Health Studio Glossary
Browse digital health, AI, RPM, clinical trials, interoperability terms.
A
AI Healthcare Platform
An AI healthcare platform uses artificial intelligence to process health data, automate workflows, and deliver predictive insights. Health Studio is an AI‑first, modular platform built on Google Cloud for hospitals, researchers, and health systems.
Algorithm Bias in Healthcare
Algorithm bias occurs when AI models reflect inequities in datasets, leading to inaccurate or unfair outcomes in care. Addressing bias is critical to building safe, equitable AI-powered healthcare.
Ambient Clinical Intelligence
Ambient clinical intelligence tools passively capture and interpret clinical interactions, reducing administrative burden and improving documentation accuracy.
API (Application Programming Interface) in Healthcare
Healthcare APIs allow systems and applications to securely exchange health data. Standards like FHIR APIs power interoperability between EHRs, apps, and platforms like Health Studio.
B
Biometric Data in Healthcare
Biometric data includes measurable biological signals such as heart rate, blood pressure, and sleep cycles. Collected through wearables, these metrics help providers monitor patients in real time.
Blood Pressure Monitoring Devices
Connected BP monitors transmit vitals directly to providers, improving chronic condition monitoring. Health Studio supports integration of these devices securely via Device Connect.
Blockchain in Healthcare
Blockchain in healthcare offers a decentralized, tamper-resistant method for storing and sharing patient data. It can enhance transparency, trust, and cross-organization interoperability.
C
Chronic Disease Management
Chronic disease management uses digital tools to monitor conditions like diabetes, COPD, and hypertension. RPM platforms like Health Studio support continuous monitoring and early detection.
Clinical Decision Support (CDS)
CDS systems use AI and data-driven rules to help clinicians make better decisions at the point of care. They integrate into EHRs and digital health platforms.
Clinical Trial Data Capture
Automated data capture from devices and apps replaces manual reporting in trials. It improves accuracy, adherence, and efficiency.
Cloud-Native Healthcare Platform
Cloud-native platforms are built for scalability, flexibility, and compliance. Health Studio is natively built on Google Cloud.
Continuous Glucose Monitoring (CGM)
CGM devices track glucose continuously, helping patients and providers manage diabetes. Integration into RPM platforms improves outcomes.
D
Data Privacy in Digital Health
Data privacy in digital health ensures sensitive patient data is encrypted and accessible only with consent. Compliance with HIPAA, GDPR, and privacy best practices is foundational.
Digital Clinical Trial
Digital clinical trials leverage wearables, ePROs, and AI analytics to capture real-world evidence efficiently. Health Studio’s Clinical Trials solution improves data quality and adherence.
Digital Front Door in Healthcare
The digital front door refers to online tools like apps, portals, and chatbots that connect patients to care. Integrated with Health Studio, it streamlines access and engagement.
Digital Mental Health
Digital mental health uses wearables, apps, and AI to track and support behavioral health. Health Studio provides continuous monitoring to help detect stress and sleep disruptions.
E
Electronic Health Records (EHR) Integration
EHR integration ensures patient data from wearables, sensors, and apps flows into hospital systems like Epic or Cerner. Health Studio supports interoperability with FHIR standards.
Learn more →ePRO (Electronic Patient‑Reported Outcomes)
ePRO systems collect self-reported patient data digitally, ensuring cleaner, more timely input in clinical research. They replace paper forms and improve data quality.
Equity in Digital Health
Equity ensures digital health innovation benefits underserved populations, not just urban or affluent groups. Efforts focus on access, inclusivity, and fairness.
F
Federated Learning in Healthcare
Federated learning allows AI models to be trained on decentralized datasets without transferring sensitive health data. This enables large-scale insights while preserving privacy.
FHIR (Fast Healthcare Interoperability Resources)
FHIR is a healthcare standard for data exchange across systems. It is the backbone of interoperability between Health Studio and EHRs.
G
GDPR in Healthcare Data
GDPR regulates health data privacy in the EU, requiring strict consent, transparency, and individual rights. Platforms must align with GDPR and HIPAA to operate globally.
GxP Compliance
GxP includes Good Clinical Practice (GCP) and similar regulatory standards that ensure data integrity and quality in healthcare and research environments.
H
Health Equity in Digital Health
Health equity means ensuring fair access to care and technology for all populations. Digital health tools like wearables aim to reduce disparities and expand reach.
HIPAA Compliance in Digital Health
HIPAA compliance ensures patient data privacy and that sensitive health information is handled securely. Health Studio is built to be HIPAA-ready on Google Cloud.
Hybrid Care Models
Hybrid care blends telehealth, RPM, and in‑person visits to offer flexible, continuous care. These models support personalized care pathways.
I
Interoperability in Healthcare
Interoperability ensures health data moves seamlessly across systems and organizations. Standards like HL7 & FHIR power this capability.
IoMT (Internet of Medical Things)
IoMT is the network of connected medical devices — wearables, sensors, and health gadgets — transmitting data into health systems.
Informed Consent in Digital Trials
Digital informed consent (eConsent) uses electronic forms and mechanisms to capture participant permissions in trials, streamlining onboarding and compliance.
J
Just‑in‑Time Adaptive Interventions (JITAI)
JITAIs deliver real-time, context-aware digital health interventions based on patient data and behavior to support health outcomes.
K
Knowledge Graphs in Healthcare
Knowledge graphs map relationships between patients, conditions, and treatments, enabling AI platforms to surface complex insights and personalized recommendations.
