Healthcare AI Consulting Services

Many healthcare leaders face pressure to adopt AI but lack a defined approach for connecting use cases to financial, clinical, or operational returns that leadership and stakeholders can support.

Compliance requirements across HIPAA, HITECH, and related frameworks introduce complications that AI tools must address early; overlooking them can lead to setbacks or exposure.

Legacy systems, siloed applications, and disconnected data sources make it difficult to integrate AI effectively, especially without a thoughtful interoperability and infrastructure plan.

Few healthcare organizations have in-house AI teams with the technical and domain-specific knowledge needed to design, validate, and scale responsible solutions independently.

Choosing between vendors, platforms, and third-party tools often creates confusion; organizations struggle to compare offerings or assess long-term sustainability without expert input.

Evaluate organizational preparedness, data maturity, staffing, and risk posture to determine how AI can be pursued responsibly and effectively across departments or service lines.

Map clinical and operational areas where AI could make a measurable impact; prioritize use cases based on feasibility, expected value, and alignment with strategic goals.

Provide leadership teams with targeted updates, emerging trends, and practical next steps so they can make confident, informed decisions about when and how to invest.

Review how AI solutions will interact with clinical, operational, and administrative workflows across departments, aiming to reduce friction, support staff adoption, and maintain regulatory alignment.

Develop oversight structures to monitor AI model performance, versioning, accuracy, and bias, while incorporating accountability standards that align with both internal governance and healthcare regulations.

Design structured evaluation plans to measure AI performance using clinical metrics, staff feedback, and patient outcomes, so that the model contributes meaningfully to decision-making and efficiency.

Advise teams on how to structure, secure, and optimize healthcare data systems to support scalable AI use while meeting integration, audit, and privacy requirements.

Support procurement teams by comparing AI vendors across capability, cost, compliance, and long-term viability, using a standardized method that reduces risk and supports transparent selection.

Help stakeholders assess technical feasibility, total cost of ownership, scalability, and in-house capability to determine whether a custom AI solution or third-party platform offers better long-term value.

Our team blends hands-on healthcare domain experience with deep technical knowledge in AI systems, allowing us to deliver solutions that reflect both operational realities and innovation goals.

We work with cross-functional teams, from clinical operations to compliance and IT, to embed privacy, security, and governance standards into every AI strategy and implementation phase.

Our consulting approach adapts to the needs of large institutions and emerging companies alike, scaling support based on technical maturity, team structure, and innovation goals.

We apply the ASCEND framework to guide organizations from idea to implementation, providing structure for planning, execution, governance, and continuous improvement across the AI lifecycle.

Responsible AI practices are built into our consulting model, combining compliance awareness with measurable outcomes to support safe, effective, and clinically meaningful applications of artificial intelligence.

“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.”

We carefully assess your data, workflows, team structure, and goals to prioritize high-impact use cases aligned with realistic implementation paths.

Absolutely! We work across use case types and help determine which models and approaches best support your clinical, operational, or patient engagement needs.

Yes, we embed compliance, data security, and responsible use policies into every stage of the consulting process.

We can assist with vendor evaluation, integration planning, or governance frameworks to support safe, effective collaboration.

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.