Thursday, July 14, 2022

Wysa - Everyday Mental Health

Wysa, a mental healthcare startup that provides an artificial intelligence-based chatbot service, has raised $20 million in series B funding.Wyse is currently in use in the U.K.  They plan to expand into the U.S. and India with the Venture Capital Funding.

Wysa's AI chatbot leads users through cognitive behavioral therapy tasks. The chatbot can refer users to crisis support or in-person mental health services. Wysa has about 4.5 million users, according to a July 14 news release.

Studies from the U.K. reveal it ranks in the 92nd percentile for excellence.

The artificial intelligence chatbot will add to the effectiveness of remote mental health treatment. It will offer services to user in a very cost-effecive way with little need for additional manpower. This will augment the already shortage of mental health workers. It has the potential to triage patients that need to be seen by a mental health professional.  Globally, there is a huge demand-supply gap in the mental health space. One in eight people in the world live with a mental disorder, according to the World Health Organization. With high treatment cost and limited access to qualified therapists, employers, healthcare providers and insurers are seeking ways to help people manage their mental health and well-being through clinically proven, cost-effective and scalable solutions.

Wysa uses AI (Artificial Intelligence) to triage users according to their personal needs, guiding them through appropriate, evidence-based CBT (Cognitive Behavioral Therapy) exercises within the app, towards other mental health services or crisis support. Wysa’s platform provides employers and health services insights into usage rates of Wysa and digital well-being tools, while maintaining user privacy. 

WYSA meets clinical validation standards


The device delivers cognitive behavioral therapy (CBT) via a smartphone-based conversational agent to reduce the symptoms of depression and anxiety, reduce pain interference, and improve physical function.

The designation follows an independent peer-reviewed clinical trial, published in JMIR, that found Wysa to be effective for managing chronic pain and associated depression and anxiety, which was found to be more effective than standard orthopedic care, and comparable to in-person psychological counseling. 

“We’re thrilled to achieve this meaningful designation from the FDA and look forward to working closely with the Agency to continue the development of AI-based cognitive behavioral therapy,” said Jo Aggarwal, CEO, and co-founder of Wysa. “Our mission is to help those in need of support with an always-available platform, and during these challenging times it’s more crucial than ever to provide mental health options.”

The FDA Breakthrough Device program is designed to help accelerate the development and approval of medical devices and products that have the potential to provide more effective treatment or diagnosis of life-threatening or irreversibly debilitating diseases or conditions. The FDA designation of Wysa’s platform will enable Wysa to efficiently communicate with FDA’s experts through various program options, facilitating the development of the product prior to the premarket review phase.  

About Wysa:

Wysa is a global leader in AI-driven mental health support, available both to individuals, through employer benefits programs and healthcare services. Wysa supports individuals with the help of an “emotionally intelligent” conversational agent which guides users through evidence-based cognitive-behavioral techniques (CBT), meditation, breathing and mindfulness exercises, as well as micro-actions to help build mental resilience skills. For employers, Wysa offers a workplace solution that caters to the full spectrum of behavioral health needs. This solution embeds into existing company benefits, such as Employee Assistance Programs (EAP) or external health care provider networks, and can be customized by geography or cohort. Currently, Wysa has facilitated over 400 million conversations with 4.5 million users in 65 countries. Wysa’s customers include Accenture Global, Aetna International, NHS, Cincinnati Children’s Hospital Medical Center, and the Ministry of Health in Singapore. 

For more information visit


Wysa - Everyday Mental Health

Tuesday, July 12, 2022

Our Digital Consulting Client Success Stories | BCG

The page link will bring you to a series of video blogs expanding on the use of deep learning in each area.

Examples are from real life situations.  The source is. BCG (Boston Consulting Group) BCG offers a wide range of services for health applications, financial, industrial and other sectors. The digital technology service is closely connected with the MIT digital transformation program.

How We Help Health Care Payers, Providers, Systems & Services

Creating value for patients is both the ultimate goal and a critical competitive advantage for health care payers, providers, systems, and services worldwide. We use our deep industry knowledge to generate health care business models and health system strategies and solutions customized to each client’s situation. Key aspects of our work include the following.










What is DigitalBCG?

DigitalBCG helps clients harness the power of digital, technology, and data to launch new digital ventures, drive digital transformation, and push the boundaries of innovation.

