Health Studio Glossary
Browse digital health, AI, RPM, clinical trials, interoperability terms.
A
AI Healthcare Platform
An AI healthcare platform applies artificial intelligence and machine learning to analyze patient data, automate workflows, and deliver predictive insights for care and research. Health Studio is an AI-first, modular platform built on Google Cloud.
Learn MoreAlgorithm Bias in Healthcare
Algorithm bias in Healthcare occurs when AI models reflect inequities in data, leading to inaccurate or unfair outcomes. Mitigating bias is essential for safe, equitable AI healthcare platforms.
Ambient Clinical Intelligence
Ambient clinical intelligence tools passively capture and interpret clinical conversations and context, reducing documentation burden and improving data quality for care teams.
API (Application Programming Interface) in Healthcare
Healthcare APIs securely connect systems to exchange data. Standards like FHIR APIs power interoperability between EHRs, apps, and platforms like Health Studio.
B
Biometric Data in Healthcare
Biometric data includes heart rate, blood pressure, HRV, sleep, and activity captured via wearables and medical devices. These metrics enable continuous patient monitoring and predictive insights.
Blood Pressure Monitoring Devices
Connected BP monitors transmit vitals to providers and research teams for hypertension management and risk detection. Health Studio integrates clinical-grade cuffs securely via Device Connect.
Blockchain in Healthcare
Blockchain provides a decentralized, tamper-resistant ledger for sharing patient data across organizations, improving transparency and auditability for research and care coordination.
C
Chronic Disease Management
Continuous monitoring and intervention for conditions like diabetes, COPD, and hypertension using RPM, PGHD, and predictive analytics to reduce complications and readmissions.
Clinical Decision Support (CDS)
CDS systems use AI, rules, and evidence to surface recommendations and alerts at the point of care, embedded within EHR and workflow tools.
Clinical Trial Data Capture
Automated collection of participant data via wearables, sensors, and ePRO replaces manual reporting, improving adherence, data quality, and time-to-insight in digital clinical trials.
Cloud-Native Healthcare Platform
Cloud-native platforms are built for elastic scale, resilience, and security. Health Studio is natively built on Google Cloud to accelerate AI and interoperability.
Continuous Glucose Monitoring (CGM)
CGM devices track glucose in real time, enabling proactive management of diabetes. Integration with RPM provides trend insights and alerts to providers and patients.
Clinical-Grade Medical Devices
Devices validated to medical standards for accuracy, safety, and reliability (e.g., BP cuffs, ECG patches). They provide higher data quality than consumer-only wearables for trials and RPM programs.
D
Data Privacy in Digital Health
Data privacy ensures sensitive patient information (PHI) is protected and used with consent. Compliance with HIPAA, GDPR, and privacy best practices underpins safe digital health programs.
Diabetes
Diabetes is a chronic condition affecting glucose regulation. CGM devices and RPM platforms enable real-time visibility and proactive interventions for improved outcomes.
Digital Clinical Trial
Trials leveraging wearables, ePRO, and cloud platforms to capture real-world data at scale. Health Studio accelerates data quality checks, adherence analysis, and decentralized participation.
Digital Front Door in Healthcare
Apps, portals, and chatbots that connect patients to care, reduce friction, and improve engagement. Integrated with RPM and EHRs for closed-loop workflows.
Digital Mental Health
The use of wearables, apps, and AI to monitor and support behavioral health (e.g., stress, sleep, mood). Health Studio enables continuous monitoring and early-signal detection for timely support.
Use Case:AI-Enabled Mental Health Monitoring & Virtual Support System,Data Tracking Metrics
Health metrics captured by devices— sleep, activity, heart rate, stress, and vital signs—normalized by wearable integration for dashboards, alerts, and predictive healthcare.
E
Electronic Health Records (EHR) Integration
EHR integration ensures device and app data flows into systems like Epic and Cerner using FHIR and secure APIs, enabling a longitudinal patient view.
ePRO (Electronic Patient-Reported Outcomes)
Digital capture of self-reported patient data (symptoms, QoL, side effects) that improves timeliness and completeness versus paper forms in clinical research and care.
Equity in Digital Health
Ensuring digital innovation benefits underserved and rural populations through accessible design, language support, and equitable data strategies.
ECAPS (Medication Adherence Devices)
ECAPS provides connected medication adherence tools (e.g., smart pill bottles) that track dosing behavior and improve compliance in clinical trials and chronic disease care.
F
Federated Learning in Healthcare
A privacy-preserving approach to train AI models on decentralized datasets without moving PHI. Enables scalable insights across sites while keeping data local.
