Social health network HealthKeep has announced a new app available on iOS. The portal within the app offers users a chance to get feedback from other patients and doctors.
Notably, people posting on the network are anonymous. Forum topics range from low-carb recipes for people with diabetes to pain management associated with Multiple Sclerosis.
“The release of our app validates the rapid growth of our platform,” founder of HealthKeep Lyle Dennis said in a statement. “We think of HealthKeep as a social personal health record or diary where people can share and exchange personal health experiences.”
Other features in the app include access to an customizable social feed of what people are sharing on the network; a database of diseases, medications, symptoms with topic pages for each; profiles for every practicing doctor in the United States; and a messaging system that alerts users whenever something specifically relevant to them is posted.
Another health social network, Prevently, launched last month. This health network offers four main features on top of its social component: contributed health content, an e-commerce platform for purchasing non-pharmaceutical supplements, two-way virtual physician visits, and a personal health record that also connects with some fitness devices.
Also in October, online and mobile “social health management” platform WellTok acquired healthcare incentive design and management firm IncentOne to provide population health managers with a better way to offer consumers personalized rewards for healthy behaviors.
DIA 2013 49th Annual Meeting will be held in Boston, Mass. from June 23-27, and will feature a session titled ’Defining Clinical Trial Innovation: Challenges and Opportunities for 2013’ under the Communities Showcase track.
The Michael J. Fox Foundation (MJFF) has recently begun to explore how data sourced from mobile phones and analyzed with machine learning algorithms can help improve research into Parkinson’s. The organization held the Parkinson’s Data Challenge, where teams competed for a $10,000 prize with their approaches to analyzing a dataset collected from Parkinson’s patients.
“Last year, we were approached by [entrepreneur] Daniel Vannoni. He had conducted this project with 16 individuals — nine patients, seven control, and for 8 weeks, 4-5 hours a day, these individuals carried a smartphone. The smartphone had seven sensors that were collecting data for that period,” said Laxmi Wordham, Chief Digital Officer of the MJFF. She said that Vannoni, a Cambridge-based entrepreneur who heads up Gecko Ventures, did the study in the hopes of building a commercial app for managing Parkinson’s, but when the project fell through, he elected to donate the data to the Foundation, whom he had worked with previously as a fundraiser.
“We don’t have a statistician on staff, and we thought there was something behind this data that we wanted to pursue,” Wordham said. “So we thought about making this a challenge. One objective was to test the prize/challenge model. Objective two was, could we learn something from data collected through mobile technology? Was there a ‘there’ there that we could continue to pursue? And three, could we reach a statistical analysis base of people who weren’t involved in Parkinson’s?”
The data was collected in the background by the phones and included movement data from the built-in accelerometer, data about the user’s tone of voice, how much the phone was turned on and used, data from the built-in compass and GPS, and an ambient light sensor. One of the earliest symptoms of Parkinson’s is tremors, which could be detected either from voice or movement.
In fact, a number of mobile health innovators have been working to detect and analyze Parkinson’s symptoms. UCLA engineers did a clinical trial that proved the effectiveness of the iPhone’s built-in-accelerometer back in 2010. More recently, Max Little’s team at the Parkinson’s Voice Initiativeclaimed to be able to detect Parkinson’s with 99 percent accuracy from voice analysis over the phone.
The teams in the MJFF competition were challenged to develop a model that could use the data to identify the Parkinson’s patients from the control group and identify what stage of the disease users were in. But the challenge was also open-ended for teams to do more with the data.
Machine learning software company LIONSolver took home the prize. The company built an algorithm to analyze the data, working with a movement disorder specialist at Cedar-Sinai Hospital in Los Angeles, where the company is partially based (they also have an office in Northern Italy.)
“Now that we’ve done that, of course, with the support of MJFF and also Cedar’s there’s tremendous interest in seeing this go from experiment to something that would aid physicians,” said Drake Pruitt, CEO, LIONSolver. “The dream is a physician would have a way of monitoring the daily life of patients. Parkinson’s disrupts the daily life of people 24 hours a day, but a patient would only see their doctor once a month or once a quarter. It’s a challenge to accurately recap what’s happened — if they’re feeling great, it’s been great and if they’re feeling poorly, it’s been horrible and the reality is somewhere in between. To enable a physician to see what’s really going on is something the physicians are very excited about, and patietns as well. We’ve talked to physicians who are really excited by this possibility.”
