Healthcare Data

Client Background: A mid-market US health insurance company with 1.2 million covered lives across five states, seeking to optimize its plan designs and provider network structures ahead of Open Enrollment.

Challenge: The client’s strategy team was manually researching competitor plan offerings, premium structures, and in-network provider lists across 12 competing insurers — a process consuming 80+ analyst hours per quarter with data already outdated by publication.

Solution: Hir Infotech deployed a continuous AI scraping pipeline targeting competitor insurance portals, state health exchange listings (Healthcare.gov), and publicly available provider network directories. Data was extracted, deduplicated, and normalized into a unified competitive intelligence dashboard delivered weekly via API feed to the client’s internal BI platform.

Results: The client reduced competitor research time by 87%, identified three underserved provider network gaps in two states, and used the intelligence to redesign two plan tiers that improved enrollment conversion by 22% in the subsequent Open Enrollment period.

Client Testimonial: “Hir Infotech’s team understood our compliance constraints from day one. They built us a healthcare data pipeline that works — clean, fast, and legally defensible. It’s become core infrastructure for our strategy function.” — VP of Product Strategy, US Health Insurance Platform

Client Background: A mid-size European pharmaceutical company with marketed products across Germany, France, Italy, Spain, and the Netherlands, managing pricing under five different national reimbursement regimes.

Challenge: Monitoring reimbursement rates, formulary inclusions, and competitor pricing across five national health systems (GKV in Germany, HAS in France, AIFA in Italy, AEMPS in Spain, and ZIN in the Netherlands) manually was creating a six-week lag in pricing intelligence, costing the client negotiation leverage during tender cycles.

Solution: Hir Infotech built a multi-market pharmaceutical pricing scraping system targeting each country’s national health authority portals, hospital formulary databases, and payer reimbursement schedules. Data was structured into a normalized cross-market pricing matrix updated bi-weekly, with automated alerts for any competitor pricing changes or formulary additions.

Results: The client reduced pricing intelligence lag from six weeks to 48 hours, won two national tender negotiations by responding to competitor undercutting with data-backed counter-proposals, and reported a 31% improvement in pricing team efficiency.

Client Testimonial: “The depth of coverage across five European markets was something we hadn’t been able to achieve internally. Hir Infotech delivered exactly what they promised — clean, structured, timely pricing data that directly impacted our tender outcomes.” — Head of Market Access, European Pharma Company

Client Background: An Australian MedTech company selling diagnostic equipment to hospitals and specialist clinics, with a sales team of 45 reps targeting over 8,000 healthcare facilities nationally.

Challenge: The client’s CRM held outdated facility data — wrong contact names, missing specialist counts, and no information on equipment purchasing cycles. Their sales team was wasting 35% of prospecting time on bad data.

Solution: Hir Infotech extracted and enriched healthcare provider data from AHPRA, Australian Hospital Statistics (AIHW), state health department directories, and Google My Business healthcare listings. The enriched dataset — covering facility type, bed count, specialist count by specialty, key decision-maker names, and contact details — was delivered as a direct CRM integration into the client’s Salesforce instance.

Results: CRM data accuracy improved from 61% to 97%. Sales team prospecting efficiency increased by 44%. The client attributed $2.3M AUD in new pipeline directly to the enriched territory data in the first two quarters post-delivery.

Client Testimonial: “Our sales reps stopped wasting time on bad leads and started having better conversations with the right people. The data quality from Hir Infotech was unlike anything we’d seen from other providers.” — National Sales Director, Australian MedTech Company

Client Background: A UK-based healthcare procurement consultancy advising NHS Trusts on supplier selection and spend optimization across medical supplies, equipment, and services.

Challenge: NHS spending data is publicly available but fragmented across dozens of Trust-level procurement portals, the NHS Supply Chain portal, and Contracts Finder — making benchmarking analysis across Trusts manually impossible at scale.

Solution: Hir Infotech deployed a scraping and aggregation pipeline covering NHS Trusts’ published spend data, NHS Supply Chain product listings, Contracts Finder tenders, and supplier performance data. The resulting dataset was structured into a benchmarking intelligence tool for the consultancy’s advisory team.

