AI strategy and
- Three key steps of AI strategy
- Creating an AI strategy
- AI implementation
- Organizational transformation
- Return on investment
- Centers of excellence
An AI strategy (or the lack of) is pervasive in most if not all organizations particularly in healthcare with not much more than introducing AI technology in the form of one or a few projects in the organization without coherence nor insight.
AI strategy should instead be an approach that accommodates the AI technology in a substantive and transformative way that create synergies within the organization. AI can therefore be an available central resource that can be imbued in all sectors in a myriad of ways throughout the entire organization.
In other words, AI needs to be embedded in the entire organization’s DNA in not just a few selected members or sectors but in all stakeholders and their departments. AI should be a fundamental change in the organizational culture so that it becomes a part of the mindset of members from business development to marketing as well as operations and executives in the C-suite. In essence, this creates a centralized AI focus interwoven into the many areas of the organization rather than a fragmented AI approach.
The central theme is an AI-enabled organization for optimizing processes, evaluating opportunities, and assessing customer experiences.
- Three key steps of AI strategyx
A key component often overlooked in an overall AI strategy is the AI educational agenda for members of the organization. At the center of the educational agenda is of course the vision for change for the better to answer the “why” everyone should be involved.
Instead of determining how to use artificial intelligence can be used in various areas of the organization (the proverbial hammer looking for a nail), which is the most commonly observed practice, one could use design thinking to find and define problems first and then consider deploying an artificial intelligence technology for its solution. These AI strategy maps that solve problems in various sectors can then become part of the organizational AI strategic map.
Each sector of the organization, after the aforementioned vision creation and problem definition, can select a problem that is both significant and urgent as well as straightforward to solve as an early win. In the process of these early wins, a coalition of leaders can be convened as part of this process.
This early coalition of leaders will need to create cross-functional teams that will both convene to maintain momentum as well as execute the AI projects. If and when this process is mature enough and/or an organization is sufficient is size, a third approach is an intelligence unit or center (intentionally avoiding an artificial intelligence name as human intelligence is very much needed) that is perhaps the most efficient model to galvanize all of these efforts.
This unit can be led by a single director or a coalition of leaders within the organization and serves as a “brain” to the AI transformation while encouraging swarm intelligence from all its peripheral subunits.
- Creating an AI strategyx
This section explores smart ways to ensure your projects deliver results and lead to meaningful outcomes.
Artificial intelligence (AI), with its machine and deep learning, natural language processing, and robotic process automation tools, has become an integral part of many sectors in society and now more than ever in healthcare as well.
More than 90% of healthcare executives agree that artificial intelligence improves healthcare, and healthcare AI startups raised close to $1 billion in Q4’2019 alone (Gil Press of Forbes, February 21, 2020).
With a coalition of enlightened leaders within a healthcare organization, artificial intelligence enables interdisciplinary collaboration and yields valuable dividends. Here is a list of ten common mistakes that healthcare executives can make and how to avoid them…
Strategy can be defined as a continual and creative process in which one goes from where one is to where one wants to be.In The Strategy Book, Max McKeown succinctly defines strategy as the best route to desirable ends with available means.
Michael Porter, the Harvard Business School guru on competitive strategy, reminded us that the root of the problem with strategy is that there is consistent failure to distinguish between operational effectiveness and strategy…
Data management is how data as an asset is operationalized to support the organizational strategy; it is mainly about logistics and is predominantly in the information technology (IT) domain.
Data governance, on the other hand, is more about strategy and is the policies and procedures that are in place to ensure the accuracy and safety of the organization’s data.
This governance includes the establishment of infrastructure and technology with its processes and policies as well as its leaders with authority and responsibility to ensure data quality and reliability.
As hospitals and health systems gear up for the inevitable artificial intelligence adoption, an AI strategy is becoming a necessary endeavor either as a separate strategy or as an increasingly important part of the overall organizational strategy.