LIONSolver will be continuing to work with the Michael J. Fox Foundation, and the foundation is continuing to use crowdsourcing in other ways as well. Last year, it launched Fox Trial Finder, an online tool to help locate Parkinson’s trials that has signed on over 16,000 volunteers for about 300 trials. Wordham said the organization is now working on what they’re calling the Patient Centered Research Tool.
“We want to source more information from patients. As part of that we’re looking at mobile applications to collect that data more readily,” she said. “Patients are willing to give out information about themselves and researchers are craving that data. Surveys, mobile apps to collect information both in a passive sense and a more active sense: There’s a lot of very creative things we believe we can do.”
Crowdsourcing data to improve research is a popular idea lately. At TEDMED two weeks ago, Jessica Richman from uBiome talked about how the future of research is crowdsourced data. PatientsLikeMe recently opened up an open-participation research platform to share some of the data it’s collected from patient users. High-profile disease-specific groups like MJFF are well-positioned to become leaders in the crowdsourced research revolution.
“I think we are in a unique position,” said Wordham. “We have a brand name, we have a large following, an active, engaged community that are willing to get involved when we ask them to. I think in our position there’s a lot more that we can do with building the right tools, to both have patients get engaged and then have a research community that can utilize that to better understand the disease.”
Funds for Research (F4R) es una asociación sin ánimo de lucro que nace con el objetivo de conseguir financiación científica gracias a las donaciones de centenares de personas a través del micro mecenazgo, también conocido como crowdfunding.
El proyecto escogido se llama I Lowe You y está vinculado a las llamadas enfermedades ultrarraras o minoritarias. Este proyecto de investigación se basa en el desarrollo de conocimiento sobre elSíndrome de Lowe, ejemplo paradigmático de enfermedad de muy baja prevalencia o ultrarrara.
Éste es un proyecto colectivo que implica a un equipo médico y a un equipo de bioquímica/genética molecular integrado por profesionales de diferentes instituciones nacionales y europeas, liderado por profesionales médicos del Hospital de Sant Joan de Déu. También cuenta con la participación del equipo de psicólogos del Grupo de Investigación PSINET de la Universitat Oberta de Catalunya (UOC).
ccording to the latest IMS report on social media Wikipedia is the leading single source of healthcare information for patients and healthcare professionals. Wikipedia is used throughout the entire patient journey, not just at the point of treatment initiation or change in therapy and the correlation between Wikipedia use and medicine use
can be identified for a large number of disease areas. Facebook who?
Humayun Chaudhry of the Federation of State Medical Boards; Jason Cunningham of the Sebastopol Community Health Center in California; Ramona Nelson, a professor of nursing at Slippery Rock University in Pennsylvania; Bruce Springer, CEO of...
Data anaytics firm specializing in oncology sets out to give cancer doctors access to more meaningful data from a larger cancer patient population and make them more connected.
One of the biggest frustrations cancer doctors have is feeling like they’re the only ones treating cancer, according to Nathaniel Turner, co-founder of cancer data analytics startup Flatiron Health. He and co-founder Zachary Weinberg are about to start the second of a two year pilot program to create a virtual tumor board of sorts by giving physicians access to more meaningful data from a larger patient population.
The long-term goal is to give them a better sense of the best treatment options for their cancer patients depending on the type of cancer they have. ..
Turner points out that only roughly 4 percent of cancer patients are in clinical trials. Its solution is designed to retrieve data from the remaining 96 percent and improve clinical trial participation. Data analytics in the context of cancer would seem a strangely specific place for a couple of advertising technology professionals to enter, albeit successful advertising professionals who sold their business Invite Media to Google in 2010. Turner and Weinberg are intimately familiar with the challenges cancer patients face from friends and family and are strongly motivated to use technology to knock down silos and improve data transparency for oncology professionals. Turner points out that advertising technology is practically stratospheric next to healthcare IT and believe they can advance the quality of technology. ...
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