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Life Sciences Technology Solutions
Navigating the Digital Transformation of Life Sciences for Sustainable Growth
Transforming Life Sciences to Meet Rising Costs, Changing Patient Needs, and Improved R&D
Overcoming the Biggest Challenges of Life Sciences
Costly Care Provision
Ineffective Patient Coordination
Poor Data Management
Low Drug Quality
Enhancing Patient Engagement and Improving Clinical Operations for Greater Scientific Innovation
Generating Business Value Across Industries
Enterprise solutions that provide real-time, actionable insights.
Enabling Chief Medical Officers to Bridge Gap Between Workforce and Patients
AI-powered chatbots and virtual assistants can help bridge the gap between the rising demand for healthcare services and the limited number of healthcare providers. These can provide patients basic medical advice, triage, and other non-emergency services. It can also save valuable time for healthcare providers, allowing them to focus on more complex cases and ensuring that patients timely receive the care they need.
Helping CDOs & CTOs Manage Healthcare Data with Authority Through AI/ML
Leveraging AI and ML algorithms can help healthcare providers make sense of this vast amount of data, providing insights into patient outcomes, identifying patterns and trends, informing diagnosis and treatment recommendations, and managing the data better. These technologies can analyze large datasets of patient records, medical images, and genomic data to make these predictions and recommendations.
Assisting CIOs to Access Computing Resources & Control Hardware Costs for Faster Decision Making
The advancements in computing power and declining hardware costs have opened new possibilities in the healthcare industry. High-performance computing clusters can run complex simulations and model diseases, drug interactions, and clinical trials. This can enable healthcare providers to make faster and more accurate decisions, leading to better patient outcomes.
Making Healthcare Costs Easy-to-Manage for COOs
Developing AI-powered algorithms can help healthcare providers optimize resource allocation, reduce waste, and improve operational efficiency in hospitals and healthcare systems. This can help reduce costs while improving the quality of care for patients. AI-powered algorithms can analyze data from various sources, including patient records and supply chain data, to identify zones where costs can be reduced without sacrificing patient care.
Ensuring Improved Partnerships & Collaborations
Collaboration and data sharing across multiple organizations are increasingly important in today's healthcare industry. Establishing collaborative data-sharing platforms and networks can enable seamless data exchange and analysis across hospitals, research institutes, and pharmaceutical companies. This can accelerate research, improve treatment outcomes, and help identify new approaches to healthcare challenges.
Expediting Drug & Vaccine Development Process for Pharma & Biotech Companies
Developing new drugs or vaccines is time-consuming and costly for pharmaceutical and biotech companies. The use of AI technology can help expedite the drug discovery and development process. AI-powered algorithms can identify potential drug targets, predict drug efficacy and safety, and optimize clinical trial design, leading to faster drug development timelines and better patient outcomes.
Developing a “digital companion” to save lives
A healthcare consortium’s cardiologists needed data such as electrocardiogram (ECG) readings or blood pressure measurements collected over weeks, months, or even longer.
The prototype solution was based on the Internet of Things (IoT). The system captures and sends data from a patient’s fitness band or tiny wearable sensors to the cloud.
There, IoT and other services transform disparate medical data into easy-to-read summative dashboards and key performance indicators (KPIs), which users and their physicians can view from a mobile app or a web portal.
Through this solution, the consortium was able to increase the potential to save precious lives, lower healthcare costs, and provide needed care in remote and underdeveloped regions.
Saving lives and money for 10 million patients with machine learning
This healthcare service provider was looking for a smart system to help predict high-risk patients in order to intervene through preventive healthcare, optimize care quality, and reduce the cost and variance of care delivery across the network.
With operational analytics and machine learning, the organization developed a chronic disease management program that could more effectively treat patients with chronic diseases.
Thanks to the new system, the organization was able to improve care decisions for each patient thanks to real-time evidence, lower hospitalization, and work absenteeism for chronic disease patients, and reduce costs for chronic disease patients by 60 percent.
Enabled easy interaction of physicians with each other and patients from anywhere using virtual health
A multi-specialty physician’s group needed an efficient way for staff to communicate with each other and patients and were also looking for opportunities to streamline workflow.
The solution uses cloud-based video conferencing to enable virtual health services that connect clinicians, patients, care teams, and health professionals to provide health services, promote professional collaboration, support self-management, and coordinate care across the care continuum.
- Streamlined patient workflow
- Telecollaboration among staff
- Provide online training to staff
- Easy sharing of expertise and files anytime
Built in the cloud and made for the future
Clinicians had to log onto up to eight separate information systems to access the data they needed. Patient information was not integrated between different clinical areas, resulting in a disjointed view of the patient journey and a higher risk of errors. Patient records were held in paper storage, making it difficult for patients to access them.
The solution stores and manages digital records in the cloud and produces a single view of each patient. The organization has also integrated many other core applications, and now supports tablets to enable clinical teams to access data from anywhere.
- Patients can view digital records from anywhere, communicate with the staff, and feel more empowered and in control.
- Time-consuming processes are now automated.
- Staff’s instant mobile access to information and the ability to diagnose and predict based on data is helping improve patient outcomes, reducing the risk of error, and enhancing efficiency.
Are you looking to accelerate digital innovation and ensure faster research and development, ensuring comprehensive data privacy and security along with unrivaled efficiency for your healthcare organization?
Our solutions for the healthcare and life sciences industry unlock the future of your organization.