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What is Tissue Analytics?

Our cutting-edge platform revolutionizes the methods used for patient measurements, analyses, and treatments. By implementing Tissue Analytics, you can achieve a remarkable measurement accuracy with errors dropping to under 4%, a drastic improvement compared to the 44% errors prevalent with conventional ruler techniques. This innovative technology simplifies documentation, allowing clinicians to save between 5 to 10 minutes per patient, which can add up to at least 2.5 hours of saved charting time daily. Tissue Analytics not only automates wound size measurements but also effortlessly uploads both images and data directly into the electronic medical record (EMR), creating a thorough longitudinal record along with detailed tissue composition information. This empowers healthcare professionals to make more educated treatment decisions. Clinicians will notice streamlined workflows, and we guarantee that nurses, clinicians, and administrators will see improved outcomes. Additionally, while many existing EMR workflows often do not meet the demands of busy healthcare providers, Tissue Analytics successfully tackles these challenges, fostering increased patient engagement. Our wound management platform not only boosts efficiency and conserves valuable time and resources for your practice but also integrates seamlessly with all leading EMR systems, ensuring a smooth transition and enhanced operational capabilities. Furthermore, adopting Tissue Analytics allows healthcare professionals to dedicate more time to patient care, alleviating the burden of administrative tasks and ultimately leading to a more effective healthcare experience.

What is DocNow?

DocNow is an innovative platform for electronic health records and clinical workflows that harnesses the power of AI to specifically serve post-acute care providers, such as skilled nursing facilities, long-term care services, and home health organizations. This state-of-the-art solution integrates patient documentation, clinical processes, and administrative functions into a unified system, empowering healthcare providers to handle patient records more effectively while significantly reducing the need for manual charting and administrative tasks. By employing cutting-edge technologies like machine learning, robotic process automation, voice recognition, and natural language processing, it optimizes healthcare documentation workflows, improves patient record management, and makes the transition from dictation to note-taking more seamless. Clinicians enjoy an interface designed by healthcare experts, which facilitates easy access to patient data, the generation of clinical notes, charge capture, and report creation that mirrors real-life clinical environments. Additionally, the design of DocNow caters to the unique needs of healthcare providers, ensuring that their operational efficiency is maximized while also enhancing the quality of care that patients receive. Ultimately, this comprehensive approach not only streamlines workflows but also fosters a more collaborative and efficient healthcare ecosystem.

Media

Media

Integrations Supported

Net Health Wound Care
athenaClinicals

Integrations Supported

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Tissue Analytics

Company Location

United States

Company Website

www.tissue-analytics.com

Company Facts

Organization Name

DocNow

Date Founded

2017

Company Location

United States

Company Website

docnow.ai/

Categories and Features

Disease Management

Not specified

Wound Care

Not specified

Categories and Features

e-Prescribing

Not specified

Telemedicine

Not specified

Wound Care

Not specified

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