India's multi-centre decision-science network. PRN™ converts routine treatment patterns into statistically governed, publication-grade evidence — at national scale. Mobile-first capture, unified specialty registries, deterministic analysis, and audit-ready governance built for multi-centre reinforcement.
Clinical practice generates enormous signal — yet most of it never becomes harmonised evidence. PRN structures routine into research with a governance layer built for reproducibility.
Protocols vary across centres, outcomes are recorded inconsistently, and research stays siloed — reducing statistical power and slowing publication cycles. The same clinical decisions are made repeatedly without a systematic feedback loop.
Mobile-first structured capture (45s target), unified specialty registries, deterministic analysis, and audit-ready governance — designed for multi-centre reinforcement at the point where routine practice becomes durable evidence.
Registry assets and comparative pathway studies that produce publication-grade outputs, decision thresholds, and institutional learning loops — without black-box methods or opaque interpretation.
Fast contribution → harmonised registries → governed analysis → publications and decision refinement. Every step is governed, documented, and audit-ready.
We define the clinical decision, the threshold, and the intended action before modelling — so outputs are operational, not academic artifacts. Every study has a decision output pre-specified.
Transparent assumptions, explicit diagnostics, and audit-ready logs — no black-box inference. The same inputs always produce the same outputs. Reviewers can interrogate every step.
Tap-based, specialty-aware fields designed for real OPD workflows — high compliance without research fatigue. If it takes more than 45 seconds, the form is wrong.
IMRAD-ready templates, effect size emphasis, reviewer-facing appendices, and structured interpretation geared for clinical decisions. Every registry is designed with its publication in mind.
Each specialty launches with one national registry plus one comparative pathway study — designed for output velocity and durable decision assets. All studies follow PRN governance: definition registry, pre-specified endpoints, audit-ready logs, deterministic analysis.
Quantify real-world effectiveness of treat-to-target (T2T) implementation and identify the decision thresholds — activity score bands and escalation triggers — associated with remission and steroid reduction in Indian practice.
Compare two real-world escalation pathways — early biologic escalation vs step-up conventional DMARD strategy — on disease control and steroid dependence.
Map real-world glycaemic control trajectories and determine which treatment sequencing patterns are associated with durable HbA1c improvement in Indian routine care.
Compare early introduction of modern agents (SGLT2/GLP-1 class) vs conventional step-up approaches on glycaemic band shift and hypoglycaemia risk.
Establish a multi-centre outcomes registry for DR/DME and quantify real-world vision and OCT-response patterns under routine anti-VEGF/care pathways.
Compare fixed injection schedules vs PRN protocols on visual outcome bands and recurrence under real-world adherence constraints.
Quantify real-world control and exacerbation patterns and build a practical decision layer for follow-up cadence and escalation triggers.
Compare dual therapy vs triple therapy pathways in moderate COPD on hospitalisation rates, exacerbation frequency, and therapy burden.
Establish a multi-centre high-volume gynaecology registry capturing routine OPD patterns to support pathway effectiveness studies and subgroup stratification.
Compare two common management pathways in a high-volume gynaecology condition on outcome bands, follow-up adherence, and adverse event rates across stratified subgroups.
Every member receives a specialty-specific monthly brief curated by Ayati's decision-science team — short, practical, and decision-oriented. Designed for busy clinicians. Read in minutes. Apply in practice.
Key trials and practice signals summarised as "what changed" and "how big the change is" — not just p-values. Effect sizes and confidence intervals always reported.
What decision thresholds may shift — initiation, escalation, follow-up cadence — and what cautions apply before changing practice based on the month's signals.
Why results may differ in Indian practice contexts — adherence patterns, follow-up realities, comorbidity profiles, and real-world constraints not captured in trial settings.
One actionable PRN-ready study idea derived from the month's global signals and local practice variability. The engine that keeps the research pipeline continuously generative.
Hybrid rollout — establishing credibility and early publications first, then paid structured expansion. Three tiers for different contributor profiles.
All metrics, endpoints, and thresholds are codified before any data analysis begins
Assumptions and diagnostics are recorded explicitly before drawing any conclusions
Audit-ready logs are created and retained for every study at every stage
Every registry and study is structured so a reviewer can independently validate the evidence
Outputs target actionable thresholds, not academic artifacts. Interpretation is clinical
Participate in multi-centre studies and receive specialty-specific decision briefs. Powered by Ayati Analytics. Decision-first, not tool-first.