Results: The consultancy reduced data preparation time for procurement benchmarking reports by 78%, expanded its active NHS client engagements by 40% within 12 months, and delivered three reports cited by NHS England’s procurement efficiency review in 2025.

Client Testimonial: “Working with Hir Infotech gave us a data capability that competitors simply don’t have. Their understanding of UK public sector data and compliance requirements was immediately apparent.” — Director of Advisory Services, UK NHS Procurement Consultancy

Client Background: A rapidly scaling US telehealth platform onboarding licensed physicians across 50 states, requiring verified, up-to-date credentialing and state medical board data for compliance.

Challenge: Verifying physician licenses, board certifications, malpractice histories, and DEA registrations manually across 50 state medical boards was creating a 3-week credentialing backlog — slowing provider onboarding and impacting platform growth.

Solution: Hir Infotech built automated scraping pipelines targeting all 50 US state medical board licensing portals, the National Practitioner Data Bank (NPDB) public use file, DEA practitioner lookup, and ABMS board certification verification. Structured physician verification data was delivered daily via API with automated re-verification triggers on license expiry dates.

Results: Credentialing cycle time reduced from 21 days to 4 days. The platform onboarded 340% more physicians in Q3 2025 versus Q3 2024. Compliance audit pass rate on physician credentialing reached 100% — a first for the platform.

Client Testimonial: “Hir Infotech solved a problem that was genuinely holding back our growth. The data quality and API reliability were exactly what we needed to scale physician onboarding without scaling headcount.” — Chief Product Officer, US Telehealth Platform

Client Background: One of Germany’s largest private hospital groups operating 34 facilities, seeking to benchmark clinical quality indicators and patient satisfaction scores against competitors and regional market standards.

Challenge: Germany’s hospital quality reports (Qualitätsberichte) are publicly available but published in inconsistent XML formats across thousands of facilities — making cross-hospital and cross-indicator comparison prohibitively time-intensive for the internal analytics team.

Solution: Hir Infotech built a specialized parsing and normalization pipeline for Germany’s G-BA hospital quality report system — extracting, structuring, and benchmarking over 200 quality indicators across 1,400+ German hospitals. Data was updated annually upon new report publication and delivered into the client’s existing analytics platform.

Results: The analytics team reduced report processing time by 91%. The client identified two clinical quality metrics where it outperformed the market average and used the benchmarked data in competitive marketing materials and insurance tender submissions — contributing to a 15% increase in insurer-contracted admissions.

Client Testimonial: “The technical challenge of parsing Germany’s quality report XML system at scale was something we couldn’t solve internally. Hir Infotech delivered a clean, structured dataset that became the foundation of our quality strategy.” — Chief Data Officer, German Private Hospital Group

Client Background: A US-based healthcare-focused private equity firm evaluating 200+ acquisition targets annually across physician practice management, behavioral health, and post-acute care sectors.

Challenge: Initial screening of acquisition targets required pulling CMS data, state licensing records, Google reviews, Medicare claims data, and financial disclosures — a process consuming 60+ analyst hours per target with inconsistent data quality.

Solution: Hir Infotech built a multi-source acquisition intelligence pipeline aggregating CMS Provider of Services data, state facility licensure databases, Medicare cost reports (CMS-2552), patient review sentiment from Google, Healthgrades, and Yelp, and OIG exclusion screening — delivering a structured due diligence pre-screen pack per target within 48 hours of request.

Results: Analyst screening time per target reduced from 60 hours to 8 hours. The firm increased its deal screening volume by 4x without adding headcount, and two acquisitions completed in 2025 were sourced from targets identified through Hir Infotech’s ongoing market monitoring pipeline.

Client Testimonial: “Speed and consistency of data quality across every target we screen is non-negotiable in our business. Hir Infotech delivers both — and their understanding of healthcare-specific data sources is genuinely differentiated.” — Managing Director, US Healthcare Private Equity Firm