AI adoption, dissemination and implementation issues

Dissemination and Implementation Science (DIS) is a growing research field that seeks to inform how evidence-based interventions can be successfully adopted, implemented, and maintained in health care delivery and community settings.

Here is what you should know about dissemination and implementation.

Sick care artificial intelligence products and services have a unique set of barriers to dissemination and implementation.

Every sickcare AI entrepreneur will eventually be faced with the task of finding customers willing and able to buy and integrate the product into their facility. But, every potential customer or segment is not the same.

There are differences in:

1. The governance structures
2. The process for vetting and choosing a particular vendor or solution
3. The makeup of the buying group and decision makers
4. The process customers use to disseminate and implement the solution
5. Whether or not they are willing to work with vendors on pilots
6. The terms and conditions of contracts
7. The business model of the organization when it comes to working with early stage companies
8. How stakeholders are educated and trained
9. When and how which end users and stakeholders have input in the decision
10. The length of the sales cycle
11. The complexity of the decision-making process
12. Whether the product is a point solution or platform
13. Whether the product can be used throughout all parts of just a few of the sickcare delivery network
14. A transactional approach v a partnership and future development one
15. The service after the sale arrangement

Large health systems face unique, complex challenges in adopting, implementing, and operationalizing digital health tools, which stand in the way of significant potential improvements in healthcare services.

In this paper, the authors identify nine key considerations to help these organizations identify and implement digital health tools strategically.

1?? What is the optimal product selection approach?

2?? Is there a clear demonstration of ROI?

3?? Is there a clear demonstration of clinical value?

4?? What data assets are required for product functionality?

5?? Is there an internal champion??

6?? Are there executive sponsors?

7?? Does the tool align with institutional priorities?

8?? What resources are required for implementation?

9?? Does the tool have a long-term operational home?

10. What is the burnout impact factor?

11. How will using AI impact workflow?

12. What are the legal and ethical challenges?

The development and deployment of “educational pathways and materials” for healthcare staff on the use of AI is the main recommendation from an NHS report.

The ‘Understanding Healthcare Workers’ Confidence in AI’?report is the first of two reports to be released in light of the?Topol Review in 2019?which recommended the use of digital technologies such as AI and robotics to achieve digital transformation.

The report, which was developed by Health Education England and NHS AI Lab, explores?the confidence healthcare workers have in AI and what could drive that to help support the further implementation of AI within the NHS. It suggests that clinicians require training and education opportunities to help manage the gap between their opinion or intuition on a patient’s condition and the recommendations made by AI technology.

“The main recommendation of this report is therefore to develop and deploy educational pathways and materials for healthcare professionals at all career points and in all roles, to equip the workforce to confidently evaluate, adopt and use AI,” the report states.

Here is what Sales Navigator won't tell you.

Here is why ColdLinking does not work.

When it comes to AI product marketing and sales, when you have seen one successful integration, you have seen one process to make it happen and the success of the dissemination and implantation that creates the promised results will vary from one place to the next.

What should be your AI dissemination strategy and how will you execute it? ??

According to one consultant, just because a strategy is formulated, doesn’t mean it’s ready for hand-off to the front-line for execution. Instead of reactively addressing failures during implementation, leaders need to examine whether the strategy was on solid footing in the first place. This requires stripping away assumptions to avoid four core errors, which often plague a strategy’s feasibility for being put in practice: 1) not understanding the problem; 2) not understanding the organization’s capabilities; 3) not understanding the immovable pressures; and 4) not understanding the cultural landscape. Examine whether the strategy considers the context in which it must be executed, as this is where uncertainty proliferates, and address potential pitfalls preemptively. This will ensure the team has the tools to deliver the hoped-for results. Successful strategy execution is a product of the fastidiousness of the plan itself.

A strategy won't work unless there is buy in. The Expectancy theory states that employee's motivation is an outcome of how much an individual wants a reward (Valence), the assessment that the likelihood that the effort will lead to expected performance (Expectancy) and the belief that the performance will lead to reward (Instrumentality). In other words, WIIFM and when will I get it?

Do your homework. One size does not fit all.

Arlen Meyers, MD, MBA is the President and CEO of the Society of Physician Entrepreneurs

Updated 11/2022