ResearchKit App datacards
Page Title
Release Date
Sponsor I
Sponsor II
Sponsor III
Image Link
6th Vital Sign7/5/2016Duke MedicineiTunes LinkThe 6th Vital Sign is a national research study that aims to create a new marker of health. Powered by Apple’s Researchkit we use a short walking test and questions about health to create a vital sign related to how people move.Project Page
America Walks2/1/2015TrialXiTunes LinkAmerica Walks is an observational study to determine walking behavior of individuals in the United States. Join to find out how much you are walking compared to other AmericansProject Page
Asthma Health3/1/2015Mount Sinai HospitalCornell WeillLifeMap SolutionsiTunes LinkAsthmaHealth is a comprehensive tracking and disease management app. Through that app, investigators are building a large cohort of patients with asthma who are contributing self reported data like symptom, medication usage, emergency department and medical visits, and exposures to potential triggers. The app is also pulling in physiologic data through HealthKit such as peak flow, step count, sleep data, and inhaler usage. Finally, the app is incorporating location data to track factors like air quality and environmental allergens. Patients will be able to use the app to track their medications and review symptom trends in relationship to potential triggers to better understand their condition.Project Page
Autism & Beyond10/1/2015Duke MedicineiTunes LinkUses the iPhone’s front-facing camera to detect emotions in a child’s face when they watch videos on the phone. This technology may one day be used to screen young children in their homes for autism and mental health challenges, such as anxiety or tantrums.Project Page
Biogram 210/1/2015USC Center for Body ComputingiTunes LinkThe app aims to study how the integration of biometric data with social media could affect how we connect with each other. The goal of the study is to understand how public sharing of health data influences relationships and interactions people experience through these digital platforms. Biogram 2 lets participants to embed biometric data, starting with heart rate, into images that they share on social media platforms like Instragram, Twitter, and Facebook. Researchers will collect biometric data including heart rate, weight, and step count through HealthKit.Project Page
C Tracker10/1/2015Boston Children's HospitaliTunes LinkThe study aims to understand how hepatitis C and the new, potentially curative therapies being prescribed, affect the lives of patients. Adults with hepatitis C can contribute by answering brief wellness surveys every two weeks and more detailed surveys every 4 months. Motion data will also be collected to try to gain insights into activity levels and sleep patterns.Project Page
Concussion Tracker12/1/2015NYU LangoneiTunes LinkThe main objective of this exploratory study is to collect information using new technology to obtain patient-reported outcomes, to record heart rate, and to record information about physical and cognitive function for six weeks after subjects have been diagnosed with a concussion, as well as to test the feasibility of our approach. Participants will complete three daily tasks: a five-question survey that captures symptoms, including balance issues, blurred vision, and drowsiness; a six-minute walk test; and tasks to measure concentration.Project Page
COPD Navigator12/1/2015Mount Sinai HospitalLifeMap SolutionsiTunes LinkThe app aims to help patients experience less COPD-related distress with better symptom control and fewer unexpected medical visits. Users can track symptoms and medications, share that data with their care team, and learn about COPD with curated educational material in the app.Project Page
DAM212/1/2015iTunes LinkDAM is an application for research on multiple sclerosis. It can collect data through a series of eponymous test, all under the control of doctors and hospital researchers.Project Page
EpiWatch10/1/2015Johns HopkinsiTunes LinkJohns Hopkins EpiWatch™ is an app for Apple Watch™ and research study. EpiWatch helps you manage your epilepsy by tracking your seizures and possible triggers, medications and side effects. You can view this information at any time, and a dashboard lets you share a summary of the data with your doctor or caregiver if you want. With EpiWatch, you can also send a message to family members or caregivers to let them know when you are tracking a seizure.Project Page
Feverprints4/1/2016Boston Children's HospitaliTunes LinkBetter understandings of how body temperature varies between individuals and identification of disease fever patterns (“feverprints”) could allow doctors to make faster, more accurate diagnoses.Project Page
GlucoSuccess3/1/2015Massachusetts General HospitaliTunes LinkGlucoSuccess is evaluating the relationship between health behaviors and blood glucose control in adults with type 2 diabetes. It provides resources for participants to manage their type II diabetes while simultaneously collecting data through surveys as well as phone-based sensors. Participants provide information in surveys delivered through the app and also enter their blood glucose data. They are also asked to use LoseIt to track their diets; GlucoSuccess then pulls information on carbohydrates, calories, and sugar intake through HealthKit. Finally, it also collects information on activity using the iPhone’s accelerometer.
Hand in Hand10/1/2015University of Nebraska Medical CenteriTunes LinkHAND in Hand allows you to be part of a medical research study focused on HIV Associated Neurocognitive Disorders (HAND). HAND occurs when HIV enters your nervous system adversely affecting your nerves.Project Page
Heart and Brain11/1/2015Keio UniversityiTunes LinkThe study aims to use health data for the early detection of arrhythmia and cerebral infarction. The app will collect data through survey questions about users’ risk of cerebral infarction and quality of life.The app also prompts users to perform a motor assessment test, which may be helpful in detecting cerebral infarction, and provide data collected by the sensors in the iPhone and Apple Watch.
