Health IT, Startups

Check out the startups in the latest Cedars-Sinai accelerator class

Relying on everything from artificial intelligence to Bluetooth technology, the nine startups in the fourth class of the accelerator are working to solve problems related to patient consent, medical equipment tracking and more.

The Cedars-Sinai accelerator, which is powered by Techstars, has unveiled its fourth class of health tech startups. The nine companies chosen for the three-month program are using technology to solve a variety of healthcare’s problems, particularly those related to the patient experience.

The announcement comes after Anne Wellington was named the managing director of the accelerator earlier this year. Previously, she served as a mentor and entrepreneur-in-residence for Techstars. Her appointment followed the departure of Omkar Kulkarni, the former director, who became the first chief innovation officer for Children’s Hospital of Los Angeles.

Here are the nine startups that are part of the accelerator’s fourth cohort.

ALIS Health is helping providers by simplifying the process of ordering diagnostic testing for patients. First focused on women’s health and genetic testing, it not only offers suggestions for proper testing but also connects clinicians to labs to complete the tests.

CardioCube offers voice-based artificial intelligence in the form of an interactive platform that helps patients manage their chronic heart disease. It then shares the patient-reported symptoms with the individual’s healthcare provider.

To assist hospitals in tracking medical devices and equipment, Digital Medical Tech has developed a real-time location system. Its platform relies on Bluetooth technology, and health systems don’t have to scan barcodes to track their supplies.

KelaHealth, which also participated in Healthbox Studio’s 2017 cohort, brings together patient-specific information and machine learning to help predict possible surgical complications. It also gives surgeons recommendations regarding reducing risks.

MedPilot couples data science with behavioral targeting to help health systems find the best approach to customize billing and collections strategies. The business, which closed a seed round in 2016, relies on data from patient demographics and payment history.

Nicolette seeks to assist parents of babies in the neonatal intensive care unit. Its solution gives them up-to-date clinical data as well as educational material about their infant and his or her care plan.

Relatable aids providers in analyzing and managing their medical products. Its database helps them locate information about the products they utilize, then compare them to similar options.

In an effort to help doctors focus more on their patients, Sopris has developed an AI medical scribe app. The tool relies on voice recognition, natural language processing and machine learning to translate physician-patient interactions.

SureConsent‘s goal is to present patient consent information and forms in a user-friendly format via interactive videos. Additionally, the company utilizes electronic signatures to manage patients’ finished forms.

Photo: DrAfter123, Getty Images

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