AI-Generated Pharmacy Website Code: 7 Critical Risks to Know Before Publishing

Quick Summary

AI-generated pharmacy website code can help pharmacy owners and developers quickly explore new webpages, forms, calculators, plugins, and other website functionality. But code that works is not automatically secure, accessible, maintainable, accurate, or appropriate for a healthcare website. For independent and compounding pharmacies, the stakes can be particularly high when a website handles patient information, connects with third-party services, or provides health-related information or functionality.

At Storey Marketing, we recommend treating AI-generated code as a prototype or development starting point, not production-ready code. Before AI-generated pharmacy website code is added to a live website, it should be reviewed by qualified software engineers, tested within the complete website environment, and evaluated for security, privacy, HIPAA implications, accessibility, performance, and long-term maintenance.

Artificial intelligence has made it easier than ever to create something online.

A pharmacy owner or staff member can ask ChatGPT, Claude, an AI website builder, or another coding assistant to create a landing page, custom calculator, contact form, WordPress plugin, provider resource, e-commerce feature, or even an entire website.

We understand why that is appealing.

AI can make development feel faster and more accessible. It can help turn an idea into a working prototype without going through a traditional development process. In some cases, the result may look professional and function exactly as expected.

But for a pharmacy website, “it works” cannot be the end of the review process.

Our concern is not the use of AI itself. AI can be a valuable tool for research, ideation, prototyping, troubleshooting, and professional development workflows.

Our concern is what happens when AI-generated pharmacy website code is published without the same security review, testing, oversight, and accountability expected of a professionally developed website.

The question is not simply: Did AI make it work?

The more important question is:

Has someone qualified verified that it works safely and appropriately for this pharmacy, its patients and providers, and the website environment in which it will operate?

What Is AI-Generated Website Code?

AI-generated website code is website code created partly or entirely by a generative artificial intelligence tool in response to written instructions.

That may include:

• HTML and CSS for webpages
• JavaScript for interactive features
• PHP for WordPress functionality
• Custom WordPress plugins
• Forms and calculators
• Database interactions
• API integrations
• E-commerce functionality
• Patient or provider tools
• Custom dashboards or portals

There is an important distinction between AI-assisted development and publishing unsupervised AI-generated code.

An experienced developer or software engineer may use AI to accelerate repetitive work, troubleshoot a problem, evaluate possible approaches, or create a starting point. The developer then reviews the output, understands how it interacts with the complete website, tests it, and takes responsibility for the finished implementation.

That human oversight matters.

Codacy identifies legitimate advantages of AI-assisted coding, including code generation, troubleshooting, refactoring, and productivity. Elementor and HubSpot similarly recognize benefits such as faster prototyping and making web development more accessible.

Those benefits are real.

For pharmacies, however, they need to be balanced against the additional responsibilities that come with operating a healthcare website.

1. AI-Generated Pharmacy Website Code Can Be an Excellent Prototype

Speed is probably the most obvious advantage of AI website coding. A prompt can create a rough page, proof of concept, or first version of a new feature within minutes.

A pharmacy might use AI to explore questions such as:

• Could we build a calculator to help patients understand this service?
• What could a provider portal look like?
• Could this form collect the information our team needs?
• How might we organize information about our compounding specialties?
• Could we make this workflow easier for patients?

These are reasonable uses of AI.

In fact, this may be where AI-generated pharmacy website code provides some of its greatest value: helping turn an idea into a prototype that can be evaluated.

But there is a significant difference between a prototype and production-ready code.

A prototype demonstrates an idea.

Production code needs to function reliably within the entire pharmacy website, across devices and browsers, while meeting appropriate standards for security, privacy, accessibility, performance, data handling, and maintainability.

A feature can pass the “it works on my computer” test and still fail several of those requirements.

2. Security Is One of the Biggest Risks of AI Website Coding for Pharmacies

Pharmacy website security should be one of the first considerations before AI-generated code is added to a live website. AI may create functional code without identifying vulnerabilities that are difficult to see from the front end.

