Houston health care expert shares lessons from journey of developing a telehealth MVP

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When creating groundbreaking health care technology, keeping products user friendly is a necessity. Photo via Getty Images

In the vibrant landscape of startups, the quest to build groundbreaking products can sometimes overshadow the true essence of our existence — to solve problems for our customers.

It's a trap many fall into, often leading to two common outcomes: prolonged product launches stretching over years or an unfortunate mismatch between product and market leading to startup death. But a dynamic solution exists, minimum viable products, or MVPs. MVP has propelled startups to unprecedented success.

A real-life testimony: MVP's power

Imagine a health care-focused at-home testing startup partnered with a major player. The aim: a telehealth support system for the at-home colon cancer screening. Unlike traditional telehealth services, this system required guiding members through a complex process of collecting stool samples accurately.

Challenges presented

  • Develop a user-friendly telehealth solution in five to six weeks on a limited budget and secure a high-stakes multimillion-dollar deal.
  • Carefully integrating telehealth on the existing portal for user-friendly access while aligning seamlessly with user expectations.
  • Address the complexities of Telehealth, including clinician staffing and regulatory adherence.

User Insights

User journeys and interviews confirmed the necessity for guided support during test-taking, but users showed reluctance to navigate the process independently and expressed a preference for customer support over a clinician assistant.

Interestingly, telehealth was not instinctively linked to test support, but rather to medical advice.

The birth of an MVP strategy: a catalyst for innovation

Since the main user problem was the guided support during test-taking, we created the following MVP solutions.

  • Video call integration: Direct video call button under customer support.
  • Guided messaging: Articulate call support purpose.
  • Testing guides: Portal's step-by-step guidance with videos.
  • Video guide in test kit materials.

Our MVP led us to an excellent NPS score and became a guide for our future roadmap.

Next time you build, remember this and embrace the dynamic MVP strategy — create, learn, and reiterate are the cornerstones of success in digital health product management's journey.

Here are four steps for building a successful MVP in telehealth.

  • Identify crucial user problems: Pinpoint your target customers' most pressing issue.
  • Solve a small problem simply: Initiate a straightforward solution to address a minor problem.
  • Plot the user's journey: Map out the user's path through your solution.
  • Prioritize ruthlessly: Discern the key features and prioritize with precision.
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Tanu Jain is the founder and CEO of Houston-based Digital Health Innovator, a strategic marketing firm for health care products.

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This Houston expert describes the main phases central to any innovation journey. Photo courtesy of Slalom

Houston expert: How to navigate the innovation journey — from PoC to MVP

guest column

As a technologist, one thing I learned early in my career about the technology landscape is its constant improvements and I understood that companies who kept up with those changes remain successful and competitive. However, only companies mastering a disciplined innovation framework are truly able to harness the power of emerging tech to help them solve their most complex business challenges.

Innovative solutions come in all shapes and sizes, but not all of them should come to life. Specifically, when considering digital solutions, there are a few widely accepted innovation approaches in the product engineering field. This quick guide describes the main phases central to any innovation journey.

Feasibility Study

Ideating can be fun but executing a feasibility study will ground you on what will work and what may still be science fiction. The thought here is to spend two to four weeks doing research and talking to experts to answer a few key questions that will help you determine the feasibility of your idea or concept. Through the study, you will learn how to look at it from both a technology and a business perspective. More importantly, to answer the question 'Is it even possible to accomplish your goal with this technology?'

A subject matter expert (SME) will quickly tell you yes or no and why. If you find the technology is indeed suitable, then you will move on to evaluate the business feasibility. Does it make financial sense? Does it work within established business policies? Will there be a healthy Return On Investment (ROI) within an acceptable timeline? If you find positive responses to those questions, then you should feel confident to move on to a Proof of Concept (PoC) or even jump to a Minimum Viable Product (MVP). On the other hand, if either the technology is not feasible or the solution doesn't make business sense, then you've just saved yourself a lot of time, budget, and possibly headaches.

Proof of Concept

This phase is about testing the theory and proving the hypothesis, technically speaking. You'll need to go through a Proof of Concept if the technology solution you have in mind hasn't been tested in either a lab setting or in the field. Thinking outside of the box and innovating is all about trying new approaches and solving problems in a novel way, so you'll have to spend the time and budget ensuring it will work as expected. However, you must be very careful to not get carried away.

A proper PoC should take four to six weeks, max. It should help you quickly determine whether the technology will live up to its promise or if you need to pivot to another approach. Building a team with the right skillset is vital to this process because they are the ones evaluating the proposed solution and comparing it to the expected outcomes. Any signs of discord should empower the team to stop the project, saving further investment, and should help you decide if another approach is even possible. If all criteria has been met, then move on to the MVP stage.

