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Business is booming: Husband-and-wife ed-tech startup Boom Learning takes off during pandemic

It’s been a rocky road for education the past couple years as schools, teachers, students and parents all navigate the COVID-19 pandemic and the challenges it has created. Kirkland, Wash.-based Boom Learning was around before coronavirus and remote…

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Mary and Eric Oemig, the husband-and-wife team behind the education technology startup Boom Learning. (Boom Learning Photo)

It’s been a rocky road for education the past couple years as schools, teachers, students and parents all navigate the COVID-19 pandemic and the challenges it has created.

Kirkland, Wash.-based Boom Learning was around before coronavirus and remote learning, and while the startup’s digital tools are not remote-specific, the company has seen tremendous growth in the use of its Boom Cards since 2020.

Husband-and-wife team Eric and Mary Oemig started Boom Learning in 2015, but the desire to do something around education and ed-tech started much earlier.

“Our parents were both educators. We both thought we should be educators, too, but the economics sometimes don’t work out so well for teachers,” Eric Oemig said. “So we’ve taken a circuitous path there.”

Eric Oemig is a former Washington state senator who represented the 45th district from 2007 to 2011. During his time in the Senate, he was vice chairman of the Education Committee, served on the Quality Education Council and helped pass education reform in the state in 2009. Prior to joining the Senate, he spent nine years at Microsoft.

Mary Oemig attended the University of Idaho to become a teacher and has “half a masters’ in education, but she changed course and studied law at the University of California – Berkeley, became an attorney and eventually landed at Microsoft, too.

Screenshots from the Boom Cards iOS app. (App Store Images)

When her husband headed to Olympia, Wash., to serve in the Senate, Mary Oemig followed and started and ran an education co-op, where she gained a better understanding of ways to improve classroom environments.

“I’d come home and say, ‘There are just no tools out there for individualized learning. It’s so frustrating,'” Mary Oemig said. “There was no technology to take the self-grading burden off.”

She knew from an education theory and design perspective what was needed, but she didn’t have the skills to build it. So she “complained” to her husband.

“And Eric is a tech guy,” Mary Oemig said.

The couple’s first stab at an app was Mathtopia, an award-winning game designed to build math fact fluency.

Boom Learning launched a few years later as a platform and marketplace for teachers. Boom doesn’t create content, teachers do. Tech built by the Oemigs prompts and times kids, records what they’re working on and reports back to teachers.

At a base level, Boom eliminates the need to do printed assignments or grading packets. Using Boom Cards on the company’s iOS or web-based app, students get information in the moment about whether they’ve understood an activity. The Oemigs mention such services as Nearpod and Kahoot! as those with similar ed-tech offerings.

Featured decks in the Boom Cards store. (Boom Cards screengrab)

Boom Learning, which has been bootstrapped all along, makes money through various subscription offerings. It offers a Boom Cards starter plan for free, for families with no more than five kids.

The company took that free approach to another level back in March 2020 at the start of the pandemic.

The Oemigs live less than a mile from Life Care Center of Kirkland, a nursing home that was an early epicenter of the coronavirus outbreak in the U.S. From her window, Mary Oemig can see a fire station that was quarantined in those first days of the health crisis.

“We were watching the pandemic unfold right here and going, ‘You know what, this is going to get really big. We should do something,” Mary Oemig said. She told her husband that she wanted to give all Boom memberships for free through the end of that school year.

“I think there was something about being free that was somewhat magical for teachers [who said], ‘My world is burning down, I am freaking out, I’m doing remote learning and here’s this tool,'” Eric Oemig said.

Boom Learning’s revenue grew 32x by the end of 2020 and the company grew from just the Oemigs to a team of almost 20 by the end of the year.

As the Omicron COVID variant surged in Washington state and around the country starting last month, Boom again announced another free offer, which they’ve extended through the end of February as some schools face the possibility of returning to remote learning.

Reflecting back on 10 years ago when he left the state Senate, Eric Oemig remembered thinking about what he’d do after politics. He really cared about kids and education.

“Mary sat with me and said, ‘Think about how you want to make an impact. What are the things we can do?'”

Boom Learning now has close to half a million lessons and activities available in its store. In seven years, they’ve reached some 10 million students and 1.5 million teachers.

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Why the index of leading indicators failed: examining the once in a lifetime post-pandemic tailwind

  – by New Deal democratCarl Quintanilla observed the one year anniversary of the following two days ago:I’ve written previously about what confounded…

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 - by New Deal democrat

Carl Quintanilla observed the one year anniversary of the following two days ago:




I’ve written previously about what confounded that forecast. But let me highlight those issues again.

1. A 40% drop in gas prices, and a generalized 10% drop in commodity prices can do wonders for both producers and consumers.

