A5028755431- Medication Adherence and Compliance
- Atrial Fibrillation Management and Outcomes
- Chronic Disease Management Strategies
- Pelvic floor disorders treatments
- Artificial Intelligence in Healthcare and Education
- Digital Mental Health Interventions
- Urinary Bladder and Prostate Research
- Urinary Tract Infections Management
- Diabetes Management and Education
- Heart Failure Treatment and Management
- Mosquito-borne diseases and control
- COVID-19 epidemiological studies
- Clinical practice guidelines implementation
- Pharmaceutical industry and healthcare
- Machine Learning in Healthcare
- Mental Health Research Topics
- Telemedicine and Telehealth Implementation
- Vaccine Coverage and Hesitancy
- Antiplatelet Therapy and Cardiovascular Diseases
Pivot
2019
Mass General Brigham
2019
Partners HealthCare Connected Health
2017-2018
HealthPartners
2017-2018
Boston Children's Hospital
2012
The objective of this study was to investigate the use novel surveillance tools in a malaria endemic region where prevalence information is limited. Specifically, online reporting for participatory epidemiology used gather about spread directly from public. Individuals India were incentivized self-report their recent experience with by micro-monetary payments. Self-reports diagnosis status and related solicited via Amazon's Mechanical Turk. Responders paid $0.02 answer survey questions...
Atrial fibrillation (AFib) is the most common form of heart arrhythmia and a potent risk factor for stroke. Nonvitamin K antagonist oral anticoagulants (NOACs) are routinely prescribed to manage AFib stroke risk; however, nonadherence treatment concern. Additional tools that support self-care medication adherence may benefit patients with AFib.The aim this study was evaluate perceived usability usefulness mobile app designed who NOACs.A previously developed based on early stage interview...
Background: Overactive bladder (OAB), defined by urinary urgency with or without urge incontinence (UI), usually frequency and nocturia, can significantly impact patient’s quality of life. Tracking symptoms is an important part OAB management has been shown to assist in enhancing patient interaction health care providers (HCP) when discussing solutions for symptom management.
Background: Atrial fibrillation (AFib) is the most common form of heart arrhythmia and a potent risk factor for stroke. Non-vitamin K antagonist oral anticoagulants (NOACs) are routinely prescribed to manage AFib stroke risk, however non-adherence treatment concern. Additional tools that support self-care medication adherence may benefit patients with AFib.
<sec> <title>BACKGROUND</title> Atrial fibrillation (AFib) is the most common form of heart arrhythmia and a potent risk factor for stroke. Nonvitamin K antagonist oral anticoagulants (NOACs) are routinely prescribed to manage AFib stroke risk; however, nonadherence treatment concern. Additional tools that support self-care medication adherence may benefit patients with AFib. </sec> <title>OBJECTIVE</title> The aim this study was evaluate perceived usability usefulness mobile app designed...
Background: Despite widespread adoption and demonstrated value in a range of industries, machine learning predictive algorithms are yet to be routinely used frontline medical care. Significant health system industry-based resources allocated towards validating refining for applications ensure accuracy reliability. For these useful useable, further work is required understand how why they might fit into, augment existing clinical workflows.
Background: Mood disorders and substance use (SUDs) co-occur at a high rate. Individuals with co-occurring mood are less likely to complete treatment. Of those who receive treatment, many do not adequate care that addresses both disorders. Integrated Group Therapy (IGT) is an evidence-based psychosocial treatment treats SUDs, stressing the similarities relationship between two Although IGT effective for individuals disorders, it widely available, IGT, there no in-the-moment support.
<sec> <title>BACKGROUND</title> Despite widespread adoption and demonstrated value in a range of industries, machine learning predictive algorithms are yet to be routinely used frontline medical care. Significant health system industry-based resources allocated towards validating refining for applications ensure accuracy reliability. For these useful useable, further work is required understand how why they might fit into, augment existing clinical workflows. </sec> <title>OBJECTIVE</title>...
<sec> <title>BACKGROUND</title> Mood disorders and substance use (SUDs) co-occur at a high rate. Individuals with co-occurring mood are less likely to complete treatment. Of those who receive treatment, many do not adequate care that addresses both disorders. Integrated Group Therapy (IGT) is an evidence-based psychosocial treatment treats SUDs, stressing the similarities relationship between two Although IGT effective for individuals disorders, it widely available, IGT, there no...
<sec> <title>BACKGROUND</title> Overactive bladder (OAB), defined by urinary urgency with or without urge incontinence (UI), usually frequency and nocturia, can significantly impact patient’s quality of life. Tracking symptoms is an important part OAB management has been shown to assist in enhancing patient interaction health care providers (HCP) when discussing solutions for symptom management. </sec> <title>OBJECTIVE</title> The primary goal this study was assess the usability...
Background Type 2 diabetes (T2D) is a complex and burdensome chronic disease. Most patients, including uncontrolled (HbA1c >7%) only see their Health Care Provider (HCP) once every three months. Thus, tremendous amount of patient self-management required outside the clinic to maintain blood glucose (BG) levels within healthy range prevent worsening Additionally, HCP’s overseeing care often rely on self-report lack key data about how well managing condition. We hypothesized that...