Minimum Viable Product

At this point, you have confirmed the solution you imagined works and you are ready to unlock its potential. But you must start small. You must prioritize all the features you want this product to have and decide what the core functionality should be. This is important because if you choose too many features to start with, you may initially spend too much money and time and may even miss a window of business opportunity you may have lined up. Hence the name of the MVP, it is a product that employs the minimum time, money, and features while still being a viable product.

In summary, if you have an innovative idea for a technology solution, I recommend you first determine whether it's feasible, both technology and business wise, through a short and focused study. If feasible, then you can put that concept to the test through a PoC and determine its desirability. If this product is indeed desirable, then moving into building an MVP will help you understand its viability – and that is how you can successfully innovate while keeping risks at bay.


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Alfredo Arvide is the director for the products and innovation practice at Slalom Consulting in Houston, where he helps clients solve their most complex business challenges by leveraging emerging technologies and applying innovative technology solutions.

A Houston startup is making it easier to connect and manage the relationship between tech freelancers and businesses with software projects. Image via Pexels

This Houston startup is changing the way companies access tech talent

freelancers unite

With the gig economy continuing to grow — especially in light of the COVID-19-caused crisis and growing unemployment — a Houston startup has created a portal for companies to access technology-focused freelancers.

FreelancingTeams, co-founded by Raj Kal, allows companies to easily search and find tech professionals for projects — as well as manage that team throughout the work. On the other side of the table, the startup is allowing the country's growing population of freelancers a platform to get picked up for jobs.

"We are changing the way we look at team building," Kal says, noting that a huge percentage of freelancers struggle to find jobs with existing resources.

Not only does FreelancingTeams act as a marketplace for tech talent, but Kal says the platform allows for project management and payment processes. While there are other talent portals — like Fiverr and Upwork — this added capability sets the startups apart from its competition.

"People come in with an idea, and they can do it from start to finish," Kal says, explaining that users don't have to find separate tools to find their team, manage the project, and price and pay for the work.

FreelancingTeams is free for clients to list and staff their projects, and a 10 to 15 percent cut comes out of the freelancer side. However, there is an option for clients to upgrade to a paid subscription option for larger, more complex projects that require additional hands-on management resources from FreelancingTeams.

With its free option, FreelancingTeams has seen a lot of interest from startups looking to build there minimum viable product, or MVP.

"We are working with a lot of startups as a Station Houston partner," Kal says. "We are helping them get their MVP done, so that when they come to our platform, we can work with them to understand the requirements and connect them to their teams."

Betsy Furler, founder of For All Abilities, a Houston-based software company aims to help businesses support employees with ADHD, Dyslexia, learning differences, and Autism, recently used FreelancingTeams to staff her MVP development project. She says using the platform made it easy to manage and test the work the freelancers were doing.

"FreelancingTeams helped me build my MVP quickly and inexpensively," Furler says. "Their quote was much less expensive than the others [I received] and the work was fantastic. Because of the platform, I also spent more time thinking through what features were needed and how to prioritize them, rather than just giving a developer or project manager a list to complete."

Outside of affordably building tech for startups, the coronavirus has greatly affected the workforce with unemployment at a historic high. This has led to an increased interest in freelancing.

"A lot of people are unemployed and are looking for alternative options," Kal says. "Freelancing is a place where we are seeing large growth."

He says he's also observing an increased interest in freelancers from large companies and even retailers who need to upgrade their online presence.

"The COVID situation has brought more challenges to bigger businesses, and they are looking for cost-effective solutions as well," Kal says.

Kal is looking to grow FreelancingTeams, which might include fundraising in the future, he says. For now, the company has a low overhead and uses freelancers on its own site to develop its technology.

"The next step for us is to grow bigger in Houston and then around Texas," Kal says.

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Houston college joins inaugural workforce accelerator supported by Google

hands-on training

Houston City College (HCC) is one of 15 community colleges from around the country to be selected for the first-ever Workforce Futures Accelerator.

The three-year effort is supported by Google.org, the tech company’s philanthropic arm, and led by the Association of Community College Trustees (ACCT), a non-profit educational organization that represents over 500 community, junior, and technical colleges. The accelerator focuses on helping colleges embed virtual, employer-sponsored training opportunities into short-term workforce training programs, giving participants access to opportunities that they might otherwise receive through internships or other "work-based learning" stints.

"The Workforce Futures Accelerator reflects the Houston City College mission of offering a high-quality, affordable education for workforce training and career development," Pretta VanDible Stallworth, HCC trustee and chair-elect of the ACCT board of directors, said in a news release. "Advancing student success and creating pathways to opportunities ensures that our students are well equipped to succeed and build a secure future in today's economy.”

Through the accelerator, HCC is tasked with fusing online project-based learning opportunities with its workforce education programs. The idea is to give students hands-on experiences working on projects sponsored by employers, allowing them to gain real-world knowledge in the process.