Potential concerns become more significant when code:

• Accepts information from users
• Accesses or modifies a database
• Connects to an API
• Uses third-party libraries or services
• Handles logins or authentication
• Changes WordPress user permissions
• Stores information
• Sends information by email
• Creates downloadable files
• Processes payments
• Allows code or functionality to be modified from the WordPress backend

For example, an AI-generated form may appear to work perfectly. But where is the submitted information sent? Is it also being logged somewhere? Is input properly validated? Does a third-party service receive a copy? Is sensitive information stored in WordPress? Are permissions configured correctly?

A website visitor may never see the problem.

That is part of what makes security different from design.

A broken layout is visible. A security vulnerability may not become visible until it is exploited.

The Open Worldwide Application Security Project (OWASP) recommends human review, dependency management, credential protection, appropriate testing environments, and defined accountability when AI tools are part of a secure development workflow.

That does not mean all AI-generated pharmacy website code is insecure.

Human developers can write insecure code too.

The issue is that someone without development and cybersecurity expertise may have no reliable way to identify the difference between functional code and securely developed code.

And asking the same AI tool that generated the code, “Is this secure?” should not be treated as an independent security review.

3. HIPAA Changes the Conversation for Pharmacy Websites

For independent and compounding pharmacies, security can also intersect with HIPAA.

Many pharmacies are HIPAA covered entities because they are healthcare providers that transmit health information electronically in connection with transactions for which HHS has adopted standards.

That does not mean every public webpage or every line of website code automatically involves HIPAA.

It means pharmacies need to understand what information a website feature collects, where that information goes, who receives it, and how it is protected.

The U.S. Department of Health and Human Services explains that the HIPAA Security Rule establishes standards for protecting electronic protected health information, or ePHI. Covered entities and applicable business associates are required to implement appropriate administrative, physical, and technical safeguards to protect its confidentiality, integrity, and availability.

This becomes highly relevant to AI-generated pharmacy website code when the functionality creates, receives, maintains, transmits, or provides access to PHI or ePHI.

What Types of Pharmacy Website Features Deserve Extra Review?

Consider features such as:

• Prescription refill forms
• Patient intake forms
• Patient portals
• Secure messaging
• Appointment or consultation requests
• Forms that collect health conditions or medication information
• Tools that combine health information with identifying information
• Uploaded prescriptions or documents
• Patient account functionality
• Health-related calculators that collect user information
• Chat tools involving patient-specific information
• Integrations with pharmacy, scheduling, CRM, or healthcare systems

The important question is not whether an AI tool created the feature.

It is what the feature actually does with patient information.

HIPAA Compliance Is About the Entire Data Flow

A webpage cannot simply be labeled “HIPAA compliant” because the visible form looks secure.

You need to understand the complete data flow.

For example:

Patient → Website Form → Form Processor → Email Notification → Database or Storage → Pharmacy Staff

Every step matters.

If a third-party vendor creates, receives, maintains, or transmits PHI on behalf of a covered entity, that relationship may make the vendor a business associate and require an appropriate Business Associate Agreement, or BAA.

Simply purchasing software does not automatically make a vendor a business associate. The vendor’s role and access to PHI matter.

This is another area where AI-generated pharmacy website code can create unexpected risk.

AI may recommend a convenient third-party API, form processor, database, analytics tool, chatbot, automation service, or other technology without evaluating whether that vendor is appropriate for the pharmacy’s intended use or whether a BAA or other safeguards are required.

The code may work perfectly while the underlying data flow remains inappropriate.

A Privacy Policy or Disclaimer Does Not Fix an Improper Data Flow

Adding a privacy statement to a website does not automatically make an otherwise inappropriate disclosure of PHI permissible.

Similarly, a standard cookie-consent banner is not a substitute for determining whether a technology interacting with PHI is appropriate under HIPAA.

Pharmacies should know which website technologies are receiving information, particularly on patient-facing forms, portals, registration pages, and other functionality involving identifiable health information.

