Dawn Bailey’s picture

By: Dawn Bailey

‘What would be important to you in the care of your daughter?” John Chessare, president and CEO of Baldrige Award-recipient GBMC HealthCare (GBMC), asked a virtual Quest for Excellence conference audience.

“The No. 1 answer is always that people want the best possible health outcome for their loved one; but that’s not enough,” Chessare said. “It’s also of the highest importance that we treat our loved ones with compassion and kindness, that we eliminate inordinate waiting and confusion, and we roll all of this into the best possible satisfaction with the way the care is delivered.”


Credit: GBMC HealthCare System

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By: Ann Brady

Innovation is the fuel that drives a successful business. Organizations that give their managers and employees the tools to respond to and make the most of opportunities, both internal and external, are well placed to grow profits, improve the health and well-being of their employees, and thereby, the wider society.

With effective innovation management systems in place, organizations both large and small not only can be in a better position to achieve their business growth goals, but also more agile and better prepared in their response to unexpected challenges and disruptions. But how does this hold up against a global health crisis?

Mayank Kejriwal’s picture

By: Mayank Kejriwal

Imagine you’re having friends over for lunch and plan to order a pepperoni pizza. You recall Amy mentioning that Susie had stopped eating meat. You try calling Susie, but when she doesn’t pick up, you decide to play it safe and just order a margherita pizza instead.

People take for granted the ability to deal with situations like these on a regular basis. In reality, in accomplishing these feats, humans are relying on not one but a powerful set of universal abilities known as common sense.

As an artificial intelligence researcher, my work is part of a broad effort to give computers a semblance of common sense. It’s an extremely challenging effort.

Multiple Authors
By: Boris Babic, Sara Gerke, Theodoros Evgeniou, I. Glenn Cohen

For many of us, our electronic device can be a communications lifeline, entertainment system, and professional networking hub. If trends continue, it may become our health advisor as well.

Direct-to-consumer (DTC) medical apps are a growing segment of the $10 billion market for healthcare solutions, incorporating machine learning (ML) and artificial intelligence (AI). Most are designed to flag symptoms that may require attention from a healthcare professional. For instance, the Apple Watch’s heartbeat sensor periodically checks for irregular rhythms associated with atrial fibrillation (AFib), a disorder that can cause strokes and hospitalization.

Despite their increasing accessibility to consumers, these apps have yet to generate much interest from regulators. At first glance, this may seem sensible. The apps do not claim to dispense advice or treatment, but rather notifications of possible early warning signs.

It is short-sighted, however, to let DTC medical apps slip under the regulatory radar. As we describe in a recent article for Nature, they could turn out to have costs that insurers or taxpayers might ultimately be responsible for.

Edis Osmanbasic’s picture

By: Edis Osmanbasic

In June 2021, Google enriched its Google Cloud Platform with Visual Inspection AI, an artificial intelligence (AI)-driven, purpose-built solution designed to quickly and accurately detect defects and errors in a variety of production pipelines.

It is a continuation of Google’s previous efforts to capitalize on the manufacturing industry, which the company has recognized as one of the key target industries for its growth. Strong demand for improvements comes especially from high-tech industries, which are wasting resources and money trying to reduce faults and errors in the production cycle.

Some of these companies are already using machine-learning solutions, including Google’s AutoML, to tackle this problem, but visual inspection proved to be an especially demanding task with much potential for improvement. Google published some of the results from its studies, focusing on the electronics industry, automakers, and consumer packaged-goods manufacturers, citing potential savings in production from tens of millions, to even hundreds of millions, of dollars yearly.

Zach Winn’s picture

By: Zach Winn

This story was originally published by MIT News.

For small healthcare groups like dentist’s offices, one sick staff member can mean a day’s worth of cancelled appointments. Such offices can either continue short-staffed, which could negatively affect patient care, or reschedule appointments, potentially delaying critical procedures and screenings.

The MIT alumnus-founded Stynt is solving that problem by helping healthcare offices fill last-minute shift openings for positions including dental hygienists, assistants, office managers, and dentists. Stynt’s online platform lets offices post openings that qualified professionals can then bid on.

“We’re a software-as-a-service marketplace with a focus on healthcare staffing,” founder and CEO Alex Adeli says. “We provide healthcare facilities with credentialed professionals extremely fast, in most cases within 15 minutes or less. These offices get direct access to certified professionals who are seeking open positions in their area of expertise, at their desired pay rate, within their preferred geography.”

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By: Dileep Thatte

In 2018, the United Nations General Assembly proclaimed that, every year, June 7 would be celebrated as World Food Safety Day. In 2020, the World Health Organization (WHO) and the Food and Agriculture Organization (FAO) of the United Nations decided to jointly facilitate the observance.

The purpose of this day is to “inspire action to help prevent, detect, and manage foodborne risks, contributing to food security, human health, economic prosperity, agriculture, market access, tourism, and sustainable development.” It also reminds us all why improving food safety is important.

The WHO estimates that each year, unsafe food causes 600 million cases of foodborne diseases and 420,000 deaths worldwide. Of this number, 30 percent of foodborne deaths occur among children under 5 years of age. According to the Centers for Disease Control and Prevention (CDC), 48 million people get sick, 128,000 are hospitalized, and 3,000 die from foodborne diseases each year in the United States.

William A. Levinson’s picture

By: William A. Levinson

Part one of this article showed that it is possible, by means of a Visual Basic for Applications program in Microsoft Excel, to calculate the fraction of in-specification product that is rejected by a non-capable gage, as well as the fraction of nonconforming product that is accepted. This calculation requires only 1) the process performance metrics, including the parameters of the distribution of the critical to quality characteristic, which need not be normal; and 2) the gage variation as assessed by measurement systems analysis (MSA).

Part 2 of the series shows how to optimize the acceptance limits to either minimize the cost of wrong decisions, or assure the customer that it will receive no more than a specified fraction of nonconforming work.

Multiple Authors
By: Tom Siegfried, Knowable Magazine

This story was originally published by Knowable Magazine.

From the earliest days of their evolution, guts and brains have been the best of friends.

It’s a mutually beneficial relationship. Guts prepare nourishment for delivery to the brain. And brains guide the behaviors needed to fill the gut with raw materials.

Even today, the primitive need to serve the gut’s hunger remains implanted in the human brain’s blueprint for directing behavior. But nowadays, food sometimes drives the brain to behave in ways that aren’t as useful for survival as the original evolutionary programming. In recent decades a mismatch has evolved between the food available to hungry humans and the brain circuitry designed to acquire it. Instead of scrounging for scarce sources of high-quality calories as in the era of hunting and gathering, modern humans are flooded with a glut of ultraprocessed foods, designed to appeal to the brain’s ancient evolutionary imperatives—whether the body needs the food or not.

William A. Levinson’s picture

By: William A. Levinson

IATF 16949:2016 clause 7.1.5.1.1 requires measurement systems analysis (MSA) to quantify gage and instrument variation. The deliverables of the generally accepted procedure are the repeatability or equipment variation, and the reproducibility or appraiser variation. The Automotive Industry Action Group1 adds an analytic process with which to quantify the equipment variation (repeatability) of go/no-go gages if these come in specified dimensions, or can be adjusted to selected dimensions.

The anvils of a snap gage can, for example, be set accurately to specified dimensions with Johansson gage blocks. Pin gages (also known as plug gages), on the other hand, come in small but discrete increments. If the precision to tolerance (P/T) ratio is greater than the generally accepted target, the gage cannot distinguish reliably between good and nonconforming product near the specification limits. This means nonconforming work will reach internal or external customers, while good items will be rejected, as shown in figure 1 below.

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