DigiCARE Realized

Digi Care Realized

Hospital & Health Care, 720 Eskenazi Avenue, polis, Indiana, 46202, United States, 1-10 Employees

digicarerealized.com

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Who is DIGICARE REALIZED

DigiCARE Realized is an emerging AI-technology firm commercializing evidence-based solutions to modernize care for complex brain disease through decision intelligence in early detection a...

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  • 720 Eskenazi Avenue, Indianapolis, Indiana, 46202, United States Headquarters: 720 Eskenazi Avenue, Indianapolis, Indiana, 46202, United States
  • 2022 Date Founded: 2022
  • 1-10 Employees: 1-10
  • dollar-icon Revenue: $250 Million to $500 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Hospital & Health Care

SIC SIC Code: 8011

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DigiCARE Realized Org Chart and Mapping

Employees

Malaz Boustani

Chief Health Officer and Co-Founder

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Frequently Asked Questions Regarding DigiCARE Realized

Answer: DigiCARE Realized's headquarters are located at 720 Eskenazi Avenue, polis, Indiana, 46202, United States

Answer: DigiCARE Realized's phone number is +13*********

Answer: DigiCARE Realized's official website is https://digicarerealized.com

Answer: DigiCARE Realized's revenue is $250 Million to $500 Million

Answer: DigiCARE Realized's SIC: 8011

Answer: DigiCARE Realized has 1-10 employees

Answer: DigiCARE Realized is in Hospital & Health Care

Answer: DigiCARE Realized contact info: Phone number: +13********* Website: https://digicarerealized.com

Answer: DigiCARE Realized is an emerging AI-technology firm commercializing evidence-based solutions to modernize care for complex brain disease through decision intelligence in early detection and care management. Our initial focus is in Alzheimers disease and related dementia (ADRD) where we seek to realize equitable, accessible, and patient-centered care. We collaborate with health systems to deliver routine brain care for our growing, aging population. DigiCARE Realized offers an AI-enabled platform for delivering decision intelligence to support proactive care in ADRD. Machine learning advancements, like decision intelligence, automate processing of vast data sources to deliver faster, actionable insights for providers. Our flagship product is based on a core principle that if you can measure it, you can manage it. Early detection offers the opportunity for timely diagnosis leading to more proactive care. We aim to develop and curate care management solutions. Powered by machine learning, our software provides passive ADRD detection with ~80% performance accuracy for 1- and 3-year prediction horizons. It combs through routinely-collected data found in patient health records to sort through structured and unstructured data. Our flagship product can help detect early-stage ADRD in all patients, regardless of what language they speak, how little time their provider has, or what kind of screening approach is selected that day. When health systems can detect early-stage ADRD in patients, they can give them better care. Providers can offer interventions sooner, they can prevent hospital readmissions, and they can accelerate participation in clinical trials.

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