Here’s a graph of the YoY% change in all commodities (blue), together with the YoY% change in oil prices (red, /10 for scale) going back 100 years:



The decline in commodity prices that began after June 2022 was only exceeded in the past 100 years by that during the Great Depression, the Depression of 1938, and the Great Recession. 

Here’s what absolute gas prices looked like:



So long as you don’t have wage deflation (as in the Great Depression), that is a powerful stimulant to downstream producers and consumers, who have more money freed up to spend on other things.

2. The freeing up of post-pandemic supply chains.

Not only did the un-kinking of supply chains help spur the above deflation in commodity prices, but they also provided a bigger capacity for production, particularly in the important motor vehicle industry (more on that below).

3. The slowdown in China probably also helped with the downturn in commodity prices for competing, and downstream, US producers and customers.

Good data out of China is hard to come by, but there seems little doubt that the Chinese economy has slowed sharply. Here’s the annual % change from FRED:



There is little doubt that the Chinese economy has slowed compared with its Boom years.

4. The unique post-pandemic un-kinking went directly to flaws in two very important leading indicators.

No leading indicator is perfect. The ISM manufacturing index has been around for 75 years, and had a near-flawless record of leading recessions, particularly if the total index fell below 48 and the new orders index fell below 45. But not only has manufacturing as a share of US GDP declined, but the ISM has the flaw of being an unweighted diffusion index. You count up the areas contracting vs. the areas growing, and if the former are greater than the latter, you get a reading below 50.

But because the index is not weighted, it can miss times when a downturn is broad but shallow vs. a sharp, concentrated upturn. And that’s what happened in 2022 and this year.

The below graph shows that the total index and its new orders subindex declined to recessionary territory by late last year - and have stayed there throughout this year:



But there has been a concentrated upturn in the motor vehicle industry, as shown by the below graph showing the # of light vehicle sales, industrial production of vehicles, and the $ amount of retail spending on vehicles:



All of these show a strong upturn since late 2021.

Similarly, pandemic-related bottlenecks in lumber and other production for the construction industry caused housing units under construction - the *real* economic measure of that important leading industry - to lag far more than usual behind the “official” leading indicator of housing permits:



Instead of turning down 3 or 6 months after permits, units under construction did not peak until a full year later, and even now are only down 2% from that peak.

The bottom line is that both the producer and consumer sides of the US economy benefitted since June 2022 from a gale-force tailwind, part of which was a (hopefully) once in a lifetime aftermath of a pandemic. That tailwind just happened to attack the weak points in several important leading indicators.

But as I have pointed out several times in the past few months, that tailwind almost certainly has ended.

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A cancer survival calculator is being developed using artificial intelligence

Key Takeaways  Credit: American College of Surgeons Key Takeaways  A cancer survival calculator prototype developed with machine learning showed that…

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Key Takeaways 

Credit: American College of Surgeons

Key Takeaways 

  • A cancer survival calculator prototype developed with machine learning showed that for each of three cancer types tested, more factors than cancer stage significantly influenced patients’ survival. 
  • Preliminary research on the calculator found high accuracy of this individualized survival estimator. 

BOSTON (October 20, 2023): Researchers have developed an artificial intelligence (AI)–based tool for estimating a newly diagnosed cancer patient’s chances for surviving long term, according to a study presented at the American College of Surgeons (ACS) Clinical Congress 2023. 

Currently, estimating survival rates for patients with cancer primarily depends on their cancer stage, said lead study author Lauren Janczewski, MD, a clinical scholar with ACS Cancer Programs and a general surgical resident at Northwestern University McGaw Medical Center, Chicago.  

“There is a multitude of other factors that may influence a patient’s survival beyond just their staging criteria,” Dr. Janczewski said. “We sought to develop this Cancer Survival Calculator to provide a more personalized estimate of what patients can expect regarding their cancer prognosis.” 

Using a type of AI known as machine learning, the multicenter research team created a prototype tool called the Cancer Survival Calculator and tested it on a nationwide cancer dataset. Initial tests estimated five-year survival for patients with cancers of the breast, thyroid, and pancreas. 

Study details 

According to Dr. Janczewski, this study aimed to identify the patient, tumor, and treatment characteristics that most greatly influence patient survival for each cancer type. 

After cancer experts recommended characteristics to study, the researchers collected relevant information from patients diagnosed in 2015 and 2017 with breast, thyroid, and pancreatic cancers. The patients’ records were part of the National Cancer Database (NCDB), which contains records of 72 percent of newly diagnosed cancer cases in the United States.* 

Three-fourths of the collected data were used to train the machine learning algorithms to recognize patterns between characteristics at diagnosis and patients’ survival at five years, and then to rank the factors with the greatest influence on survival. With the remaining data, the researchers used statistical methods to test the prototype’s accuracy in estimating survival. 