While some hospital executives may feel that such a strategy is not entirely necessary, those who wish to be ahead of the AI agenda may desire to craft such an AI strategy to attain a higher chance to remain relevant in the future.
A small coalition (5-10 people) of the “AI” willing can be formed and maintained (“The Who”). Instead of a fragmented and decentralized overall approach to AI projects that may even be competing with one another, a cohesive and centralized structure of diverse stakeholders and expertise with oversight is preferred to encourage synergies amongst projects and esprit de corps between sectors in the healthcare organization.
- AI implementationx
This section explores the ingredients for success that enables AI to have a measurable and positive presence in healthcare, as well as providing examples of successfully developed and deployed systems and ethical and legal challenges
The solution has been developed by combining deep healthcare expertise and its robust AI-powered experience optimization platform technology for healthcare providers, health insurance payers, and life science companies.
Northwell Health has signed a ten-year agreement with Clinithink to use its CLiX revenue solution to improve accuracy in its revenue cycle management operations.
With 22 hospitals and over 800 outpatient facilities in its growing network, Northwell Health delivers healthcare to over two million people annually in the New York metro area and beyond, operating in more than 100 medical specialties.
In today’s culture, we glorify cancelling plans and ghosting people. Self-help gurus tell us to “serve ourselves” and grant us permission to place ourselves above all others. But how is that impacting society?
What does that mean for businesses and industries organized by appointment-based interactions such as beauty, legal, or healthcare?
International Data Corporation (IDC), a provider of market intelligence that offers global expertise on technology and trends, has released a new report that examines the rise of healthcare decision intelligence (DI) and the transformational strategic, financial, and operational outcomes it is delivering.
Ethics is increasingly important as a domain in artificial intelligence in medicine. This area is especially relevant now with COVID-19, with a myriad of issues ranging from privacy and confidentiality in digital contact and tracking data to real-time decisions in the ICU setting regarding patients in the midst of scarce resources.
- Organizational transformationx
This section is going to explore methods for moving your organization from where it is now, to where you would like to be in the future.
Machine learning and AI applications will become more common in healthcare and medicine, and those involved need the skills and expertise to develop, evaluate and incorporate these algorithms and applications.
This section explores the clinical and economical assessment of AI technology.
- Return on investmentx
AI projects should have a tangible benefit. This section explores return on investment, including reduced costs, increased revenue and improved quality of care or outcomes.
- Centers of excellencex
This section is going to explore centralized knowledge groups or teams that guide and oversee the implementation of organization-wide AI projects.
This section covers the importance of people within an AI strategy.
This section is going to explore the ways in which AI innovations are accelerating the healthcare industry.
Imagine being able to analyze data on patient visits to the clinic, medications prescribed, lab tests, and procedures performed, as well as data outside the health system and from different sources.
We’ll realize enormous benefits when we connect and integrate the vast number of data sources from siloed systems to improve patient and provider efficiency alike, while reducing costs and overcoming inequity hurdles.
One of the great innovators in cardiology and digital medicine, Eric Topol is a renowned American cardiologist, scientist and author of three bestseller books on the future of medicine. He is the founder and director of the Scripps Research Translational Institute and a professor of Molecular Medicine.
This section explores the ingredients for success that enables AI to have a measurable and positive presence in healthcare, as well as providing examples of successfully developed and deployed systems and ethical and legal challenges.
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- Website https://merative.com/merge-imaging
Merge medical imaging solutions are offered by Merative, a data, analytics and software partner for healthcare and government social services. With focused innovation and deep expertise, the Merge portfolio of intelligent enterprise imaging solutions, infused with AI on hybrid cloud, helps clients orient information and insights around the people they serve to enhance healthcare decision-making and outcomes. Merative, formerly IBM Watson Health, became a new standalone company as part of Francisco Partners in 2022.+1 844 637 2848https://www.merative.com/contact
- Website https://ai-med.io
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