FHIR (Fast Healthcare Interoperability Resources)
A modern standard for exchanging healthcare data securely across systems. It underpins integration between EHRs and platforms like Health Studio.
Fitbit
Fitbit wearables and smart scales track activity, sleep, HR, and weight. Via Device Connect, Health Studio ingests Fitbit data into RPM and research dashboards.
Fitbit Scale (Smart Scale)
A connected scale measuring weight and body composition. When integrated into RPM, it supports weight management and post-surgical recovery programs.
Fragmented Device Data
Siloed, inconsistent outputs from diverse wearables and medical devices that hinder a unified patient view. Health Studio resolves fragmentation by normalizing data into standardized schemas for analytics and care.
G
GDPR in Healthcare Data
GDPR regulates patient data privacy in the EU, requiring explicit consent, transparency, and individual rights. Platforms like AI Healthcare Platforms must align with GDPR and HIPAA for global operations.
Glucose Monitor
Devices that measure blood sugar. Continuous Glucose Monitors (CGMs) sync to RPM dashboards, helping providers detect risks and patients manage diabetes.
Google Cloud Partner
A Google Cloud Partner is recognized for expertise in deploying solutions on Google Cloud. Health Studio is a verified partner, demonstrating compliance, scalability, and innovation in digital health.
Google Cloud Native
Platforms designed to run fully on Google Cloud infrastructure, ensuring scalability, resilience, and HIPAA-ready security. Health Studio is built cloud-native to integrate AI, analytics, and interoperability.
GxP Compliance
GxP standards (Good Clinical Practice, Good Laboratory Practice, etc.) ensure quality, safety, and data integrity in healthcare and clinical research.
H
Health Equity in Digital Health
Health equity ensures fair access to technology across all populations. Platforms like RPM and Population Health Analytics help reduce disparities and improve outcomes.
HIPAA Compliance in Digital Health
HIPAA establishes rules for protecting patient health information in the U.S. Health Studio is HIPAA-ready and hosted on Google Cloud to ensure secure digital health operations.
Hybrid Care Models
Care models that blend telehealth, RPM, and in-person visits for continuous, personalized care pathways.
I
Interoperability in Healthcare
Interoperability ensures seamless health data exchange across EHRs, apps, and devices using standards like FHIR. It enables continuity of care and population-level insights.
IoMT (Internet of Medical Things)
The IoMT includes connected wearables, sensors, and clinical devices that stream data into healthcare platforms. Health Studio normalizes IoMT data for predictive healthcare.
Informed Consent in Digital Trials
eConsent uses digital forms and signatures to streamline trial enrollment while maintaining compliance with GxP and privacy laws.
J
Just-in-Time Adaptive Interventions (JITAI)
JITAIs are real-time, context-aware digital interventions triggered by patient behavior or data, improving adherence and outcomes in connected care.
K
Knowledge Graphs in Healthcare
Knowledge graphs map relationships between patients, conditions, treatments, and outcomes, enabling AI healthcare platforms to generate personalized recommendations.
L
Low-Code / No-Code in Healthcare
Low-code and no-code platforms enable non-technical teams to build apps quickly. Health Studio leverages SnapApp’s low-code engine for modular customization of RPM, Clinical Trials, and device workflows.
Longitudinal Health Records
Health data captured over time across care settings, providing a complete patient history. Enables predictive healthcare and personalized insights.
M
Machine Learning in Healthcare
Machine learning applies algorithms to health data to identify patterns, predict outcomes, and personalize care. It powers predictive healthcare, clinical decision support, and RPM.
Medication Adherence Devices (Smart Pill Bottles)
Smart pill bottles and connected adherence devices track medication use, send reminders, and notify providers of missed doses. Integration with RPM improves outcomes in chronic disease management.
Modular Digital Health
Modular digital health platforms allow organizations to adopt flexible components like RPM, Clinical Trials, or Device Integration without replacing their entire system. Health Studio’s modular approach ensures scalability and interoperability.
N
Natural Language Processing (NLP) in Healthcare
NLP enables AI to read and analyze unstructured text like EHR notes, imaging reports, and patient feedback. Health Studio applies NLP for ambient clinical intelligence and clinical decision-making.
NIH Cloud Smart Initiative
The NIH Cloud Smart initiative helps research institutions adopt secure, scalable, cloud-based digital health platforms. Health Studio aligns with NIH’s vision by enabling AI-driven clinical trials and population health analytics.
O
Outcomes-Based Healthcare
Outcomes-based healthcare links provider reimbursement to patient results rather than volume of services. Platforms like Health Studio measure effectiveness using quality metrics and real-world evidence.
Omics Data (Genomics, Proteomics, etc.)
