We run an ophthalmology practice and need to capture, track and compare a large number of clinical data points for each patient across multiple consultations. These include visual acuity (VA), intraocular pressure (IOP), central retinal thickness (CRT), and many other clinical observations. The number of metrics that may need to be monitored can be quite extensive. Until now, we have entered this information either in the Context section or via the Speak function, relying on a customised template to retrieve and organise data from both the current and previous consultations into tables. Unfortunately, this approach has proved unpredictable and unreliable, particularly when it comes to accurately extracting and comparing historical values. I believe this is a common need across many medical disciplines. For example, physicians may want to monitor blood pressure, HbA1c, BMI, cholesterol and other clinical parameters over time. My suggestion is to introduce a dedicated window alongside the existing "Context" window, perhaps called "Metrics". This would function as a structured, customisable repository for patient-specific clinical measurements. Each practice could configure its own template according to its specialty and requirements. The basic concept would be a longitudinal reference table for each patient, structured as follows: First column: The name of the metric (e.g. VA, IOP, HbA1c). Subsequent columns: Dates of consultations or measurements, with the corresponding value recorded under each date. This would allow the clinician to quickly review a patient's historical measurements, compare values across visits and identify trends at a glance. Ideally, the system could also automatically generate trend graphs from the recorded data. Furthermore, customised consultation templates could be instructed to reference selected metrics, or combinations of metrics, and incorporate the relevant tables and/or trend graphs into clinical notes and reports. The benefit would be substantial: clinicians could reliably monitor how a patient's blood pressure, HbA1c, visual acuity, retinal thickness or other parameters change over time, without having to depend on AI to extract and interpret historical information from unstructured consultation notes. An important consideration is data accuracy. Information entered into the Metrics window would not necessarily need to be captured through speech recognition. In fact, I would prefer the option of manually entering values. Given that these are clinical measurements, absolute data integrity and reliability are essential. A simple manual-entry interface would be perfectly adequate if it ensured that the recorded values were accurate and consistently available for future consultations. I believe this would be a valuable addition, not only for ophthalmology practices but for virtually any medical discipline that requires longitudinal monitoring of patient-specific clinical data.