Key findings 

The team included data from 259,485 breast cancer patients, 76,624 thyroid cancer patients, and 84,514 pancreatic cancer patients. The researchers found multiple characteristics specific to patients, tumors, and treatments for all three cancer sites significantly influenced survival.  

The top four factors influencing whether patients were alive five years after diagnosis were as follows, by cancer site: 

  • Breast cancer: (1) whether the patient had cancer surgery, (2) the patient’s age at diagnosis, (3) tumor size, and (4) time from diagnosis to treatment. 
  • Thyroid cancer: (1) age at diagnosis, (2) tumor size, (3) time to treatment, and (4) lymph node involvement. 
  • Pancreatic cancer: (1) cancer surgery; (2) histology, or microscopic analysis of the cancer, (3) tumor size, and (4) age at diagnosis. 

Also found to be important for survival from breast cancer were hormone receptor status, which is part of breast cancer staging, and the presence of Ki-67, a biomarker in breast cancer. 

Although some of the predictive factors, such as tumor size, are part of cancer staging, Dr. Janczewski said their results showed that many more factors influence survival for cancer patients beyond their disease stage. 

Furthermore, their validation testing showed that the calculator was “highly accurate” for all three cancer sites at estimating cancer survival rates – within nine to 10 months of actual survival, Dr. Janczewski reported. 

Advantages of the new calculator 

The Cancer Survival Calculator differs in several ways from cancer survival estimators already in use, according to Dr. Janczewski: 

  1. The novel calculator includes specific tumor biomarkers and treatment variables that are known to affect a patient’s estimated prognosis, which Dr. Janczewski said many prior survival calculators lack.  
  2. The dataset used to develop the new calculator, the NCDB, is more comprehensive than other calculators’ datasets, according to Dr. Janczewski.
  3. The Cancer Survival Calculator uses new data modeling, such as machine learning, which speeds up processing. The models’ risk predictions also demonstrated improved accuracy compared with predictions generated by older calculators, she said.  

Future steps 

The next steps that Dr. Janczewski identified are to finalize a user interface that will allow the use of the Cancer Survival Calculator in clinical practice, followed by pilot testing the calculator at selected cancer centers.  

Eventually, the researchers hope to broaden the calculator by adding all other cancer sites included in the NCDB. Initially, the calculator included breast, thyroid, and pancreatic cancers because these cancers have diverse patient populations and differing frequencies and average survival rates, she said. 

The research team plans to make the finalized informational tool available to healthcare practitioners. 

Study coauthors are Joseph Cotler, PhD; Bryan Palis, MA; Tanya Hoskin, MA; Courtney Day, MS; Ryan Merkow, MD, MS, FACS; Heidi Nelson, MD, FACS; Tracy Wang, MD, FACS; and Judy Boughey, MBBCh, FACS. Mayo Clinic and the Medical College of Wisconsin were study centers with Northwestern University. 

The study authors have no disclosures. 

Citation: Janczewski L, et al. Development of a National Cancer Survival Calculator Prototype Using Machine Learning, Scientific Forum, American College of Surgeons (ACS) Clinical Congress 2023. 

___________________ 

*The NCDB is a joint program of the ACS Commission on Cancer and the American Cancer Society. The database collects more than 1.5 million new cancer cases each year. 

# # # 

About the American College of Surgeons 

The American College of Surgeons is a scientific and educational organization of surgeons that was founded in 1913 to raise the standards of surgical practice and improve the quality of care for all surgical patients. The College is dedicated to the ethical and competent practice of surgery. Its achievements have significantly influenced the course of scientific surgery in America and have established it as an important advocate for all surgical patients. The College has approximately 90,000 members and is the largest organization of surgeons in the world. “FACS” designates that a surgeon is a Fellow of the American College of Surgeons.


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An injured child’s chance of surviving improves when treated at a trauma center prepared to care for children

Key Takeaways  Credit: American College of Surgeons Key Takeaways  Trauma centers with the highest pediatric readiness scores (93 or greater) on a national…

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Key Takeaways 

Credit: American College of Surgeons

Key Takeaways 

  • Trauma centers with the highest pediatric readiness scores (93 or greater) on a national assessment have much lower death rates than centers scoring lower. 

  • All trauma centers should address gaps in pediatric emergency care — most importantly, the lack of having a pediatric-specific quality improvement plan. 

BOSTON (October 20, 2023): Children initially treated at trauma centers with the highest level of preparedness to care for children, called pediatric readiness, are significantly less likely to die than those initially treated at trauma facilities with lower pediatric readiness levels, new research shows. The findings are being presented at the American College of Surgeons (ACS) Clinical Congress 2023. 

