Empowering Faster Decisions. Enhancing Patient Care. Ensuring Data Privacy.
Table of Contents
The Challenge: Abundant Data, Scarce Insights
Modern healthcare systems, especially those integrated with ABDM, ABHA, and FHIR protocols, are generating unprecedented volumes of data — from teleconsultations and digital prescriptions to real-time patient records and diagnostic workflows.
Yet despite this data abundance, operational and clinical decisions still lag behind.
Imagine a National Health Mission (NHM) official asking:
“Which districts reported the most missed follow-up teleconsultations for chronic diabetic patients in the last 30 days?”
Answering this isn’t as easy as it sounds.
- Data is scattered across EMRs, Telehealth platform platforms, ABDM logs, and patient health record (PHR) systems.
- Insights often require analysts to cross-reference databases, apply filters manually, and generate a report.
- This delay in access can lead to missed interventions, poor compliance tracking, and reduced public health outcomes.
The Solution: Conversational AI + BI = Smarter Health Systems
At HashStudioz Technologies, we combine Business Intelligence (BI), Data Analytics, and Conversational AI into a single, secure, interoperable layer—helping healthcare stakeholders make faster, data-driven decisions.
Business Intelligence Layer
- Integrates with open-source or enterprise BI tools: Superset, Metabase, Power BI.
- Generates actionable dashboards on:
- Teleconsultation completion rates
- Disease-wise consultation volume
- Patient ABHA registration compliance
- Claim processing TAT
- Teleconsultation completion rates
Data Analytics Engine
- Unifies data from OPD/IPD visits, telehealth platform , lab diagnostics, and PHR access logs.
- Enables insights such as:
- Doctor availability vs patient wait times
- High no-show zones for chronic patients
- ePrescription error patterns by facility
- Doctor availability vs patient wait times
Conversational AI Layer
- Based on open-source LLMs (e.g., Mistral, LLaMA2), deployed on-prem or private cloud.
- Enables non-technical users to query in plain English:
“Show top 10 facilities with the highest ePrescription rejection rate last quarter.” - Returns live insights — with visualizations — in under 5 seconds.
Use Case: Reducing Missed Chronic Care Follow-Ups
A southern Indian state integrated our platform with their telemedicine and ABHA systems to improve chronic care management.
The Problem
Patients with hypertension and diabetes were missing follow-up consultations, leading to higher OPD loads and lower health outcomes.
The Action
The district medical officer asked:
“Which PHCs had more than 50% missed follow-ups for diabetes patients in the last 2 weeks?”
Our platform responded instantly by:
- Pulling records from Telehealth Platform, ABHA-PHR consent logs, and patient call logs
- Filtering by ICD-10 codes (diabetes) and patient visit history
- Identifying 4 rural PHCs with low patient adherence due to SMS delivery issues
The Outcome
- SMS content and language were updated
- Reminder workflows were integrated with WhatsApp
- Resulted in a 22% improvement in follow-up completion within 3 weeks
Why Security is Non-Negotiable in Healthcare Analytics
With sensitive health data, trust and privacy are paramount.
Our solution ensures:
- No cloud-based LLM usage — only on-prem or private deployments
- Role-based access control (RBAC) integrated with hospital login systems
- Compliance with ABDM and HIPAA-equivalent data handling policies
- Open-source, explainable models tuned for FHIR, SNOMED, ABHA-ID, and diagnostic code structures
Key Benefits for Healthcare Systems
- Real-time decision support for NHM, private telehealth chains, and government schemes
- Improved patient outcomes via smarter outreach and follow-up interventions
- No dependency on IT teams for day-to-day reporting
- Full data sovereignty — no external AI vendors or cloud risk
- Faster campaign feedback loops for disease surveillance and health awareness
Final Thought: Let Your Health Data Speak Fluently
Healthcare is data-rich but insight-poor. With Conversational BI, even non-technical teams can talk to complex healthcare systems in plain language — and get answers instantly.
Whether you’re building a next-gen PHC, running a telemedicine platform, or integrating with ABDM, it’s time to make your health system intelligent, secure, and responsive.
Because every delayed insight can cost a life.
Rohit Mishra 
Lakshay Goel 
Prithvi Singh