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Life Sciences Patents

Digital Health Patents

Digital therapeutics and remote patient monitoring IP; AI clinical decision support patents; CGM technology; and IP strategy for digital health startups.

FAQ

Who are the major digital health patent holders, and what innovations do Abbott, iRhythm, and Google Health protect?

Digital health patents cover continuous monitoring wearable devices; digital therapeutics prescription software; AI-powered clinical decision support; and telehealth platform technology — with the most concentrated IP in medical device companies with connected monitoring portfolios and large technology companies entering healthcare: MAJOR DIGITAL HEALTH PATENT HOLDERS: ABBOTT LABORATORIES: 10,000+; specific continuous glucose monitor CGM (specific specific FreeStyle Libre: specific specific transcutaneous glucose sensor: specific specific wired enzyme amperometric sensor with specific specific glucose oxidase GOx at specific specific working electrode for specific specific interstitial glucose oxidation → specific specific H2O2 → specific specific current proportional to specific specific glucose concentration at specific specific 1-15mM range 0.01mA/mM sensitivity; specific specific factory-calibrated: specific specific no fingerstick calibration from specific specific accurate factory characterized sensor for specific specific 14-day wear; specific specific NFC near-field communication: specific specific passive 13.56MHz reader scan for specific specific 8h data transfer without specific specific battery drain on specific specific sensor); DEXCOM: 3,000+; specific real-time CGM (specific specific Dexcom G7: specific specific disposable 10-day sensor with specific specific Bluetooth low energy BLE for specific specific 1-minute real-time alert threshold for specific specific hypoglycemia <70mg/dL + specific specific hyperglycemia >250mg/dL alarm; specific specific predictive alert: specific specific ML from specific specific glucose rate-of-change for specific specific 20-minute ahead low glucose alert); IRHYTHM TECHNOLOGIES: 200+; specific cardiac monitor patch (specific specific Zio Patch: specific specific single-lead ECG ambulatory cardiac monitor: specific specific 14-day disposable adhesive patch for specific specific continuous ECG recording at specific specific 100 Hz for specific specific AI Zio Score algorithm for specific specific atrial fibrillation AF + specific specific supraventricular tachycardia SVT + specific specific AV block detection from specific specific post-wear cloud analysis vs. specific specific 24h-48h Holter monitor); GOOGLE HEALTH / GOOGLE DEEPMIND: 2,000+; specific medical AI (specific specific LYNA lymph node assistant: specific specific CNN from specific specific H&E whole-slide image WSI for specific specific breast cancer lymph node metastasis detection at specific specific 99% AUC vs. specific specific pathologist; specific specific breast mammography AI: specific specific CNN for specific specific imaging-based cancer screening); APPLE: 3,000+; specific HealthKit health platform (specific specific Apple Watch Series 4+: specific specific optical PPG + specific specific accelerometer + specific specific single-lead ECG from specific specific crown contact electrode for specific specific irregular rhythm notification IRN for specific specific AFib FDA De Novo authorization; specific specific continuous SpO2 red+IR PPG for specific specific blood oxygen estimation); NUANCE COMMUNICATIONS (MICROSOFT): 2,000+; specific ambient clinical intelligence (specific specific Dragon Ambient eXperience DAX: specific specific ASR speech recognition + specific specific NLP for specific specific ambient visit note from specific specific physician-patient conversation for specific specific EHR auto-documentation).

What innovations in digital therapeutics, AI clinical decision support, and remote patient monitoring are patentable?

