benefit from it.
The data is already there. The symptom is already visible. We just need to stop waiting for the rash.