Our group of meteorologists and physicians have been researching the relationship of real-time weather and human health. We have found very strong relationships between several ongoing health concerns. We believe that using wearables, looking at patient databases of actions, medicine use, and emotion, we can co-relate with weather data. With that, we can actually predict some actions of risk. Weather impacts every aspect ...more »
The testing that is available presently is for identify mild, moderate, or advanced ALZ. There have recently been limited research to see if the sooner a person is identified and treatment begins the slower the disease progresses.
Need research to develop tests to identify earlier symptoms of the disease.
Trial match can partner with Alzheimer and LBD associations to create a listing of caregiver groups for Doctors and Facilities So to help caregivers find help. This will also assist in recruiting candidates for studies by increasing awareness. Providing speakers to these caregiver groups would enhance the effect. I include LBD because of the misdiagnosis of LBD as AD with terrible consequences.
Hodges' model is a generic framework that facilitates problem solving, assessment and reflection. Developed in healthcare the model can help support person-centered care, holistic care - that is paying attention to mental AND physical health, the need for integrated care. The model can be used by one person or a group on a flipchart, paper... for brainstorming. The model's four care domains includes a POLITICAL and SOCIAL ...more »
HealthIT policy makers are encouraging the development of apps that allow patients to download all their medical records into one location fully under their control. In January 2019, a law becomes effective that requires healthcare organizations to allow patients to use any app of their choice to download their records. This new technology and law will change healthcare, empowering patients to gather and share their data ...more »
Develop a way to assess the recruitability of varying protocols. Such analyses could examine trial design, availability of infrastructure or off-site entities to support imaging and other off-site technologies and clinical specialties, and diversity/special population issues that could pose access-limiting challenges.
Explore how the “Internet of Things,” with its sensory technologies, augmented reality, and machine-learning algorithms might be used to understand the personal needs of each research participant and to optimize engagement in research activities.
Assess the use of social networks, crowd sourcing and other digital environments, like disease forums, that would facilitate “pre-recruitment” discussions about the state of the science related to Alzheimer’s, improving awareness and inspiring curiosity about registries or clinical studies.
Examine the motivators, barriers, and facilitators to enrolling and remaining in a registry until invited to be considered for a study. Identify methods that influence a registry enrollee to participate in a study, including an analysis of how participants’ cognitive and functional status, demographics and other variables influence their registry behavior.
Assess the state of the field, with respect to current approaches, modalities, space, and performance. Look at registries in the context of their utility for recruitment to small studies as well as for large multi-site trials and national surveys. Identify best practices in recruiting and retaining registry volunteers for prolonged periods.
Assess the feasibility of successfully engaging specific audience segments. This should be approached with short, intermediate and long-term goals in mind to fashion and implement effective national outreach.