Sherlock Holmes and Mindfulness

“Watson, you see, but you do not observe.”

                            Sherlock Holmes

The character of Sherlock Holmes was originated by Sir Arthur Conan Doyle. Sherlock Holmes and his style of thinking was born of Doyle’s admiration for his surgeon mentor Dr Joseph Bell during his medical training days. The thinking is a combination of intentional skepticism, probabilistic thinking, and mindful observation.

Maria Konnikova, in her book Mastermind: How to Think Like Sherlock Holmes, describes System Watson and System Holmes as the following: while the Watson brain is characterized by emotions, biases and fallacies, and is subjective, the Sherlock brain is more logical, objective, but cognitively costly.

The following are perhaps the most useful of his concepts of thinking that are very valuable in clinical medicine and healthcare:

Mindful interaction

Focus on oneself and the environment for a mindful and attentive thinking process is the hallmark of Sherlock Holmes’ techniques. This intellectual capability can be learned but does require practice and persistence. Pause and reflect, as well as distancing, are keys to start this process. An attentive mind that is not multitasking, therefore, is key for keen observations.

Overcome biases

Sherlock Holmes works diligently to not fall into the traps of biases and heuristics. One of the most common biases is confirmation bias while one of the most common heuristics is the availability heuristic. One of the underpinnings of this mindset is to have continual skepticism of one’s observations.

Continue learning

Sherlock Holmes believes in stimulating his brain (the so-called “brain attic”) so that he can be knowledgeable in many fields. Konnikova describes this learning of the brain as stocking, exploring, navigating, and maintaining this brain attic so that it becomes a dynamic one. The challenge, of course, is to do this in the era of Google and Wikipedia.

Perhaps one of the most debated topics on Sherlock Holmes’ thinking is just what type of thinking he uses. Most have written that he uses deductive reasoning, while others opine that it is inductive reasoning. Very few, however, will state that the type of reasoning Sherlock Holmes in fact uses quite often is abductive reasoning, or simply a best guess from an observation or a set of observations.

The Proposed Kansas Health Science Center – Kansas College of Osteopathic Medicine will be First Osteopathic School to Implement MI10’s Innovation-Based Medical Curriculum

Currently under construction in downtown Wichita, the proposed Kansas Health Science Center – Kansas College of Osteopathic Medicine (KHSC-KansasCOM) is collaborating with Medical Intelligence 10 (MI10) to become the first osteopathic college of medicine to formally utilize MI10’s educational modules to deliver curriculum related to advanced technology and medical intelligence.

“This key strategic partnership is vital to the proposed KHSC-KansasCOM’s ability to realize its mission to ‘train the osteopathic physician of the future to provide effective, empathetic and innovative care to optimize the health of patients and their communities,’” said Dr. Joel Dickerman, dean and chief academic officer of the proposed KHSC-KansasCOM. “The modern osteopathic physician will utilize advanced technologies including AI and data science to deliver care in an effective, efficient, safe, and equitable manner.”

The growing consensus among thought leaders in the medical industry is that artificial intelligence will become an integral tool for the next generation of health care providers. But many clinicians today feel ill-prepared to effectively use these new technologies. Recognizing the need to prepare prospective doctors for a changing health care industry, Medical Intelligence 10, a health care artificial intelligence strategy and education advisory group, has begun designing a modern curriculum including AI and advanced technology for medical students.

“Our senior associate dean for academic affairs, Michael Finley, DO,  has been working with MI10 for over two years to explore how an AI-based curriculum could be incorporated into medical school training. The MI10 curriculum focus areas will be introduced to proposed KHSC-KansasCOM students in a highly engaging way to equip and empower graduates for the practice of medicine they will eventually enter,” said Dr. Dickerman. In addition to AI as an advanced technology, the curriculum will include healthcare economics and finance, entrepreneurship, precision medicine, and leadership to prepare future physicians to provide optimal care in 2040 and beyond.

With the goal of opening for the 2022 academic year, the proposed KHSC-KansasCOM is currently working through the accreditation process. The school will sit in a historic 90-year-old building at 230 E. William and 130 S. Market, and the campus will include an osteopathic skills training center, standardized patient teaching rooms, large lecture halls, small group study rooms, a virtual anatomy lab and much more.

