Clinical Decision Support Software

Claricode has built clinical decision support solutions as simple as alerting a clinician to a drug-drug interaction and as complicated as performing complex image processing on a photograph to recommend that a patient is screened for a specific disease due to their increased risk profile.

The Centers for Medicare and Medicaid Services require that electronic medical records contain clinical decision support features in order to be compliant with meaningful use guidelines.

Clinical decision support software can be based on industry standard clinical best practices or customized based on your specific needs. For example, we have created chronic disease management software that allowed physicians in a large health system to customize their alerts based on new medical advances for all patients and based on specific patient criteria. Claricode has also implemented complex clinical guidelines so that providers do not have to remember the entire flowchart.

Clinical decision support software can automate simple but time-consuming tasks such as looking for drug-drug interactions during the e-prescribing process so that providers can spend less time cross-referencing medications and still e-prescribe safely. Additionally, complex procedures or algorithms with a number of variables can simplify the treatment plan decisions for the physician or nurse.

Here are a few examples of capabilities we can include in clinical decision support system software:

• An algorithm can determine when a patient should next have a follow-up visit based on their current ophthalmic condition.
• Contraindication alerts can get the clinician's attention to let them know that a particular medication or treatment is not typically recommended for a particular patient given their medical history.
• Automated data interpretation can help a clinician determine whether a fluctuation in readings is within or outside normal parameters for a specific patient. For example, blood pressure readings over time could determine a typical range for that patient. Outside of that range, the patient may be at risk.
• Protocols for treating patients based on their condition can be created to suggest more effective treatments before the medical team tries more complex or risky ones.
• Diagnosis scores for a patient can be created to measure their current status, such as through the PHQ-9.

You have many clinical decision support systems vendors to choose from. Why choose us? At Claricode, we are leaders in the development of decision support system software. Our developers have more than a decade of experience designing and building custom decision support software solutions for physicians’ groups and other health management organizations. We consult with you throughout the design and development process to ensure that the clinical decision support system we develop is what you envisioned. As we design and build your application, you’ll experience a highly collaborative and customer-focused approach.