As a healthcare provider, you have a lot of choices in the technology you employ in your practice. Factors include interoperability, security, total cost of ownership and compliance.
Adding artificial intelligence (AI) to the mix adds more complexity to these decisions. Why? Because many medical practices lack full knowledge of what components of this newest healthcare technology are most important for reducing administrative burden and benefiting patients.
Approximately 78% of health systems are working on AI projects, and 75% of health plans expect to spend more than $10 million on artificial intelligence over the next three to five years. Following are eight specific questions to ask any healthcare AI vendor before you sign on the dotted line:
Question #1: How Do You Protect PHI and Ensure Security and Compliance?
Key factors in healthcare AI vendor selection include data security and regulatory compliance. Healthcare AI tools must adhere to various federal and state regulations, such as HIPAA, General Data Protection Regulation (GDPR), and the California Consumer Privacy Act (CCPA).
Ask about:
- Encryption in transit and at rest
- Role-based access control and least-privilege principles
- Logging and audit trails for all data access
- Data residency (i.e., U.S.-only storage)
- Incident response timelines
Every medical practice should require a signed Business Associate Agreement (BAA) and demand third-party certifications, including SOC 2 Type II and formal risk assessments. You should also define and document clear policies for what happens to patient data at contract termination.
At Providertech, our standards include robust security controls, HIPAA-aligned processes and clear BAAs designed for covered entities and business associates. We provide clear audit trails and data residency information as a baseline.
Question #2: What Data Do You Use to Train and Run Your Models, and How Do You Prevent Bias?
AI algorithms trained on biased datasets can further worsen healthcare disparities. Algorithm bias is a problem affecting a healthcare system that already displays barriers to healthcare equity, including unequal testing and treatment, bias in medical research and data and institutional racism.
Mitigating AI bias can be achieved by the implementation and maintenance of strict data standards that promote accuracy and fairness. Understanding AI data origins mitigates biases and ensures equitable outcomes.
Ask vendors:
- What are the training data sources (EHR data, claims, public datasets, synthetic data)?
- Does the vendor use customer protected health information (PHI) to train general models or only private models?
- How is demographic representation checked across race, ethnicity, language, age, gender and payer type?
- How often are bias audits conducted, and how are findings reported?
Transparency in data sources and methodologies is crucial in evaluating AI vendors. Evaluations should include checks for model bias and how vendors manage performance drift over time.
Providertech.ai curtails algorithm bias by incorporating task-specific models to manage appointments and health data. This markedly mitigates biases more effectively than open-ended Large Language Models (LLMs), making sure decisions are based on objective criteria. Our approach not only enhances service equity and reliability but also strictly adheres to HIPAA compliance to safeguard patient data privacy and security.
Question #3: How Will Your AI Solution Integrate With Our Existing Healthcare Systems and Workflows?
Even the best healthcare technology tools fail if they don’t align with existing clinical workflows. AI tools should integrate seamlessly with existing electronic health records (EHRs).
Ask potential healthcare AI vendors about:
- FHIR-based APIs, HL7 interfaces and compatibility with common EHRs (i.e., Epic, Cerner, MEDITECH)
- Support for secure messaging channels (SMS, email, patient portals)
- How AI suggestions appear in daily healthcare workflows-within the EHR, a separate dashboard or embedded in an outreach platform
- Project timelines, required IT resources, and user training plans
Healthcare AI vendors should offer comprehensive training programs for users and clinical staff. Providertech focuses on low-friction integration with existing scheduling, care management and population health systems to minimize disruption for clinical teams and physicians.
Question #4: Does Your Healthcare AI Solution Provide Multilingual Support?
The United States is now one of the world’s most linguistically diverse nations, with more than 350 different languages spoken across its communities. A KFF survey found that about one-third of adults with limited English proficiency (LEP) report having faced language barriers when seeking healthcare, and about half experienced at least one language barrier in a healthcare setting in the past three years.
Ask potential healthcare AI vendors if they support multilingual messaging and common languages in your region without decreasing accuracy or safety. True multilingual support requires culturally adapted content, accurate medical terminology in each language and quality assurance by native speakers.