AI Helps Doctors Spot a Lethal Condition in ICUs

Acute kidney injury (AKI) is costly and deadly, so BCG developed an easy-to-use model for identifying those patients at the highest risk of developing the condition—before it becomes a problem. It is public health and a cost factor for health plans healthcare, hospitals and renal dialysis units.

Helping a Health Insurance Provider on Its Digital Journey

The health care industry is facing transformational change. BCG helps health care leaders build innovative responses to COVID-19 and develop new initiatives to reposition—and reimagine—their organizations for the future. We’re working to help the industry thrive in a postpandemic world.

Wednesday, July 6, 2022

Physicians are unaware of the potential for Artificial Intelligence

Only a third of U.S. 
physicians are already using AI in their practices, and many believe there is ample reason to think this advanced technology can help address diagnostic errors, the largest cause of malpractice claims. 3 However, there are still unresolved questions about the risks.

How effective is artificial intelligence in the medical field?

Initially, AI will be most effective for dealing with specific problems. “A program that does the whole CT of the abdomen is going to take a while,” says Fishman. “There are so many organs and there’s so much variability.

Could AI improve the delivery of health care?

AI could be particularly beneficial in places with limited access to health care. “Machine intelligence presents us with an opportunity to significantly improve the delivery of health care, particularly in high-disease or low-resource settings,” says Antani.

How will ai transform the healthcare industry?

Artificial intelligence (AI) has the potential to transform how healthcare is delivered. A joint report with the European Union’s EIT Health explores how it can support improvements in care outcomes, patient experience and access to healthcare services.

The roadmap to success of AI in the medical industry lies in effective implementation in enhancing productivity and efficiency to transform care delivery services by way of workflow optimization; reducing unwarranted variations while expanding precision medicine and improving and speeding up diagnostic accuracy.

How is Ai revolutionizing healthcare industry?

AI in healthcare has produced some of the most advanced machines to aid in the treatment of patients and increase hospital productivity. In healthcare, robotic arms and medical robots were used to assist in surgeries and to teach residents practical skills. Shortly, artificial intelligence is expected to take over the healthcare business.

Growing Impact of AI in Healthcare Industry

AI in healthcare brings on a variety of benefits. AI often makes use of an online database that gives physicians and practitioners access to hundreds of diagnostic materials. Because physicians have a thorough understanding of their area and are upgraded based on current research, AI makes it faster to get these results that can be demonstrated with their clinical expertise.

Many people have become concerned that artificial intelligence will someday replace or reduce the necessity for human doctors, particularly in the clinical context. However, new studies and statistics suggest that rather than reducing physician necessity, this tool will likely help and enhance clinical diagnoses and decision making.

Many times, patients exhibit many symptoms that might be linked to a variety of disorders based on both hereditary and physical traits, causing a diagnosis to be delayed. AI benefits a practitioner not only in terms of efficiency, but it also gives quantitative and qualitative data based on input feedback, enhancing accuracy in diagnosis, treatment planning, and result prediction.

Because AI can "learn" from data, it has the potential to enhance accuracy depending on feedback replies. Many back-end database sources, as well as information from practitioners, physicians, and research institutes, are included in this feedback.

Assembled data is made up of a variety of medical notes, electronic recordings from medical equipment, laboratory imaging, physical exams, and demographic information. Practitioners have almost infinite resources to enhance their therapeutic skills because of this collection of constantly updated knowledge.

Keeping Health Well

One of AI's significant advantages is that it helps people stay in good shape and health. So people don't need to call for a doctor as frequently, and if at all. People are already benefiting from the usage of AI and the Internet of Medical Things in health applications.

Many individuals have been encouraged to adopt the habits by using different technologies, tools and apps to aid in the proper maintenance of a healthy lifestyle. It also gives customers control over their health.

Also, AI improves healthcare providers' capacity to better perceive the regular patterns of cared individuals, allowing them to give greater feedback and support to help them remain healthy.

Early end Effective Detection

AI is being used to diagnose illnesses more precisely in their early stages. According to research, a large percentage of mammograms provide misleading findings. AI is allowing mammograms to be reviewed and translated 30 times quicker with 99% accuracy, decreasing the need for unneeded biopsies.

Consumer wearables are also being used in conjunction with AI to monitor and diagnose early-stage cardiac disease, allowing physicians and other caregivers to monitor and detect life-threatening incidents at earlier, more curable stages.

