Report finds Houston is short on health care workers

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A report found that Houston has only 3.35 health care workers for every 100 residents. Getty Images

Houston may be home to the world's largest medical center, but a new study indicates the region is also home to one of the lowest rates of health care workers among major U.S. metro areas.

The study, released by credit-building loan platform Self, shows the Houston metro area has 3.35 health care workers for every 100 residents. That places Houston at No. 10 on the study's list of the major metro areas (at least 1 million residents) with the lowest share of health care workers per capita, including doctors, nurses, and therapists.

The only other major metro area in Texas sitting toward the bottom rung of the ladder is Austin, with 3.17 health care workers per 100 residents. That puts Austin at No. 4 for the lowest rate of health care workers among major metro areas.

Houston's ranking in the Self study is juxtaposed with the city's status as a world-famous health care hub. Over 106,000 people work at the more than 60 institutions within the Texas Medical Center, which includes the University of Texas MD Anderson Cancer Center, Texas Children's Hospital, and the Baylor College of Medicine.

The 1,345-acre medical complex pumps an estimated $25 billion a year into the regional economy.

Despite Houston's stature as a medical magnet, the metro area is witnessing an escalating shortage of doctors and nurses.

A 2016 report from the Texas Department of State Health Services envisions the supply of registered nurses (RNs) — the largest group of nursing professionals — will climb 38 percent from 2015 to 2030 in the Gulf Coast public health region, compared with a 60.5 percent surge in demand. That equates to a projected shortage of 13,877 RNs in 2030. The Gulf Coast region includes the Houston area.

From 2017 to 2030, the supply of primary care physicians in the Gulf Coast region will increase 19.8 percent while demand will spike 27.5 percent, according to a 2018 report from the Texas Department of State Health Services. Ten years from now, the region will suffer a shortage of 694 primary care physicians, the report predicts.

In a 2019 survey commissioned by the Texas Medical Center Health Policy Institute, about 90 percent of primary care physicians across the country predicted a shortage in their field within five years. Seventy-eight of specialty physicians anticipated a shortage of specialists.

On the consumer side, the survey found 19 percent of patients reported difficulty scheduling an initial visit with a primary care physician, and 15 percent ran into trouble setting up a new visit with a specialist.

"The best way to tell if we have a doctor shortage is by asking patients whether they can easily get an appointment," Dr. Arthur "Tim" Garson Jr., director of the Texas Medical Center Health Policy Institute in Houston, said in a 2019 release. "For now, they overwhelmingly say 'yes.'"

By 2030, Texas will experience the third largest shortage of physicians among the states (20,420 jobs), according to a study published in 2020 in the journal Human Resources for Health. Only California and Florida will see worse shortages, the study predicts. The physician shortage in Texas is being driven by a growing population, an aging population and an aging pool of doctors, according to the study.

Noting the country's growing and aging population, a study published in 2019 by the Association of American Medical Colleges predicts the U.S. confronts a shortage of up to 121,900 physicians by 2032.

The looming national shortage of RNs is also acute.

The country's RN workforce is projected to grow from 2.9 million in 2016 to 3.4 million in 2026, or 15 percent, according to the U.S. Bureau of Labor Statistics. However, the bureau predicts the need for another 203,700 RNs each year from 2016 through 2026 to fill newly created positions and to replace retiring nurses.

"With patient care growing more complex, ensuring a sufficient RN workforce is not merely a matter of how many nurses are needed, but rather an issue of preparing an adequate number of nurses with the right level of education to meet health care demands," Ann Cary, dean of the Marieb College of Health and Human Services at Florida Gulf Coast University, said in a 2019 release

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”

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