Artificial Intelligence Companies Making a Difference in Predicting the Next Outbreak

Looking at the best minds for answers in artificial intelligence on disease control, we see Andrew Ng, Co-Founder and Leader of Google Brain, is making an impact. He quoted recently, speaking actively on his thoughts about AI. “Much has been written about AI’s potential to reflect on both the best and worst in humanity. As leaders, it is incumbent on all to make sure we are building a world that every individual has an opportunity to thrive.”

Amit Ray is a highly intelligent, brilliant, and religious man; the author of seven books gained praise as a spiritual master and teacher. A pioneer in AI earned his BS in Engineering and his M. Tech and Ph.D. — working as a scientist in computational neuroscience. He introduced the concept of Deep Compassion algorithms and frameworks; believing in collaboration and peace in a world free of weapons.

He established, leading the way in the artificial intelligence movement. He talked about AI and expressed his thoughts passionately on advanced technology. “The coming era of Artificial Intelligence will not be the era of war, but the era of deep compassion, non-violence, and love.”

Over the Past 25 Years

The growth of medical improvements, technological advancements, and diagnosing diseases correctly and swiftly in healthcare — are directly associated with advances and the uses of AI technology and Predictive Analytics tools and techniques. The top ten infectious disease control hospitals are exploring diseases with a high mortality rate. Conditions analyzed by Artificial Neural Networks (ANN) and Bayesian Networks (BN) for diagnosing and classifying a variety of high-risk diseases — using machine learning models like ANN and BN.

The Novel Coronavirus Created a New Norm

Today, the world is fighting a new enemy we cannot see, hear, or touch, yet it’s wiping out more than 15,000 thousand people as the global loss of life rises. A flu-like pandemic so frightening and widespread, everyone is in panic as the disease is threatening human health. The loss of jobs is causing a global economic crisis; however, despite everything, we will get through it.

People are walking around in a daze with anxiety and nervousness after the recent pandemic of the Coronavirus. Stockpiling food, toiletries, and personal care products — feels like a horror movie the universe is living in. Towns deserted, streets empty, store shelves empty and roads without cars.

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From ongoing staffing needs to a rich, 24/7 onsite/nearshore model, our Data Science premium support teams are tailored specifically to meet your needs. Hire an IT resource that’s relatively within the same time zone, cost-effective and easier to access than most offshore services.

Since we’re highly proficient Data Mining and Big Data specialists, our Nearshore team can extract the critical knowledge and insights you need from your structured and unstructured data.


Better Outcomes with Preventive Care Treatments

Companies like Biotia a health tech startup offering AI-based solutions to diagnose and control infectious diseases. DNA sequencing-based technology and proprietary AI-powered software used to rapidly and accurately identify microorganisms and antimicrobial resistance.

  • Artificial intelligence gives hope of stopping contagious diseases before it ever spreads globally, thereby saving lives.
  • AI technology, machine learning, and data analytics — quickly identify patients and patterns in medical data and who are at risk for severe health problems.
  • As design quantitative analytical modeling is showing healthcare new medical treatments, breakthroughs in fighting viruses, and preventing infectious diseases are now possible and attainable using AI technology.

Global Supply Chains Disrupted

Cargo movements and flight operations suspended, and factories closed in Asian countries. Logistical warehouses are on extended closure. Many companies, who use China to manufacture goods like Apple, are seeing factories close.

  • Confirmed reports say Apple will not meet Q1 revenue. However, it’s not all bad for the tech giant.
  • A gaming spike in downloads for handheld games has increased drastically in China.
  • Quarantined homes in China have downloaded the App – Annie with 222 million downloads. Apple’s online store has increased traffic by 40%.
  • The after-effects of the pandemic have caused McDonald’s to close 300 restaurants in China and Burberry, closing 24 stores.
  • Luxury brands severely impacted; evidence-backed reports show implementing intelligent technology can provide alternate supply chain opportunities.
  • Increased demands in supply chains, predictive analytics, and AI-based systems can help answer pressing problems and closure issues.

Once the Recent Pandemic is Over

The outbreak will be quickly reviewed and assessed within the healthcare community. It will be an essential topic of discussion for data scientists, medical personnel, and researchers as they try to understand how this disease became so widespread.

