XPndAI builds AI systems for Indian private hospitals, multi-specialty chains, diagnostic centres, and healthcare companies — AI patient appointment booking and OPD management, AI patient engagement and follow-up (WhatsApp-first), AI IPD discharge and revenue cycle automation, AI diagnostic report delivery and interpretation support, AI healthcare CRM for patient retention, and AI HR and operations automation. For hospitals from 50-bed single-specialty to 500+ bed multi-specialty chains across India.
AI WhatsApp booking agent: patients book appointments via WhatsApp (no app download), select doctor, department, and time slot. AI confirmation with address and preparation instructions. Automated reminder 24 hours and 2 hours before appointment. Reschedule and cancellation via WhatsApp. OPD queue management — AI updates patient on estimated wait time. Reduces no-shows by 25–35%. Integrates with HMIS (HIS/Practo/Meddco/custom). Handles Hindi and regional language queries.
AI patient lifecycle automation: post-OPD follow-up (medication reminder, prescription query handling), lab report delivery via WhatsApp (diagnostic result with doctor's note — AI answers basic interpretation questions within approved scope), chronic disease management follow-up (diabetes HbA1c tracking, hypertension BP check-in, post-cardiac discharge monitoring), preventive care reminders (annual health check-up, vaccination, women's health screening). Increases patient retention and repeat consultation rate by 15–25%.
AI IPD revenue cycle: pre-admission cost estimate (AI generates package estimate from clinical notes and approved package rates), insurance pre-authorisation request preparation (claim form AI fill from medical records), discharge summary extraction for billing, TPA claim support (AI builds claim file from IPD records and approved format), and post-discharge payment follow-up. Reduces claim rejection rate and improves collections from insurance payers. Integrates with TPA portal formats (Medi Assist, MD India, Star Health, CGHS).
AI CRM for hospital patient acquisition and retention: patient segmentation (chronic disease patients, lapsed patients, high-value specialty patients), automated re-engagement campaigns (WhatsApp health tips by segment, annual check-up reminders, specialty programme offers), doctor-patient relationship management (patient follows up with their regular doctor — AI routes to the right doctor's queue), and Google Reviews management (post-discharge satisfaction survey → positive experience patients prompted to leave Google review). Builds sustainable OPD volume from returning patient base.
For standalone diagnostic centres: AI report delivery via WhatsApp (PDF report + AI-generated plain-language summary for patients — with medical disclaimer), critical value alert (AI identifies critical lab values and immediately alerts the referring doctor via WhatsApp/SMS), sample tracking (AI updates patient on sample collection and expected report time), and home collection scheduling automation. Integrates with LIS systems (Cerner, Apex LIS, custom). Reduces patient support calls by 50–60%.
Hospital HR AI: nursing roster optimisation (AI scheduling based on patient census, skill requirements, shift preferences — minimises overtime cost), staff attendance tracking (WhatsApp daily check-in for housekeeping and support staff), leave management automation (WhatsApp leave application and approval workflow), onboarding checklist automation (new hire document collection, training schedule coordination), and biomedical equipment maintenance scheduling (AI tracks preventive maintenance calendar, service call logging). Reduces HR admin burden by 40–50%.
Yes — XPndAI integrates with the HIS/HMIS your hospital already uses. Common integrations: Practo (API for appointments and patient records), Meddco, HIS platforms from Siemens/Allscripts/local vendors, and fully custom-built HMIS. Integration approach depends on what API access the HMIS provides. For systems without a formal API, XPndAI builds an integration layer via database connection (read-access for patient records, appointment slots) and webhook for real-time updates. The goal is that hospital staff continue working in their existing HMIS — the AI layer handles patient-facing communication and automates the routine workflows without requiring staff to learn a new system. Implementation discovery includes an HMIS API audit in the first two weeks.
Patient data privacy in India is governed by the DPDP Act 2023 (which classifies health data as sensitive personal data) and NMC/MCI ethical guidelines. For WhatsApp-based patient communication: (1) Patient consent must be obtained for WhatsApp communication at registration — explicit consent for appointment reminders, health tips, and report delivery; (2) The WhatsApp Business API (used by XPndAI, not the regular WhatsApp) is end-to-end encrypted and data processing is governed by Meta's Business Data Processing terms; (3) Sensitive medical information (detailed diagnosis, prescription) should be shared as encrypted PDF rather than in plain WhatsApp message text; (4) Patient data used to personalise messages must be stored in your hospital's own server infrastructure, not in Meta's servers — the AI sends messages using WhatsApp as a communication channel, not as a data store. XPndAI designs the architecture to keep patient data under the hospital's control, with Meta receiving only the message content and recipient phone number.
Share your hospital type, size, current HIS/HMIS, and the department where you most need AI improvement. We'll scope and demo the right solution.
XPndAI · Healthcare AI Specialists India · WhatsApp-first · DPDP compliant design · Fixed price from ₹4L · Source code ownership · +91-9625368140