Prescription digital therapeutics requiring FDA clearance; AI-powered clinical decision support generating diagnostic or treatment recommendations; and remote patient monitoring systems with predictive alerting represent the three highest-value patentable innovation areas in digital health: DIGITAL THERAPEUTICS PATENTS: PEAR THERAPEUTICS (ACQUIRED 2023); SOMRYST/SLEEPIO (BIG HEALTH); CLICK THERAPEUTICS; VOLUNTIS; HAPPYMIND; NOOM: specific prescription digital therapeutic DTx (specific specific Pear Therapeutics reSET-O: specific specific 12-week CBT cognitive behavioral therapy content delivery via specific specific smartphone app for specific specific OUD opioid use disorder as specific specific adjunct to specific specific buprenorphine treatment — first FDA-authorized PDT De Novo 2018; specific specific gamification: specific specific reward+progress mechanics to specific specific increase treatment adherence; specific specific sensor integration: specific specific sobriety token + specific specific geofence avoidance trigger for specific specific real-time just-in-time adaptive intervention JITAI from specific specific ML model on specific specific context sensor data); SPECIFIC PATENTABLE DTX INNOVATIONS: specific novel JITAI intervention trigger algorithm (specific specific specific EMA ecological momentary assessment + specific specific passive sensing accelerometer+GPS+screen-time + specific specific ML-predicted craving or specific specific relapse risk) with specific measured engagement ≥80% 30-day retention + specific specific primary endpoint primary outcome vs. specific specific active comparator in specific specific specific randomized controlled trial RCT; AI CLINICAL DECISION SUPPORT PATENTS: EPIC SYSTEMS; CERNER (ORACLE HEALTH); PHILIPS; SIEMENS HEALTHINEERS; ENLITIC; AIDOC; VIZ.AI; ARTERYS; BUTTERFLY NETWORK: specific AI clinical decision support (specific specific radiology AI: specific specific CNN deep learning model from specific specific FDA-cleared training dataset for specific specific pathology detection: specific specific pulmonary embolism PE CT triage Viz.AI <6min notification to specific specific interventional radiologist; specific specific large vessel occlusion LVO Viz.AI stroke CT perfusion triage; specific specific sepsis prediction: specific specific EWS early warning score + specific specific NLP from specific specific unstructured clinical note + specific specific lab trend LSTM for specific specific 4-hour ahead sepsis onset prediction with specific specific AUROC 0.87 on specific specific validation cohort; specific specific ambient documentation: specific specific Nuance DAX NLP→ specific specific SOAP note structure extraction for specific specific reduced EHR documentation time 45%); REMOTE PATIENT MONITORING PATENTS: LIVANOVA; MEDTRONIC CARDIAC REMOTE; INSPIRE MEDICAL; CARDIOCOM (MEDTRONIC); VIVIFY HEALTH; CURRENT HEALTH: specific remote patient monitoring RPM (specific specific continuous wearable vital sign: specific specific medical-grade single-lead ECG + specific specific PPG + specific specific activity + specific specific temperature from specific specific wrist band for specific specific 24h hospital-to-home monitoring with specific specific EHR alert integration; specific specific predictive readmission: specific specific LSTM from specific specific continuous vital sign trend + specific specific medication adherence + specific specific patient reported outcome PRO for specific specific 30-day readmission risk score for specific specific CHF+COPD RPM high-risk patient).

What are the key patents in CGM technology, mental health apps, and health data interoperability?

Continuous glucose monitoring sensor chemistry and signal processing; mental health application clinical effectiveness; and health data interoperability standards enabling the exchange of electronic health records represent three important digital health technology domains with distinct IP characteristics: CGM TECHNOLOGY PATENTS: ABBOTT; DEXCOM; MEDTRONIC MINIMED; SENSEONICS; EVERSENSE: specific CGM sensor system (specific specific Abbott FreeStyle Libre 3: specific specific GOx enzyme electrode + specific specific Nafion membrane for specific specific glucose selectivity excluding specific specific interferents ascorbate+acetaminophen + specific specific polyurethane outer membrane for specific specific glucose diffusion rate control; specific specific no calibration from specific specific CGMS regression algorithm on specific specific factory characterized electrode batch; specific specific implantable CGM: specific specific Senseonics Eversense: specific specific fluorescent glucose assay from specific specific boronic acid-substituted anthracene BODIPY indicator in specific specific subcutaneous implant 90-180 day for specific specific optical transcutaneous measurement via specific specific wearable transmitter; specific specific CGM-insulin pump closed loop: specific specific Medtronic MiniMed 780G: specific specific Extended Bolus + specific specific Auto Mode from specific specific model predictive control MPC algorithm for specific specific CGM→insulin dosing every 5min for specific specific AID automated insulin delivery in specific specific type 1 diabetes); MENTAL HEALTH APP PATENTS: BIG HEALTH; HAPPIFY; SPRING HEALTH; LYRA HEALTH; HEADSPACE; CALM: specific mental health app clinical validation (specific specific Sleepio CBT-I cognitive behavioral therapy for insomnia: specific specific 6-week digital program for specific specific sleep restriction + specific specific stimulus control + specific specific sleep hygiene; specific specific ISI Insomnia Severity Index 3-point improvement on specific specific specific RCT vs. specific specific waitlist control for specific specific FDA Breakthrough Device Designation; specific specific Woebot: specific specific conversational AI CBT chatbot from specific specific GPT-based NLP for specific specific mood monitoring + specific specific thought record + specific specific behavioral activation; specific specific clinical validation: specific specific PHQ-9 2-point improvement at specific specific 2-week vs. specific specific control RCT); HEALTH DATA INTEROPERABILITY PATENTS: EPIC; CERNER (ORACLE HEALTH); HEALTH GORILLA; COMMONWELL; CAREQUALITY; PARTICLE HEALTH: specific health data exchange (specific specific FHIR HL7 Fast Healthcare Interoperability Resources: specific specific RESTful API from specific specific SMART on FHIR OAuth 2.0 for specific specific EHR patient data access; specific specific 21st Century Cures Act: specific specific ONC HTI-2 Rule requiring specific specific certified EHR bulk FHIR export for specific specific data sharing; specific specific synthetic patient: specific specific Synthea open-source patient data generator for specific specific de-identified dataset for specific specific AI model training without specific specific patient data privacy risk).

