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How an Indian Healthcare Group Cut Turnaround Times with Intelligent Automation Solution

With a team of experts consisting of more than 2,300 healthcare professionals, this organization processes large volumes of patient data every day, from recording customer details to processing claims and coordinating data for government healthcare plans.

Heatmap for Healthcare processes

Automation potential

HIGH

Automation potential

MEDIUM

CLINICAL - REFERRALS, BOOKINGS CLINICAL - LAB/PATH/RAD DATA HANDLING CLINICAL - INTELLIGENT, CARE PATH AND OTHER ADMINISTRATIVE - HR, IT ADMINISTRATIVE - FINANCE, LOGISTICS ADMINISTRATIVE - FINANCE, LOGISTICS
Referrals classification, transferring to the right unit Classification of labpratory/pathology/radiology results Intelligent OCR and NLP patient questionnaire handling Substitute employee need estimating and ordering Making service vouchers and commitments for expenditure Data transfer to quality register from EMR
Intelligent referrals classification, transferring to the right doctor Handling the normal results, making the EMR notes, sending the patient an SMS/ e-letterTES Intelligent NLP structurising of prescription data Rota planning automation Social care financial assistance application handling Official reporting e.g. waiting times
Structurised referrals handling - decisions on admission to care and urgency Following the arrival of results, transferring to the doctor in charge Care path - questionnaire, lab request form, visit booking, patient information On/ off-boarding automations Sales and purchase invoice checking Risk-/resource analysis on population level
Making bookings for consultations and operations Creating routine lab/radiology Services management when patient is transferred btw home and hospital Log analysis and reporting, misuse identification Delivery ordre handling Analyzing EMR notes, identifying patients with a specified risk
Checking and handling free consultation times Checking the results handling Transferring patient questionnaire data directly to EMR Data transfer between it-systems Alignment of orders, purchase invoices and deliveries Research data collecting and analysing

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