?? Neuralink Implants Device In Human Brain
Arkenea Inc
We augment your teams with specialized HealthTech engineers to develop custom software solutions.
Good morning. It's official: spring is right around the corner.
At least, according to Punxsutawney Phil, the groundhog who did not see his shadow at the Groundhog Day celebration this morning.
That means, according to the legend, we're in for an early spring!
Until then, let’s dive into the movers and shakers of HealthTech this week!
Enter your email here to receive this newsletter in your inbox directly from HealthTech Zen.
PULSE POINTS
Latest Breakthroughs This Week
Here’s the most important breakthroughs and advancements we spotted in the healthcare technology space this week.
SNIPPETS
The Latest In HealthTech
领英推荐
DECODER
What is Digital Therapeutics?
Digital therapeutics are devices and software used to treat a wide array of diseases. They can be used independently or with medications to treat behavioral and physical disorders.
Read more about it here.
DEEP DIVE
AI Outperformed Clinicians in Identifying Social Determinants of Health from EHR Data
What is happening: Large language models outperformed healthcare providers in mining patients’ medical records to find their social needs. Factors for social determinants of health (SDoH) include housing, transportation, financial stability, and community support. Because screening for such factors in clinical notes is so challenging, researchers tested AI tools to see how they compared.
Among 770 cancer patients who received radiation therapy, 48 had an adverse social determinant hidden in their clinical notes. The best-performing model identified 45 of those patients.
Why it matters: Social determinants of health play a crucial role in a patient's health outcomes once they leave the doctor’s office. The screening for these factors is tough and even when it occurs, the findings are scattered across clinical notes from the patient’s visits searching for it and its subsequent utilization for clinical follow-ups is a challenge.
While a subset of billing codes exists to capture SDoH data for quality improvement and health equity efforts, they are sorely underutilized. Healthcare LLMs for identifying SDoH could augment efforts to identify patients who may benefit from social resource support, especially in cases of severe medical conditions such as cancer care where the distance a patient lives from a major medical center or the support they have from a partner can substantially influence outcomes.
The way forward - specialized learning models: Compared to larger models like OpenAI’s GPT-4, the specialized models showed less bias in determining SDoH based on race, ethnicity, or gender. Smaller, specialized models are deemed less prone to bias and more cost-effective compared to larger models like GPT-4.
Data extraction using AI can enhance physician experience and patient outcomes however operational challenges, including clinician alert fatigue, bias mitigation, and obtaining patient consent remain.
?? Spring brings new beginnings and in HealthTech, every innovation is a step towards a brighter future! As Albert Einstein once said, “Learn from yesterday, live for today, hope for tomorrow.” Let's embrace the spirit of renewal and growth this season. ?? Also, did you know there’s a chance to be part of setting a Guinness World Record for Tree Planting? It’s a unique opportunity to grow with us. Learn more: https://bit.ly/TreeGuinnessWorldRecord
That's great news! As Robin Sharma once said, "Change is hard at first, messy in the middle and gorgeous at the end." Let's embrace this shift to spring and the advancement in HealthTech.?????? #ChangeIsGood #HealthTech