Powered by artificial intelligence, Conditions can interpret and organize clinical notes stored across different systems for different purposes by different health care professionals.
‘When it comes to writing notes, clinicians use different abbreviations or acronyms depending on their personal preference, what health system they’re a part of, their region and other factors.” Paul Muret, VP and GM of Google Health’s Care Studio, wrote yesterday in a blog post. “All of this has made it difficult to synthesize clinical data — until now.”
Conditions uses natural language processing to understand the notes, rank conditions by importance and acuity, and organize them to help make the best choices for a patient. In addition, the software links lab reports, medication lists, studies and other helpful data, while highlighting any critical information that might be missing.
“If a clinician clicks on a condition, like diabetes, they may see blood sugar levels, insulin administrations, endocrinology consult notes and retinopathy screening studies,” Muret wrote. … “We’d flag if standard labs for a patient with diabetes are missing, like hemoglobin A1C results. With these resources, a clinician can quickly understand a new patient’s medical history or easily review an existing patient’s insulin regimen before their appointment.”
Medical Design & Outsourcing recently discussed cloud-enabled medtech with Alissa Hsu Lynch, the global lead for medtech strategy and solutions at the Alphabet (Nasdaq: GOOGL) subsidiary’s cloud-computing business, Google Cloud.