“Our vision is to build a forward-thinking medical school that becomes a world-class training hub for osteopathic physicians. To achieve this goal, we are incorporating a whole-person approach to treatment and care with a curriculum that’s innovative, patient-focused and community-based,” said Tiffany Masson, Psy.D., president of KHSC.

The proposed KHSC-KansasCOM is an affiliate of TCS Education System, a nonprofit system of colleges advancing student success and community impact. Learn more at kansashsc.org.

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About Kansas Health Science Center:

Kansas Health Science Center is a nonprofit organization committed to training well-prepared physicians and health care leaders who will positively contribute to the overall well-being of our communities. With the goal of opening the proposed Kansas Health Science Center – Kansas College of Osteopathic Medicine in 2022, KHSC strives to positively impact the health landscape in Wichita and the state of Kansas through directly addressing the disparity in access to healthcare. Learn more at kansashsc.org.

Case Study: Baptist Health

Hospitals and health systems are starting to embrace data science and artificial intelligence as an essential resource for the future of healthcare. While a few hospitals have started artificial intelligence projects in several sectors, most hospitals do not have a clear direction on how to deploy artificial intelligence nor a coherent artificial intelligence strategy to centralize efforts in deploying data science and artificial intelligence throughout the organization.

As an example of a successful partnership with a health system, we wanted to share this case study.


Need: A health system, which includes multiple hospitals, was interested in implementing new AI technologies and preparing the leadership team to make the necessary changes that effectively make use of current and future AI offerings.        

Description: MI10 conducted an extensive, multi-part evaluation of the organization, its leadership structure, and its readiness to engage in an AI partnership. Of particular interest was the possibility of robotic process automation (RPA) and an AI partner for revenue cycle management. MI10’s findings were applied into a Transformation Road Map which oversaw significant organizational changes, as well as multiple new technology partnerships with AI companies.                    

Outcome: With MI10’s guidance, the health system is engaged in the right technology partnerships with new vendors and technologies. MI10’s suggestions have been implemented, and the longer-term transformations have the system well-positioned to incorporate additional technological advancements into their systems.         

As a result of their work with MI10, the health system implemented advanced analytics with adaptive COVID-19 modelling. Thus, they were better prepared for COVID-19 through telehealth visits and enhanced online bill pay. 

CIO Review: 10 Most Promising Healthcare Consulting Companies 2021

Read the article on ciorevew.com

On the surface, healthcare and artificial intelligence (AI) appear to be a match made in heaven. With its qualitative and quantitative insights, AI offers solutions to some of the most pressing problems in healthcare. But, upon closer inspection, the relationship is fraught with misunderstanding and disappointment, leading to failed outcomes. Siloed departments in each world are unable to pay adequate attention to details, leading to a lack of efficient computational infrastructure, process standardization, best practices, and digital workflow design. The absence of AI technology experts who also possess an in- depth understanding of the complex world of healthcare adds to these woes.

These shortcomings create barriers to data accessibility which in turn interferes with the dissemination and implementation of AI solutions. In order to overcome these inherent obstacles, healthcare organizations need a dedicated partner who has knowledge of end-to-end care delivery, data science, and AI.

Enter Medical Intelligence 10 (MI10), an AI strategy and education consultancy that helps healthcare organizations negate these challenges and make the most of their AI investments. With ethics and education at its core, MI10 has emerged as a beacon helping to guide healthcare executives, medical educators, and AI innovators into successful medical AI partnerships. In this way, MI10 is working to bring about a new era of ethical automation- based, AI-centric healthcare delivery.

MI10 is led by Dr. Anthony Chang, a rare talent and industry veteran who has spent years building bridges between AI and healthcare. Dr. Chang is a pediatric cardiologist and a data- scientist with a sub-specialization in AI from Stanford School of Medicine. He is also the founder and medical director of the Medical Intelligence and Innovation Institute (MI3), at CHOC Children’s Hospital. His recent book, Intelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare serves as the definitive text on the subject of AI in healthcare, and he is the co-founder and chair of the newly-formed American Board of Artificial Intelligence in Medicine (ABAIM). The MI10 team is a multidisciplinary group of clinicians, AI practitioners, data scientists, and technologists. “In the absence of a CIO in the client organization, M10 consultants help organizations navigate the complex AI landscape by choosing the right partners to streamline their transformation strategy” says Dr. Chang.