That includes technology a business owner may not immediately think about as part of the form itself.

Analytics scripts, tracking pixels, session replay tools, chat platforms, form processors, automation tools, embedded services, and APIs can all become part of a website’s data environment depending on how they are configured.

This is why pharmacy website security and HIPAA review need to consider the full technology stack, not only the visible webpage.

4. Be Careful What You Give the AI Tool, Too

There is another security issue that is easy to overlook. The risk is not limited to the code AI produces. It also matters what information you give the AI tool in the first place and which version of that tool your pharmacy is using.

A pharmacy team should not casually paste real patient information, passwords, API credentials, database contents, private configuration files, proprietary business information, or other sensitive material into an AI tool simply because it makes development or troubleshooting easier.

For professional pharmacy use, we also recommend avoiding free consumer AI tools and accounts whenever possible.

Free AI vs. Paid AI: Why the Account Type Matters

A free consumer account is usually not appropriate for pharmacy-related business information, website development, internal processes, or anything that may involve sensitive data.

Paid business-grade AI platforms may provide important protections that consumer tools do not, such as:

• Business-specific privacy terms
• Commitments not to use workspace data for model training
• Encryption of business data
• Administrative controls
• User and permission management
• Organization-level retention settings
• Security and compliance documentation
• Greater control over connected tools and integrations
• Contractual terms designed for organizational use

For example, OpenAI states that information submitted through its ChatGPT Business and Enterprise workspaces is not used to train its models by default. By comparison, ChatGPT’s individual consumer services, including Free, Plus, and Pro plans, have separate data controls that determine whether eligible conversations may be used to improve its models.

That distinction is important.

Paying for an individual consumer subscription may give you access to more capable AI models and features, but paying for AI does not automatically make the tool appropriate for sensitive pharmacy use.

A pharmacy should evaluate the actual account type, privacy terms, data-use policies, retention practices, administrative controls, and contractual protections rather than assuming that any paid version is inherently secure.

Paid AI Does Not Automatically Mean HIPAA Compliant

This distinction becomes even more important if PHI could be involved.

A paid subscription by itself does not make an AI tool HIPAA compliant.

The pharmacy needs to determine whether the technology and intended use are appropriate under its privacy and security obligations, whether PHI will be created, received, maintained, or transmitted through the service, and whether an applicable Business Associate Agreement is required.

For example, OpenAI offers HIPAA-eligible services under specific configurations and Business Associate Agreements, but not every ChatGPT subscription qualifies. A standard consumer subscription should not be assumed to support the use of PHI simply because it is a paid account.

The same evaluation should be applied to any AI platform a pharmacy considers using.

Before adopting an AI tool for professional use, ask:

• Is this a consumer product or a business product?
• Will our information be used to train or improve the provider’s models?
• Can that use be disabled?
• How long is our information retained?
• Who within our organization can access the account?
• Does the platform provide administrative and permission controls?
• Can the vendor meet our organization’s security requirements?
• If PHI is involved, is the service eligible for that use?
• Will the vendor sign an appropriate BAA when required?

The answer should come from the provider’s current terms, privacy documentation, and contractual commitments, not from assumptions about the product because it has a monthly fee.

Keep Sensitive Information Out of AI Prompts

Even when using an appropriate paid business AI platform, pharmacies should follow the principle of data minimization: provide only the information necessary to accomplish the task.

A developer should not need a real patient record to ask an AI tool how a patient intake form should function.

They should not paste a live database password into a prompt to troubleshoot a connection error.

They should not provide real API credentials when a placeholder can demonstrate how an integration works.

Use synthetic, anonymized, or test data whenever possible.

The same principle applies to pharmacy employees using AI for other business purposes. Before placing information into an AI prompt, consider whether the same task could be accomplished without including patient information, employee data, passwords, confidential business information, or other sensitive material.

Using a paid, business-grade AI tool can provide stronger privacy and security protections, but the pharmacy still has a responsibility to control what information enters the system.

