Invoices are the lifeblood of any business, containing a wealth of crucial information like customer and vendor details, order specifics, pricing, and taxes. The catch? Extracting data from invoices and matching this data from invoices to other documents can be … Read More
HealthCare and LifeSciences
Healthcare and Lifesciences
Artificial Intelligence is revolutionizing Health and Life Sciences by enhancing diagnostics, drug discovery, personalized treatment, and patient care. From predictive analytics to image analysis, Recosense AI's potential to analyze large amounts of unstructured data (patient records, medical journals, and research articles) will transform the healthcare and life science sector.
RecoSense - Content Intelligence for Aviation
Invoice Processing
Swiftly process invoices with high accuracy. Hospitals and clinics can easily manage payments for services, medications, and equipment.
Patient Reports
With RecoSense AI, doctors can efficiently generate and analyze patient reports, allowing them to make well-informed decisions about treatments and track the progress of their patients more effectively.
Patient Admissions
Streamline the patient admission process.
Allocate rooms, schedule procedures, and ensure prompt services to patients
Compliance Management
Adhere to regulations and standards by
automatically monitoring and flagging any deviations or potential issues, ensuring a higher level of patient safety and data privacy.
MRI Acceleration
Advanced computer vision and character identifications enhance the speed and the quality of information extracted from MRI scans leading to quicker diagnoses and improved patient experience.
Patient ID
Secure patient identification, ensuring accurate records and preventing confusion or mix-ups between patients. Provide the right care to the right person.
Medical Forms
Automate the medical forms filling process based on the extracted data. The AI can even assist in automatically populating form fields across all departments and reduce human efforts.
Referral Management
Efficiently track and manage patient referrals to specialists. Ensure that patients receive timely consultations and collaborate better among different healthcare providers.
Medical Claim Automation
Simplify and accelerate the process of filing medical claims with insurance companies. Minimize the paperwork and administrative hassles for both healthcare providers and patients.
Health Records
Patient health records are maintained digitally so that patient history and data are readily available for healthcare professionals and help them make informed decisions about treatments.
Use Cases
Clinical Assertion Model
Helps doctors and medical professionals determine whether a statement in a patient's medical records is positive, negative, or uncertain. For instance, it can help identify if a symptom is present or not based on the notes in the records.
Clinical Deidentification Model
This model protects patient privacy by removing or masking personal information from medical records. It ensures that sensitive details like names and addresses are hidden while still allowing healthcare data to be used for analysis and research.
Clinical Entity Resolver
If there are different versions of a patient’s name or medical term found in various records, this model identifies the redundant data and marks them to one single patient’s file. This helps in keeping patient information accurate and coherent.
Clinical Named Entity Recognition General Model
This model identifies and extracts required key entities like names, medications, claim details, etc. from the records. This helps organize and understand medical records better.
Clinical Relation Extraction Model
This AI model looks at medical texts, figures out which terms are related, and helps identify the relationships between different pieces of medical information.
Financial Contract Named Entity Recognition
An NER model trained specifically for financial purposes. It can read and understand contracts related to medical services and insurance. It identifies important bits like payment terms, dates, and financial entities mentioned in the contracts.
Benefits
Auto Extraction with NLQ
Data extraction becomes streamlined through Natural Language Queries (NLQ). Complex data sets are effortlessly analyzed and queried using plain language, yielding precise results for informed decision-making.
Easy Integration
Seamlessly integrate into existing infrastructure, ensuring compatibility and synergy with established systems. This facilitates a smooth adoption process while enhancing the capabilities of current tools.
Reduced manual efforts
Automation capabilities alleviate the burden of repetitive tasks, optimizing resource allocation. This amplifies workforce efficiency, allowing professionals to focus on high-value responsibilities that require human expertise.
Improved Intelligence
Data-driven insights empower strategic decision-making. Its advanced analytics discern patterns, forecast trends, and provide actionable recommendations, augmenting the intellectual capacity of healthcare and life science operations.
Unified Data Platform
All the extracted and processed data are stored in a single unified data platform to ensure easy access to data throughout the healthcare organization.
Smart Search with Natural Language
Natural Language Processing empowers users to articulate queries in everyday language, obtaining accurate and relevant results swiftly, thereby expediting decision-making processes.
Blogs
Using AI and Automation in the Finance Back Office
With the advent of Artificial Intelligence (AI), Machine learning (ML), Natural Language Processing(NLP), and Robotic Process Automation (RPA), businesses can streamline workflows, cut costs, and foster sustainable growth amid market challenges. Despite advancements in enterprise resource planning (ERP) systems, a … Read More
How to Spot Fake Bank Statements
With evolving digital transactions and sophisticated fraud techniques, the need for robust fraud detection mechanisms is equally increasing. One area where this is particularly pertinent is in identifying fake bank statements, a common tool fraudsters use to manipulate financial information. … Read More