Mobile health (mHealth) is a branch of the digital health market that specifically uses mobile technologies. Data from mHealth can inform, assess, anticipate, and aid in interventions while monitoring and coordinating patient health status and care. The vast majority of American adults own cell phones, and innovators in mHealth have been developing platform-agnostic, validated instruments for patientcentric realtime mobile data capture. With high technology access in place and mHealth tools emerging, the potential exists to revolutionize the way health services are delivered and experienced. To date, mHealth applications and devices have been used within the areas of epidemiology, general public health, and clinical trials. As mHealth can collect and analyze multifaceted data in near real time, these technologies may dramatically alter the speed with which evidence-based practice can be customized toward achieving the triple aim of high-quality care, improved out-comes, and lower costs. Challenges to achieving this revolution are seen in the complexities of integrating new technologies into the existing health service record systems, the needs of multiple and diverse healthcare stakeholders, and the research burden of producing high-quality evidence to demonstrate the clinical and economic outcomes enabled by mHealth.
Patients are overwhelmingly satisfied with dermatology consults via Google Glass, even preferring them to consultations over the phone, according to a feasibility study recently published in JAMA dermatology. MobiHealthNews wrote about the study last year when Rhode Island Hospital first began to investigate Google Glass, working with Glass startup Pristine.
The study was conducted on emergency room patients who presented with a rash or other skin condition. Normally, those patients would get a dermatology consult by phone, with a picture of the affected skin emailed to the consulting dermatologist in some cases. The 31 patients who completed consultations in the study went through that standard procedure, but also had a second consult with an emergency room physician wearing Google Glass, who could stream images directly to the specialist.
Twenty-nine of the patients (93.5 percent) were satisfied overall with the procedure and 30 (96.8 percent) were confident in both the accuracy of the video equipment and the privacy of their information. Twenty-eight people said they would recommend the Google Glass consultation to others.
Only 7 participants said they liked the experience more than they would have enjoyed a simple face to face consultation with the specialist, but in many areas setting up a specialist visit can take weeks. And 23 of the 31 patients in the study said they preferred the consultation to the standard of care (the phone call and e-mailed photo).
Ogilvy CommonHealth Worldwide evaluated how 14 major pharma companies were performing across six key categories:
Social presence: How many social networks was the company on? Activity: Was the content kept fresh with regular updates?Engagement: Were the companies engaging their users and generating interest? Social network: How simple and intuitive was the connection between social networks? Virality: Was the content spread around the social sphere?Sommunity Size: How big was the community?
Via Pharma Guy
I prepared the chart on the left for the Pharma Marketing News article "DTC Ad Spending Rises from the Grave," which was published this Monday. You should compare this version of the chart to the one I published here on Pharma Marketing Blog last week (here).
This chart says 5% of pharma's 2014 DTC ad budget went to the Internet (excluding search), whereas the previous version says only 3%.
This chart says 63% of the budget went to TV, whereas the previous version says 70%.
I'll ignore print for now.
Determining the exact amount that the pharmaceutical industry spends on advertising via different media (TV, print, Internet, etc.) is a daunting task. Numbers regarding pharma DTC spending come from two sources: Nielsen and Kantar Media. Both report "measured media" spending, which includes TV, magazines, news-papers, radio, outdoor, and Internet (display ads only, not including search). Kantar tracks over 3,000 media sources throughout the US and Canada, which is a different methodology than that used by Nielsen. As a result, the numbers from these sources often do not match (for more on that, read "Making Sense of Pharma DTC Spending Trends").
The United Kingdom’s National Health Service (NHS) is funding a pilot testing the use of a vital sign monitoring, wearable patch in hospitalized patients to detect & intervene on signs of clinical deterioration faster.
The device being used in this pilot is the SensiumVitals wearable patch. The device is a low-power patch sensor that goes on the chest and includes ECG electrodes and what appears to be an axillary temperature probe. The device can measure heart rate, respiratory rate, and body temperature. That information is then sent via a bridge to the SensiumVitals system where alert thresholds can be set. So if you set a threshold for a temperature of 38.0 C and your patient hits 38.2 C, then an alert is sent to nurse via a page or through secure text messaging solutions. This information can also be fed into the hospital’s EMR.
