HEALTH CARE

Improve patient outcomes, while providing cost-effective care, with a digital network for a new, consumer-centric healthcare ecosystem. Enable real-time information sharing between care providers and patients. Support more personalized patient interaction, from prevention to diagnosis and treatment.

In a faster forward world, healthcare science industries operate differently. Companies collaborate globally on drug development; physicians turn to portals and customers to their mobile devices for information on drugs, diagnostics and more. Providers host health records online, and clinicians capture data through web-based applications from research organizations. Employees collaborate with peers and partners in online workspaces.

User expectations for website and mobile performance are exceedingly high. They want rich, dynamic content and online research spaces that are as fast and easy as consumer marketplaces. Applications, whether hosted internally or in the cloud, now need to be delivered globally and for any device type. CODEM optimizes web experiences and applications keeping them fast and reliable on any device, anywhere in the world.

As medical applications and information move increasingly to the public Internet, security concerns grow. Organizations must protect their web-based applications to address regulatory compliance, safeguard private information, secure wireless medical device data and prevent system attacks.

The CODEM Intelligent Platform™ protects healthcare and life science companies from DDoS attacks, SQL injections and data breaches. Our ‘always on’ protection is delivered far from your data centre at the edges of the Internet to keep data safe, user engagement consistent and performance high.

An aging population, reimbursement challenges and growing consumerization demand that healthcare providers change their technology strategy in order to get more out of their IT investments.

Consumers can now take advantage of the growing network of immediate access choices with the rise of retail, virtual and on-demand options. Additionally, the industry is seeing a substantial increase in patients aging into Medicare, when Medicare is steadily transitioning to reimbursing care based on the quality, not quantity of treatment.

It’s time that healthcare providers start doing things that for-profit, consumer-oriented, marketing companies have always done. They must focus on convenience, affordability and delivering a superior patient experience.

We help organizations in all industries design and deliver technology solutions that make them more efficient and competitive. From idea to outcome, we work with you to improve the aspects of care that are most important. Whether you want to enhance your patient experience through patient and clinician mobility, update your network to boost security, virtualize servers and desktops to lower IT overhead or apply big data analytics to patient health.

Healthcare Evolves with Big Data Healthcare organizations are being inundated by Big Data that includes structured and unstructured data from an array of sources, including electronic health and medical records, computerized physician order entry, clinical decision support systems, medical sensors, accounting systems and more. Rather than being overwhelmed by Big Data, it’s time for healthcare agencies to take advantage of the volume, velocity and variety of data from internal and external sources. By unifying dispersed data sets and applying advanced analytics, healthcare organizations have the opportunity to improve medical outcomes, lower costs and inform strategic planning. Find out how forward-thinking healthcare agencies are transforming and unlocking key insights from Big Data in the following healthcare specific use cases.

Healthcare organizations can use analytics to predict which patients are at risk of non-compliance with clinical guidelines for treatable conditions like diabetes or osteoporosis, which improves medical outcomes, reduces hospitalization and boosts HEDIS scores. How: Build predictive variables from clinical, financial and behavioural data; apply a range of segmentation and regression models.

Using Big Data analytic models to forecast patient visits and accurately predict changes in census, hospitals can avoid overstaffing, improve staffing flexibility with real-time updates and lower overall staffing costs without sacrificing patient care.

By using pattern matching to find possible excess charges and prioritizing bills for review before payments, healthcare payers can avoid overpayment and detect questionable charges, avoiding pay and chase.

Healthcare organizations can use clinical, financial and demographic data to micro segment the market for preventative and elective procedures or even systematically choose sites for planned expansion – with enriched datasets and non-linear, multivariate predictive analytic models.