How to Validate a Digital Health Platform Before You Build It

By Your Health Magazine Contributor

Your Health Magazine Contributor

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How to Validate a Digital Health Platform Before You Build It

The most expensive line of code is the one written to answer a question that could have been answered by talking to twenty people. In digital health, that mistake can be particularly costly. A platform may need to work for patients, healthcare providers, administrators, and other participants, each with different needs and expectations.

Discovery is the process of resolving those questions before investing heavily in development. For founders building healthcare marketplaces, provider directories, telehealth platforms, wellness applications, or other multi-sided health technologies, early validation can reveal whether the proposed service solves a genuine healthcare problem.

What follows is a practical framework for testing a digital health platform concept before building it.

Step One: Define the Healthcare Interaction

Before anything else, describe one complete interaction in plain language. Who is the patient or user? What health or healthcare need brings that person to the platform? Which provider or organization responds? What information must be exchanged? Who makes the final decision? When does payment occur? What can go wrong?

Just as importantly, determine how people currently solve the problem without your platform.

For example, a platform designed to connect patients with physical therapists should establish how patients currently find therapists, whether referrals are required, how appointments are scheduled, and what information patients need before choosing a provider.

This exercise frequently exposes gaps before development begins.

Step Two: Interview Patients and Providers Separately

Healthcare platforms often serve at least two groups, and their needs should not be assumed to be identical.

Provider-side conversations might examine appointment capacity, patient acquisition, administrative burden, reimbursement, scheduling, and current referral channels.

Patient-side conversations should focus on the healthcare problem itself: How did the person find care previously? What made the process difficult? How long did it take? What information was missing? What prevented the person from obtaining care sooner?

Three rules can improve interview quality:

• Ask about previous experiences rather than hypotheticals. “Walk me through the last time you tried to find this type of healthcare provider” generally produces more useful information than “Would you use an app that…?”
• Identify the real burden. Cost matters, but healthcare consumers may also experience long waits, confusing insurance requirements, transportation problems, limited provider availability, or difficulty determining which specialist they need.
• Continue until patterns emerge. Repeated answers can reveal which problems are common enough to justify solving.

Step Three: Understand the Healthcare Market

A digital health platform’s viability depends on more than whether people like the idea.

Several structural questions should be investigated before development:

• Frequency. How often will patients realistically need the service? A therapy platform may support recurring visits, while a platform for finding a surgeon may involve infrequent interactions.
• Provider availability. Are enough qualified providers available in each geographic area or specialty?
• Search difficulty. How difficult is it currently for patients to identify an appropriate provider or service?
• Cost and payment. Will patients pay directly, will insurance be involved, or will providers or healthcare organizations pay for access?
• Trust. What credentials, licensing information, privacy protections, reviews, or other information will users need before they feel comfortable using the service?

Healthcare adds another consideration: regulatory and privacy requirements can affect the product from the beginning. A platform that handles protected health information or facilitates clinical services may face requirements that a conventional consumer marketplace does not.

Step Four: Test the Riskiest Healthcare Assumption

Every digital health concept depends on assumptions. The most important one to test first is the assumption that would make the entire platform unworkable if it proved false.

Common examples include:

• Patients have difficulty finding this type of provider. Interview people who recently sought that care and document how they found it.
• Providers want another source of patients. Present the actual proposed service to qualified providers and determine whether they would participate.
• Patients are comfortable receiving this service virtually. Test the concept with a small, appropriately structured pilot before investing in a complete telehealth platform.
• Healthcare professionals will use the proposed workflow. Walk providers through it before automating the process.

Testing the hardest assumption first can prevent months of development around a healthcare service that patients or providers do not actually need.

Step Five: Design the Minimum Useful Health Platform

The first version does not need every planned feature. It needs enough functionality to determine whether the core healthcare interaction works.

Depending on the service, that might include:

• A way for patients to describe what type of care or service they are seeking.
• A way for qualified providers to participate.
• A method for matching patients with appropriate services or providers.
• A scheduling or contact process.
• Clear information about costs when applicable.
• Privacy and security protections appropriate to the information being collected.
• An administrative system for resolving problems.

Features such as sophisticated search algorithms, extensive dashboards, native mobile applications, automated matching, and other enhancements can wait until the underlying healthcare interaction has been validated.

Step Six: Define What Success Means

Before launching a pilot, determine what would demonstrate that the platform is actually improving access or solving the identified problem.

Depending on the platform, useful early measures might include the percentage of users successfully connected with an appropriate provider, appointment completion, time required to find care, provider participation, repeat use, or patient satisfaction.

Healthcare platforms should also watch for unintended friction. A system that generates large numbers of registrations but rarely results in patients reaching appropriate care may not be solving the problem it was designed to address.

How Long Should Digital Health Discovery Take?

The appropriate discovery period depends on the complexity and regulatory requirements of the healthcare product. However, an initial period of focused interviews, workflow analysis, market research, and concept testing can answer many fundamental questions before full development begins.

Teams that treat discovery as a distinct phase — an approach used by product studios working in digital development, including https://www.u1core.com/ — can use those findings to determine what actually needs to be built rather than beginning with assumptions.

For healthcare products, that distinction is especially important. Technology should make it easier for people to obtain information, communicate with providers, manage care, or access appropriate services. Building more software is not necessarily the goal; building technology that addresses a demonstrated healthcare need is.

Discovery is therefore not simply a delay before development. Done properly, it can help digital health companies identify genuine patient and provider needs, eliminate unnecessary features, and focus development resources on technology that has a practical role in improving the healthcare experience.