The interaction begins with measuring the client’s AI readiness using the Medical Intelligence QuotientTM (MIQ™ MI10’s proprietary 11-component metric (data, science, infrastructure, cybersecurity, team, deployment, strategy, finances, engagement, leadership, and intangibles).

Based on the MIQ™ score, AI readiness is categorized as “Nascent”, “Aware”, “Ready”, “Focused”, or “Enabled”. While healthcare organizations can use the score to check for AI readiness, vendors offering AI services can also use the score to measure how well they are positioned to serve the needs of healthcare organizations.

MI10’s services are designed around a four-pronged approach of Assess, Educate, Advise, and Transform. Post-assessment, MI10 offers customized educational services to provide a solid knowledge base from both the clinical and data science perspectives. Next, the advisory services aid in developing a sophisticated AI strategy with a focus on transforming the organizational culture.

In addition to their work with healthcare providers and AI companies, M10 is working with a new medical school to redesign their curriculum to include coursework on data science, AI concepts, and AI ethics. Their goal is to prepare a new generation of medical professionals to effectively and ethically utilize AI technologies in the name of better healthcare outcomes.

MI10 also plans to introduce 30 new, video-based educational modules and a virtual workbook that will support self-paced learning.

The next decade will see widespread adoption of AI technologies and billions of dollars of expenditures. Just how effective those investments are will depend largely on how quickly the two disparate worlds of healthcare and AI can find common ground. MI10, with its unique position of expertise in both worlds, holds the key to unlocking that massive potential and bringing about better outcomes for patients everywhere.

PRESS RELEASE: MI10 to Design Artificial Intelligence-Based Medical Curriculum for Kansas Health Science Center

Medical AI Consulting Firm Aims to Shape the Future of Healthcare Education.

There is a growing consensus among thought leaders in the medical industry: artificial intelligence will become an integral tool for the next generation of healthcare providers. But many clinicians today feel ill-equipped to effectively use these new technologies. Recognizing the need to prepare prospective doctors for a changing healthcare industry, Medical Intelligence 10 (MI10), a healthcare artificial intelligence strategy and education advisory group, has begun designing an AI-based curriculum for medical students (www.mi10.ai).

The first installation of MI10’s educational modules will be at the proposed Kansas Health Science Center – Kansas College of Osteopathic Medicine (KHSC-KansasCOM) an osteopathic medical school set to open for the 2022 academic year in Wichita, Kansas (www.kansashsc.org).

“It is clear to us that artificial intelligence is becoming a vital tool in healthcare,” said Dr. Joel Dickerman, the dean and chief academic officer of Kansas Health Science Center. “We have an obligation to prepare the next generation of physicians to skillfully use that technology for the ultimate benefit of their patients.”

KHSC-KansasCOM was founded with the mission of positively impacting the health landscape through directly addressing the disparity in access to health care by training the physician of the future to provide effective, empathic, and innovative care.

MI10 has plans to introduce similar curricula in other medical and professional schools in the coming months. MI10 was founded by Dr. Anthony Chang, a renowned pediatric cardiologist and data scientist. As a long-time advocate for artificial intelligence-based solutions in healthcare, Chang noticed a strong desire among fellow clinicians to streamline healthcare data and make use of advances in the field of AI. But they lacked the data science background necessary to effectively use these kinds of technologies. Thus, MI10 was born to help bridge the gap between healthcare providers and AI solutions.

“There is very little in the current model of medical education that provides students with the kind of base-level data science concepts necessary to effectively utilize AI to its fullest potential,” Chang said. “MI10 aims to remedy that with a data science curriculum that is specifically tailored to clinicians and other healthcare professionals.”

