Abto Software Publishes Expert Guide on Hyperautomation in Epic and Cerner EHR Systems, Targeting Healthcare's Costliest Inefficiencies

The software engineering company outlines how combining RPA, AI, and intelligent process orchestration can eliminate manual burden from the two EHR platforms that manage over 50% of global patient records.

Abto Software, a software engineering company with deep expertise in healthcare automation and intelligent process design, has released a comprehensive guide on deploying hyperautomation within Epic and Cerner electronic health record (EHR) environments. The resource is aimed at healthcare IT leaders, CIOs, and clinical operations teams seeking to reduce administrative burden, improve data accuracy, and free clinical staff to focus on patient care.

Epic and Cerner collectively manage more than 50% of the EHR market by hospital beds in the United States and are deployed across tens of thousands of facilities worldwide. Despite their reach and functionality — covering clinical documentation, decision support, revenue cycle management, and patient data exchange — both platforms are widely associated with workflow complexity, difficult customisation, and labour-intensive data management. These shortcomings have intensified demand for smarter automation strategies that go beyond conventional robotic process automation (RPA).

Beyond RPA: What Hyperautomation Means in Practice

The guide draws a clear distinction between standard RPA — which automates discrete, rule-based tasks such as data entry, field population, and system navigation — and hyperautomation, which orchestrates entire end-to-end workflows by combining RPA with artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and low-code or no-code tools. Hyperautomation does not simply speed up individual steps; it enables workflows to adapt, learn from prior outcomes, and make context-aware decisions with minimal human oversight.

A practical example highlighted in the guide is the patient intake process: an automated system analyses incoming forms for insurance coverage and clinical urgency, an RPA bot retrieves the patient's history and lab results, an AI model evaluates health indicators and flags conditions for clinician review, and a subsequent bot completes appointment scheduling and database updates — all without a single manual step.

Addressing Epic and Cerner's Known Pain Points

Abto Software's guide maps hyperautomation capabilities directly to the operational challenges most commonly cited by healthcare professionals using these two platforms. Epic, which serves predominantly large hospital systems and manages over 60% of electronic health records in the US, is praised for its breadth but criticised for documentation complexity, implementation difficulty, and limited flexibility for custom integrations. Cerner (now Oracle Health), deployed in approximately 35 countries and used by more than 27,000 facilities, offers greater openness to third-party systems but has its own steep learning curve.

Across both platforms, recurring problems include inefficient and error-prone manual data entry, cumbersome clinical documentation workflows that divert clinician time away from patients, system update cycles that cause downtime and threaten data integrity, and compliance documentation that is resource-intensive to generate and maintain. Hyperautomation addresses each of these through a combination of ML-optimised bot management, AI-assisted document processing, predictive maintenance, and full workflow visualisation.

Abto Software's End-to-End Automation Approach

Abto Software positions itself as a full-service hyperautomation partner for healthcare organisations, covering the complete lifecycle from process discovery and proof-of-concept through to deployment, integration with live systems, and ongoing monitoring. The company's engineers apply ML to detect degrading automation scripts and redistribute bot workloads proactively, while AI capabilities extend data extraction beyond simple field capture to include context understanding, anomaly detection, and pattern recognition across structured and unstructured clinical data.

The company's approach emphasises minimal disruption during integration — embedding automation into existing Epic and Cerner environments without requiring replacement of core infrastructure — and provides health checks and incident management as part of sustained post-launch support. Abto Software's team of over 20 dedicated RPA engineers has implemented automation solutions across healthcare, fintech, and enterprise clients spanning multiple continents.

"Healthcare organisations are not struggling with a lack of technology — they are struggling with technology that was never designed to eliminate the manual burden it creates. Hyperautomation closes that gap by making Epic and Cerner environments adaptive, not just functional." — Abto Software Automation Team

Why This Matters for Healthcare Leaders in 2026

The global EHR market continues to expand, with Epic and Cerner maintaining dominant positions even as administrative pressures on healthcare systems intensify. Staffing shortages, regulatory complexity, and rising patient volumes are placing unprecedented strain on clinical and administrative teams. Hyperautomation offers a measurable path to relief — reducing headcount requirements for repetitive processes, lowering the cost of compliance, and enabling existing staff to redirect effort toward higher-value activities.

The full guide is available on the Abto Software blog at cerner automation and covers hyperautomation use cases specific to Epic and Cerner workflows, a side-by-side comparison of the two platforms' automation compatibility, and a framework for evaluating readiness and selecting the right technology stack.