Happy International Day of Human Space Flight!
Today, Yuri Gagarin, the Russian cosmonaut completed the first successful spaceflight and became the first human in outer space in 1961. From conquering space to being captivated with the solar eclipse earlier this week, our fascination with the cosmos is sure a never-ending affair.
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- The North American mental health apps market is expected to grow at a CAGR of 13.2 percent from 2024 to 2030
- At the beginning of 2023, young US adults between the ages of 18 to 34 years reported higher usage and appreciation of meditation applications.
- Nearly 20 percent of young people and children between the ages 3 to 17 in the USA have a mental, developmental, emotional, or behavioral disorder.
Mental health apps come across a variety of shapes and sizes. Here’s a list of most popular mental health apps among appreneurs.
- Teletherapy apps
- Meditation apps
- Addiction recovery apps
- Eating disorder recovery apps
- Depression and anxiety management apps
- Mood tracker apps
- Self development apps
Take a deep dive into what goes into developing a mental health app, what features should you prioritize, how to monetize the app and how much does it cost to develop a mental health app in this exhaustive guide.
Here’s the most important breakthroughs and advancements we spotted in the healthcare technology space this week.
- Digital Health: UC Davis Health has initiated a program using their digital health platform- UCNOW texting system, to send text messages to patients, prompting them to participate in at-home colon cancer screenings. Initial data from the trial show 53% interest among 86 patients, with 39% eligible after the questionnaire.
- AI: Community Health Network broadens the usage of an AI tool that automates chart reviews across its entire enterprise. This platform also detects patient care gaps and aids in pre-visit planning by scanning charts for unstructured data. Additionally, it facilitates patient self-scheduling and automatically updates EHRs with scheduled appointments.
- EHR: HCA Healthcare's physician practices and urgent care centers can now refer patients directly to psychiatric care using their EHR system, thanks to a partnership with Talkiatry, a mental health practice offering in-network psychiatry and therapy.
- Machine Learning: A machine learning model accurately predicted the risk of about 3 in 4 hospital-acquired pressure injuries. The model’s accuracy of 75% is a 20% improvement over current methods.
- Healthcare App: Cedars-Sinai has?expanded?its virtual primary care app to be available to children aged 3 to 17 (via their parents) as well as Spanish-speaking patients. The platform uses AI to automate administrative tasks for the virtual clinicians. Since launching in fall 2023, the app has provided over 10,500 virtual visits to more than 8,000 patients throughout California.
- Patient Portal: Kaiser Permanente utilized an AI-powered system that successfully resolved one-third of patient messages, significantly reducing clinicians' inbox burden. The system, employed in a study analyzing 4.7 million messages, categorizes messages by topic and forwards them for regional team management. As a result, 31.9% of messages were resolved without requiring physician intervention.
- Startups: Seven healthcare companies?made CB Insights' list of the most promising artificial intelligence startups of 2024. These include Bioptimus, Charm Therapeutics, Iambic, Isomorphic Labs, Genesis Therapeutics, Gesund.ai and OpenEvidence.
- Partnership: AtlantiCare has partnered with Oracle Health for six years, gaining access to clinical and operational applications to advance personalized medicine with genomics and AI. They will also be an early adopter of Oracle's Clinical Digital Assistant, simplifying computer tasks for clinicians through voice commands
- Stats:A study by University of Pennsylvania of 100 nonfederal acute care hospitals found 96% of hospital websites share user data with third parties like Meta and Google. However, only 71% had accessible privacy policies, and among them, only 56.3% disclosed the third-party recipients of user information.
- Policy: CMS?released its annual Inpatient Prospective Payment System proposed rule April 10, which proposes a reimbursement boost for acute care hospitals.
Digital twins are virtual models that are built after combining vast amounts of data on organs, diseases, genes, tissues, treatment, medications, etc. These models replicate patients’ data and can be used to test the safety and efficacy of drugs and treatments.
Read more about real-world examples of digital twin technology in healthcare here.