MI10’s diverse pool of advisors includes clinicians, data scientists, and other industry experts. They are supported by a specially-designed set of proprietary tools and metrics to help them continually monitor their clients’ progress. The Medical Intelligence Quotient™ (MIQ™) is an 11-point scale that measures the ability of a school, company, or hospital to engage with AI. They also use a Super Learning Network™ (SLN™). These tools are part of an approach called Intelligence-Based Medicine™ that Dr. Chang has outlined in his book, “Intelligence-Based Medicine: Artificial Intelligence and Human Cognition in Clinical Medicine and Healthcare”.

In addition to medical and professional schools, MI10’s clients include health systems, AI in healthcare companies, and venture capital firms. MI10 regularly posts articles and video updates on topics related to AI in healthcare on their website (www.mi10.ai).

CIO Look: The 10 Most Successful Leaders Pioneering the Healthcare

After decades of incremental progress, the healthcare technology sector has seen a recent exponential uptick in innovation. This shift can be traced to a number of different converging factors—including increased processing power, the widespread availability of datasets, and access to cloud computing among them—but look closer and one uniting factor ties them together: human champions that are pushing the industry forward. Artificial intelligence is the driving force behind some of the most powerful innovations in healthcare today, and there is no greater champion for artificial intelligence in healthcare than Dr. Anthony Chang.

Exemplifying Proficiency

Dr. Chang spent the first part of his career building an impressive resume as a pediatric cardiologist. His education included stops at Johns Hopkins, Georgetown, and Children’s Hospital National Medical Center. He served as the medical director of several pediatric cardiac intensive care programs before accepting his current role as medical director of the Heart Institute at Children’s Hospital of Orange County.

A Quest for Knowledge

As his accomplishments in the realm of pediatric cardiology grew, Dr. Chang chose to follow several areas of interest and pursued additional degrees. He completed a Masters in Business Administration (MBA), and a Masters in Public Health (MPH) in Health Care Policy before seeking his Masters of Science (MS) in Biomedical Data Science with a subarea focus in artificial intelligence from Stanford School of Medicine. It was during this last educational pursuit that he found a passion that would fuel the next phase of his career.

As he writes in his book, Intelligence-Based Medicine: Artificial Intelligence and Human Cognition in Clinical Medicine and Healthcare (Elsevier), “It is estimated that about 80% of health-care data are unstructured.” In Dr. Chang’s view, this data represents a vast store of valuable insights, research and information that are essentially lost to the broader medical community. Not only does this pre vent clinicians like Dr. Chang from using this information to help guide their practice, but, more importantly, it deprives patients of valuable insights that might create better treatments.

With his newly-acquired expertise in data science, Dr. Chang realized that there was only one way to harness that data and information: by leveraging artificial intelligence. Armed with his varied experience in the worlds of medicine, business, leadership, and data science, Dr. Chang set to work bringing change to the healthcare industry that would allow artificial intelligence to flourish.

Leveraging Data Science and AI in Healthcare Space

Dr. Chang recognized that he faced a number of obstacles to bring the worlds of AI and healthcare together. The healthcare industry can be notoriously slow to accept new technologies. Unlike Dr. Chang, most hospital leadership lacks the data-science background to understand cutting-edge technology like AI. And AI companies have difficulty navigating the labyrinthine world of healthcare. In order to bridge these two worlds in the pursuit of a better healthcare system, Dr. Chang founded MI10, a healthcare AI consulting firm.

In his work with MI10, Dr. Chang and his team of experts have been serving clients in a variety of realms including hospitals, AI companies, medical schools, and venture capitalists. His unique position at the nexus of these disparate worlds helps his clients to make targeted, informed decisions that can help them enter into a healthcare/AI partnership with the utmost confidence.

In addition to MI10’s mission, Dr. Chang saw a pressing need to educate clinicians in the realm of AI. To this end, he founded the American Board of Artificial Intelligence in Medicine (ABAIM). This non-profit organization provides certification and classes in the realm of AI in medicine. In the future, Dr. Chang plans to expand the organization’s certification offerings to include board certification similar to the clinical informatics board certification.

As one of the most important evangelists of AI in medicine, Dr. Chang has also founded a series of conferences on the topic known as AIMed. This multimedia educational and networking platform is especially designed for supporting the entire ecosystem of AI in healthcare and medicine for clinicians and administrators, as well as data scientists and AI entrepreneurs and companies. With AIMed, he hosts close to 20 international meetings a year.