Providertech’s multilingual capabilities are built for secure, compliant communication at scale across diverse patient populations. In addition to promoting scalable multilingual support that reduces operational costs while improving workflow efficiency and regulatory compliance, our healthcare-specific platform continuously updates to reflect medical terminology and community needs. This ensures culturally sensitive interactions that help patients feel respected and understood.
Question #5: How Do You Support Human Oversight, Governance, and Auditability?
A comprehensive governance system has multiple advantages, such as ensuring patient safety, maintaining ethical standards and regulatory compliance, fostering trust through transparency and accountability and managing privacy concerns. According to the Joint Commission and Coalition for Health AI (CHAI) guidance on the responsible use of AI in healthcare, an AI governance structure and policies provide a systematic approach to implementation, evaluation and use of AI tools, and governance creates accountability which will help to drive the safe use of AI tools.
Ask:
- How can clinicians, coders or staff accept, modify or reject AI suggestions?
- Are all actions logged with timestamps, user IDs and the specific AI recommendation?
- Does the vendor help set up steering committees, risk registers and ongoing governance processes?
At Providertech, we build governance capabilities directly into our platform architecture. We support HIPAA-compliant AI through encryption of PHI in transit and at rest, strict role-based access controls limiting data access to authorized personnel and secure integration with existing EHR systems. We also provide detailed audit logging for every AI-driven interaction, including patient outreach, care coordination and conversational AI exchanges.
Question #6: What Is Your Track Record and Expertise in the Healthcare Industry?
Vendors should have specialized healthcare experience and a proven track record. Healthcare AI is different from generic enterprise AI because of clinical risk, regulatory requirements and payer complexity.
Ask potential healthcare AI vendors for:
- Concrete references and case studies in similar settings (i.e., FQHCs, health systems, payers)
- Familiarity with HIPAA, CMS rules, value-based care and state programs like Medicaid managed care
- Team composition, such as clinicians, coding experts, health information professionals and security specialists
At Providertech, our extensive healthcare background and partnership with Revmo illustrate vendor experience spanning clinical operations, patient engagement and regulated AI. The biggest difference with partnering with Providertech is that our team is comprised of people with healthcare experience, from clinical, operations and healthcare technology, who have been building out our solutions from the beginning to make sure they’re meeting (and exceeding) the needs of our clients in the healthcare industry.
Our team has experience all across the healthcare field from clinical settings ranging from acute to ambulatory care to FQHCs and extending into payers. We utilize that experience to envision what our products should look like and which features they should have.
Question #7: How Will Your Solution Scale With Our Growth and Evolving AI Strategy?
Conversational AI is increasingly being adopted by healthcare providers to offer guidance on preventive care and appointment or procedure preparation. It is a scalable and cost-efficient method for increasing understanding and combating misinformation through timely, relevant and accurate patient education.
Agentic AI enables healthcare providers to provide current, contextual and reliable educational communication at scale, delivering customized messages to patients based on their unique conditions and health literacy level. Healthcare AI vendors must support evolving global artificial intelligence standards.
Ask any healthcare AI vendors you’re considering:
- What are maximum supported volumes (daily messages, concurrent users, locations)?
- What are performance service language agreements (SLAs) and uptime commitments?
- How do you handle scaling across multiple facilities, states and payer contracts?
- How often do you update models, add new languages and respond to regulatory changes?
Healthcare organizations must prioritize AI systems to avoid overwhelming implementations. Providertech’s cloud-based architecture is proven in large-scale outreach and AI-driven patient engagement for complex healthcare organizations.
Why Healthcare Organizations Choose Providertech for Healthcare AI
Providertech is a leading healthcare AI partner focused on safe, scalable and compliant patient engagement and workflow optimization. With years of experience serving health systems, FQHCs, and ambulatory practices, we understand the demands of the healthcare industry from the inside.
Choosing the right healthcare AI vendor is a patient safety and compliance decision. With Providertech.ai, you’ll get happy patients every single call, every single time. Listen to a sample recording. If you’re ready to advance your medical group’s AI initiatives without compromising safety or compliance, schedule a demo today!
