Healthcare

We use best practices to transform user experiences in healthcare, balancing the needs of patients, doctors, nurses, providers, hospitals, staff and other users.

• Medical app UI design with intuitive touch gestures and seamless UX
• Custom, advanced healthcare app designs with easy access to critical healthcare data and management functionalities.
• Powerful dashboard UI designs to get the most out of healthcare analytics and healthcare data visualization.
• Simplified UI/UX to save time on activities such as searching medical records and increase efficiency on activities such as emergency dispatch.

With digital product designs, we create efficiencies in healthcare products, systems and services to deliver better healthcare outcomes.

• Design strategy and road mapping to different user journeys
• Product designs to seamlessly work in healthcare environments such as radiology labs, operating rooms, etc.
• Intuitive workflows embedded with real-time data flow for doctors, surgeons and staff to make decisions in operating and emergency rooms.
• Future proof product designs with reduced maintenance and revamps
• Enterprise-grade product designs for medical applications used in labs, administration, EHR/EMR, etc.

We help in building a full-fledged web, mobile, desktop and enterprise software to improve healthcare outcomes.

• Administrative software development from practice management to hospital inventory management, CRM and asset tracking.
• Healthcare regulations compliant software development – HIPAA, FDA, CDA, CCD, HL7, EDI, etc.
• Next-gen tech healthcare software development – AR medical apps, IoT based healthcare software, telemedicine and mHealth apps.
• Care delivery/providing software development – custom EMR/EHR based software, patient engagement and monitoring software, Healthcare Analytics, E-Prescribing, Custom Information Exchange systems, etc.

We help care providers to leverage cloud for collaboration and productivity, and DevOps to adopt continuous improvements in care delivery.

• Healthcare data engine setup with real-time data access, integrated data and data interoperability
• Connected and direct to patient healthcare delivery with remote work access to care teams
• Reduced EHR latency and quicker disaster recovery
• Accelerated software delivery with automated change detection cloud and respond quickly to changing healthcare needs.
• Automated continuous monitoring to ensure healthcare products, services and systems are performing at optimal level.

For digital agility, we help hospitals/clinics and care providers modernize their tech stack.

• Modernizing administrative toolkit with APIs to enable custom EHR builds
• Modernizing to tech stack that support analyzing large volumes of big data and embrace AI/ML capabilities
• Migrating to microservices architecture to extend healthcare integrations and create digital touchpoints for medical staff and patients.
• Better manage inflow and outflow of data with real-time access to create value-based healthcare environments
• Domain driven design to reinvent applications usage and deliver superior care outcomes

Data Engineering

With data engineering, we help in eliminating data silos and amalgamate healthcare data sources to make care delivery data-driven and data-informed.

• Eliminating data silos in systems – EHR, care providers ecosystems, government entities, research organizations, etc.
• Comprehensive data overview across patient journey from diagnosis to discharge.
• Enabling data aggregation to transform care provider to deliver value-based care
• Ensuring to deliver data engineering benefits for healthcare – improved diagnosis, better therapy results and reduced readmissions

Big Data

We help in leverage big data to improve the quality of healthcare services and products, and implement data-driven care delivery operations.

• Improved analysis of EHRs to remove duplication in prescribing medicine and diagnosis tests
• Real-time alerts to prevent infections in hospitals and clinics, and provide emergency care
• Evidence-based treatment or medicine for more personalized and informed patient care for chronic conditions
• Improved capabilities for early detection of diseases and critical conditions
• Descriptive recommendations and predictive measures for optimized healthcare and medicine supply chain

Data Science

We help in leveraging data science to adopt advanced data powered capabilities such as:

• Setup of robust descriptive analytical systems to track and assess care delivery goals
• Improved medical image analysis of X-ray, MRI and CT scans
• Predictive models to identify potential risks in a patient’s health condition
• Patient-centered data-driven digital interactions between hospital administration team, nursing staff, consultants/physicians, and patients.
• Operationalizing data governance with effective crisis management
• Creating engaging digital programs with data of appointments, treatments, prescriptions and lab work.

