From Care to Billing AI's Transformative Role in Revenue Cycle Management
From Care to Billing AI's Transformative Role in Revenue Cycle Management
The white paper explores the benefits of AI for the providers in simplifying the claims process, reducing denials, and improving patient experience
AI: Unlocking the Potential of Value-based Care
AI: Unlocking the Potential of Value-based Care
AI-driven solutions and services help stakeholders accelerate the adoption of Value-Based Care to achieve the triple aim of improved care outcomes, operational efficiencies, and cost reductions.
Health Equity How Data Driven Insights are the Key
Health Equity How Data Driven Insights are the Key
Improving healthcare required a steadfast commitment, attention, and resources to ensure equity of access, infrastructure, and outcomes. Advancing health equity needs a multi-pronged approach involving technologies, data, analytics and AI.
Patient Risk Stratification to Predict, Prioritize and Prevent Risk
Patient Risk Stratification to Predict, Prioritize and Prevent Risk
The healthcare industry is undergoing a significant paradigm shift from a fee-based model to a Value-Based Care (VBC) model to encourage innovation, quality, and efficiency.In addition, hospitals and other healthcare environments are producing volumes of data beyond the current processing capabilities of existing legacy systems.
Turning Lemons To Lemonade: Advanced Claims Analytics With Big Data
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.
Improving Clinical Outcomes: Unleashing The Potential Of Healthcare Data Lake
Improving Clinical Outcomes: Unleashing The Potential Of Healthcare Data Lake
As the applications of data sources rises, healthcare organizations need a smarter method to collect, ingest and manage the data that arise.
Connected Health Science: Interoperability Meets Augmented Intelligence
Connected Health Science: Interoperability Meets Augmented Intelligence
Facilitating the exchange of intelligence should not be an afterthought or a layer to be added on top of existing systems. It is essential for healthcare organizations to leverage data analytics to enable care-gap analysis, patient risk identification, and track operational metrics to drive efficiencies.
Use Of Real-Time Analytics In Population Health
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.
Creating Sustainable Member Engagement In Healthcare Insurance Market With Data Analytics
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.
The Promise Of Big Data In Diabetes Management
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.
Hearing Health Driving Member Experience With Intelligence
Hearing Health Driving Member Experience With Intelligence
Artificial Intelligence can generate precise health intelligence based on the patient's profile to determine the best hearing health coverage, the right provider and assist in selecting the best device that meets the holistic needs of the member resulting in greater member satisfaction.
How To Achieve Cost Efficiency By Archiving Healthcare Data And Applications
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.
Reducing Readmission Rate With Predictive Analytics
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.
Digital Hospitals: How Hospitals Are Going Be Changed In Future By Being Digital
Digital Hospitals: How Hospitals Are Going Be Changed In Future By Being Digital
Advances in digital health are changing the medical landscape. By embracing digital transformations, hospitals are able to grant providers access to real-time patient records coupled population health data enhanced by artificial intelligence offering greater insights for improved patient outcomes.
Digital Health Is Changing Mental Health Care
Digital Health Is Changing Mental Health Care
As we continue to see advances in Digital Health solutions for care options across the healthcare spectrum, Big Data, and AI are poised to revolutionize how providers approach mental health care.
Enhancing Clinical Trial In Digital Era With AI
Enhancing Clinical Trial In Digital Era With AI
The collective disruption from AI and IoT will reshape our lives in a sensational way unimagined by most healthcare organizations today. AI has the capacity to comprehend natural language and clinical notes alongside structured information like numbers and dates. It has the capacity to build theories in view of evidence.
Using Big Data To Prevent Infections
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.
Managing Chronic Conditions Using Big Data
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.
Improving Healthcare And Patient Outcomes Through Connected Devices
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.
AI Changes Evidence Based Medicine
AI Changes Evidence Based Medicine
Evidence-Based Medicine (EBM) is considered the guiding principle of clinical practice. Intended to optimize the healthcare decision making process by basing care options on scientific research (i.e., evidence), EBM can identify the most applicable clinical evidence available to the practitioner to facilitate care options.
Artificial Intelligence: Next Frontier For Connected Pharma
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.
Fighting The Opioid Crisis With Artificial Intelligence
Fighting The Opioid Crisis With Artificial Intelligence
Big Data and Artificial Intelligence have proven beneficial in offering insights to assist healthcare providers in many areas of early detection, drug discovery and best practices for value care.
Cloud Technology Is Transforming The Healthcare Industry
Cloud Technology Is Transforming The Healthcare Industry
Cloud Technologies will enable tomorrow's healthcare advances. Cloud computing allows providers access to the right patient information at the right time combined with a knowledge base of healthcare best practices and the latest medical research to make informed care decisions.
How AI will help in fighting Covid-19?
How AI will help in fighting Covid-19?
AI can help scientists understand the spread of a virus as well as how it can be managed and contained. Additionally, AI can do this quicker and cheaper than humans can. There is far less room for human error when making predictions.
Are Healthcare Systems Ready For COVID and the Flu?
Are Healthcare Systems Ready For COVID and the Flu?
Just as the US, and many other countries around the world, is reaching the end of flu season, COVID-19 takes its toll. If the US has the second wave of COVID-19 this winter, the Director of the Centers for Disease Control, Robert Redfield, has warned that the next outbreak will hit the healthcare system even harder.
Multisystemic Inflammatory Syndrome in Pediatric Patients . AI and Analytics in the fight of Covid-19.
Multisystemic Inflammatory Syndrome in Pediatric Patients . AI and Analytics in the fight of Covid-19.
AI algorithms can be integrated as a tool to quickly diagnose pediatric patients positive for COVID-19 given their exposure history and laboratory testing to identify abnormal morphologies that tend to be present in pediatric populations.
Why COVID-19 affect people differently
Why COVID-19 affect people differently
What influences how sick you become after the incubation period? How can technology help us with the fight against COVID-19?