# Hidalga Technologies > Hidalga Technologies builds HaloPA, autonomous prior authorization software for specialty and oncology clinics. It takes a case from EHR order to payer decision without manual portal work. ## What HaloPA does Prior authorization in specialty oncology is slow because assembling a request requires clinical documentation, coding specificity, payer policy and medical necessity to line up before submission. HaloPA automates that pipeline: 1. Intake: Epic and Cerner FHIR R4 sync detects PA-required orders. 2. Extraction: clinical data is pulled from notes, labs and imaging, each field cited to its source. 3. Submission: filed via native payer portals and X12 278 EDI, without fax or rekeying. 4. Tracking: automated polling and escalation until a decision lands. 5. Appeals: AI-drafted medical necessity letters with peer-reviewed citations. ## Who it is for Specialty oncology clinics, infusion centers and academic cancer programs. Roles served: clinical staff, revenue cycle and finance, operations, and technical or security reviewers. ## Company - Legal name: Hidalga Technologies, Inc. - Founded: 2024 - Location: Springdale, AR, US - Contact: contact@hidalgatech.com - NSF SBIR Phase I funded - Compliance: HIPAA, FHIR R4, SMART-on-FHIR, X12 278 EDI. SOC 2 Type II in progress. ## Pages - [Home](https://hidalgatech.com) - [How it works](https://hidalgatech.com/how-it-works) - [Benefits](https://hidalgatech.com/benefits) - [Compare](https://hidalgatech.com/compare) - [Use cases](https://hidalgatech.com/use-cases) - [Clinical](https://hidalgatech.com/use-cases-clinical) - [Financial](https://hidalgatech.com/use-cases-financial) - [Operations](https://hidalgatech.com/use-cases-operational) - [Technical](https://hidalgatech.com/use-cases-technical) - [About](https://hidalgatech.com/about) - [Contact](https://hidalgatech.com/contact) - [Resources](https://hidalgatech.com/resources) - [PA Calculator](https://hidalgatech.com/resources-pa-calculator) - [Blog](https://hidalgatech.com/blog) - [Insights](https://hidalgatech.com/insights) - [Glossary](https://hidalgatech.com/glossary) - [FAQ](https://hidalgatech.com/faq) ## Blog - [Coding and Documentation Gaps Behind Prior Auth Delays](https://hidalgatech.com/blog/coding-and-documentation-gaps-behind-prior-auth-delays): Most conversations about prior authorization focus on waiting. But many delays begin earlier, before the request ever reaches a payer, when diagnosis codes, clinical documentation, and payer-specific requirements have to line up in a single submission. In oncology, when they don't, the consequences reach further than a denied claim. - [AI Governance in Community Oncology](https://hidalgatech.com/blog/ai-governance-in-community-oncology): Prior authorization is already a fight. Federal AI governance just made the rules more complicated. - [How NSF I-Corps Changed our Go-to-Market Strategy](https://hidalgatech.com/blog/how-nsf-i-corps-changed-our-go-to-market-strategy): Building a healthcare company is one thing. Building one that solves a problem people actually need to fix is something else entirely. That is what NSF SBIR I-Corps helped us do. - [The Support Systems Behind Cancer Care in Northwest Arkansas](https://hidalgatech.com/blog/nwa-cancer-support-systems): Behind every treatment plan is a network of support services that helps patients and families manage the emotional, logistical, and financial challenges of cancer. - [Q4 2025 ROCKs: How Data, Strategy, and Insight Are Powering Hidalga’s Next Chapter](https://hidalgatech.com/blog/q4-2025-rocks-data-strategy-insight): Q4 2025 ROCKs are shaping our next steps across operations, marketing, and modeling. Organized payer policy chaos, a scalable analytics system, and payer approval and denial patterns inform predictive models training. - [Reducing Oncology Administrative Burden with AI](https://hidalgatech.com/blog/reducing-oncology-administrative-burden-ai): A routine authorization took ten days. The disease advanced. How AI, NLP and workflow intelligence help clinics shorten approval cycles and safeguard time. - [Burnout by the Numbers: Community Oncology Under Pressure](https://hidalgatech.com/blog/burnout-by-the-numbers-community-rural-oncology-under-pressure): Insights from a variety of healthcare professionals reveal how administrative delays, combined with staffing and transportation challenges, exacerbate healthcare access issues in rural areas. - [How Oncology Clinics Can Save 16+ Hours Weekly with Prior Authorization Automation](https://hidalgatech.com/blog/16-hours-a-week-giving-billing-specialists-time-back): The average US oncology practice devotes 16.4 staff-hours each week solely to wrangling prior authorizations, or PAs (AMA, 2024). That is nearly a full-time employee lost to copy-paste, portal logins, and status calls. Our upcoming Arkansas pilot aims to collapse those multitude of hours to just two—while also reducing denials. ## Frequently asked questions ### What is HaloPA exactly? An autonomous prior-authorization platform built specifically for specialty oncology. A team of specialized AI agents handles the full lifecycle — from EHR detection through payer decision — with human-in-loop checkpoints. ### What's the difference between Hidalga and Halo? Hidalga Technologies is the company. Halo Apps is the umbrella product. HaloPA is the prior-auth product, the first in the Halo family. ### Who is HaloPA for? Specialty oncology clinics, infusion centers, and academic cancer programs running 50+ specialty PAs / month. ### What EHRs do you support? Epic, Cerner, MEDITECH, Athena, eClinicalWorks via FHIR R4 / SMART-on-FHIR. Custom integrations on a one-off basis. ### Are you HIPAA compliant? Yes — HIPAA-compliant from day one. BAA signed at deal close. Full PHI flow diagram in the onboarding packet. ### What about SOC 2 and HITRUST? SOC 2 Type II audit in flight, expected Q3 2026. HITRUST CSF on the roadmap for early 2027. ### Where does PHI live? In a customer-tenant VNet on Azure. AES-256 at rest, TLS 1.3 in transit. We never co-mingle PHI between customers. ### Do you train models on our data? No. Customer PHI is never used for cross-tenant model training. All learning is in-tenant or fully de-identified. ### How long is implementation? Typical onboarding: 4-6 weeks from kick-off to first live PA. Includes FHIR integration, payer credentialing, staff training. ### What does it cost? Per-auth pricing tied to value delivered. CFO-friendly model — we win when you win. ### What's the contract length? 12-month default, with 30-day exit if SLAs aren't met. ### What ROI should we expect? Cohort average: 9.2× ROI in year one, driven by ~$4.8M / clinic / month in unlocked revenue + ~2-4 FTEs redeployed. ## Notes on figures Performance figures published on this site are modeled or derived from Phase I pilot data and are labeled as such. They are not audited cohort results. Canonical site: https://hidalgatech.com