What to measure?

Be careful what you measure.

Periodically ask yourself, “What is this metric for?” and “Are we measuring the right thing?”

Because the metric isn’t an end in itself. It’s a means to an end.

if you’re not careful, measurement can replace thinking. It can become the thing.

Businesses often take their hands off the wheel and hand control over to a set of numbers. And even when they veer off the road—when the numbers lead them astray—they keep driving because they’re trained to myopically measure miles-per-hour, and not lift their gaze to see if the car is taking them where they want to go.

Wells Fargo fell into this trap. They put their employees under immense pressure to sell additional financial products to existing customers. The only way to meet impossible quotas was to defraud the system and fake new accounts. Wells Fargo employees “opened more than 1.5 million deposit accounts and more than 565,000 credit-card accounts that may not have been authorized.” The company had to pay $480 million to settle a class-action lawsuit for securities fraud.

The Wells Fargo scandal is an example of Goodhart’s Law at work: “When a measure becomes a target, it ceases to be a good measure.” When we’re too focused on what we measure, we can lose sight of everything else—including common sense.

The same approach should be done in health-tech as well. The technologies have to be careful what they are measuring. Telemedicine has helped to create a decentralized health care system. But is it enough to provide decent health care for everyone? Is it enough only to measure certain variables?

Today, healthcare is expensive and difficult to access for all of us. Physicians are not always available due to far distance or other circumstances. Remote nursing monitoring and remote monitoring for critical health are a requirement for the full utilization of ultrasound systems.

Using currently available medical imaging technology requires a doctor to be present and reduce the lives of people in critical conditions by a critical shortage of doctors.

PONS technology offers an intelligent software platform capable of reading medical images coming from any ultrasound probe, relieving the burden of radiologists in reading ultrasound exams. By applying neuro-network deep learning technologies, our system is able to auto-detect all the structures and tissues in the image and make reading and monitoring of the images automatically.

Patients will be able to get better, faster, and more convenient medical care and treatment as a result of easier monitoring by doctors who can do this remotely from their own homes or from remote places.