To gain a more precise understanding of the digitization challenge facing business today, McKinsey has been conducting an in-depth diagnostic survey of 150 companies around the world. By evaluating 18 practices related to digital strategy, capabilities, and culture, we have developed a single, simple metric for the digital maturity of a company—what might be called its Digital Quotient, or DQ. This survey reveals a wide range of digital performance in today’s big corporations (exhibit).
Bayer has secured the top slot among pharmaceutical sector corporate reputations for the fourth straight year, according to the Reputation Institute's annual ranking, but the sector as a whole lags behind other industries.
A large-scale survey of U.S. doctors tells us that doctors are using digital tools and willing to receive data feeds from their customers, but they are quite frustrated by poor usability of digital healthcare tools and difficulty getting measurable results.
The insight of the year goes to Leonard Kish, a health IT strategy consultant, for making that statement regarding patient engagement. The corollary to this statement is a game changer: What happens when effective patient engagement becomes the Standard of Care? Used to determine whether a doctor is liable [...]
Exergaming has its critics but it also has its believers. I was passed this infographic (viaHSN) covering some of the studies that show the benefits and effectiveness if using video games for fitness. Did you see your favorite exergame included?
Background: Journal clubs are an essential tool in promoting clinical evidence-based medical education to all medical and allied health professionals. Twitter represents a public, microblogging forum that can facilitate traditional journal club requirements, while also reaching a global audience, and participation for discussion with study authors and colleagues.
Objective: The aim of the current study was to evaluate the current state of social media–facilitated journal clubs, specifically Twitter, as an example of continuing professional development.
Methods: A systematic review of literature databases (Medline, Embase, CINAHL, Web of Science, ERIC via ProQuest) was performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A systematic search of Twitter, the followers of identified journal clubs, and Symplur was also performed. Demographic and monthly tweet data were extracted from Twitter and Symplur. All manuscripts related to Twitter-based journal clubs were included. Statistical analyses were performed in MS Excel and STATA.
Results: From a total of 469 citations, 11 manuscripts were included and referred to five Twitter-based journal clubs (#ALiEMJC, #BlueJC, #ebnjc, #urojc, #meded). A Twitter-based journal club search yielded 34 potential hashtags/accounts, of which 24 were included in the final analysis. The median duration of activity was 11.75 (interquartile range [IQR] 19.9, SD 10.9) months, with 7 now inactive. The median number of followers and participants was 374 (IQR 574) and 157 (IQR 272), respectively. An overall increasing establishment of active Twitter-based journal clubs was observed, resulting in an exponential increase in total cumulative tweets (R2=.98), and tweets per month (R2=.72). Cumulative tweets for specific journal clubs increased linearly, with @ADC_JC, @EBNursingBMJ, @igsjc, @iurojc, and @NephJC, and showing greatest rate of change, as well as total impressions per month since establishment. An average of two tweets per month was estimated for the majority of participants, while the “Top 10” tweeters for @iurojc showed a significantly lower contribution to overall tweets for each month (P<.005). A linearly increasing impression:tweet ratio was observed for the top five journal clubs.
Conclusions: Twitter-based journal clubs are free, time-efficient, and publicly accessible means to facilitate international discussions regarding clinically important evidence-based research.
Twitter is emerging as another tool for predictive analytics in healthcare.
By collecting and mapping the location of tweets with keywords such as "asthma," "inhaler" and "wheezing," mining the EHR at Parkland Memorial Hospital, then comparing to air-quality reports in the Dallas area, researchers were able to predict asthma-related emergency department traffic with 75 percent accuracy.
“ As Google changes the SERPs, building a loyal audience is more important than ever. Learn effective tactics to create relationships and trust before you focus on SEO.”
Via Kamal Bennani, C. Todd Livengood
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