
Mayo Clinic Program Wants to Help Digital Health Startups Grow
Mayo Clinic Platform has developed a new program that could help speed up the time it takes for digital health startups to succeed.
Mayo Clinic Platform has developed a new program that could help speed up the time it takes for digital health startups to succeed.
December saw a slew of executive hires, promotions, exits and layoffs across the healthcare industry. For example, companies like Humana and Mayo Clinic hired new C-suite leaders, organizations including Atlantic Health System and Amwell are saying goodbye to key executives, and firms like CVS Health and Optum announced rounds of job cuts.
Walmart's Cancer Centers of Excellence program historically focused on some of the most prevalent cancers, such as breast, lung, colon, prostate, pancreatic and blood cancer. Now, employees can access the same benefit for a whole host of other cancers, including bone, pituitary, liver, thyroid, central nervous system and gynecological.
Mayo Clinic recently launched a collaboration with Exer AI, a Denver-based startup. The AI company seeks to improve diagnosis and treatment for musculoskeletal and motion disorders wherever the patient is — whether that be in their provider’s office, their home or via telehealth appointment.
Mayo Clinic has entered into a collaboration with TruLite Health — Mayo is helping the Phoenix-based startup develop its software platform designed to address providers’ clinical bias. The health system said it chose to collaborate with TruLite because of the platform’s potential to mitigate health inequities and enhance patient outcomes at the point of care.
FASENRA® (benralizumab) injection, for subcutaneous use, 30 mg is indicated for the treatment of adult patients with eosinophilic granulomatosis with polyangiitis (EGPA). FASENRA provides a treatment option for HCPs to consider when managing this challenging disease.
This year's J.P. Morgan Healthcare Conference brought a bevy of news announcements — from acquisitions to partnerships to new products and more. This list compiles short summaries for seven of the event’s most notable announcements.
Dr. Wendaline VanBuren, a radiology chair at Mayo Clinic, thinks that AI is in the beginning stages of improving radiologists’ workflows. Some of the most developed radiology AI research projects at Mayo center on image segmentation and 3D printing, she said. In the future, she’s excited to see more tools that aid radiologists in triage and lesion measurement.
Digital health platform Ayble Health partnered with Mayo Clinic to offer patients a hybrid care model for digestive health that matches them with the appropriate virtual and in-person services based on their acuity and needs. The hybrid care model is available for large employers and health plans.
At HLTH, Mayo Clinic Platform President John Halamka gave a window into how his health system is mitigating generative AI risks. Some of the measures Mayo is taking include running analyses on how well algorithms perform across various subgroups and training models only on internal de-identified data.
The ongoing nursing shortage facilitates high turnover rates since nurses know they won’t have difficulties finding new jobs. In order to retain and attract staff, it’s in a facility’s best interest to understand what nurses want.
Senator Mark Warner (D-Virginia) penned a letter to Google leadership expressing concerns about Med-PaLM 2 — the company’s generative AI tool for healthcare providers that is currently being used by Mayo Clinic and other health systems. The letter requested that Google provide more clarity about its chatbot’s training, accuracy, ethical considerations and deployment in healthcare settings.
Google Cloud and Mayo Clinic recently announced a partnership focused on generative AI — the health system will be deploying a new HIPAA-compliant Google Cloud service called Gen App Builder. The tool enables providers to create a search system for their data, equipped with conversational features powered by Google’s large language models.
Lucem Health recently closed a $7.7 million Series A funding round. The startup's platform takes in the data required to fuel AI algorithms that give clinicians insights to improve patient care.
Many of the efforts to address healthcare's burnout crisis have centered on money, such as hiring and retention bonuses, but that isn’t sustainable. Providers don’t have the means to keep throwing money at the problem forever, so they should focus more on creating a workplace culture where employees feel valued and supported.
Machine learning algorithms have reached a familiar milestone in the healthcare industry --in order for them to be more widely embraced by providers, different approaches to roadtesting and validating them are underway.