How could health care be more like Uber? What could it learn from Airbnb? Sitting in the heart of Silicon Valley, Medicine X would hardly be complete without a panel mentioning such companies. Luckily, Jonathan Bush‘s Saturday morning keynote embraced the questions and discussed bringing “the network effect” to health care, with a rollicking sense of humor to boot.Bush, founder and CEO of athenahealth, extolled the network as the principle by which supply and demand can be re-calibrated in real time, just like Uber does with auto transport and Airbnb does with temporary housing. Who is looking for what? Where, when, and at what price? What resources are sitting unused? By collecting this data via smart phones, and connecting such clients with providers who can meet their needs, health care could be immensely more efficient, responsive, and affordable, Bush argued.
Via Alex Butler
Here’s a surprising stat: Almost half of the American population suffers from chronic illness. Here’s an even more surprising stat: almost one in four Americans (approximately 75 million people) have multiple chronic conditions. And here’s an alarming one: chronic illness (ex: hypertension, respiratory diseases, arthritis, heart disease, diabetes, cancer, dementia) is the leading cause of death and disability in the U.S.
The good news: technology has enabled a burgeoning universe of digital solves to help patients manage their health. This universe, though still in its relative infancy, is huge: there are over 165,000 apps and digital services ranging from basic tools such as fitness trackers to research platforms connecting patients with doctors.
The term innovation belongs to that congregation of clichés that can be lazily used to evoke a sense of modernity and progression, often within industries or professions better known for conservatism and resistance to change. What actually is innovation? There are hundreds of definitions available, with the consensus describing innovation as the creation of better solutions to new or existing problems or needs that can take the form of products, processes, services or technologies. On the face of it medicine and technology rely on innovation and Pharma relies on both in order to survive. It should be a marriage made in hesThe term innovation belongs to that congregation of clichés that can be lazily used to evoke a sense of modernity and progression, often within industries or professions better known for conservatism and resistance to change. What actually is innovation? There are hundreds of definitions available, with the consensus describing innovation as the creation of better solutions to new or existing problems or needs that can take the form of products, processes, services or technologies. On the face of it medicine and technology rely on innovation and Pharma relies on both in order to survive. It should be a marriage made in heaven...
Via Alex Butler
In a shifting health care landscape, nontraditional players are trying to frame patient engagement strategies that are focused on providing patients solutions that are coordinated, convenient, customized, and accessible.
Wearable health trackers and Smartphone apps have taken the world by storm in recent years. Around 20% of Smartphone users have one or more health apps on their device, and a 2014 report by Nielsen found 1 in 6 of us use wearable technology - such as fitness trackers - on a daily basis.
According to the authors of the American Heart Association (AHA) statement - including Lora E. Burke of the University of Pittsburgh, PA - the most popular self-monitoring devices and apps are those that track physical activity or heart rate. But do such technologies have a direct impact on heart health?
For their study, Burke and colleagues reviewed a number of meta-analyses and randomized clinical trials of mobile health technologies that had been conducted over the past 10 years.
They investigated how such technologies influenced improvement in risk factors for heart health, as determined by the AHA's Life's Simple 7: eating healthily, increasing physical activity, weight management, avoidance of tobacco smoke, reducing blood sugar, cholesterol control and blood pressure control.
Patient-generated health data - a new phenomenon that includes taking medical selfies, wearing body monitoring devices, and recording info on mobiles and health apps - has come under the lense of medical photographer and QUT PhD researcher Kara Burns.
Ms Burns, from QUT's Business Faculty, said the rise in patients taking their own medical selfies and tracking and documenting their health with devices like Fitbits was changing the doctor/patient relationship. "I am interested in how this affects clinical care and am researching a number of issues this new patient dynamic is creating such as whether patients prefer to take their own photos or have their doctors take them," Ms Burns said.
"Also I'm looking at whether they should be taken on a dedicated camera or a smartphone."
Ms Burns said her interest was piqued while working in hospital photography when she noticed that doctors and nurses were taking clinical images on their smartphones. "I did my honours research into the privacy and consent issues surrounding this phenomenon," she said. "I found clinicians were readily taking images on smart phones and that raised privacy and confidentiality concerns. I also noted patients were taking images on phones and bringing them into clinical consultations."
Visión después de una década Pregunta clínica Formulación de Preguntas en Medicina Basada en la Evidencia Búsqueda eficiente de la literatura y tecnologías de la información Búsqueda de información en medicina ...
