Reinventing Healthcare With AI

Patient Risk Identification

• By analyzing vast amounts of historical patient data, AI-based tailored patient risk management solutions can provide real-time support to clinicians to help identify at-risk patients.
• A current focal point includes readmission risks and highlighting patients that have an increased chance of returning to the hospital within 30 days of discharge.
• Leveraging the data in the patient’s EHR to analyze, identify and target impact areas, using a proprietary machine learning tool and unique know-how to build fully customized risk prediction tool.

Claims Processing

• AI-based custom claims processing to replace paper-based claims management workflow for workflow automation.
• Smart audit algorithms to enable reliable identification of incorrect medical claims.
• Integrated with an insurance claim anti-fraud solutions not only for claims processing optimization, but also decrease the number of fraudulent claims.
• NLP to streamline claims processing tasks, such as easy overpayment recovery, payment accuracy, dynamic reporting and agile workflow management.

• Leveraging the power of AI and NLP to create custom physician document management solutions that bring powerful improvements in value-based care delivery.
• Gain valuable insights at the point of care to improve severity-adjusted quality scores and care management by recognizing reimbursement and risk adjustment factors.
• Identify the missing or vague data by using deep learning and NLP to analyze relevant patient notes and determining specific clinical indicators in an EMR.

Practice Management

• Made-to-order AI-based practice management solution to efficiently manage patient appointments, patient queues, patient billing, inventory and lab orders.
• Artificial intelligence to streamline paperless consultation and prescription & procedures, while managing Electronic Medical Records (EMRs) for your patients.
• Easy-to-setup automated communications with inbuilt analytics, and reporting tools to gather valuable insights on clinical practice.

Radiology Data Management

• A customized inbuilt system that prioritizes cases based on protocol requirement, such as cases of trauma, stroke, etc.
• Customizable, integrated, and AI-powered RIS/PACS platform to help radiologists review the cases automatically in real time.
• Robust data mining capabilities that auto-detect specific pathology in various conditions of liver, lung, bone and cardiovascular disease, etc. to bring efficiency in reading and reporting workflow.

Medical Device Data Analytics

• AI-powered custom medical device data analytics to offer insight into not only the efficiency of devices, but also the clinical operations.
• Potential to deliver data-driven, relevant and reliable value propositions that satisfy the customer requirements.
• Data analytics based on machine learning, intuitive visualizations, and decision support tools to enhance diagnostic accuracy.

Pharmacovigilance

• Our AI-powered pharmacovigilance solutions enhances cognitive automation with state-of-the-art visualization framework.
• OSP Labs's next generation Pharmacovigilance, based on AI, enables end-to-end case processing with Robotic Process Automation.
• Decreasing the cost of case reporting and improving data quality to allow signal detection in drug safety, pharmacovigilance analytics, and benefit-risk assessment.
• Repetitive and routine manual tasks, such as adverse event case reporting, can be automated and tackled by AI in a very sophisticated and seamless way.

Drug Discovery

• Assimilate data from multiple sources and run instant visualizations to identify the possible drug structures with diverse essential features and make predictions.
• Algorithms are developed to uncover the sequencing of patient data, drug-protein interaction and interpret chemical structures.
• Helps in the aggregation and analysis of biomedical information, improved decision-making, form and quality hypotheses and analysis of medical records to find patients for clinical trials.
• Big data analytics also contributes to better drug efficiency and safety for regulators and pharmaceutical companies.

Precision Medicine

• Enable scientists to source scientific findings and insights to formulate disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle.
• AI-based custom precision medicine solutions offer a new computational pipeline to translate preclinical results in multiple models for accurate clinical outcomes.
• Easy-to-integrate and harmonize precision genomic, clinical and lifestyle data that is critical to clinical implementation and research enablement.
• Provides access to this knowledge via meaningful machine learning, in the context of the clinical condition.

Health Monitoring Devices

• AI-based and integrated custom remote health monitoring devices to record patient's physiological data, to estimate a patient's clinical status and progress.
• Continuous clinical data capture from wearables and medical devices with integrated AI platform that used machine learning to measure symptoms and quantify the effects of administered health treatment.
• Incorporates various DSP and statistical methods with a rule-based decision system to detect abnormal situations, provide preparatory interpretation and diagnosis assistance.

Medical Imaging

• AI-based medical imaging solutions to analyze imaging and correlated clinical records and create high-performance algorithms that automatically detect medical conditions faster.
• Receives imaging scans from various modalities and automatically analyzes them for many different clinical findings.
• Proprietary database of millions of imaging scans, along with AI-based tools, to analyze data in real time with human-level accuracy.