Disha Maity MS, RN, BSN

Clinical Informatics Lead at all.health

Disha Maity has a diverse work experience in the healthcare field. Disha is currently working as the Clinical Informatics Lead at all.health since September 2020. Prior to this, they worked as a Registered Nurse at San Francisco General Hospital Foundation, starting in November 2015. Disha also has experience as a Digital Health Informatics Intern at Welldoc, Avhana Health, and Hexcite: Hopkins Medical Accelerator in the year 2020. Disha also worked as a Registered Nurse at UCSF Benioff Children's Hospital Oakland from November 2015 to July 2019. Disha started their career as a Student Nurse Intern at San Francisco General Hospital Foundation in June 2013, where they gained experience in neonatal care. Disha further enhanced their skills in neonatal care during their Senior Preceptorship at Stanford Children's Health | Lucile Packard Children's Hospital Stanford from February 2015 to May 2015. Disha also volunteered at Washington Hospital Healthcare System as a Birthing Center Volunteer from April 2009 to March 2015. Additionally, they had a Nurse Leadership Internship at San Mateo Medical Center in May 2014.

Disha Maity holds a Bachelor's degree in Registered Nursing/Registered Nurse, which they obtained from the University of San Francisco from 2011 to 2015. Disha pursued further education at The Johns Hopkins University, where they obtained a Master of Science degree in Healthcare Informatics from 2019 to 2020.

In addition to their formal education, Disha Maity has obtained certifications to enhance their qualifications. Disha obtained a certification in C.P.R. from the American Heart Association and American Stroke Association in January 2023. Disha has also obtained a Registered Nurse certification from the California Board of Registered Nursing in January 2023.

Location

San Francisco, United States

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all.health

all.health has developed a comprehensive preventative and proactive healthcare platform that combines clinical-grade sensors, machine learning, patient histories, insurance claims data, and other information to provide real-time at-risk screening for several disease conditions; these include acute respiratory infections such as COVID-19, and chronic conditions such as hypertension and diabetes. Contextualized 24/7 data along with clinician input and interventions will then be used to guide positive behavior changes. The premise is to catch various health conditions early and help reverse or manage the negative effects.


Employees

11-50

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