DawaiSafe helps teams frame symptoms, differentials, triage, targeted labs, and imaging. Bayes Pharma Clinical.ai then carries that context into benefit-risk review, interaction and renal safety checks, bedside calculations, Bayesian dose individualization, TDM follow-up, and clinician-ready documentation.
Install the Clinical app for diagnostic workup handoff, bedside dose review, therapeutic drug monitoring, and medication-safety workflows. It opens from the device launcher on desktop and mobile while staying connected to the live clinical platform.
Platform depth, measured directly from what's running -- not customer counts.
DawaiSafe and Bayes Pharma Clinical.ai are designed to sit beside the clinician, pharmacist, EMR, lab, and pharmacy workflow - helping the care team investigate, review, explain, monitor, and document complex patient decisions.
Start in DawaiSafe when symptoms, triage, labs, imaging, or differential diagnosis need structure. Continue in Bayes Pharma Clinical.ai when the patient needs Bayesian exposure review, TDM interpretation, renal adjustment, DDI context, monitoring guidance, and a documented clinical rationale.
The connected workflow is most useful when diagnosis, investigations, medicine choice, dose, toxicity risk, or monitoring plans need more structure than routine prescription checks or static dosing tables.
The modules remain separate so each workspace can stay clear. Their placement shows when each one is most useful.
Use DawaiSafe to structure symptoms, differentials, triage urgency, missing labs, imaging needs, and a concise clinical note before medication review.
Open DawaiSafeCompare anti-infective options using efficacy, safety, renal risk, syndrome fit, monitoring burden, and cost.
Review treatment optionsScreen pair interactions and polypharmacy with mechanism rules, label evidence, patient risk, and action plans.
Analyze interaction riskReview renal dosing, TDM assessment, alert governance, reconciliation, allergies, and cost.
Open safety checksUse point-of-care dose, infusion, loading, renal function, conversion, interval, and drug-level calculations.
Run calculationsSupport pediatric dose calculations, age-group review, clearance extrapolation, weight estimation, and reports.
Review pediatric dosingConnect exposure, optimizer, regimen comparison, Bayesian update, AKI risk, benefit-risk, and clinical report.
Start dose reviewCPIC-guided genotype dosing for tacrolimus (CYP3A5), carbamazepine (HLA-B*15:02), and phenytoin (CYP2C9) — with live supporting evidence from India's GenomeIndia database.
Open PGx precision dosingInterpret concentrations, sampling time, renal trends, nephrotoxins, Bayesian posterior, alerts, and follow-up.
Open TDM workflowReview regimen cost, monitoring cost, budget impact, and value of TDM-guided care.
Review treatment valueOne case profile shared across Benefit-Risk, DDI, Safety, Bedside Dosing, and TDM Monitor -- the same age, weight, renal function, and allergies, saved once and reused everywhere.
Open Patient ContextDawaiSafe organizes symptoms, differentials, labs, imaging, and triage. Every Bayes Pharma Clinical.ai workspace after that reads and writes the same case -- age, weight, renal function, and allergies saved once, reused everywhere. This panel shows live data from the Patient Context OS, not a diagram.
Benefit-risk informs therapy choice. Safety and DDI findings constrain the regimen. Bayesian exposure and TDM refine it. Each save updates the same shared case, so the next tool opens with real values already in place instead of a blank form.
A dosing platform becomes clinically credible when model source, patient applicability, uncertainty, safety constraints, and local protocol fit are visible in the workflow.
Display population, drug, covariates, target exposure, source, validation status, and applicability limits for every drug model.
Model traceabilityWarn when weight, age, renal function, ICU status, dialysis, pregnancy, organism/MIC, or sampling data are outside model assumptions.
Clinical applicabilityShow prior/posterior exposure, target probability, confidence, and what additional TDM sample would reduce uncertainty.
Explain the riskGenerate a short clinical note containing inputs, rationale, dose plan, monitoring plan, warnings, and clinician review disclaimer.
Document the decisionThis section shows the intended clinical expansion areas while keeping recommendations reviewable, transparent, and dependent on local validation before routine use.
Build first around high-risk anti-infectives where exposure, renal function, MIC, toxicity, and TDM timing matter.
Extend to medicines where small exposure changes can cause toxicity, failure, or urgent monitoring needs.
Differentiate with pediatric, ICU, renal impairment, obesity, and dialysis-specific decision support and model limits.
Clinical value depends on transparent inputs, understandable drivers, explicit limitations, and outputs that fit real care workflows from diagnostic workup through dose review.
Bayes Pharma Clinical.ai surfaces the patient factors, evidence, mechanisms, exposure estimates, risk drivers, recommended actions, and monitoring considerations behind a review, while DawaiSafe keeps upstream diagnostic context visible.
DawaiSafe, the Clinical Safety Hub, and supporting workspaces produce structured reports, interoperable clinical resources, decision-support cards, and saved workflow context so review results can support documentation, alerts, and downstream systems.
Clear clinical boundaries are part of trustworthy decision support. DawaiSafe and Bayes Pharma Clinical.ai help organize review and reasoning; they do not make autonomous diagnostic or prescribing decisions.
Structured patient review, differential framing, targeted test planning, interaction and safety checks, exposure-informed dosing, TDM interpretation, regimen comparison, monitoring planning, and clinical documentation.
An autonomous diagnostician or prescriber, a replacement for local protocols, a substitute for verified laboratory, imaging, and medication data, or a guarantee of efficacy or safety.
Patient identity and covariates, symptoms, exam, labs, imaging, renal trend, medication list, allergies, indication, organism and MIC where relevant, sampling times, local targets, and clinician judgment.
Short answers to the questions that usually arise before choosing a workspace or adopting Bayes Pharma Clinical.ai.
Start with the immediate clinical job. Use DawaiSafe when diagnosis, triage, labs, or imaging need structure. Use Benefit-Risk Analysis when choosing therapy, DDI Intelligence OS or the Safety Hub when checking medication risk, Bedside Dosing when individualizing a regimen, and TDM Monitor when interpreting follow-up samples.
The Safety Hub contains focused checks such as renal dosing, levels, reconciliation, allergies, and governed alerts with persistent workflow context. Safety Recommendations summarizes patient-level benefit-risk, contraindications, dose analysis, and prioritized recommendations.
No. Bedside Calculator provides quick point-of-care calculations. Bedside Dosing is the broader patient-specific workflow for exposure review, regimen optimization, Bayesian updates, monitoring, risk, and clinical reporting.
No. Bayes Pharma Clinical.ai is intended to support high-risk medication review beside existing EMR, HMS, pharmacy, and lab systems. It helps organize dosing intelligence, monitoring, and documentation; it does not replace the hospital record system.
A DDI checker answers one safety question. Bayes Pharma Clinical.ai connects DDI, renal safety, patient covariates, Bayesian exposure, TDM interpretation, monitoring, and documentation into a fuller dose-review pathway.
No. Bayes Pharma Clinical.ai is clinical decision support. Final prescribing decisions require licensed clinician review, verified patient data, local protocols, and applicable standards of care.
Start with symptoms and available results, then inspect differential workup, exposure, optimized dosing, AKI risk, benefit-risk, monitoring guidance, and the clinical report.
Choose an access level that fits your hospital, clinic, pharmacy team, or network rollout.
For clinicians evaluating diagnostic workup, patient-level dosing, safety, and monitoring workflows.
Start workupFor clinical and pharmacy teams that need regular bedside access across connected diagnostic and medication workflows.
Open Clinical WorkflowFor governed rollout, institutional support, and broader clinical team adoption.
Review governance