About mindLAMP

mindLAMP is a customizable smartphone app designed and developed by our team to support research in mental health. mindLAMP is designed to collect information and record lived experience through surveys, cognitive tests and games, Apple HealthKit and Google Fit monitoring, and phone sensors. The data collected offers patients and clinicians insight into behavioral and physiological patterns that may help inform future diagnoses and treatments for mental illness.

The LAMP Platform is design to ingest a number of data sources and after harmonization and processing of data, will allow clinicians and patients to analyze it in different ways. With third party integration support, connecting to EHRs or other data sources is easy as well, and using the intuitive Automations framework, clinicians can create workflows that intelligently react to changes in measurements on a moment to moment, daily, weekly, or even monthly time scale, by running new analyses or triggering clinical decision support (CDS) tools.
At its core, the LAMP Platform is designed with a hierarchical (“document”) view in mind, as shown below. Clinics are managed by Clinicians and track data for a number of Patients. Data can vary from smartphone sensors to external instruments such as blood pressure monitors, to survey instruments asking about daily mood and anxiety. The information is organized in a clean, efficient, and easy to use structure that can be readily understood and applied by all.
When used in a clinic, the unique care model supported by the LAMP Platform facilitates a feedback loop of protected data being entered by patients and clinicians to useful charts, reports, alerts, and visualizations that allow patients and the care team to build effective treatment plans together.


Clinical Assessments & EMA

  • Intuitively capture patient or participant data from in-clinic assessments.
  • Configure content delivery frequency and track out-of-clinic symptoms in real-time with customizable assessments.
  • Use modified neuropsychological and cognitive tests to create an always-adapting cognitive profile.
  • Play mindfulness games to help manage and alleviate symptoms.

Actionable Digital Phenotyping

  • Integrate with Apple HealthKit and Google Fit on dozens of affordable wearables to measure everyday physical activity.
  • Create intelligent workflows to pinpoint and react to anomalies and trends in data.
  • Associate environmental and social context with each out-of-clinic assessment for a comprehensive patient profile.
  • Cognitive metadata stitches together with assessments and passive measurements of physical activity effortlessly.

Dashboard Visualizations & Messaging

  • Generate reports with interactive visualizations and track progress using the patient or participant dashboard.
  • Talk to your clinician about your health in real-time using specialized healthcare team management views for you and your family.
  • Create your own interactive visualizations in Python, Javascript, or R for your patients or participants to see.

Structured Data & API

  • Export all data in either modern JSON or Excel-compatible CSV.
  • Use the new programmable data science API to manipulate patient events and activities in real-time.
  • Build and integrate with third-party systems, such as electronic medical records, or wearable fitness trackers.
  • Harness the power of the Automations framework for reactive multi-dimensional data processing.
  • Create custom activities such as interactive cognitive tests for your unique study needs.

Intelligent Automations & Tags

  • Automation applets in the LAMP Platform work just like smartphone apps you may have used before, except once you install an applet, it autonomously works in the background with no configuration required.
  • Automation applets breathe life into your data by intelligently producing rich insights, visualizations, and integrations with external clinical systems, medical records, or data warehouses.
  • Tags bring flexibility to data, allowing it to evolve to fit the needs of a clinic, or to support legacy health record systems, in a non-destructive way.

Reactive Data Pipelines

  • Instead of downloading and processing data in an insecure environment, applets are composed of predefined operations atop your data that runs in a HIPAA-secure sandbox, reducing data management risk and optimizing analysis speeds.
  • Each applet can reactively perform an individual function, such as sending a text message reminder or generating a data plot, in response to data flowing through the Platform.
  • Applets can work together to create unique automated workflows, such as self-managing research studies, clinical interventions, adaptive machine learning population models, and more.

Activities & Sensors

The LAMP Platform supports many survey instruments, cognitive tests, and other activities.
Click to view Activity gallery.

Relevant Publications

Learn more about the research powered by the LAMP Platform.


With generous funding from the Natalia Mental Health Foundation and the BIDMC HTEC Initiative.

National Institute of Mental Health and Neurosciences

Various teams at the National Institute of Mental Health and Neurosciences are using LAMP to advance mental health research and care. Projects including using LAMP to monitor, personalize, and predict treatment response to non-invasive brain stimulation techniques like TMS. Other projects including using LAMP to support patients with substance abuse disorder. Future projects will involve use of LAMP to help predict relapse in serious mental illness.

Boston University

The objective of our research using the mindLAMP app is to understand how one’s internal and contextual experience shapes cognitive function from moment to moment. Our current work involves smartphone assessment of cognition and context in young adults as well as individuals with Parkinson’s disease. Our hope is through digital phenotyping we can determine how patterns of fluctuation can help improve clinical diagnosis and point us towards personalized and precision interventions.

California State University Northridge

In our Social Psychology in Everyday Life Lab at CSU Northridge, we used mindLAMP to augment our data collection for longitudinal studies of smartphone-related cognition and behavior. We programmed mindLAMP to deliver regular ecological momentary assessment measures, including brief surveys capturing the intentionality/automaticity of the user's prior smartphone usage and their current mood, life satisfaction, and context. We also attempted to capture some basic cognitive constructs using mindLAMP’s built-in attention and memory assessment games, like the n-back test. Our intention is to assess whether higher levels of automaticity (mindless, impulsive use) during the prior phone usage predict lower levels of present-moment mood. We’d also like to assess the influence of context, such the user’s location, the presence of others, and the duration and content of their smartphone uses on automaticity and well-being. Ultimately, we hope this research helps us better understand the relationship between smartphone users and their devices and assess whether well-being can be enhanced by implementing interventions for more intentional use.

Shanghai Mental Health

Shanghai Mental Health leveraged LAMP’s open-source platform to create BrainSmart. BrainSmart is an app with similar capabilities as LAMP, including customizable games and surveys that can be used to engage patients. Shanghai Mental Health used BrainSmart in a study that investigated whether interactive technology is feasible way to enhance cognitive function of patients at clinical risk for psychosis. The prevalence of smartphones, paired with high reports of regular app use, suggest that engaging technology may be an avenue for building on cognitive capabilities.

University of Ottawa

Our study investigates the validity of mindLAMP, a smartphone application for both Apple and Android phones, in assessing cognition in individuals with a mental illness. While preliminary, our findings suggest that mindLAMP can be used to assess cognitive impairments in individuals with a mental illness. As a novel tool, mindLAMP has the potential to enable dynamic, scalable, and longitudinal assessment of cognition in research and clinical setting.

BIDMC Anaesthesiology

The goal of the study is to help to understand the different anesthetic options available prior to surgery, increase patient engagement and encourage shared decision making with their surgical team... Our MAC Decision Aid research is being conducted using a smartphone app  LAMP platform, created by a multidisciplinary team at Beth Israel Deaconess Medical Center for research without commercial involvement. Subjects who consented for the study are taught how to download and use the app. They are asked to complete pre-survey, read about monitored anesthesia care and then complete post-survey. Preliminary data (10 patients of 100) demonstrates that an electronic based educational and assessment system is feasible.

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