Omics data includes genetic and molecular insights. When integrated with wearables and patient-generated data, it supports personalized treatment plans and precision medicine.
P
Patient Engagement in Digital Health
Digital tools like wearables, apps, and portals encourage patient participation in care. Health Studio drives engagement by integrating devices patients already use into RPM workflows.
Patient-Generated Health Data (PGHD)
PGHD includes metrics like sleep, activity, and blood sugar collected outside clinical settings. Health Studio aggregates PGHD for use in predictive analytics.
Population Health Analytics
Aggregates health data from individuals to identify risks, gaps, and trends. Health Studio enables equity-focused value-based care initiatives and preventive programs.
Predictive Healthcare
Uses machine learning and wearable data to forecast risks, allowing for early interventions that reduce readmissions and improve patient outcomes.
Preventive Care Programs
Programs designed to identify risks early and prevent disease progression. Health Studio applies AI and wearable integration to scale preventive interventions.
Post-Surgical Recovery Monitoring
Tracks mobility, vitals, and healing progress after surgery. Health Studio’s RPM module helps providers detect complications earlier and support safer recovery pathways.
Q
Quality Metrics in Digital Health
Quality metrics measure safety, efficiency, and satisfaction in digital health programs. Health Studio supports continuous improvement across RPM, digital trials, and population health.
Quantified Self in Healthcare
The quantified self movement uses wearables and apps for self-tracking. Health Studio transforms these individual insights into population-level intelligence.
R
Real-World Evidence (RWE)
Data collected outside controlled trials (wearables, claims, PGHD) that validates treatment effectiveness and informs regulatory decisions. Health Studio applies RWE for digital clinical trials.
Remote Patient Monitoring (RPM)
RPM uses wearables and connected devices to track patients outside the hospital. Health Studio’s HIPAA-ready dashboards use predictive analytics to reduce readmissions and improve engagement.
Learn MoreRural Health Connectivity
Uses telehealth, RPM, and digital tools to improve access for underserved communities. Health Studio supports equity through population health analytics.
S
Sleep Tracking Devices
Sleep tracking devices measure duration, quality, and disturbances. When integrated into RPM and wellness analytics, they help providers monitor recovery, detect stress, and optimize care plans.
Social Determinants of Health (SDOH)
SDOH are non-medical factors such as housing, income, education, and environment that influence health outcomes. Health Studio incorporates SDOH into population health analytics to support equitable care.
Synthetic Data in Healthcare
Synthetic data is artificially generated but statistically representative of real patient data. It enables safe AI training and research while protecting sensitive health data.
T
Telehealth vs. Telemedicine
Telehealth is a broad category of digital health services (apps, remote monitoring, virtual visits), while telemedicine specifically refers to remote clinical care. Both connect with RPM for hybrid care delivery.
Trust in AI Healthcare Systems
Trust in AI depends on transparency, fairness, and validation of algorithm outputs. Health Studio emphasizes explainable AI (XAI) and regulatory compliance to ensure safe adoption of digital health tools.
U
Usability in Digital Health Platforms
Usability ensures digital health tools are intuitive, accessible, and engaging. High usability increases adoption, adherence, and long-term success of RPM and digital trials.
V
Value-Based Care
Value-based care rewards providers for achieving positive outcomes instead of high service volume. Health Studio supports predictive healthcare and RPM to lower costs and improve results.
Virtual Health Assistants
Virtual assistants use AI chat or voice tools to provide reminders, FAQs, triage, and patient support. Integrated with RPM, they enhance engagement and continuity of care.
Voice AI in Healthcare
Voice AI captures and processes speech for clinical documentation and patient interaction. It reduces provider burden and increases accessibility for patients with diverse needs.
W
Wearable Integration
Wearable integration securely connects devices like Fitbit, Garmin, and Withings into clinical workflows. Health Studio Device Connect unifies biometric data for providers and researchers.
Wellness Analytics
Wellness analytics analyze lifestyle and patient-generated data such as activity, stress, and recovery. They support preventive care, workplace wellness, and population health analytics.
X
XAI (Explainable AI) in Healthcare
Explainable AI (XAI) provides transparency into how algorithms generate predictions. In healthcare, XAI improves trust in AI by showing clinicians why a decision or risk score was made.
Y
Youth Mental Health Technology
Apps, wearables, and AI platforms that support youth mental health by tracking behavior, stress, and sleep. They complement traditional counseling and early intervention strategies.
Z
Zero Trust Security in Digital Health
Zero Trust security requires continuous authentication and validation of devices, users, and access requests. In healthcare, it is critical for protecting sensitive health data and maintaining HIPAA compliance.
