At Scalable Health we have deep in-house expertise in the health data continuum. We help providers, payers and pharmaceutical companies make the right decisions.

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?

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.

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.

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.

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. Locked in this data are correlations to improve care outcomes and better manage scarce resources.

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.

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.

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.

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. Data Analytics and Machine Learning offer valuable potential in combating the opioid crisis through better pain management solutions, stricter control of prescription abuse and drug theft, greater insights into addictive behaviour and relapses using predictive analytics and digital tools for ongoing support for recovery and rehab.

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. From early detection to intervention strategies to ongoing support, mental health specialists now have a variety of digital tools to help treat and support their patients.

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. Using pre-built parsers and connectors, clinicians can accumulate, process, and deliver a range of patient related data from medical device sensors, EMR/EHR applications, images, doctor's notes, and claims data.

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.

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. Successful deployment of IT platforms in healthcare settings can offer greater potential to promote "Meaningful Use of Artificial Intelligence.

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. Thus, AI is being considered for AI-Powered Clinical Trials, of which the healthcare and pharmaceutical industries would be the greatest beneficiaries.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.