The AI Promise
Approx.
USD 150
BILLION
ANNUAL SAVINGS fOR THE US HEALTHCARE ECONOMY BY 2026
Robot Assisted Surgery**
Can lead to 21% reduction in patients’ length of stay in the hospital following surgery
Virtual Nursing Assistants
Could save 20% of the time nurses spend on patient maintenance tasks
Administrative Workflow Assistance
AI-based technologies, such as voice-to-text transcription, can improve administrative workflows and eliminate time-consuming non-patient-care activities, such as writing chart notes, filling prescriptions, and ordering tests
Fraud Detection
By improving the speed and accuracy of fraud detection in Medicare claims.
Dosage Error Reduction
Connected Machines
AI can help design more efficient IoT networks, ensuring there’s enough capacity without overbuilding and enhancing security.
Clinical Trial Participant Identifier
Preliminary & Automated Image Diagnosis
Radiologists using AI can spot details that escape the human eye.
*Preliminary(5bn), Automated(3bn)
Cyber Security
Could create USD 2 billion in annual savings by reducing health record breaches which can cost around USD 380 per patient record
Napier’s data approach – An Overview
Napier endeavours to enhance its solutions by providing insight into the data using:
Artificial Intelligence
Deployed – where deep learning can be deployed to train models over a period of time and generate predictions.
Examples include epidemic prediction, clinical and administrative risk predictor and alerts on impending quality issues
Artificial Intelligence
Used – where analytics and insights are drawn from codifying knowledge; instances such as fraud detection and bill rejection.
Decisions made by business managers who need to analyze past data and make better data-driven decisions
Napier Artificial Intelligence …on the move
Pneumonia Screening Accelerator
Napier has trained a classification model to accelerate screening of Pneumonia from chest X-ray data. Ability to predict 8 out of 10 cases accurately
iEMR – turning Physician conversations into action
Order entry, capture EMR data using conversations during consultations.
Increased face time with the patients.
Can be used to highlight poor prognosis indicators in patients presenting with symptoms of COVID illness.
Napier Assistant (NA)
Is designed to turn conversation (speech) into meaningful action thereby saving time for the user Drives user productivity, better patient experience and overall cost reduction
Predicting The Length Of Stay (PLOS)
Length of stay (LoS) prediction is an important metric of inpatient costs Establishes appropriate healthcare planning and resource allocation necessary for hospital operation while minimizing the cost of healthcare. Data can be used further for treatment plans and predicting bill estimates.
Sepsis Predictor For Patients
Screening tool to assess patient’s risk of developing sepsis or septic shock. Alerts assist in providing timely intervention to save lives
The Pandemic Response Solution
Discovery
Population Health
Analytics
Heat maps
Uses unstructured data
Mitigate
Surveillance
Contact Tracing
Movement management like SHN,
Quarantine
Treat
Care Management
Sepsis, PLOS, Pneumonia, Fraud detection etc.
Virtual Care
AI has the potential to help us tackle the pressing issues raised by pandemic.
: THE CHATBOT FOR ALL NEEDS
- Designed to turn conversations (speech) into meaningful actions.
- It is an interactive tool based on decision tree approach that responds based on predefined queries, performs tasks based on speech inputs.
- Designed for patients, doctors, nursing staff and administrators.
- Improves patient experience and increases productivity immediately
- The key use cases include patient triage, appointments, vitals, responding to queries, bill amounts due, bill and bed status updates
- User friendly dashboard provides a summary of all the transactions in a session, the results, number of users and the turnaround time for each transaction
iEMR (Interactive EMR)
- AI driven EMR based on human speech that assists physicians in data entry increasing valuable face time with the patients. This can be expanded to aid medical decision making.
- The model listens to voice command, understands intent and can Search or Display data and Complete action.
- Can enter orders and capture EMR data based on natural conversations during consultations.
- Primarily targeted at doctors but can be extended to other clinical staff too
- Can be used as an independent application or can be integrated into any other application
- iEMR can be used to highlight poor prognosis indicators in patients presenting with symptoms of COVID 19 illness.