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June 29, 2022

ICYMI 3 Big News Stories from June

Commentary
HealthXL Team

In our Friday newsletter, we recap the biggest news story of the week so you don’t miss out on the latest trends, developments, and acquisitions in digital health. In case you missed it (ICYMI), this round-up will catch you up on the top stories from the past month. 

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#1 Story: Big Tech company Oracle to create unified patient database 

The story: US computer software company Oracle announced plans to build a national health records database, following their $28.3 billion acquisition of electronic health record company Cerner. According to chairman Larry Ellison, Oracle aims to pull electronic health records (EHR) from thousands of hospitals and store anonymized data on one unified database. 

Why it is notable:

Industry implications:

Read the full article here 

In other news...

#2 Story Snapshot:  Apple revealed new medication tracking and interactions features

The story: Apple revealed a new medications feature on the Apple Watch and iPhone Health app at its Worldwide Developers Conference. The feature allows users to manage their medications by setting up schedules and receiving alerts when it’s time to take them. Apple is strongly leaning into healthcare. With each new launch the company is showing the versatility of the Apple Watch and Health app and exploring just how far these technologies can reach. A key question of their adoption will depend on consumer comfort with sharing medication information with Apple. 

Read the full article here 

#3 Story Snapshot: Neuralight secures $25 million to develop digital biomarkers for neurological disease

The story: Neuralight, an Israeli startup, has received $25 million in Series A funding, bringing its total funding to $30.5 million just six months after launch. The company aims to create objective digital endpoints for the diagnosis and monitoring of neurological conditions. Neuralight’s device-agnostic technology uses proprietary algorithms to extract data related to oculomotor movements from videos that are taken on a standard smartphone or webcam. The technology can extract more than 100 evidence-based ocular parameters at one time.

Read the full article here

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