Top infectious disease hospitals across the country can now accurately and instantly predict contagious diseases in the future, thereby shifting from illness to sustaining well-being.

  1. Some key questions will arise within hospital personnel and the healthcare community. How to successfully use AI and machine learning technology to predict, prevent, and protect patients.
  2. How can infectious diseases be detected early by implementing a data-driven enterprise and analyzing big data sets?
  3. When can we implement predictive analytics to examine patients’ medical history faster?
  4. Build a Pandemic Pre-Emergency Plan, an Infectious Disease Training Program for medical staff.
  5. Hospitals will need to build an Emergency Disease Control Team.

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Predictive Analytics

The future of predictive analytics is changing healthcare is personalized, customized, and revolutionary in diagnosing, preventing, and combating chronic diseases. Hospitals worldwide are implementing AI technology systems and predictive analytics to discover new paths in healthcare.

  1. It can help to widen a doctor’s understanding of patient’s medical history by extracting data on demographics, preferences, lifestyles, behaviors, and psychographics to predict future events, unknown outbreaks, trends, and present viruses happening globally.
  2. Healthcare-based algorithms and predictive analytics are altering a patient’s medical treatment and preventive care through analysis of medical history. An AI technology that delivers actionable, medically data-focused decisions with positive approaches.
  3. AI uses a variety of data points with sophisticated algorithms to understand complex medical records that result in anticipating illnesses before it occurs.

Artificial Intelligence in Healthcare

AI technology helps to prepare, project, and simplify patient care and assist doctors and hospital administrators with new answers and can identify infectious diseases quickly. The primary intent of health-related AI applications analyze relationships – efficiently processes medical data by gaining critical information and provide a well-defined output to the medical staff.

AI companies can identify clinical comparisons and health relationships, reading structured and unstructured data. Delivers accurate conclusions, and a foreseeable health crisis without human input and doctors can take on complex problems.

  1. AI understands a spectrum of patient data faster with new technology-based approaches, better analytical tools, and predictive analytics applications.
  2. Carries out and performs tasks quickly, and in half the time, it would take a doctor, plus gain new insights.
  3. The AI sector is the world’s highest growth industry projected to reach $150 billion by 2026.
  4. Expands medical knowledge, advances in patient care, and finds new ways to treat sickness, infections, and viruses.
  5. AI predicts and can diagnosis faster and is critical disease management.
  6. Identify problems within a patient’s medical record — provide doctors with a cognitive summary and offers new remedial approaches in severe patient medical cases.

In The Field of Medicine

AI researchers are developing and implementing preventive measures, increasing a clinician’s comprehension of vast data, swiftly utilizing cognitive, comparative, and predictive modeling done using big data and predictive analytics.  Optimizes patient data combined with new techniques in augmented intelligence to find new answers to prevent the outbreak of epidemics.

  1. Big Data observes and isolates data — removing identifiable information from data sets, so the people whom the data describes, remains anonymous.
  2. AI in medicine optimizes patient care and treatment — offers hope for patients with complex illnesses and can uncover precision therapies.
  3. A technology that can cross-reference 20 million oncology records to quickly diagnose rare leukemia conditions in patients and find preventive measures for viruses.
  4. By applying algorithms, rules, pattern matching, and cognitive computing — massive amounts of raw data are examined — health outcomes predicted with extreme accuracy.

Healthcare Predictive Analytics Companies Making a Difference

Healthcare companies around the globe are helping aid in the fight of deadly diseases by identifying global changes or detect problems in patient’s health using predictive modeling.

BlueDot, Subtle Medical, BioSymetrics, Inform AI, and IBM Watson Health have analytical tools and AI systems that can help to speed up medical diagnosis using patterns that use the brain’s neural networks.  

Predictive Analytics builds chronic disease models and risk patterns, patient disease progression analysis, risk analysis from data mining, and developing algorithms and processes — using historical data, statistical and mathematical techniques.

  1. Deloitte Insights
  2. Nous Infosystems
  3. Alteryx
  4. Nextgen
  5. CERN
  6. DarkMatter2bd
  7. Stryker Performance Solutions
  8. Medacist Solutions Group
  9. Health Catalyst
  10. TechVedika
  11. Inovalon
  12. Interpreta
  13. Viewics
  14. Mede/Analytics

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IBM Watson Health

An AI-based technology company applying data-driven analytics, advisory services, and advanced technologies — analyzes medical and scientific documents to discover new connections for drug development. Creates personalized patient care plans and offers best-patient-care approaches.

