Generative AI Development For Healthcare

Most available models were not built with HIPAA, HITECH, or PHI protections in mind; using them as-is introduces legal, reputational, and data privacy risks for any covered entity.

Models trained on broad public data struggle to produce clinically accurate content and frequently miss medical nuance, terminology, or workflow context that matter in real-world scenarios.

Language models often generate plausible but incorrect content; in healthcare, these hallucinations can lead to misinformation, confusion, or even patient harm if not properly addressed.

Disconnected models that cannot retrieve or write back to clinical systems add work instead of saving time; this reduces adoption and creates additional burden on staff.

When outputs can’t be traced to data sources or clinical reasoning, trust is eroded; healthcare teams need tools that offer clear insight into how each result was generated.

Automatically draft clinical notes during or after patient visits using conversational input or structured fields, helping providers focus more on patient interaction and less on documentation.

Summarize multi-visit histories into concise overviews that highlight relevant findings, previous plans, and current issues so clinicians can make faster, more informed decisions.

Generate clear and structured referral documentation based on visit notes, diagnosis codes, and input fields to streamline communication between providers.

Respond to patient questions in a friendly, accurate tone using AI-generated replies based on clinical guidelines, public health data, and system-specific protocols.

Translate complex medical terminology into plain-language explanations to improve patient understanding, adherence, and comfort with treatment plans.

Create AI-assisted summaries that combine lifestyle data, goals, and clinical factors to provide patients with helpful, targeted wellness guidance.

Match patients with open trials and summarize eligibility based on real-time EHR data, improving recruitment and broadening access to care innovation.

Help compliance teams draft policies, internal memos, and training content based on changing federal or state regulations using controlled language models.

Provide contextual code recommendations based on chart content to assist billing teams and reduce the risk of omissions or claim denials.

Our team adjusts each model based on your organization’s documentation, workflows, and language to improve output relevance and minimize error.

Every system is developed with strict security controls and regulatory alignment to support safe, compliant implementation from the start.

You’ll gain oversight tools to manage output tone, accuracy parameters, and prompt filters, putting your team in control of how content is generated and reviewed.

Functionality is embedded into the platforms your teams already use, avoiding the need for major retraining or disruption during adoption.

Orases brings together healthcare developers, AI engineers, and security professionals to create solutions that are technically sound and operationally aligned.

“Orases successfully built efficiencies into our prototype and delivered a high-quality platform.”

“They’re honorable, reputable, and easy to work with. They genuinely care about the outcome and want to do a good job.”

“Orases built a platform that’s boosted productivity by about 30%…”

“Not only do they want to succeed, they strive to produce functionally and visually unique software.”

Yes, if deployed in a HIPAA-compliant environment with appropriate access and encryption controls in place.

Fine-tuning reshapes how the model thinks; prompt engineering guides how it behaves. Both are typically used in tandem.

We work with both, depending on your compliance requirements, licensing needs, and integration goals.

Most generative AI builds are completed in 10 to 16 weeks, depending on complexity and the depth of data training required.

Custom medical software is going a long way to help with tedious wait times and minimizing paperwork errors.

Help yourself choose the perfect system and ensure a seamless transition to your new medical billing and coding software solution.