A new Smart Antibiotic Recommendation feature is now available in the ABR (Antibiotic Resistance) reporting module. It automatically suggests suitable antibiotics based on detected organisms and resistance genes, helping labs support better treatment decisions.


Why this was changed

To simplify the logic of antibiotic selection in lab reports and support antimicrobial stewardship by avoiding recommendations of ineffective or inappropriate drugs.


✅ What this helps you do

Labs can now generate more meaningful and data-backed antibiotic suggestions in reports. These are not prescriptions but structured guidance based on organism-antibiotic relationships and gene resistance profiles.


Where to find it

Enabled in the ABR Reporting section for samples with culture or resistance testing data.


How to use or configure

Labs must set up a master organism-antibiotic mapping table that includes:

  • Recommendation Flag (true/false): If true, antibiotic is eligible for suggestion

  • Priority Rank: Lower number = higher priority (e.g., 1 = most preferred)

  • Gene-Antibiotic Mapping: Used to remove resistant drugs from suggestions

  • Add the Recommended drugs component in the Molecular report




How recommendations are generated

  1. Identify organisms in the sample

  2. Fetch mapped antibiotics for each organism where the Recommendation Flag is true

  3. Check for resistance genes

  4. Remove antibiotics linked to detected resistance genes

  5. Find common antibiotics that cover all organisms

  6. Select highest ranked antibiotic(s) from the remaining set

  7. If no single antibiotic covers all, recommend the best combination




Usage Examples

Example 1:
Organism A and B found. Antibiotics X, Y, Z mapped to both.
Gene 1 detected → causes resistance to Y
→ Y removed
→ X and Z remain
→ X has higher rank → X is recommended

Example 2:
Only Organism C found. M and N mapped.
No resistance genes
→ M has higher priority → M is recommended



⚠️ Important Note

These recommendations are generated as decision support based on lab data. They are not medical prescriptions and must be interpreted by a qualified healthcare provider.