  1. Delivers actionable insights that can help identify efficiencies and improve a patient’s health.
  2. The health system can sort through thousands of structured and unstructured patient data to find the most optimal care.
  3. In addition to the latest evidence-based medicine, regulatory requirements, and quality standards implemented.
  4. IBM Watson Health aligned with CVS Health and Johnson and Johnson for the exploration and treatments of chronic diseases.

Big Data Companies I Big Approaches in Healthcare

Big Data can locate and fight pandemics, such as the spread of infectious diseases by analyzing and removing identifying mobile statistical data — accurately identified the H1N1 flu outbreak in Mexico, in the Spring of 2009.

New Players: Tempus, Amitech, Pera Health, Pieces Technologies, Flatiron Health, and Digital Reasoning Systems

  1. CVS Health acquired Aetna –well known in healthcare with big data analytics and health management.
  2. Apple –partnering with 40 hospitals and health system companies; using the iPhone as a health data collection hub. Records App aggregates give providers a view of patient health records. Now a patient data brokerage business working with developers on disease management.
  3. Allscripts –purchased Practice Fusion
  4. Amazon –making moves into health management-announced acquisition of Pill Pack.
  5. Facebook — a data giant that collects social and consumer information. A prominent player in population health management. Amazon Web Service — a machine learning service tool is offering, leading big data and new capabilities for healthcare organizations.
  • Behavioral targeting is another tool — as Amazon is a pioneer of massive data collection.
  • Consolidates people’s information using AI to understand patient engagement and flag individuals of self-harm.

Who is BlueDot?

An artificial intelligence-based company calculated and predicted the spread of the COVID-19 disease. Determined there was a severe problem with pneumonia cases in just one city in China. Since pneumonia is a lung infection caused by bacteria, viruses, or fungi, as the germs spread from person to person, the data from BlueDot was critical information. The data was flagged as they worked with the government agencies to access the results and before the world knew.

But in December, “we didn’t know at that moment that this was going to become something of this magnitude,” Kamran Khan, founder and CEO of BlueDot and professor of medicine and public health at the University of Toronto tells CNBC Make It.

How Technology is used to Predict Health Outbreaks

BlueDot reviewed the data, and the World Health Organization received the news nine days later as the disease would be then be called COVID-19. No one at the time knew the depth of significance regarding this health problem in China. However, a global effort was underway to contain its spread.

As the National Institute of Allergy and Infectious Diseases was notified, NIH researchers determined within two weeks of the discovery of COVID-19  how the virus gets into the cells as the virus is transmitted in a community setting rather than in healthcare.

BlueDot uses Machine Learning with a Data-Based Approach

To analyze a variety of data and identified certain health conditions when the news alerted hospitals and governments around the world was notified about the infectious disease and the rise in bacterial pneumonia cases in Wuhan, China.

  1. Reports were retrieved and analyzed at midnight on December 20, 2019, by BlueDot identifying a massive amount of flu and respiratory tract infection cases.
  2. These health occurrences marked as urgent due to the risks and complications associated with influenza.
  3. Technology can help medical professionals of all skill levels to be able to interpret patient-generated data that has continually analyzed and detect slight changes in a patient’s health much earlier.

Healthcare Customized With Access to Comprehensible Data Faster

Optum IQ using AI and advanced analytics solves questions on patient health, thereby transforming patient care.  Identifies high-risk patients and improves outcomes with tailor-made solutions through predictive analytics for personalized attention and better health. A new reality for doctors to find infectious diseases faster and intervene before a patient shows symptoms.

  • Hospitals can utilize predictive modeling to forecast a patient’s healthcare outcome is far more critical than ever to identify undiagnosed high-risk health conditions.
  • A physician can analyze patient discussions, take notes with AI screening data, and can accurately perform clinical diagnoses and suggest innovative treatments.
  • Detecting and preparing for the world’s most infectious diseases is critical to combating transmittable illness can now be done with AI algorithms.
  • Significantly improves data processing — giving people and more accurate picture of what lies ahead.
  • A data-driven predictive model approach with machine learning and artificial intelligence will be transforming the global healthcare industry as we know it.

