06Jun

Five teams of nurses and technologists are winners for the innovative projects they entered in the first Nurse Hack 4 Health virtual hackathon.

sen out of 30 entries, the winning teams earned the highest scores for their solutions to challenges presented by the COVID-19 pandemic laid out in five categories ranging from “Acute Care Patient Monitoring” to “Resiliency & Self-Care.”

Sponsored by Microsoft, John & Johnson, dev up and the Society of Nurse Scientists, Innovators, Entrepreneurs & Leaders (SONSEIL), the entries were judged on “solutions that answer the challenge, but also do so in a way that balances simplicity with creativity.” A second criterion was the project’s readiness: “High scores will be given to solutions that are ready to deploy, provide appropriate instruction for use, etc.”

The 25 judges included practicing nurses, Microsoft’s chief nursing officer, the dean of nursing at the University of Pennsylvania, software application and development firm executives, the head of Deloitte’s Healthcare Transformation team and senior executives in technology and nursing and HCP strategy at Johnson & Johnson.

All the participating team solutions that made it to the final round are open source, posted on GitHub to enable health systems and others to, as the hackathon sponsors explained, “make changes needed to fit their systems or processes.”

From DailyNurse, here is a brief look at the winners and their projects. (The links go to each team’s video presentation for the judges):

Resiliency & Self-Care category – The team developed Well Nurse a peer-to-peer app to help nurses cope with stress, connect with one another, and identify best practices to foster mental well-being.

Acute Care Patient Monitoring category — HearNow connects patients and their loved ones separated by social distancing. With this system, loved ones can transmit video and audio messages from home that nurses can share when patients are alert and in need of comfort.

Data & Reporting category – The team’s project Activate School Nurses connects h school nurses with nursing students in need of clinical experience who will assist them in preparing for school reopening and maintain and monitor student health data to reduce the danger of further outbreaks.

Patient Care Coordination category – In a busy facility, it can take time to locate needed equipment. Nurse GPS proposes to solve that challenge by tracking equipment, giving nurses the floor and room location for each device. The aim is to reduce delays and lessen the danger of infection by making it unnecessary for a nurse to leave and reenter a room multiple times.

At-Home Patient Monitoring category – Social distancing and stay at home directives are driving a boom in telemedicine. But in areas with broadband access and among groups, especially seniors, without smartphones, remote access to medical professionals is difficult or impossible. Project Flourish works around those limitations, using a 1990s era technology to broaden the reach of telemedicine in rural areas and among seniors.  

Photo by Ani Kolleshi on Unsplash

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Anthropic Unveils Claude 3: Redefining AI Chatbots with Enhanced Capabilities

Anthropic, the AI startup backed by Google and with substantial venture capital, has just introduced the latest iteration of its GenAI technology: Claude 3. This announcement marks a significant advancement in AI capabilities, positioning Claude 3 as a formidable competitor even against OpenAI’s GPT-4.

Advanced Capabilities

According TechCrunch, “Claude 3, as Anthropic’s new GenAI is called, is a family of models — Claude 3 Haiku, Claude 3 Sonnet, and Claude 3 Opus, Opus being the most powerful. All show “increased capabilities” in analysis and forecasting, Anthropic claims, as well as enhanced performance on specific benchmarks versus models like ChatGPT and GPT-4 (but not GPT-4 Turbo) and Google’s Gemini 1.0 Ultra (but not Gemini 1.5 Pro).”

Multimodal Functionality

One notable feature of Claude 3 is its multimodal functionality, enabling it to analyze both text and images. This capability, like some iterations of GPT-4 and Gemini, allows Claude 3 to process various visual data such as, “…photos, charts, graphs and technical diagrams, drawing from PDFs, slideshows and other document types.” TechCrunch went further to note, “In a step one better than some GenAI rivals, Claude 3 can analyze multiple images in a single request (up to a maximum of 20). This allows it to compare and contrast images, notes Anthropic.” However, Anthropic has imposed limits on image processing to address ethical concerns, “Anthropic has disabled the models from identifying people…”

Claude 3’s Limitations

While Claude 3 showcases remarkable advancements, it’s not without limitations. TechCrunch reported that, “…the company admits that Claude 3 is prone to making mistakes with “low-quality” images (under 200 pixels) and struggles with tasks involving spatial reasoning (e.g. reading an analog clock face) and object counting (Claude 3 can’t give exact counts of objects in images).” Anthropic promises frequent updates to Claude 3, aiming to enhance its capabilities and address existing limitations. These updates will include improvements in following multi-step instructions, structured output generation, and multilingual support, making Claude 3 more responsive and adaptable to user needs.

As Anthropic continues to innovate and expand their offerings, the company remains dedicated to fostering a transparent and responsible approach to AI development. With substantial backing and a clear roadmap for future enhancements, Anthropic is poised to share the future of AI-driven solutions and pave the way for transformative advancements in various domains.

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Jun 6, 2023

Chronic Pain Patients Find Telehealth Cost Effective

Telehealth continues to demonstrate its popularity, this time among people suffering with chronic pain.

At their annual meeting this month, itself held online, anesthesiologists heard that patients who met with their pain specialist remotely were overwhelmingly satisfied with the experience.

Conducted by the UCLA Comprehensive Pain Center in Los Angeles, the survey period began in August 2019, long before the COVID-19 pandemic. Patients at the pain center were given the option of in-office or remote appointments by video or phone. The 1,398 patients who chose the remote options had a cumulative 2,948 virtual appointments.

According to an account of the study by Healthcare Finance the virtual meetings saved patients both time and money. Half saved at least 69 minutes commuting and a roundtrip of 26 miles or more. They also saved a median $22 in gas and parking fees for each virtual visit.

Initial visits for new patients or existing patients with new conditions were best served by in-person office appointments, the report said. Thereafter, follow-up appointments could be conducted remotely. Anesthesiologists participating in the conference estimated that up to 50% of visits could be virtual.

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