PFT interpretation support
Pulmonary function tests require expert interpretation. Pulmonology AI can support PFT interpretation, surfacing patterns and helping pulmonologists work through functional studies more efficiently.
Pulmonology AI is about the specialty’s distinct mix: interpreting pulmonary function tests, managing COPD and asthma over time, running sleep study workflows, and correlating chest imaging with clinical findings. Pulmonology blends functional testing, chronic respiratory disease management, and imaging, so AI has to support test interpretation, longitudinal disease tracking, and imaging correlation together. Taction Software builds pulmonology AI as custom, EHR-integrated software tuned to respiratory care, with pulmonologists in control of every clinical decision. This page establishes pulmonology AI as a distinct specialty capability within our broader specialty clinic AI work. We are a healthcare-focused engineering team, founded in 2013, and every build runs under a signed BAA.

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Pulmonology AI has to be tuned to respiratory care, because pulmonology depends on functional test interpretation, chronic respiratory disease management, sleep medicine, and chest imaging, each with its own logic that generic AI does not capture. Pulmonologists interpret PFTs, manage COPD and asthma longitudinally, run sleep studies, and correlate chest imaging with the clinical picture. Generic AI misses the functional-testing logic and the respiratory-disease patterns pulmonology depends on. The right pulmonology AI supports PFT interpretation, tracks COPD and asthma, aids sleep study workflow, and correlates imaging, all with the pulmonologist in control. A partner who understands pulmonology builds for its testing-plus-chronic-disease reality. Below are the six areas where pulmonology AI delivers the most value.
Pulmonary function tests require expert interpretation. Pulmonology AI can support PFT interpretation, surfacing patterns and helping pulmonologists work through functional studies more efficiently.
COPD and asthma are managed longitudinally. Pulmonology AI can track disease control, exacerbations, and treatment response, helping pulmonologists manage these chronic respiratory conditions over time.
Sleep medicine is data-heavy. Pulmonology AI can support sleep study workflow and documentation, helping pulmonologists manage the volume and complexity of sleep testing and follow-up.
Pulmonology correlates imaging with clinical findings. Pulmonology AI can support chest imaging correlation, helping pulmonologists connect radiographic findings to the respiratory picture.
Respiratory exacerbations drive admissions. AI that tracks exacerbation risk helps pulmonologists identify patients at risk of decline and intervene earlier across the respiratory population.
Pulmonology depends on PFT, sleep, and imaging data. Pulmonology AI must integrate with these sources so it works from the complete respiratory picture the specialty requires.
Taction Software builds pulmonology AI by designing for the specialty’s testing-plus-chronic-disease reality, not by applying a generic clinical model. We build PFT interpretation support, COPD and asthma tracking, sleep study workflow, and chest imaging correlation on your own data, integrated with the PFT, sleep, and imaging sources pulmonology depends on, with pulmonologists in control. Rather than a generic build, we scope your respiratory population, testing volume, and data sources first, then build to the specialty. Most engagements start with a Discovery Sprint that maps the pulmonology workflow and data, then move into a production-ready build. The result is pulmonology AI that supports test interpretation, tracks respiratory disease, and supports the pulmonologist’s decisions.
We build PFT interpretation support that surfaces patterns, helping pulmonologists work through functional studies efficiently.
We build longitudinal tracking of disease control, exacerbations, and treatment response for COPD and asthma management.
We build sleep study workflow and documentation support, drawing on our ambient clinical documentation work, to manage sleep testing volume.
We build chest imaging correlation support, connecting to our medical imaging AI work, to link radiographic findings to the clinical picture.
We build exacerbation risk tracking, connecting to our AI patient risk stratification work, so pulmonologists intervene earlier.
We integrate with PFT, sleep, and imaging data so pulmonology AI works from the complete respiratory picture the specialty requires.
Engagements follow the same fixed-price productized tiers we use across our healthcare AI work, so cost and scope are clear before the build starts.
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Pulmonology AI can support PFT interpretation, track COPD and asthma longitudinally, aid sleep study workflow and documentation, correlate chest imaging with clinical findings, and track exacerbation risk, all on your own data and with pulmonologists in control. It is tuned to pulmonology’s mix of functional testing, chronic respiratory disease, and imaging rather than being a generic clinical model.
Pulmonology depends on functional test interpretation, chronic respiratory disease management, sleep medicine, and chest imaging correlation, each with logic a generic model does not capture. Pulmonology AI is tuned to PFT patterns, respiratory disease tracking, sleep workflow, and imaging correlation, distinguishing it from specialties with different data and clinical logic.
Yes. Pulmonary function tests require expert interpretation, so pulmonology AI can support it by surfacing patterns and helping pulmonologists work through functional studies more efficiently. The AI supports interpretation, but the pulmonologist makes the clinical read and every decision, with the AI helping process the functional data rather than replacing expert judgment.
Yes. COPD and asthma are managed longitudinally, so pulmonology AI can track disease control, exacerbations, and treatment response over time, helping pulmonologists manage these chronic respiratory conditions. It also supports exacerbation risk tracking, helping identify patients at risk of decline earlier so pulmonologists can intervene before an admission.
Yes. Pulmonology correlates imaging with the clinical picture, so pulmonology AI can support chest imaging correlation, drawing on our medical imaging AI work, helping connect radiographic findings to the respiratory presentation. This supports the pulmonologist’s interpretation while keeping the clinical read and decisions firmly with the physician.
Yes. Most practices start with a Discovery Sprint and a production-ready build for one use case, such as PFT interpretation or COPD tracking, which keeps early cost contained while proving value. Pulmonology AI can then expand to sleep study workflow, imaging correlation, and exacerbation tracking once the first build demonstrates results.
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