Medical Communication TRIZ Cases

Biometrics and prescription data guide automated unit-dose production for compliant, patient-specific medicine delivery.

Audio transcription and LLM prompts score medical provider interviews, reducing trainer bias while supporting culturally aware feedback.

A server evaluates follower-defined glucose thresholds and alerts remote devices when abnormalities are detected.

Embedded sensors, ECG leads, and consent workflows support accurate remote screening with personalized health data.

A host device analyzes transmitted test signals to characterize channel effects and compensate for noise in remote health monitoring audio.

An airflow sensor and wireless transceiver coordinate ventilation feedback with chest compressions during resuscitation.

This case generates channels around workflow entities, connecting stakeholders while reducing irrelevant corporate messages.

A collapsible U-shaped studio, color card, and electronics stand standardize smartphone skin images without clinic travel.

An intermediary layer aggregates EMR and PACS data for secure, searchable access at clinician workstations and mobile devices.

This AI tumor management system learns from federated clinical data while teams provide feedback during real-time care.

Periodic image capture transfers graphical medical device data to a server, enabling remote extraction without physical proximity.

Automated insulin dosing uses glucose times and patient data for tube-fed patients.

Voice prints and audio cues authenticate users and support prescription actions with faster, context-aware access.

The case predicts pharmacy wait times from prescription and dispensing status, then sends timely information when delays exceed a threshold.

Patient and physician devices collect treatment data to reduce visits while supporting timely immunotherapy dosage adjustments.

Wearables, patient feedback, and role-based coordination help therapists track compliance and emotional state in real time.

Rule-based and AI analysis matches medical data with qualified experts, improving routing accuracy and reducing diagnosis delays.

This case distributes AI across handheld, edge, and cloud layers to improve diagnostic accuracy while managing computation and power.

This telemedicine case combines AI symptom detection, provider matching, and facially synchronized virtual assistance for faster scheduling.

A neural-network treatment system links neurohumoral behaviors to health conditions and monitors adherence through sensor data.

Dual-entity portals, encrypted messaging, audit trails, and AI recommendations unify secure clinical trial collaboration.

This case uses specialized ML models and patient data to tailor treatment communications without simplifying medically appropriate plans.

Edge AI processing cuts bandwidth use while supporting adaptable remote device connectivity.

Adaptive cognitive training personalizes SUD interventions to improve impulse control and adherence.

This case combines stored user history, AI counseling, and wearable monitoring for personalized support across sessions.

A flexible remote communication device splits time-sensitive processing at the edge from complex cloud AI analysis.

Adaptive cognitive activities personalize SUD treatment and support impulse control.

Rest-state heartbeat screening flags arrhythmia probability before ECG confirmation.

A mobile app wirelessly retrieves an implanted device's UDI and displays specifications, maintenance guidance, and recall alerts.

The app combines encrypted sharing, biometric and multi-factor authentication, and GPS tools for private STD status verification.

A unified portable device combines otoscopic and general-examination cameras to stream ear and throat video for remote healthcare.

The information management module detects nearby healthcare devices and adapts emergency guidance for laypersons or medical professionals.

A virtual medical assistant interprets professional instructions, identifies medical tasks, and infers information to overcome impediments.

This case uses self-service, specialty-based group creation to coordinate patient information exchange across medical institutions.

Patients move from waiting pools to practitioner consultations, reducing administrative burden and confusion during virtual care.

This case routes SMS caregiver requests by device ID, avoiding time-intensive installation of dedicated call hardware.

A centralized platform coordinates virtual group care, scheduling, payments, and HIPAA-compliant patient records.

Standardized referral forms and live notifications coordinate healthcare transfers.

This case uses an AI assistant to detect unauthorized people and defer spoken health information in residential settings.

The mobile application bridges EMR systems and patients, simplifying care-team, schedule, and medical-history information.

A shared browser lets therapists and patients interact privately in digital therapy activities.

A trusted broker links changing DICOM studies across networks, enabling PHI access without VPN connections or exposed identifiers.

A server merges case files from multiple medical devices into an integrated patient encounter structure for immediate provider access.

Chatbot assessments capture health parameters and user responses, enabling dynamic training recommendations from large program libraries.

Interactive queries and feedback personalize missed-workout recommendations, improving exercise adherence to individual lifestyles.

This case correlates biomarker severity from patient data into graphical progress displays that help NICU caregivers understand maturation.

A mobile-linked platform shares treatment and skin data between clinics and care shops to coordinate follow-up and additional care.

This case combines finger-pad health sensing with MQTT messaging to improve elderly access and real-time remote caregiving.

A dashboard assigns access profiles, filters live streams, and lets agents modify permissions or stop transmission.

This case uses segmented display windows and biometric security to share relevant patient data with less network traffic.