Three Steps to Digital and AI Transformation | Human-Centered Change and Innovation

GUEST POST from Arlen Meyers

In his book, The Four Steps to the Epiphany, Steve Blank described what has become the gospel of lean startup methodologies: Customer validation, customer discovery, customer creation and company building

The path to sickcare digital transformation is a bit shorter, but certainly no less difficult and plagued by failure: Personal innovation readiness, organizational innovation readiness and digital/AI transformation.

PERSONAL INNOVATION READINESS

What are some standards and metrics you can us to measure your innovation readiness e.g. in the use of artificial intelligence in medicine?

The American National Standards Institute (ANSI) has released a new report that reflects stakeholder recommendations and opportunities for greater coordination of standardization for artificial intelligence (AI) in healthcare. The report, “Standardization Empowering AI-Enabled Systems in Healthcare,” reflects feedback from a 2020 ANSI leadership survey and national workshop, and pinpoints foundational principles and potential next steps for ANSI to work with standards developing organizations, the National Institute of Standards and Technology, other government agencies, industry, and other affected stakeholders.

The newly developed Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS) was found to be valid and reliable tool for evaluation and monitoring of perceived readiness levels of medical students on AI technologies and applications. Medical schools may follow ‘a physician training perspective that is compatible with AI in medicine’ to their curricula by using MAIRS-MS. This scale could be benefitted by medical and health science education institutions as a valuable curriculum development tool with its learner needs assessment and participants’ end-course perceived readiness opportunities.

As an important step to ensure successful integration of AI and avoid unnecessary investments and costly failures, better consideration should be given to: (1) Needs and added-value assessment; (2) Workplace readiness: stakeholder acceptance and engagement; (3) Technology-organization alignment assessment and (4) Business plan: financing and investments. In summary, decision-makers and technology promoters should better address the complexity of AI and understand the systemic challenges raised by its implementation in healthcare organizations and systems.

ORGANIZATIONAL INNOVATION READINESS

Giffford Pinchot, who originated the term “intrapreneur”, has suggested that you rate your organization in several domains to see whether your innovation future looks bright or bleek:

If you ask a sample of people to rate these in your company on a scale of 1-10, don’t be surprised if the average equals somewhere between 2-4. Few organizations, you see, are truly innovative or have a truly innovative culture. Most don’t even think about how to bridge the now with the new, let alone measure it.

Do a cultural audit. Creating a culture of innovation must include SALT and PRICES

AND

DIGTAL/AI TRANSFORMATION

Image Credit: Pixabay

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