# Healthcare

URL: https://qualixsolutions.com/industries/healthcare/

Secure software for providers, patients, and healthcare operations.

Healthcare Software, built for the workflow.

Real clinical builds, with compliance and PHI handled from the start.

#### Overview

Healthcare software cannot afford to be generic. Every workflow touches patient data, every feature has a compliance question attached to it, and every shortcut shows up later as a liability. Qualix has built inside two very different corners of healthcare: ambient AI for surgical documentation and CPT coding, and precision medicine tooling for a pharmacogenomics platform. Both projects required the same underlying discipline: understand the clinical workflow first, then build the software around it, not the other way around.

#### Who we build for

- Clinical practices and surgical teams: looking to reduce documentation and coding overhead without adding new tools their staff has to fight with.
- Precision medicine and pharmacogenomics companies: building platforms that connect doctors, labs, test results, and treatment recommendations into one system.
- Health tech and SaaS teams: who need an engineering partner that already understands PHI constraints, clinical terminology, and the pace at which healthcare buyers actually move.

#### Problems we solve

- Patient history, HIPAA-compliant: Tracking patient history across visits while keeping storage, access logs, and consent management HIPAA compliant.
- Self-service scheduling: Appointment scheduling and calendar management through a patient facing portal
- One source of truth for records: Fragmented records across providers, labs, and specialists with no single source of truth
- Intake that syncs to the record: Manual intake and consent forms that don't sync back into the patient record
- Insurance eligibility, up front: Insurance eligibility verification before appointments
- Referral tracking in the system: Referral tracking between providers that gets lost in email or fax instead of the system
- Automated CPT coding: Manual CPT coding that is slow, inconsistent, and directly affects billing accuracy
- Real-time surgical documentation: Surgical documentation created after the fact that loses detail and adds burden to physicians
- PGx & medication data handling: Pharmacogenomics and medication data that carry sensitivity beyond standard PHI and need their own handling logic
- Automated reporting & records: Reporting and record generation for patients and providers that is manual, slow, and error prone

#### Compliance and data handling

SOC2 and HIPAA controls were implemented and achieved on both of these projects. This is a project level commitment, not a blanket company certification, and we're upfront about that distinction with every healthcare client.

- Encryption of data at rest and in transit
- Role based access control so only the right people see the right data
- Audit logging on any system touching PHI
- Business Associate Agreements in place with vendors that touch patient data
- Access built around the minimum necessary standard, not broad default permissions

#### Complexities in Healthcare Tech

**CPT ≠ ICD-10**

PT and ICD10 are two different coding systems entirely, and conflating them is an easy way to lose credibility with a clinical buyer

**Physician sign-off required**

Physician sign off is usually required before AI generated notes or codes become part of the official record

**Genomics data > standard PHI**

Pharmacogenomics and genomics data need to be treated as more sensitive than standard PHI, both in storage and in who can access it

**Recommendations must be explainable**

Medicine recommendation logic built on PGx results has to be explainable to a physician, not just accurate, since doctors need to understand why a recommendation was made

**Prescribing hits DEA rules**

Prescribing workflows intersect with DEA and e-prescribing regulations, which sit outside general HIPAA requirements

**Claims decide if you get paid**

Claims scrubbing and denial management directly determine whether a practice actually collects the revenue it billed for

**Modifiers move reimbursement**

Modifier codes and bundling rules affect reimbursement in ways that are invisible to anyone outside billing and coding

**Every role sees a different slice**

Role based access needs to separate physicians, coders, billers, and administrative staff, since each role should see a different slice of the same patient record

**Consent isn't a checkbox**

Consent is not a one time checkbox, it needs to be logged and updated as patient preferences or regulations change

**History spans many systems**

Patient history often spans multiple providers and systems, and reconciling that into one accurate timeline is harder than it looks

**Scheduling is multi-variable**

Appointment scheduling on a patient facing portal has to account for provider availability, insurance coverage, and visit type at the same time

**Eligibility, in real time**

Insurance eligibility often needs to be verified in real time before a visit, not after the fact

**Referrals die in fax & email**

Referral tracking between providers breaks down quickly when it depends on fax or email instead of living in the system

**Shadow data is a trap**

Intake and consent data collected outside the core record needs a clear path back into the patient's file, or it becomes shadow data nobody can rely on

#### Tools and systems we integrate with

- EHR & EMR Platforms: Connect to the systems your clinicians already use.
- HL7 & FHIR: Standards-based interoperability between systems.
- Billing & Claims: Integrate with your revenue-cycle tools.
- Clinical Decision Support: Feed and pull from CDS tooling.

#### FAQs

Q: Do you hold SOC2 or HIPAA certification as a company?

Not yet at the company level. We're currently working toward SOC2 Type II and HIPAA certification. On the projects listed here, SOC2 and HIPAA controls were implemented and achieved at the project level.

Q: Can you work with PHI directly?

Yes. We've built systems that handle patient records, test results, and medication data directly, with access controls and audit logging built in from the start.

Q: Do you build the whole platform or specific modules?

Both, depending on the engagement. With DocuCoder we built the core coding system. With Kohif Pharmagenix we built specific modules inside their broader platform. We scope to what the client actually needs rather than defaulting to a full rebuild.

Q: Can you integrate with our existing EHR?

In most cases, yes, through HL7 or FHIR depending on what your current system supports. Interoperability is usually the real technical challenge, not the AI or application layer.

Q: How do you handle AI generated clinical content?

Any AI generated documentation or coding output is built to route through physician review and sign off before it becomes part of the official record. We don't treat AI output as final without a human check.