The Takeaway

Hospitals should have a pandemic preparedness plan

By hospitals instituting a recovery plan and emergency preparedness response strategy for healthcare administration and medical personnel can improve.

  1. Patients and their health would significantly improve by installing and leveraging AI-Based Technology Software combined with Augmented Intelligence and Deep Learning to drive advances in medicine and detect another outbreak.
  2. Create an essential strategy for future influenza pandemics and a critical plan for their medical staff.
  3. Ensuring their IT healthcare systems are upgraded, and their facility is using the latest technology by implementing Artificial Intelligence-based systems to predict another pandemic and to improve healthcare in their community.
  4. It is helping to continue functioning during and after a pandemic is a crucial element that will help in reducing the economic impact, mortality rate, and healthcare costs.

New Policy Adopted Augmented Intelligence

The American Medical Association announced in June 2018 as a new policy — provides a broader framework for the evolution of artificial intelligence.

  1. It helps ensure and aid in the AI benefits, and support increased development and move forward in advances of AI.
  2. Use AI techniques to progress health care and policy focused on two fundamentals — appropriate integration of AI into the health care community.
  3. AI should be a tool for enhancing clinical judgment – not to replace or override decisions but to use it as a means for new answers and treatments.
  4. The expansion of health care AI tools need to carefully reviewed and evaluated.
  5. Patient applications focused on patient privacy for considerate clinical implementation.

Moving Forward – New Programs in Healthcare

Pilot programs in healthcare are moving forward AI algorithms and have shown that the healthcare industry is ahead of other sectors by providing patients with customized care by advancing medicine.

Doctors can make better decisions, predict chronic diseases, improves long-term patient care. Retrieve accurate tests and get results by cell phone on imaging data, CT, MRI scans, and X-rays results that incorporate data analytics, AI technology, and deep learning.

  • Researchers working feverously to build mathematical modeling, find treatments to assist hospitals in treating contagious patients – and in forecasting their future of Covid-19 in their area and how the weeks and months will look like at their hospital.
  • Augmented intelligence and augmented reality improves surgical data imagery, education, vein visualization, displays, cameras, and sensors to display digitally for real-world patient scenarios.
  • Big data and geofencing aggregates mobile data and high-tech tactics to understand people and their habits.

The New Reality of Augmented Intelligence

BlueDot AI Algorithm

  1. BlueDot Technology is a geofencing AI software company focused on research and development facility – with the ability to programmatically set more than 150-million data points’ worldwide using cutting-edge, highly innovative technology.
  2. Utilizes a precise location data platform (embedded in a mobile app) – offering their partners like Adobe, Oracle, and Salesforce the most accurate location-based services to empower companies.
  3. Works with government and private sector clients by informing them about possible contagious diseases and other respiratory communicable infections.
  4. Uncovers potential epidemics by using machine learning to monitor outbreaks of infectious diseases.

Manipulating Artificial Intelligence-Driven Algorithms

  • Anticipate infectious diseases by searching through thousands of foreign-language news reports, global airline ticketing data, animal and plant disease networks, and disease surveillance analytic program monitoring.
  • Predicts the spread of infectious disease, tracking where the outbreak is headed, like the Coronavirus, through algorithms instead of public health data.
  • The way physicians and the healthcare team operate – with personalized medicine and tailored-driven care for each patient.
  • Identifies and responds to patterns with the digitization of healthcare.
  • Genomics data expected to increase as precision medicine, and the creation of new data sets, having integrated with clinical workflows becomes the norm.

Top Leading Hospitals Implemented AI Technology into Their Healthcare System

An increase in adopting of Artificial Intelligence tools in the health care community will be due to the AMA’s new policy — aiding in diagnosis faster and in half the time, with extreme accuracy.