What IP strategy should digital health startup founders use?

Digital health startup IP strategy must account for the FDA regulatory pathway as the primary barrier to market entry; the unique challenge that Mayo-Alice § 101 case law poses for software-implemented medical algorithms; and the interplay between data privacy law and proprietary patient dataset moats: DIGITAL HEALTH STARTUP IP STRATEGY: UNDERSTAND THE DIGITAL HEALTH IP LANDSCAPE: FDA REGULATORY PATH IS THE DOMINANT MOAT: most high-value digital health products require FDA clearance or authorization (510(k); De Novo; PMA; EUA) — the completion of a pivotal clinical trial and resulting FDA clearance is often a larger commercial barrier than any patent; invest in regulatory pathway early; GET PAYER COVERAGE SEPARATELY: CMS coverage and private payer reimbursement decisions create a 2-5 year commercial barrier independent of FDA clearance — CGM Medicare coverage; RPM CPT codes 99453-99457; DTx reimbursement still evolving; § 101 MAYO-ALICE RISK IS HIGH: diagnostic algorithms; risk prediction models; and data processing claims face elevated § 101 abstract idea risk — foundational Alice/Mayo case law emerged from software-implemented medical diagnostics; SPECIFIC SYSTEM CLAIMS SURVIVE BETTER: anchor claims to specific sensor hardware + specific ML model architecture + specific measured clinical outcome (AUC; sensitivity; specificity; NNT) in specific patient population; WHEN TO PATENT IN DIGITAL HEALTH: SPECIFIC NOVEL SENSOR DESIGN: specific novel electrode chemistry (specific GOx variant + specific specific membrane composition) or specific specific wearable form factor with specific measured accuracy MARD% + specific specific drift over specific specific wear duration vs. specific specific prior CGM; SPECIFIC NOVEL AI ALGORITHM WITH HARDWARE ANCHOR: specific novel neural network architecture for specific specific clinical task (specific specific specific CME ECG arrhythmia detection or specific specific specific pathology detection) with specific measured AUC + specific specific sensitivity/specificity at specific specific clinical threshold + specific specific false positive rate per specific specific validation cohort AND anchored to specific hardware (specific specific specific ECG patch; specific specific specific FPGA processor; specific specific specific mobile device); SPECIFIC NOVEL DTX THERAPEUTIC MECHANISM: specific novel JITAI intervention delivery mechanism (specific specific push notification + specific specific geofence + specific specific smartwatch haptic trigger) with specific measured engagement rate + specific specific clinical outcome (specific specific specific PHQ-9 score; specific specific specific AUC glucose) in specific specific specific RCT; TRADE SECRETS: ML model weights trained on proprietary patient dataset; specific specific proprietary patient dataset itself; specific specific data preprocessing pipeline; KEY FTO: Abbott FreeStyle Libre GOx electrode factory-calibration NFC 14-day; Dexcom G7 BLE real-time predictive alert ML; iRhythm Zio Patch 14-day ECG AI-analyzed AF+SVT+AV block; Apple Watch ECG irregular rhythm notification; Google Health LYNA CNN WSI cancer detection; Nuance DAX ambient clinical NLP SOAP note; Medtronic MiniMed 780G MPC closed-loop AID.

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Medical Device PatentsPrecision Medicine PatentsWearable Technology PatentsStartup IP Strategy