HCC will select two workforce programs that meet the accelerator’s criteria and insert into them into coursework. In the second and third year of the accelerator, the selected colleges are expected to scale the programs by adding instructors and programs to develop a network of to support their continued implementation.

“Participation by HCC will strengthen how we provide students with career-connected learning experiences that complement their classroom education and align with the needs of employers,” HCC Chancellor Margaret Ford Fisher added in the news release. “We are focused on ‘future forward’ strategies to meet the present and future needs of our region’s businesses.”

Two other Texas colleges were chosen to participate in the accelerator: Lamar Institute of Technology in Beaumont and Grayson College in Denison.

The remaining cohort includes:

  • Bergen Community College in Paramus, New Jersey
  • Central Louisiana Community College in Alexandria, Louisiana
  • Clark State College in Springfield, Ohio
  • Great Basin College in Elko, Nevada
  • Heartland Community College in Normal, Illinois
  • Hudson County Community College in Jersey City, New Jersey
  • Manchester Community College in Manchester, New Hampshire
  • Mesa Community College in Mesa, Arizona
  • Mohave College in Kingman, Arizona
  • San Joaquin Delta Community College in Stockton, California
  • San Juan College in Farmington, New Mexico
  • West Virginia University Parkersburg in Parkersburg, West Virginia

New report ranks Texas among top 10 states where AI could disrupt jobs

AI Workforce

A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

"States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

These are the 16 remaining occupations most exposed to AI disruption, in order:

  • Data Entry Keyers
  • Statistical Assistants
  • Office Support Workers
  • Interpreters and Translators
  • Database Architects
  • Software Quality Assurance Analysts
  • Medical Transcriptionists
  • Software Developers
  • Writers and Authors
  • Payroll Clerks
  • Web Designers
  • Miscellaneous Computer Occupations
  • Insurance Claims Processors
  • Telemarketers
  • Computer Numerically Controlled Tool Programmers
  • Bookkeeping and Accounting Clerks

A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

"Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

The top 10 states where AI could reshape the most jobs are:

  • No. 1 – Washington
  • No. 2 – Virginia
  • No. 3 – District of Columbia
  • No. 4 – California
  • No. 5 – Utah
  • No. 6 – Maryland
  • No. 7 – Colorado
  • No. 8 – New Hampshire
  • No. 9 – Texas
  • No. 10 – North Carolina
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This article originally appeared on CultureMap.com.

UH lands $1.2M NIH grant to fight superbugs using AI, quantum sensing

drug defense

The fight against antibiotic-resistant bacteria like MRSA is getting science fiction-like upgrades at the University of Houston thanks to a new four-year, $1.26 million grant from the National Institutes of Health.

The university says the recent funding brings total federal support up to $3.5 million for 11 years for the project, which uses AI and quantum-sensing technology to better understand how bacterial proteins develop resistance to drugs.

Any medical professional will tell you that one of the worst things that can happen is almost killing an infection. Bacteria that survive attacks from conventional antibiotic treatments emerge tougher, more resistant and more aggressive than before–making them much harder to treat. A good example is the superbug methicillin-resistant Staphylococcus aureus (MRSA).

UH chemistry professors Yuhong Wang and Shoujun Xu are working on this issue. They know full well that fighting superbugs requires new technology and new approaches, which is what they aim to pioneer with their new grant.

“Drug-resistant bacterial infections such as MRSA are becoming harder to treat, creating an urgent need for faster ways to understand how antibiotics and other small molecules interact with bacterial proteins,” Wang said in a news release.

Wang and Xu’s work centers around GTP, a cellular fuel that can cause tiny changes to a cell's structure when it mutates. Sometimes, those shape changes make it easier for drugs to breach the wall and attack the cells.

The UH scientists are employing AlphaFold, an AI-powered tool that can scan large molecular libraries in seconds. From these models, they can see promising drug combinations for future testing.

Once identified, the team uses their invention, super-resolution force spectroscopy, to monitor the cells. Tiny magnetic beads are attached to genetic material, then magnified to see how strong that material is when pulled. They can measure this incredible microscopic process through an atomic magnetometer, typically used in quantum physics. Combined, all these tools allow a high-definition look at how each molecule might respond to new chemical approaches.

“We're the only chemists in the world that use an atomic magnetometer for biological research,” Xu said. “It's a technique developed by physicists, and there is usually a gap between techniques developed by physicists and biological applications. Yuhong and I have been bridging that gap together for the past 10 years.”

Eventually, Wang and Xu hope to develop powerful software that can be used by drug manufacturers to model cellular responses. With enough predictive data, the software could even get ahead of superbugs’ own mutation, allowing drugs to be developed before new strains arrive.

"We want an algorithm where you input a protein sequence, score the mutation hotspots, and develop new inhibitors before a drug-resistant species even emerges," Wang added.

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