  1. Mayo Clinic
  2. Memorial Sloan Kettering Cancer Center
  3. British National Health Service
  4. Cleveland Clinic – Constructed and launched a new center for artificial intelligence (AI) healthcare facility for researchers. Machine learning models for improving patient outcomes like infectious diseases, diagnosis, treatment, and prognosis.
    1. The Center for Clinical Artificial Intelligence encourages and supports the use of AI in diagnostics, disease prediction, and treatment planning.
    2. They are fostering collaboration among physicians, researchers, and data scientists to solve clinical issues using AI.
  5. University of Maryland Medical Systems– Instituted a proprietary machine learning model to predict hospital readmissions, help aid in other areas like diseases.
  6. Novant Health – Institute of Innovation and AI — provide more personalized patient care and accelerated solutions.
  7. Partners HealthCare– Provides AI capabilities to all clinicians and researchers  — a massive initiative spearheaded by Massachusetts General Hospital and Brigham and Women’s Hospital’s joint center for clinical data science.

How is Transforming Healthcare with Artificial Intelligence

Today, companies like can instantly examine and detect anomalies based on patterns using algorithms — utilizes deep learning technology and predictive analytics to read CT, MRI scans.

Eliminate human error misreading of tests and the misdiagnosis by doctors with quick, accurate results.

The National Academy of Medicine in a 2015 article stated — 5 percent of adults in outpatient care misdiagnosed annually.  An estimate of 12 million patients will receive an incorrect or late diagnosis – resulting in severe consequences.

The Advantages of Artificial Intelligence Outweigh the Concerns

AI guides doctors for better patient care — speeding up the process in analyzing tests accurately. Leveraging technology is now more critical than ever in predicting the probability of disease in patients faster and without compromising the quality of patient care.

Predictive analytics helps with the recent pandemic of the Coronavirus; it is now more critical than ever that change in our healthcare and healthcare technology system goes through a significant upgrade with advanced technology.

  • Detecting the world’s most infectious diseases like Ebola, Tuberculosis, Cholera, MERS, and MRSA can be done using artificial intelligence technology.
  • Deep learning and machine learning is used in conjunction with AI to help leverage medical imaging accurately and within minutes.
  • Doctors can correctly attain tests super fast in less time — even before symptoms appear in patients.

AI technology a Life-Saver for Patients and Impacts Public Health

Reduces operational costs and human error with new methods to improve medicine — retrieve test results faster and more accurately, and smart technology is the answer. AI-software companies that specialize in advanced predictive analytics modeling using real-time data and patient historical information is helping in the fight — by collecting patient records, tests and dissecting documents and statistical data to diagnose chronic diseases.

91% of healthcare administrators agree artificial intelligence will significantly and positively boost healthcare for better treatments. However, 75% are worried it will threaten patient data privacy and security.

  1. Promotes better quality of care, minimize errors, and predict diseases in healthcare — physicians learn to work resourcefully and powerfully with smart technology and advanced systems.
  2. Retrieving test results and tackling patient care by processing medical data to foresee outcomes or prevent tragic consequences with extreme calculations for accurateness and truthfulness.
  3. AI is playing an integral part in routine care and detecting life-threatening conditions by predicting problems before they occur. Healthcare organizations have launched Augmented Intelligence involving AI-derived algorithms.
  4. AI will help in scientific research, resulting in enhanced human intelligence with predictive analytics supporting the healthcare systems.
  5. Challenges to adopting AI in hospitals is still a genuine concern as IT professionals need to build a consensus among the medical staff and to show proof that implementation will be transformative.

Who is BlueDot?

It is a geofencing and AI software technology company that specializes in extraordinary high precision and accuracy data.

  1. Protecting the public from infectious diseases using artificial intelligence to predict the spread of Coronavirus using their surveillance system and could help the next pandemic in its tracks with highly accurate predictive data.
  2. What is Geo-fencing(Geofencing) It is a feature in a software program that applies a global positioning system (GPS) or radio frequency identification (RFID) to define geographical boundaries.
  3. Making an impact in healthcare and across the country — using AI and Predictive Analytics to predict the spread of infectious diseases before it happens.
  4. How are BlueDot products anticipating the Coronavirus outbreak? It’s through AI-driven contagious disease surveillance technology.

In a recent article by Virtualization News — dated February 14, 2020, by Samantha McGrail, she states that Artificial Intelligence (AI) is slowly and progressively becoming more prominent in healthcare systems. But 75% of hospitals are threatened by AI and feel it could put patient’s privacy and data at risk, according to a recent survey by KPMG Advisory.

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