When in doubt, keep sensitive information out of the prompt until the pharmacy has confirmed that the AI platform, account configuration, vendor relationship, and intended use meet its security and privacy requirements.

5. Clinical Calculators and Recommendations Raise the Stakes Further

Consider a compounding pharmacy that wants to add a custom calculator to its website.

If the calculator estimates shipping charges based on a ZIP code, the primary concerns may be functionality, security, and privacy.

Now imagine the calculator asks a user to enter age, weight, current medications, laboratory values, symptoms, or other health information and then produces a dosing suggestion, treatment recommendation, or interpretation.

The issue has changed substantially.

Questions now include:

• Who validated the calculation?
• Who reviewed the clinical logic?
• Could an incorrect result influence a healthcare decision?
• What information is being collected?
• Is the user identifiable?
• Where is the information transmitted or stored?
• Does a third party receive it?
• Who maintains the algorithm when clinical guidance changes?
• Who is responsible if the output is wrong?

For a pharmacy, these questions should involve appropriate technical and clinical review and, depending on the circumstances, may also require privacy, compliance, legal, or insurance guidance.

A disclaimer may be appropriate in some circumstances.

But a disclaimer does not validate inaccurate code or incorrect clinical logic.

This is one reason Storey Marketing recommends a considerably higher standard of review for AI-generated pharmacy website code involving patient information, clinical calculations, medication information, screening tools, treatment recommendations, or other healthcare decision support.

6. Accessibility, Mobile Performance, and SEO Still Require Testing

Security and HIPAA may be the highest-priority concerns, but they are not the only ones.

A webpage can look professional while still creating problems for users.

AI-generated pharmacy website code may need to be reviewed for:

• Semantic HTML
• Keyboard navigation
• Form labels
• Focus behavior
• Screen-reader compatibility
• Color contrast
• Mobile responsiveness
• Touch targets
• Error messages and status notifications
• Browser compatibility

The World Wide Web Consortium’s WCAG standards provide established criteria for web accessibility.

Mobile behavior also requires real-world testing. Code can appear correct on a desktop monitor while behaving differently on phones, tablets, uncommon browsers, or different screen sizes.

Performance and SEO need attention as well.

AI-generated code can introduce duplicate styling, unnecessary JavaScript, excessive dependencies, poorly structured headings, technical crawl issues, slow page performance, or conflicts with an existing WordPress theme or plugin.

Using AI does not automatically hurt SEO. But using AI does not automatically produce technically optimized code.

For pharmacy owners who rely on their websites to educate patients and providers, generate leads, support prescription workflows, and establish professional credibility, “the page loads” is only the beginning of quality assurance.

7. AI-Generated Code Can Be Cheap to Build and Expensive to Own

One of the strongest arguments for AI website coding is cost.

If an AI tool creates a plugin in 10 minutes, why pay a developer?

Sometimes the generated solution really is straightforward.

In other situations, the cost has simply moved from development to review, troubleshooting, security, and long-term maintenance.

Consider an AI-generated WordPress plugin.

It performs exactly what the pharmacy requested today.

But:

• Who maintains it when WordPress changes?
• Who reviews it after PHP updates?
• Who tests it against other plugins?
• Who checks its dependencies for security problems?
• Who updates it when an API changes?
• Who verifies it does not interfere with other website functionality?
• Who will understand the code two years from now?
• What happens if the employee who prompted AI to create it leaves?

Established commercial plugins generally have developers, documentation, update processes, compatibility testing, and support.

A custom plugin created during an AI conversation may have none of those things.

The maintenance burden of AI-generated pharmacy website code becomes particularly important when a pharmacy expects its web developer to assume responsibility for code they did not create.

Why Reviewing AI-Generated Code May Cost Extra

When a developer is asked to support externally created or AI-generated code, responsible review takes time.

