Digital Health & Technology Enablement
Healthcare does not have a technology shortage. It has an adoption problem. We work the clinical and operational side of implementation — workflow, governance, training and the documentation burden — so the system you bought delivers what it promised.
The go-live is the middle of the project, not the end
per week spent on indirect patient care — order entry, documentation, interpreting results and referrals
Industry figure, not an Adelo Consulting result. Source: AMA Organizational Biopsy, 2024 (nearly 18,000 physician responses across 43 states).
Most clinical technology underperforms for reasons that have nothing to do with the software: workflow that was never redesigned, training built for a demo rather than a shift, governance that cannot arbitrate between service lines, and a documentation burden nobody measured before or after.
We do not sell or implement software. We make sure the clinical operating model around it is sound — which is usually the difference between a system that works and a system that gets worked around.
Technology that clinicians actually use.
Capabilities in digital health & technology.
EHR optimization
Post-live optimization, documentation burden reduction, order set and alert rationalization, and specialty workflow design.
Clinical AI and automation readiness
Practical evaluation of ambient documentation, predictive deterioration, imaging and scheduling tools — including the governance, monitoring and bias questions that come with them.
Virtual care and telehealth operations
Virtual nursing models, tele-critical care, remote monitoring and the staffing and licensure structures underneath them.
Clinical technology governance
Prioritization, intake, clinical informatics structure and the decision rights that prevent shadow implementations.
Workflow design and adoption
Current-state observation, future-state design, super-user structure and adoption measurement that continues past week two.
Digital health product advisory
For health tech companies: clinical validation, workflow fit, buyer reality and the operational objections your pilot will meet.
Outcomes we scope engagements against.
These are the results we design toward and measure. We commit to targets in writing at the start of an engagement, and we report against them honestly — including when we miss.
We do not publish client results we cannot substantiate or attribute. Targets on this page describe engagement design, not guaranteed outcomes.
- Documentation time per shift measurably reduced
- Alert burden and override rates lowered
- Adoption sustained past the go-live support period
- Clear governance for what gets built and in what order
- Technology decisions grounded in clinical workflow evidence
Three ways to start.
Diagnostic2–4 weeks
A focused assessment with a written finding and a ranked set of actions. Fixed fee, defined scope. Most relationships start here because it is a low-risk way to find out whether we are useful.
Sprint8–16 weeks
A defined improvement engagement against a named target — throughput, denials, turnover, survey readiness. We work alongside your team rather than around them, and we transfer the method as we go.
Embedded6–18 months
Interim leadership or sustained transformation support. Our leader carries real accountability in your operating structure, with a written mandate and measurable commitments.
Frequently engaged by
Engagements rarely stay in one service line.
Talk to us about digital health & technology.
Start with a short diagnostic. Fixed fee, a written finding, and a ranked set of actions you own whether or not you work with us again.