MDacneiTunes LinkMDacne was built with a world renown Dermatologists with a passion for Acne treatment. Using image analysis and AI, MDacne analyses Acne prone skin and provides real time information about the Acne type and severity together with a custom personal Acne treatment plan.Project Page
Mind Share5/13/2015
MoleMapper10/1/2015Oregon Health & Science UniversityiTunes LinkMole Mapper is a personalized tool to help you map, measure, and monitor the moles on your skin. Using a familiar Maps-like interface, you can measure the size of a mole using the camera and a common reference object like a coin.Project Page
mPower3/1/2015Sage BionetworksiTunes LinkThe mPower: mobile Parkinson Disease study is using a combination of phone-based sensors and surveys to collect data on patients with Parkinson’s disease in an effort to better characterize disease phenotypes and improve disease monitoring in the hopes of leveraging that information to improve outcomes. Participants will provide information on their history and symptoms through surveys and questionnaires. They will also be guided through a variety of tasks to try to objectively measure symptoms like performing walking tests, activities that involving tapping on the screen, or recording themselves saying specific phrases. A component of the study will also involve trying to use app-based strategies to promote physical activity in these patients and look for changes (hopefully improvements) in their symptoms.Project Page
mTech12/1/2015University of the PacificiTunes LinkResearchers hope to describe the effects of energy drinks on different vital signs and health markers — such as blood pressure, heart rate, activity level, and sleep. As well as study the long term health effects of energy drink intake. The app will ask participants’ permission to their health data on their Apple Health app. Survey questions will be based on the amount of energy drink usage.
MyHeart Counts3/1/2015Stanford MedicineiTunes LinkMyHeart Counts is looking at the relationship between behavioral factors, like fitness, and cardiovascular disease risk. Participants provide data periodically through surveys delivered to their iPhones as well as data on their blood pressure, cholesterol levels, physical activity using either the phone’s accelerometer or HealthKit-enabled wearables, and fitness through a six-minute walk test. They are given information on their cardiovascular disease risk including a “heart age” as well as educational material on how to reduce their risk. They also plan to test different strategies to improve physical activity and fitness.Project Page
Neurons4/1/2016iTunes Link
PPD Act4/1/2016UNC Chapel HilliTunes Link
Pride Study6/1/2015UCSFiTunes LinkThe study is recruiting a national cohort of LGBTQ patients and will follow them longitudinally to try to better understand the unique health needs and outcomes of this population. Participants will get a baseline health questionnaire followed by surveys delivered annually. Subsets of enrolled patients will also be asked to complete surveys on specific health topics. Researchers will also collect health data through HealthKit.Project Page
Saker3/1/2016Saker.ioSaker is a project to try and detect when a person is scared by analysing their gait, using the sensors available on your smartphone. The study investigates how a person’s gait changes as they walk, and attempts to identify patterns that characterize when an individual is scared or apprehensive. Saker allows you to share fitness data with researchers.Project Page
Share the Journey Breast Cancer App3/1/2015Sage BionetworksRWJFiTunes LinkThe Share the Journey app will ask you to answer questions about yourself, your medical history, and current health. The app may ask you to perform specific tasks while using your mobile phone, such as to provide a journal about your week with symptoms.Project Page
Sleeptember3/1/2016UCSDAmerican Sleep Apnea AssociationiTunes LinkProject Page
StopCOPD1/1/2016Datstat LLCCOPD FoundationiTunes LinkThe study expands recruitment and data collection possibilities for researchers at the COPD foundation.StopCOPD app also makes it easier for participants to quickly register and participate in the COPD PPRN. Data collected is also used to provide tailored content, allowing participants to learn more about COPD symptoms, risk factors, and tips for how to minimize these. Participant data is obtained through the use of regular assessments, daily and/or weekly tasks, health data tracked through the iPhone or Apple HealthKit app-linked device. Personalized feedback is given to participants through a dashboard, accessed via the app or online patient portal, giving greater insights into their COPD or respiratory symptoms.Project Page
TeamStudy3/1/2016HarvardSage BionetworksiTunes LinkTeamStudy is the first app dedicated to improving football player health by engaging thousands of former NFL players and the general public alike. The app gathers data in real time on many conditions former athletes face. Collecting information from large numbers of people in this novel way contributes to scientific discoveries that address the diverse health needs of former NFL players and future generations of athletes.Project Page
Yale Cardiomyopathy Index10/1/2015Yale UniversityiTunes LinkThe study is collecting data on patients with cardiomyopathy in an effort to better understand the disease course and quality of life in this patient population. Participants can indicate cardiomyopathy etiologies including hypertrophic, ischemic, dilated/non-ischemic, restrictive, LV non-compaction, and arrhythmogenic (presumably ARVD). Over time, participants will periodically fill out questionnaires, in particular around quality of life, and perform 6 minute walk tests using their iPhone. Participants who have connected heart rate monitors can also upload heart rate data.
Yale EPV11/1/2015Yale School of MedicineiTunes LinkYale EPV enables pregnant women to track the growth of their baby’s placenta.Women are asked to report the EPV measurement from their fetal ultrasound. Researchers are interested in knowing the correlation between Estimated Placental Volume (EPV) and pregnancy outcomes. Resources are provided to guide ultrasound technicians in the measurement of EPV. The goal of the study is to determine whether Estimated Placental Volume (EPV) can be used to predict pregnancy outcomes.Project Page