“What happens in that first hour after injury really impacts whether you survive, so rapid access to trauma center care for kids is important,” said principal investigator Aaron Jensen, MD, FACS, trauma medical director at the University of California, San Francisco (UCSF) Benioff Children’s Hospital Oakland.  

“But most children in the United States receive initial trauma care at non-pediatric centers because they are more readily available,” Dr. Jensen said. 

Trauma centers that specialize in treating children have the comprehensive infrastructure and resources needed to care for injured children, Dr. Jensen said. Emergency departments (EDs) in centers without comprehensive pediatric capabilities must be ready to resuscitate and stabilize severely injured children and quickly transfer them to pediatric trauma centers, he noted.  

Study details 

In this study, the investigators aimed to identify a minimum threshold of pediatric readiness among trauma centers that represents the lowest chance of patient death. To do so, they used data from the 2021 national assessment administered by the National Pediatric Readiness Project (NPRP).*  

The NPRP works to ensure that all EDs in the U.S. are prepared to provide high-quality emergency care for children. It uses a voluntary survey for EDs to self-assess pediatric readiness across six domains: administration and care coordination, personnel, quality improvement, patient safety, policies and procedures, and equipment and supplies. Survey responses are used to create a weighted pediatric readiness score that ranges from zero to 100. 

The new study included 790 U.S. trauma centers, 630 of which completed the NPRP’s 2021 national assessment, contributed data to the ACS National Trauma Data Bank® (NTDB), and treated at least some children from newborns through age 15 years. Most centers were not pediatric trauma centers, Dr. Jensen said. 

The research team used ACS Pediatric Trauma Quality Improvement Program risk-adjusted models to estimate the adjusted odds of dying in each trauma center. Center-level adjusted mortality estimates were then compared across quartiles of ED pediatric readiness at the initial treating trauma center. 

Centers that reported pediatric readiness in the top 25th percentile (a score of 93 or higher) had the lowest adjusted odds of death, the investigators reported. This high-readiness quartile had 17 to 27 percent lower adjusted odds of death than any other quartile. 

Gaps in care 

Among the lower-scoring quartiles, Dr. Jensen said, “the most common deficiencies are lack of a pediatric emergency care coordinator, pediatric-specific quality improvement plan, and pediatric disaster preparedness plan.” 

The researchers found that having a pediatric-specific quality improvement plan was independently associated with significantly lower odds of death.  

Dr. Jensen stressed that the goal of pediatric readiness is not to transform every ED into a pediatric trauma center providing the full spectrum of emergency care for children. Rather, the goal is to help EDs optimize the initial care for pediatric trauma patients. Ways that EDs can improve their pediatric readiness are easy and usually inexpensive, he stated. 

“Access for kids to high-quality pediatric trauma care is an achievable goal and has a real impact on kids,” Dr. Jensen said. 

NPRP pediatric readiness scores are not publicly available. However, according to Dr. Jensen, almost every ACS-verified Level I pediatric trauma center in the study had pediatric readiness scores in the top quartile. ACS-verified trauma centers are searchable on the ACS website

Caroline Melhado, MD, a study coauthor and UCSF general surgery resident, presented this research at the conference. 

Other study coauthors: Katherine Remick, MD; Amy Miskovic, MS; Bhavin Patel, MPH; Hilary Hewes, MD; Avery B. Nathens, MD, PhD, FACS; Craig Newgard, MD, MPH; Brian Yorkgitis, DO, FACS; and Michael Dingeldein, MD, FACS. 

The study authors have no disclosures. 

Funding: This research was supported by the Health Resources and Services Administration (HRSA, #U07MC37471­01­00) of the U.S. Department of Health and Human Services (HHS) as part of the Emergency Medical Services for Children Innovation and Improvement Center. The contents are those of the authors and do not necessarily represent the official views of, nor an endorsement, by HRSA, HHS, or the U.S. government. 

This research has been accepted for publication in Annals of Surgery. 

Citation: Melhado C, et al. The Association Between Pediatric Readiness Scores and Mortality for Injured Children Treated at US Trauma Centers, Scientific Forum, American College of Surgeons (ACS) Clinical Congress 2023. 

________________________ 

* The NPRP is led by the U.S. government’s Emergency Medical Services for Children Program in partnership with the American Academy of Pediatrics, American College of Emergency Physicians, and Emergency Nurses Association. 

# # # 

About the American College of Surgeons 

The American College of Surgeons is a scientific and educational organization of surgeons that was founded in 1913 to raise the standards of surgical practice and improve the quality of care for all surgical patients. The College is dedicated to the ethical and competent practice of surgery. Its achievements have significantly influenced the course of scientific surgery in America and have established it as an important advocate for all surgical patients. The College has approximately 90,000 members and is the largest organization of surgeons in the world. “FACS” designates that a surgeon is a Fellow of the American College of Surgeons.


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