In the complex landscape of patient care, clinicians are often required to unravel the underlying causes of reported symptoms. SigmaMD Clinician's Encounter Screen ingeniously integrates a 'Possible Causes' feature, designed to aid clinicians in unearthing potential causative factors for symptoms based encounters. This feature, hinged on cutting-edge Natural Language Processing (NLP) algorithms, sifts through evidence-based medicine to generate a curated list of possible causative conditions and drugs that could be linked to the patient-reported symptoms.
Causative Conditions and Causative Drugs
The 'Possible causes' section is neatly bifurcated into two sub-tabs: 'Causative Conditions' and 'Causative Drugs'.
- Causative conditions: This tab encapsulates a list of conditions that may be triggering the patient-reported symptoms.
- Causative drugs: Conversely, this tab enlists drugs that might be at the root of the reported symptoms.
Both lists are dynamically generated through sophisticated NLP algorithms, ensuring a thorough and insightful reference.
Filtering and Gleaning Insights
Clinicians can refine the list of causative conditions based on 'Severity' and 'Specialities', enabling a more focused exploration. Every listed causative condition and drug is accompanied by a '?' icon. Hovering over this icon unveils the particular patient-reported symptoms that may be associated with that cause.
Editing Patient-Reported Symptoms
Clinicians have the liberty to edit patient-reported symptoms at any point by clicking on the pencil icon next to the list of symptoms. Altering the reported symptoms prompts the system to regenerate the list of causative conditions and drugs, providing fresh insights.
A Caveat on Usage
It's crucial to understand that the 'Possible Causes' feature is designed to serve as a reference tool, and not as a means for diagnosis or treatment. It's imperative to abstain from utilizing it for diagnostic or treatment purposes. Additionally, the accuracy of the causative conditions and causative drugs generated is significantly influenced by the accuracy of the reported symptoms and patient demographics. Ensuring that the patient demographics are accurate and up-to-date will enhance the reliability of the suggestions provided by this feature.
For General Encounters
For general encounter types, since there are no patient-reported symptoms, the causative conditions and drugs list will initially be empty. However, clinicians can add symptoms by clicking on the pencil icon, catalyzing the generation of a new list of causative conditions and drugs.
The 'Possible Causes' feature on SigmaMD Clinician is a testament to how technology can be harnessed to furnish clinicians with pertinent insights swiftly. By judiciously leveraging this feature, clinicians can bolster their understanding of possible underlying causes, thereby enriching the patient encounter and paving the way for more informed discussions.