That may include:

• Understanding what the code does
• Reviewing database interactions
• Reviewing third-party APIs and services
• Evaluating authentication and permissions
• Auditing dependencies
• Testing for conflicts
• Reviewing data storage and transmission
• Testing mobile behavior
• Evaluating accessibility
• Reviewing security concerns
• Determining how updates will be handled

In some situations, reviewing and repairing AI-generated pharmacy website code may take longer than rebuilding the feature correctly within the website’s established framework.

That additional cost is not a punishment for using AI.

It reflects the work necessary for a developer to understand and responsibly support code they did not create.

“Free code” is not necessarily free to own.

Who Is Responsible for AI-Generated Code on a Pharmacy Website?

This may be the most important question. AI does not accept responsibility for your website after launch.

It does not monitor WordPress updates.

It does not renew your cyber insurance.

It does not review changes in an API.

It does not perform your HIPAA risk analysis.

It does not determine whether a new vendor requires a BAA.

It does not respond to a patient whose information was sent somewhere it should not have been.

And it does not automatically recognize when healthcare functionality has crossed from a marketing tool into something requiring additional clinical or regulatory oversight.

Someone has to own the outcome.

If a pharmacy creates a webpage, plugin, calculator, form, integration, or other functionality using AI and then asks a developer to put it on the pharmacy’s website, a responsible developer should not be expected to paste that code into production without reviewing it.

Sometimes review will show that the feature is usable with minor changes.

Other times, the safer and more efficient option may be rebuilding the functionality using established WordPress tools, a vetted plugin, or professionally developed code.

Storey Marketing’s Approach to AI Website Coding for Pharmacies

Storey Marketing does not recommend using AI-generated pharmacy website code as a substitute for professional development and review on a live pharmacy website.

That does not mean we are opposed to AI.

There is a significant difference between an experienced professional using AI as one tool within a controlled development process and publishing whatever an AI tool produces because it appears to work.

AI can help:

• Research a technical question
• Explore possible solutions
• Create prototypes
• Accelerate repetitive development tasks
• Troubleshoot issues
• Explain unfamiliar code
• Test approaches before development begins

But a qualified person still needs to be responsible for the final implementation.

Storey Marketing has been developing websites specifically for independent and compounding pharmacies since 2008. Our website development process prioritizes secure patient communication, mobile responsiveness, accessible design, SEO, maintainable WordPress functionality, and HIPAA-aware workflows appropriate to pharmacy websites.

That pharmacy-specific experience matters because healthcare website development requires more than knowing how to make a webpage work.

When patient information, healthcare content, custom forms, ecommerce, third-party integrations, or specialized functionality are involved, the website needs to be evaluated within the context of the pharmacy using it.

Before Adding AI-Generated Pharmacy Website Code to Your Site

Before publishing AI-created functionality, ask:

• What exactly does the code do?

• Does it collect patient or provider information?

• Could any of that information constitute PHI or ePHI?

• Where is submitted information transmitted or stored?

• Does any third party receive the information?

• Does a vendor need access to PHI to provide the service?

• Has the pharmacy evaluated whether a BAA is required?

• Does the feature connect with an API or external database?

• Does it rely on third-party libraries or services?

• Has a qualified developer reviewed the complete code?

• Has it been tested in a staging environment?

• Has it been reviewed for security, accessibility, performance, responsive behavior, and browser compatibility?

• If it provides health-related calculations or recommendations, who validated the clinical logic?

• Who is responsible for maintaining the code?

• What happens when WordPress, PHP, plugins, APIs, or regulations change?

• Is there a backup and rollback process if something fails?

If you cannot confidently answer those questions, the AI-generated pharmacy website code is probably still a prototype.

AI Can Help Build the Idea. A Professional Still Needs to Own the Outcome.

AI is making web development more accessible, and that creates legitimate opportunities.

Pharmacy owners can explore ideas. Developers can work more efficiently. Teams can create prototypes and better understand what may be technically possible before investing in full development.

But your pharmacy website is not simply a collection of pages that look good on a screen.

It is part of your digital infrastructure.