Systemic Diagnosis

Watson for Health from IBM is a digital tool that enables healthcare businesses to use cognitive technologies to access massive volumes of health data and improve diagnostic accuracy. Watson can examine and retain exponentially more medical knowledge than any person - every medical article, symptom, and case study of therapy and reaction worldwide.

Different organizations collaborate with physicians, academics, and critical patients to address practical healthcare issues. The approach blends machine learning, artificial intelligence and neuroscience in order to incorporate sophisticated general-purpose cognitive algorithms into human neural networks that simulate the human brain.

AI in Imaging,             Electrocardiogram

CT scans,

Proper Decision Making

Improving treatment involves aligning massive health data with appropriate and timely judgments, and predictive yet near-perfect analytics can both enhance clinical decision-making and following actions and prioritize administrative duties.

Using different pattern recognition techniques to identify patients at risk of getting a disorder - or having one worsen - as a result of lifestyle, environmental, genetic, or other variables is another area where AI is gaining traction in healthcare.

Unachievable Treatment

Apart from scanning records to assist providers in identifying chronically ill patients at risk of adverse episodes, AI can assist clinicians in taking a more comprehensive comprehension of disease management, better-coordinating care plans, and assisting patients in managing and adhering to their long-term treatment regimens.

For more than three decades, robots have been utilized in medicine. They vary in complexity from small laboratory robots to very complicated surgical robots capable of assisting a human surgeon or doing surgeries on their own. They are also utilized in hospitals and laboratories for repetitive jobs, rehabilitation, therapy, and to assist persons with chronic diseases.

Artificial Machine Learning in Drug Discovery

The Necessities of Life Care Becomes Obsolete

TAn average human has a longer living capacity than past generations, and as we near the end of our lives, we are dying differently and more slowly from illnesses such as dementia, heart failure, and osteoporosis. Additionally, it is a stage of life that is often marked by loneliness.

Robots possess the potential to transform end-of-life care by enabling patients to stay independent for longer periods of time and so lowering the need for hospitalization and care facilities. AI, in conjunction with developments in humanoid design, enables robots to go even farther and engage in 'conversations' and other social activities with humans, therefore maintaining the sharpness of aging brains.


The largest hurdle for AI in healthcare is not determining if the technologies will be sufficiently competent to be beneficial but rather guaranteeing their widespread acceptance in everyday clinical practice. Clinicians may eventually gravitate toward work requiring unique human abilities, activities requiring the greatest degree of cognitive function. Perhaps the only healthcare practitioners who will miss out on AI's potential are people who refuse to collaborate with it.


Friday, July 1, 2022

Biden signs law requiring more VA transparency on EHR rollout costs | Healthcare Dive

The VAH system is no stranger to difficulties with electronic health records. The VA itself is a very large health system as a standalone division of health care for government programs.  The latest iteration being developed by Cerner,  is to make the Depatment of Defense electronic health record interoperable with the Cerner VA EHR.

Each system has a mutiplicity of clinics, hospitals and outpatient facilities to be supported.  During the past decade most EHR vendors have struggled to adopt interoperability across vastly different EHR systems.  Some success has been attained by large vendors such as Epic within their own ecosystem. Epic has been very successful with it's portal, "My Chart"  which allows any hospital or clinic to share it's EHR with any other facility using Epic's EHR.  
I can attest to the validity of it's portal, having used it for the UCLA, Scripps hospital, Cleveland Clinic, and Mayo Clinic as well as my own physicians locally.

Cerner EHR is now a subsidiary of Oracle. Oracle offers it's own interoperable system amongst  Keck Medicine of  USC,  Boston Children's Hospital,    Southwest General Health Center.   St John's Hospice, and connects with  CommonWell Health Alliance.  Cerner was instrumental in forming the Commonwell Health Alliance.

The VA is a political football. Each change of administration has a bullet point presentation claiming about cost over runs for the "new" VA EHR.  The VA seems to use the Elon Musk model of developing rockets. Launch it and see if it blows up.  Analyze when and why, fix it and move on.  It is the VA adaptation of recycling the EHR. During the last two decades many iterations of the VA EHR have undegone RUD (Rapid Unscheduled Disassembly.)

 The history of the VA Information Technology program dates back into the 1970s.

The details of the development program for VA IT are outlined here