In underwriting, one of the biggest challenges you face is reviewing APS ( Attending Physician Statements) reports. Those reports are lengthy, filled with dense medical details, and can take hours to go through. How many hours you have lost digging through reports just to find a few key points? Manual process slows down underwriting decisions and creates frustration.
Get insights without the effort, and complete your tasks 2x faster. Ready to see how is it possible? With AI, APS reports turn into quick, clear summaries that highlight only the details underwriters need without endless searching. In this blog, let’s dive into how AI summaries work and how they are reshaping the underwriting process.
Why are APS reports so challenging to review?
APS reports are inconsistent and complex. Each physician documents APS reports in different formats and styles. Some reports may be structured, others contain stacks of handwritten notes, scanned lab reports, or lengthy discharge summaries. Important details can be scattered across multiple documents or hidden in unclear dates and incomplete timelines. It leaves underwriters to sort out everything manually.
For example, for a condition of hypertension, one physician might list a condition as HTN, another may only mention a history of high blood pressure. They all mean the same thing, but you still need to double-check and interpret these variations to confirm accuracy.
This leads to back-and-forth communication, requesting additional records from providers. You spend valuable time connecting the dots rather than applying our expertise to assess risk.
How does AI create APS summaries?
Collects and reads the APS document
By using OCR (Optical Character Recognition), AI handles different APS document formats such as PDFs, scanned images, typed records, and handwritten notes. It converts them into a clear, readable format. After conversion, it reviews physician notes, lab results, medication lists, hospital admissions, and discharge summaries, making sure no important medical information is missed.
Extracts key medical facts
AI uses natural language processing (NLP) to read through the converted APS report and pick out the most important medical details. It looks for medical terms, patterns, and context in the records. For example, if a note mentions: the patient was diagnosed with Type II Diabetes in 2015, is currently taking Metformin, and has an HbA1c of 7.8%, the AI automatically captures:
- Diagnosis: Type II Diabetes
- When it started: 2015
- Treatment/medication: Metformin
- Latest test result: HbA1c 7.8%
- Current status: Ongoing, under treatment
Filters out unnecessary information
Routine health checks like blood pressure, weight, or temperature are recorded at every visit, which makes APS reports lengthy. AI removes these repeated entries. It also removes notes about the same medicine prescribed repeatedly.
Small health issues, like minor injuries or short-term illnesses, are left out because they don’t impact long-term health. By this filtering, the APS summary becomes shorter, easier to read, and focused on the medical information that is most important.
Organizes into structured categories
AI organizes APS details into clear sections, so they are easy to follow. You get a simple breakdown like this:
- Personal details: Age, gender, and lifestyle factors (like smoking or alcohol use)
- Past medical history: Major health conditions from the past
- Current conditions: Ongoing illnesses or health issues
- Surgeries & hospital stays: Operations or hospital admissions
- Medications: List of medicines the person is currently taking
- Lab and test results: Key findings from blood tests, scans, and imaging reports
- Doctor’s notes and recommendations: What the physician observed and advised
Summarizes in clear language
Converts long medical jargon into simple, easy-to-read language. Example: Instead of writing patient demonstrates poorly controlled Type II Diabetes Mellitus with elevated HbA1c at 9.2% and neuropathic complications, it simplifies to: Type II Diabetes, not well controlled, HbA1c 9.2%, with nerve issues.
Highlights critical issues
Converts long medical jargon into simple, easy-to-read language. Example: Instead of writing patient demonstrates poorly controlled Type II Diabetes Mellitus with elevated HbA1c at 9.2% and neuropathic complications, it simplifies to: Type II Diabetes, not well controlled, HbA1c 9.2%, with nerve issues.
Ensures consistency and accuracy
AI checks the APS to make sure all information matches across different notes. If a diagnosis date or medication is mentioned in multiple places, it checks for conflicts and keeps the correct version. It also ensures that the summary does not change the meaning of the physician’s original report.
Produces a concise summary for decision making
AI creates a short summary, usually 1-5 pages instead of hundreds. This summary brings all the key medical facts, timelines, and risks together in one place. It saves time for underwriters, helping them review the case quickly and make decisions with confidence.
Automate APS summaries with LezDo TechMed
What if reviewing an APS gives you clarity and the key facts in just minutes? With LezDo TechMed’s AI APS summary services, that’s exactly what you get. Most tools only capture surface-level data, but our AI goes further:
- Understands medical context – It doesn’t just list conditions, it connects timelines, treatments, and outcomes.
- Delivers unmatched accuracy – Every detail is cross-checked so nothing important is overlooked.
- Cuts review time by up to 80% – Hundreds of pages are distilled into a few, without losing critical insights.
- Tailored for underwriters – Designed with clarity and decision-making in mind, not just data extraction.
Need Precise AI APS Medical Summaries?
To wrap up,
When your hours-long APS review process is transformed into a quick, precise, and easy-to-follow timeline, you can concentrate on making credible decisions, going through endless pages of information. By finding key medical facts, organizing information, and eliminating unnecessary details, your process becomes error-free and more assured.
