Digital Pharmacist Digest - 📏 Measuring what matters, value of quality metrics, and more

Hiya 👋

We’re back with another edition of the digital pharmacist digest!

Here are this week's links that are worth your time.

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Thanks for reading,
Kevin

📖What I'm reading

🩺💻 Health informatics and 🩺Patient Safety - Measuring what matters: refining our approach to quality indicators

"In this editorial, we attempt to define a core set of questions that could help to shape and refine the core features of an indicator set.
1. Who will be using the indicator set?
2. What questions need to be answered by the indicator set?
3. What is the underlying construct that is to be measured?
4. What is the underlying construct that is to be measured?
5. What is the cost of collecting, analysing and using this indicator set?
6. Will using this indicator set have any unintended consequences?"

🩺💻 Health informatics and 🩺Patient Safety - The Volume and Cost of Quality Metric Reporting

"Significant resources are expended exclusively for quality reporting, and some methods of quality assessment are far more expensive than others. Claims-based metrics were unexpectedly found to be the most resource intensive of all metric types.... Policy makers should consider reducing the number of metrics and shifting to electronic metrics, when possible, to optimize resources spent in the overall pursuit of higher quality."

🩺💻 Health informatics and 🤖 Artificial Intelligence - Developing, implementing and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter

"Although the role of artificial intelligence (AI) in medicine is increasingly studied, most patients do not benefit because the majority of AI models remain in the testing and prototyping environment. The development and implementation trajectory of clinical AI models are complex and a structured overview is missing. We therefore propose a step-by-step overview to enhance clinicians’ understanding and to promote quality of medical AI research."

👨‍💻 Product management - Preparing for the future

A great article describing how generative AI will impact how companies will build products in the future.

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