Business Intelligence

We help in leveraging business intelligence for better administrative, clinical and lab work performance, and correspondingly deliver improved healthcare outcomes.

• Maximized transparency into financial planning to address core challenges in fraud and payment issues
• Performance dashboards which unveil care delivery inefficiencies in operations and administration
• Patient satisfaction trends and forecast in-patient number for proactive measures
• Patient past medical history patterns to improve physician consultation and diagnosis
• Identify patterns in patient and staff concerns to improve care

Machine Learning

We help in leveraging machine learning for accelerated and improved R&D, drug development, clinical trials and supply chain.

• Clinical trial recruitment – identify ideal candidates for clinical trials
• Predictive modelling for drug toxicity
• Machine Learning based trial design and drug development. Example: ADC (antibody-drug conjugates) biomaker signatures.
• Predicting pharmacological properties of drugs and drug repurposing
• Manufacturing optimization – production efficiency, statistical analysis, risk assessment and quality management

Deep Learning

We help in leveraging deep learning that encompasses deep neural networks to achieve breakthroughs in healthcare.

• Large scale analysis of genes and drugs data to identify key gene for drug resistance and ADC drug payloads.
• Analyzing biological big data with multi-layer machine learning algorithms
• Disease identification, disease tracking and precision modeling of patients
• Comparative drug safety analysis in Pharmacovigilance
• Informed clinical decision making with regulatory actions for compliance

NLP

We help in harnessing the power of NLP to extract findings from healthcare research documents and other text data.

• Healthcare and pharma knowledge graphs
• Adverse drug event (ADE) detection and reporting
• Studying Adverse drug reactions (ADRs)
• Explore drug labelling data for regulatory and safety affairs
• Extract findings from drug and clinical research documents
• Social listening to aid drug safety research
• NLP text mining to build models to identify novel drug targets, drug compounds and competitor analysis.

Computer Vision

We help in leveraging computer vision algorithms to automate image and video analysis to improve end-to-end drug lifecycle.

• Smart drug manufacturing with automated AI-powered inspections
• Predictive maintenance of equipment in laboratories, factories, etc.
• Smart healthcare and pharma supply chain monitoring
• Identify small changes in cells during cancer drug research
• Molecular modeling to reshape the drug development pipeline
• Computer vision powered drug design helps in regulatory compliance assistance for new molecules

Chatbots

We help in deploying AI-powered assistants trained in healthcare and pharma to aid researchers, regulatory team and management in day-to-day activities.

• Identifying relationships between entities in biotechnology, pharma and pharmacovigilance data
• Collecting the latest news on drug trials, drug approvals, etc.
• Accelerate pre-clinical report analysis
• Analyze safety signals in pharmacovigilance
• Customized AI-powered assistants for specific roles such as regulatory review, comparative analysis, conflict analysis, etc.

We help in adopting intelligent automation to leverage flexibility and speed in lab work, research, and drug development.

• Automated ADE detection with pre-trained NLP models and pipelines
• Automated regulator operations and corporate operations
• Automated clinical trial management from data entry to trial reports generation
• Automated inventory management from shipment tracking to notifying drug expiry

We help in leveraging real-time data generated by IoT for drug discovery, manufacturing and commercialization.

• Real-time monitoring manufacturing quality and equipment for streamlined performance
• Forecast demand for supply chain continuity
• Better supply chain management using smart sensors for warehousing and routing of drugs
• Real-time data insights on drug effectiveness, drug safety and regulatory compliance

We help in adopting blockchain streamline and optimize digitized critical life sciences business operations on a decentralized network.

• End-to-end drug traceability prevents drug counterfeit
• Fraud prevention in clinical trials
• Robust IP protection with research data uploaded onto blockchain
• Preventing drug shortages with untampered records for supply chain monitoring. Especially, cold chain monitoring in biopharma.
• Reverse logistics for expired drug disposal

5G networks for faster and accurate clinical trials data transfer for decentralized clinical trials.

5G will boost Internet of Medical Things (IoMT)

5G reduces the times to process lab results from laboratories

Edge computing reduces latency and cost on data management, increases up-time, enhances data privacy across functions in life sciences.