Resources

Artificial Intelligence: Next Frontier for Connected Pharma

With an explosion of digital data - EHRs, genomics, wearables - today's patients are more digitally engaged in their personal care. And the more drug companies know about their patients, the greater the targeting opportunities for precision healthcare including personalized medicines. As a result, the pharma industry is well positioned to derive great benefits from an integrated drug development and manufacturing approach supported by AI.

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Using Big Data to Prevent Infections

Sepsis is a life-threatening condition that arises when the body's response to infection injures its own tissues and organs. Wearable can help detect early indicators of sepsis. Data analytics provides actionable insights into the sepsis infection, intervention and its impact on healthcare outcomes. Analytics track various infection patterns that affect patients and offer actionable insights to the communication of diseases, the surveillance of infection patterns and early indicators of infection.

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The Promise of Big Data in Diabetes Management

Diabetes is the leading cause of many other life-threatening causes like CAD, Nephropathy, etc. Diabetes requires treatment and strategies to control it. Smart technology such as wearable, implants, and mobile applications can be used to track glucose levels, access relevant information, communicate with healthcare providers, and ultimately, guide you in making better decisions.

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Managing Chronic Conditions using Big Data

To reduce chronic disease, Big Data offers healthcare providers actionable insights into high-risk patients offering the opportunity for intervention even when they are asymptomatic. It is essential to have a coordinated, strategic prevention approach that promotes healthy behaviors, expands early detection and diagnosis of disease, supports people of every age, and eliminates health disparities.

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Improving Healthcare and Patient Outcomes Through Connected Devices

The healthcare industry is moving towards a platform that is accessible, affordable, and offers a better quality of life. Integrating connected healthcare wearable offers opportunities for better patient outcomes through monitoring vitals, which allow for early detection, intervention and preventative care while resulting in cost savings to the healthcare organization.

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Creating Sustainable Member Engagement In Healthcare Insurance Market With Data Analytics

Enriching member experience is the first step in creating better, more personalized engagements. Tailored member interactions will help healthcare insurance organizations stand out from the competition, create loyal and happy members and redefine member engagement.

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Use Of Real-Time Analytics In Population Health

Real-time analytics has the potential to provide a level of detail and precision for a population or a segment helping track the relationship between care event, health considerations and the outcomes amongst the segment. Models prepared by real-time healthcare analytics enables healthcare decision makers to develop treatment protocols with a continuous cycle for better outcomes.

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Turning Lemons To Lemonade: Advanced Claims Analytics With Big Data

As payers face the challenges of increased competition and member satisfaction, the ability to execute highly effective claims management has become critical for success. Using big data and advanced analytics platform is an exceptional valuable approach for helping payers improve claim processing to accelerate operational efficiency, contain costs, and enhance member retention and satisfaction.

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Reducing Readmission Rate With Predictive Analytics

Bringing both unstructured and structured data will facilitate personalized and evidence-based medicine for improving patient health. Using advanced analytics in hospitals provides actionable insights into treatment trends and causes for readmission and designing interventions for better after-treatment care.

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How To Achieve Cost Efficiency By Archiving Healthcare Data And Applications

Healthcare organizations are faced with increasing data retention and control requirements. They are further realizing the business value that can be extracted from the historical dimensions of patient's medical data.

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Leveraging Tomorrow's Technology Today In Healthcare

The need for Big Data solutions to improve healthcare operations is unprecedented. An integrated Big Data approach can allow organizations to personalize health services to reduce variability, costs, and adverse incidents, improve quality-of-care and keep patients healthy.

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Leveraging Data Science For Tomorrow's Healthcare

Data science is changing health care and its needs; HCOs are on the edge of massive transformation using new tools, techniques with outpouring data. Leveraging data science for tomorro's healthcare can help lower cost and improve medical decisions based on a patient's specific biology.

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Leveraging Big Data Analytics in healthcare

Competitive and legislative pressure is forcing the healthcare industry to manage their resources efficiently, reduce healthcare costs and improve patient outcomes. Meanwhile, the push to expand access to primary care, combined with social media and mobile technologies.

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Apply Advanced Analytics To Enhance Value Based Care And Personalized Medicine

Data analytics is at the core of personalized and value based patient-care. The potential of Electronic Health Records (EHRs), clinical data, genomic data can be put together to enable better decision-making and patient health outcomes.

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IntelliPayer

IntelliPayer solution is built to support health plans in today's transitioning healthcare environment. IntelliPayer solution implements data-driven innovations for better plan design, proactive care management, responsive member reporting, transparent provider performance measurement and pay-for-performance initiatives.

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IntelliPatient

IntelliPatient combines clinical, claims, care management and socio-demographic data into a single view to offer insight into healthcare quality, cost and outcomes. It helps healthcare provider to track diseases and help care team to determine what treatments are most effective. IntelliPatient brings together advanced analytics and care management capabilities to maximize the value of patient information acquired from care providers.

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IntelliMRA

IntelliMRA solution provides a platform to archive patient data and move inactive, outdated application data for complete access to patient data. IntelliMRA helps healthcare providers to create information driven healthcare and accelerate innovation by providing entire clinical information of patients from the archive in real time at the point of care.

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IntelliClinical

IntelliClinical is a comprehensive cloud based clinical trial analytics solution that provides faster actionable insight into clinical trial programs to make more - informed business decision and improve your bottom line with timely and fact based help. IntelliClinical platform adds agility to clinical trial management that lowers risk while improving quality and compliance.

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IntelliRx

IntelliRx is an intelligent, insightful and intuitive next generation solution which brings together prescription drug data, call planning and CRM data on the iPad. It enables the Pharma field force to more effectively target and engage the prescribing physician. With an open architecture and agile cloud implementation, IntelliRx can be customized for any platform in a relatively short time frame.

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IntelliVigil

IntelliVigil is a next generation, integrated and complete pharmacovigilance solution for pharmaceutical, bio-pharmaceutical and medical device companies. IntelliVigil is built on a big data frame work. This brings in new capabilities in handling large volumes of data, system response and ability to handle variety structured and unstructured data.

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