It may communicate with patients, collect information, connect to vendors, support prescription workflows, educate healthcare professionals, generate revenue, and represent your pharmacy’s professional credibility.

That means it needs to remain secure, usable, accessible, maintainable, and appropriate for the healthcare environment in which your pharmacy operates.

Our position at Storey Marketing is straightforward:

AI-generated pharmacy website code can be a useful starting point. 

It should never be assumed to be production-ready simply because it works.

If you are considering adding AI-created functionality to your existing pharmacy website, or already have custom code that needs to be evaluated, Storey Marketing’s pharmacy website development team can help determine the safest, most practical, and most maintainable approach.

*Disclaimer: This article is intended for general educational purposes and should not be considered legal, cybersecurity, clinical, or HIPAA compliance advice. Pharmacies should consult qualified professionals regarding requirements specific to their organization and use case.

Frequently Asked Questions About AI-Generated Pharmacy Website Code

Is AI-generated website code HIPAA compliant?

There is no automatic designation that makes AI-generated pharmacy website code HIPAA compliant simply because the code works or uses a particular platform. HIPAA considerations depend on factors such as whether the pharmacy is a covered entity, whether PHI or ePHI is involved, how information is created, received, maintained, transmitted, or disclosed, what safeguards are in place, and whether applicable third-party vendors require Business Associate Agreements.

Can ChatGPT or Claude build a pharmacy website?

Technically, yes, but it can’t perform the same review scale as human developers. Generative AI tools can create HTML, CSS, JavaScript, WordPress code, forms, calculators, page layouts, and other website functionality. The ability to generate functional code does not replace professional testing for security, privacy, HIPAA implications, accessibility, performance, maintainability, or clinical accuracy.

Can a pharmacy use AI to create a patient form?

AI can create the code for a form, but a pharmacy should not publish it without reviewing the complete data flow. If the form collects PHI, the pharmacy needs to evaluate how that information is protected, transmitted, stored, accessed, and shared with vendors. The generated form itself is only one piece of that system.

Can a pharmacy use AI to create a medical or dosing calculator?

AI can technically generate a calculator, but technical functionality does not establish clinical accuracy. A calculator that provides dosing information, treatment recommendations, screening results, or other healthcare guidance requires appropriate technical and clinical validation. Privacy, HIPAA, legal, compliance, and insurance considerations may also apply depending on the functionality.

Can I enter patient information into an AI tool while building or troubleshooting my website?

Pharmacies should not casually place PHI or other sensitive patient information into an AI tool for development or troubleshooting. Before any technology receives PHI, the pharmacy should determine whether the use is permitted, whether the vendor relationship is appropriate, whether a BAA is required, and what safeguards are in place. Synthetic test data should be used whenever real patient information is unnecessary.

Can AI-generated WordPress plugins create security risks?

Yes. An AI-generated WordPress plugin may introduce vulnerabilities, insecure database interactions, inappropriate user permissions, outdated dependencies, API risks, or conflicts with other website components. That does not mean every AI-generated plugin is unsafe, but it should be professionally reviewed before installation on a production pharmacy website.

Will AI-generated website code hurt my pharmacy’s SEO?

Not automatically. Search engines do not penalize a website simply because AI assisted with its development. However, AI-generated pharmacy website code can still create technical SEO problems if it affects crawlability, page speed, heading structure, structured data, mobile performance, metadata, or site architecture.

What should I do if AI-generated code is already on my pharmacy website?

Do not assume that it automatically needs to be removed. Tell your website developer what was added, what it was designed to do, and how it was created. The code should then be reviewed within the context of the complete website, including security, data handling, third-party connections, accessibility, performance, and maintainability.

Does Storey Marketing use AI?

Yes. AI can be a useful assistive tool for research, ideation, troubleshooting, prototyping, and other professional workflows. Storey Marketing does not view AI output as a replacement for professional website development, security review, or human accountability. The finished website or functionality still needs to meet the standards we expect for independent and compounding pharmacy websites.