Speed up Product Innovation, revolutionize Commercial Operations, and prioritize Patient-Centric Experiences
Before the COVID-19 pandemic, government agencies and healthcare institutions were aware of the need to update their systems and operations to better serve their communities. However, the crisis created a turning point as existing vulnerabilities were magnified. Institutions' leaders responded quickly to support constituents and incorporate resilience into their operating models. Upgrades that were previously postponed became essential to fulfilling their mission.
- Electronic Health Records (EHRs): EHRs enable the digital collection, storage, and sharing of patient health information, which can improve care coordination, reduce errors, and enhance patient safety
- Telemedicine: Telemedicine allows patients to connect with healthcare providers remotely, which can improve access to care, reduce costs, and enhance patient convenience
- Wearables and mHealth apps: Wearables and mHealth apps can help patients monitor their health and provide valuable data to healthcare providers, enabling better disease management and prevention
- Artificial Intelligence (AI) and Machine Learning (ML): AI and ML can be used to analyze vast amounts of healthcare data and generate insights that can inform diagnosis, treatment, and drug discovery efforts
- Virtual Clinical Trials: Virtual clinical trials leverage digital technologies to enable remote patient monitoring and data collection, which can reduce costs, increase patient enrollment, and accelerate the drug development process
- Precision Medicine: Precision medicine uses data and analytics to identify patient subpopulations that may benefit from specific treatments or interventions, enabling more personalized and precise care
Locuz helping you Discover, Innovate, Collaborate at a Higher Pace
We offer a unique combination of advanced technology solutions to help you drive impactful change, services to digitally transform organizations, and the ability to implement at scale, with the support of a trusted partner.
Heighten Security and Compliance
The future of healthcare is being driven by innovation and digital transformation, with a heightened focus on open-standards interoperability and distributed ecosystems, making cybersecurity a critical concern in healthcare and life sciences, where sensitive patient data and confidential research information are at risk of theft or cyber-attacks
When it comes to security in healthcare, it’s clear that uncertainty has become the new normal. Many organizations are not sure how to identify and manage digital risks in the ever-changing threat landscape, and their current risk management strategies just can’t keep up.
Locuz can help you with
- Data Protection: Healthcare organizations and life sciences companies need to protect their data by employing encryption, access controls, and secure data storage
- Network Security: Secure network infrastructure is essential for ensuring that patient data and research information are not intercepted or compromised. This includes secure Wi-Fi access, firewalls, intrusion detection, and prevention systems
- User Authentication: Healthcare organizations and life sciences companies must ensure that only authorized individuals can access sensitive data by employing secure user authentication protocols and two-factor authentication
- Compliance: The healthcare and life sciences industries must comply with regulations such as HIPAA, GDPR, and other industry-specific standards that require companies to maintain strong data security practices
- Incident Response: Companies must have an incident response plan that outlines steps to take in the event of a cyber-attack or data breach
For one of the world’s largest Generic Pharmaceutical companies, Locuz partnered with them for Security Advisory and Consulting Services, Security Posture Assessment Services, as well as Network Security & Risk Assessment Services. We helped them improve their Network agility, efficiency, and responsiveness, enhance their security controls and risk mitigation plan, reduced their business and compliance risk and provisioned them with a Security roadmap for the future.
Transform with Hybrid Cloud Models
The healthcare and life sciences industries are increasingly utilizing cloud technology to improve efficiency, accessibility, and collaboration while reducing costs.
Locuz can help you with
- Data Storage: Cloud technology can be used to store and manage large volumes of data, including electronic health records, medical images, and research data. This enables healthcare providers and researchers to access and share data securely from any location
- Telehealth: Cloud-based telehealth platforms enable patients to connect with healthcare providers remotely, improving access to care and reducing the need for in-person visits
- Research Collaboration: Cloud technology can facilitate collaboration between researchers from different institutions and locations, enabling them to share data, tools, and resources
- Disaster Recovery: Cloud technology can be used to create backup copies of critical data and applications, ensuring that healthcare services can continue in the event of a disaster or outage
- Cost Savings: By using cloud services, healthcare providers and life sciences companies can avoid the high capital expenditures associated with building and maintaining their own data centers
Locuz partnered with a US based company that developed healthcare web-based applications, to do a seamless migration of their Core App and Infrastructure on to AWS at the lowest TCO along with providing them with 24/7 Cloud Managed Services.
High Performance Computing (HPC) Reducing Your Research Time
High Performance Computing (HPC) allows scientists and engineers to solve complex, compute-intensive problems. HPC applications often require high network performance, fast storage, and large amounts of memory, very high compute capabilities, or all of these. Utilize high performance computation (HPC) clusters in minutes and scale capacity quickly to avoid research bottlenecks caused by resource limitations.
Locuz can help you with
- Genomics: HPC is being used to analyze large genomic datasets, enabling researchers to better understand genetic variations and their impact on disease, as well as to develop personalized treatment plans for patients
- Drug Discovery: HPC is being used to model and simulate the behavior of drugs and their interactions with target molecules, helping to accelerate the drug discovery process and reduce the cost and time required for clinical trials
- Medical Imaging: HPC is being used to process and analyze large medical imaging datasets, enabling more accurate diagnosis and treatment planning
- Precision Medicine: HPC is being used to develop sophisticated computational models that enable clinicians to predict treatment outcomes and tailor treatment plans to individual patients
- Public Health: HPC is being used to model disease outbreaks, track the spread of infectious diseases, and develop predictive models for public health interventions
For a medical institute focusing on mental health and neuroscience, we used HPC on AWS for Surface based Masometric Analysis to help Healthy Brain Development Research. We helped them not just be effective, automating to speed their HPC clusters, but also reduced the job run time by 14X.
Unlock the Value of Data
Leaders in healthcare & life sciences are recognizing the value of their data and leveraging it to drive digital transformation. The ability to swiftly adapt to crises has emphasized the importance of secure data storage, collection, and organization, as well as the ability to promote interoperability and breaking down data silos across the enterprise.
Locuz can help you with
Locuz can help you with
- Predictive Analytics: Predictive analytics can be used to identify patients who are at risk of developing specific conditions, enabling proactive interventions and preventative care
- Clinical Decision Support: Data analytics can provide clinicians with insights and recommendations to support clinical decision-making, such as identifying the most effective treatments for specific patients
- Population Health Management: Population health management leverages data analytics to identify health trends and risks within specific populations, enabling proactive interventions and preventative care
- Drug Development: Data analytics can support drug development efforts by identifying potential drug targets and optimizing clinical trial designs
- Patient Engagement: Data analytics can provide insights into patient behavior and preferences, enabling healthcare providers to deliver more personalized and engaging care
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