Looking to the Future

If experts in the realm of healthcare technology are correct, artificial intelligence will reshape the industry as we know it. Estimates place the value of the industry at over $50 billion by 2027. As technologies ranging from deep learning to blockchain to natural language processing take root and spread throughout the industry, we may soon find ourselves looking back on the pre-AI healthcare system and imagining that this advancement was inevitable. But history has shown again and again that great periods of innovations are ushered in by great visionaries. Dr. Chang is one such visionary, leveraging his vast array of accomplishments, connections, and experiences to bring about a new age of healthcare.

CIO Review: 50 Most Promising Healthcare Providers in 2020

Read the full article here

With the ability to perform human tasks more efficiently and at lower costs, today artificial intelligence (AI) is showing tremendous potential in healthcare. Despite understanding this, healthcare organizations and AI companies are separated by uncertainty, unsure of available solutions and who to trust. Medical Intelligence 10 (MI10), an AI-inspired education, advisory, and consulting firm, is on a mission to remove such barriers. MI10 helps its clients attain the highest possible ROI for expenditures on AI by facilitating meaningful relationships between healthcare organizations (hospitals, payers, professional schools and societies) and AI companies. MI10 assists executive and clinician leaders in the evaluation and implementation of AI strategies in healthcare organizations. “We bring together AI domain expertise and insightful strategies that help you successfully apply AI in healthcare,” explains Dr. Anthony Chang, founder of MI10.

Dr. Chang is the chief intelligence and innovation officer (CIIO) at Children’s Hospital of Orange County. He also has a background in Artificial Intelligence with an MS in Biomedical Data Science from Stanford School of Medicine. Alongside MI10, he founded AIMed, a company that organizes events worldwide about the application of AI in medicine and healthcare. As a convener of hospital and healthcare organizations, companies with AI services, and investors in the space, Dr. Chang has a unique perspective of being in the epicentre of AI in medicine and healthcare. He realized there was a need for education, consultation, and strategy with regard to AI implementation in medicine and healthcare. Based on this need, the idea for MI10 was conceptualized. MI10 serves as an informed and connected matchmaker for all stakeholders, which include hospitals and healthcare organizations, companies and startups with AI services and investors.

MI10 continually assesses healthcare organizations and AI companies by using a proprietary 11-dimension scoring tool to determine an organization’s or company’s AI capabilities. After the final score (0-100 points) is calculated by measuring various metrics, MI10 can then help its clients formulate an AI strategy and elaborate different methods to improve their score. An essential part of guiding an organization to improve its AI capabilities involves MI10 providing onsite educational services as well as realtime consultations. They will also offer public monthly seminars on a wide variety of AI-related topics. In addition, MI10 is developing an online video series to educate its clients in the domain of AI in medicine and healthcare. The preliminary plan is to develop 25-30 learning modules that cover various topics in AI in medicine and healthcare. Dr. Chang explains that MI10 helps any healthcare organization as well as company through its cultural transformation process for artificial intelligence adoption.

Recently, MI10 entered into a longterm collaboration with a hospital in the U.S. to help them improve their capability to adopt AI solutions. After completing an on-site assessment, MI10 is now pursuing deployment and strategy formulation to enhance the hospital’s AI capabilities. Based on the MI10 scoring tool, Dr. Chang notes that most hospitals score relatively low (in the 20-60 out of 100 range). Additionally, MI10 also plans to score AI in medicine and healthcare companies with higher-scoring ones to be recommended to hospitals and healthcare organizations needing AI services. Lastly, MI10 is also available to guide companies and startups offering AI services to improve their clinical relevance and eventual success

BRILLIANT STATIONARY DESIGN

CHALLANGE

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Customer

Tristique Turpis Ltd.

What We Did

Photography / Graphic design / Web design

SUMMER SHIFT MAGAZINE

CHALLANGE

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Customer

Tristique Turpis Ltd.

What We Did

Photography / Graphic design / Web design

OLIVERA NOTE

CHALLANGE

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Customer

Tristique Turpis Ltd.

What We Did

Photography / Graphic design / Web design