Este paradigma no es un mero brindis al sol. Es una realidad con nombres y apellidos: big data. Ingentes volúmenes de información capaces de registrar nuestra salud al minuto no solo para saber cómo estamos hoy sino para predecir la hoja de ruta que nos hará estar mejor mañana. Oportunidades de gestión sanitaria que pueden salvar cientos de millones de euros a los gobiernos. Las aplicaciones del big data en la salud tienden al infinito e invitan a imaginar un nuevo paradigma para el sector con esta tecnología como fulcro.
“Hay una explosión de datos en la salud. Y todo este caudal sobrepasa a las instituciones y profesionales del sector. Pero al mismo tiempo hay la promesa de que esta información tiene el potencial de mejorar la atención médica”, afirmaba Frans Van Houten, CEO de Philips, durante una entrevista entrevista concedida a The Wall Street Journal en el marco del Foro Económico Mundial de Davos. Una promesa que tiene cifras. Por ejemplo, los 265.000 millones de euros que se podría ahorrar el sistema de salud norteamericano implantando correctamente esta tecnología , según la consultora McKinsey. O los 25.000 petabytes de información que se manejarán en el sector en 2020, un incremento del 5000% en los últimos ocho años, según un estudio de IBM.
¿Qué queremos decir cuando decimos que no pasemos al 2.0 o 3.0 sin haber pasado adecuadamente por el 1.0?
Vamos a explicarlo, eso sí en su parte tecnológica, la deontológica y sentimental la dejamos para otro día. No nos saltemos escalones, antes de posturear con lo 2.0 y sus secuelas convendría que la sanidad española iniciara de una vez una política adecuada de información y comunicación, que se debería ir concretando en:
A new study by EUPATI has revealed a belief among pharmaceutical industry personnel that greater involvement of patients and the public could improve medicines research and development (R&D). The study, which is one of the first of its kind and part of the wider European Patients’ Academy (EUPATI) project, was published today in the BMJ Open.
Patients have become increasingly involved in managing their own health over recent years. Although still an emerging area, patient involvement in medicines R&D – in which patients are actively involved in research projects and in research organisations – is most visible in public research environments (e.g. the UK’s National Institute for Health Research) and areas where existing treatment options are limited (e.g. rare diseases).
Researchers interviewed 21 pharmaceutical industry professionals, representing 11 companies, from the UK, Spain and Poland, with diverse professional roles including pan-European roles, about their attitudes regarding Public and Patient Involvement (PPI) in medicines R&D.
Most of the professionals had positive beliefs about PPI, and many were optimistic that greater involvement of patients and the public would contribute positively to the medicines R&D process. However, those in Spain and Poland expressed more uncertainty about the benefits and value of PPI than those in the UK or with pan-European roles.
The interviewees also highlighted potential barriers to further PPI activity within the sector, including a sense that the concept was too intangible at the moment to persuade industry leaders of its importance and benefits; that organisational codes of practice currently represent obstacles to PPI; and that it may be difficult to engage public and patients if they have negative views of the sector.
As a result of the study, the EUPATI project is discussing the potential for a new direction towards PPI in industry-led medicines R&D and has identified examples of patient/industry partnerships in this area.
¿Imaginas un directivo sanitario escuchando las aportaciones del camarero de la cafetería del hospital? ¿y un gerente que tiene en cuenta como se traducen las estrategias en un equipo de salud del ámbito rural?
Coupled with a digital pen, new models from the MIT Computer Science and Artificial Intelligence Lab can help detect dementia and other cognitive disorders earlier than ever before.For all of the advances in medical technology, many of the world's most widely-used diagnostic tools essentially involve just two things: pen and paper.Tests such as the Montreal Cognitive Assessment (MoCA) and the Clock Drawing Test (CDT) are used to detect cognitive change arising from a wide range of causes, from strokes and concussions to dementias such as Alzheimer's disease.What's disconcerting, though, is that, with dementia and other disorders growing in prevalence, most current diagnostic methods detect cognitive impairment only after it starts affecting people's lives. In Alzheimer's, for example, changes in the brain may occur 10 or more years before the cognitive change becomes noticeable, and no easily administered test can detect these changes at the very earliest stage.
Many studies have shown that women use the Internet more often for health-related information searches than men, but we have limited knowledge about the underlying reasons. We also do not know whether and how women and men differ in their current use of the Internet for communicating with their general practitioner (GP) and in their future intention to do so (virtual patient-physician relationship).
Some industry stakeholders from providers to investors to consumer device makers think something like Apple’s HealthKit could be the catalyst that finally brings the patient — and patient-generated data — into the healthcare ecosystem in a way that electronic medical records have persistently failed to do.
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