L
Low‑Code / No‑Code in Healthcare
Low-code and no-code frameworks let health organizations build digital apps without extensive engineering. Health Studio uses SnapApp’s low-code core for customization.
Longitudinal Health Records
Longitudinal records trace patient health data across time and settings, giving a holistic view. They enable predictive modeling and continuity of care.
M
Modular Digital Health
Modular platforms allow organizations to adopt digital health components flexibly, without full rebuild. Health Studio’s modular design scales across Device Connect, RPM, and Clinical Trials.
Medication Adherence Devices (Smart Pill Bottles)
Smart pill bottles track medication usage, send reminders to patients, and alert providers when doses are missed to support adherence.
Machine Learning in Healthcare
Machine learning applies algorithmic models to health data to uncover patterns and predictions (e.g. risk of readmission). It underpins many AI-driven healthcare insights.
N
Natural Language Processing (NLP) in Healthcare
NLP enables AI to read, parse, and interpret unstructured clinical notes, reports, and text. It drives automation, insights, and decision support in health systems.
NIH Cloud Smart Initiative
The NIH Cloud Smart program supports research institutions in leveraging cloud infrastructures securely and scalably for digital health and data science.
Learn more →O
Outcomes‑Based Healthcare
Outcomes-based health models tie reimbursement and evaluation to patient results rather than services. Health Studio supports tracking and validation of outcomes using real-world data.
Omics Data (Genomics, Proteomics, etc.)
Omics data includes genomic, proteomic, metabolomic information. When integrated with clinical and wearable data, it enables precision medicine insights.
P
Patient Engagement in Digital Health
Patient engagement tools use apps, wearables, and portals to increase involvement in care. Health Studio leverages devices patients already use to drive adherence and outcomes.
Learn more →Patient‑Generated Health Data (PGHD)
PGHD is data collected outside clinical settings (e.g. wearables, mobile apps). Health Studio securely integrates PGHD into research and care workflows.
Population Health Analytics
Population health analytics aggregates data across groups to identify trends, gaps, and opportunities for interventions. Health Studio supports equity-focused insights across communities.
Predictive Healthcare
Predictive healthcare uses AI and wearable data to forecast risks and enable early interventions. Health Studio applies predictive analytics to reduce readmissions and improve outcomes.
Preventive Care Programs
Preventive care aims to identify and mitigate risks before conditions develop. Wearables and AI help programs scale early detection and intervention strategies.
Post‑Surgical Recovery Monitoring
Post-surgical recovery monitoring uses devices to track mobility, vitals, and healing trends. Health Studio enables earlier detection of issues and supports safer recovery.
Q
Quality Metrics in Digital Health
Quality metrics measure effectiveness, safety, and satisfaction in digital health programs. They guide improvement and accountability for solutions.
Quantified Self in Healthcare
Quantified Self refers to self-monitoring using wearables and apps. Health platforms transform personal data into meaningful health insights and trends.
R
Real‑World Evidence (RWE)
RWE is data collected outside controlled trials (e.g. wearables, claims data). It helps validate treatments and scale healthcare solutions.
Remote Patient Monitoring (RPM)
RPM uses connected devices to monitor patients beyond clinical settings. Health Studio’s RPM integrates sensor and wearable data into HIPAA-ready dashboards and predictive analytics.
Learn more →Rural Health Connectivity
Rural connectivity uses digital tools and networks to extend healthcare into underserved regions. RPM and telehealth help narrow access gaps.
S
Sleep Tracking Devices
Sleep trackers measure duration, quality, and disturbances. Integrated with Health Studio, they support wellness analytics and stress detection.
Social Determinants of Health (SDOH)
SDOH are non-medical factors like income, education, and housing that influence health. Platforms incorporating SDOH can drive more equitable care.
Synthetic Data in Healthcare
Synthetic data mimics real patient data while preserving privacy, enabling safe AI model development without exposing sensitive records.
T
Telehealth vs. Telemedicine
Telehealth is a broad category of digital health services; telemedicine refers specifically to remote clinical care. Both integrate with RPM to enhance care reach.
Trust in AI Healthcare Systems
Trust in AI is built through transparency, fairness, and validation. Users need insight into algorithm decisions for safe adoption.
U
Usability in Digital Health Platforms
Usability ensures digital tools are intuitive, accessible, and effective. High usability drives adoption, satisfaction, and sustained engagement.
V
Value‑Based Care
Value-based care rewards providers for delivering better outcomes rather than higher volume. Health Studio supports these models via data-driven RPM and predictive insights.
Virtual Health Assistants
Virtual health assistants use chat or voice AI to support patients with reminders, education, and triage. Integrated with RPM, they enhance engagement and continuity.
Voice AI in Healthcare
Voice AI captures and interprets speech for documentation or patient interactions. It reduces provider burden and improves accessibility.
W
Wearable Integration
Wearable integration securely connects consumer and medical devices to clinical workflows. Health Studio Device Connect powers this capability.
Wellness Analytics
Wellness analytics use wearable and lifestyle data to track activity, stress, and recovery. They support preventive strategies and population health insights.
X
XAI (Explainable AI) in Healthcare
XAI provides transparency into how algorithmic decisions are made. In healthcare, it helps clinicians trust AI predictions and understand “why.”
Y
Youth Mental Health Technology
Digital tools like apps and wearables support youth mental health by tracking stress, sleep, and behaviors. They complement traditional counseling and therapy.
Z
Zero Trust Security in Digital Health
Zero Trust is a security model that requires continuous verification of devices, users, and access. It’s critical for protecting data in connected healthcare systems.
