I help digital health products survive contact with real patients.
Digital care systems fail in predictable ways. Not because the technology is wrong, but because the clinical logic wasn't built for real-world variability. I help product teams find those gaps before they become patient safety problems.
About
I'm Emma Paraschiva — a clinical physiotherapist with 8 years of practice across MSK, respiratory, and paediatric rehabilitation, now working at the intersection of clinical reasoning and digital health product design.
I built the Clinical Maturity Lens after noticing the same failure pattern across digital health products: systems that work in controlled pilots and break in the field. Not because of bad technology — because of assumptions about patient behaviour that were never tested against reality.
How the Clinical Maturity Lens works.
Most digital health evaluations ask: does it work? The Clinical Maturity Lens asks: does it hold up when patients don't follow the plan?
The framework evaluates across three phases — Define, Test, and When Things Go Wrong — with Signal Integrity running as a continuous perceptual layer underneath: the system's ability to know when its inputs have become unreliable.
Severity is fixed. Likelihood is designed.
1
Exploratory
The system addresses a defined use case but hasn't been tested against real-world variability. Clinical logic is present but not pressure-tested.
2
Developing
The system handles expected variability but struggles at the edges. Escalation logic exists but has gaps. Signal integrity is partial.
3
User-ready
The system remains safe and coherent under real-world variability. Escalation boundaries are defined. Signal integrity is maintained even when inputs become unreliable.
4
Signal integrity
The continuous perceptual layer underneath all three phases. Does the system know when its inputs have become unreliable — when a patient has stopped accurately communicating their state?
Work with me
I work with digital health teams at the point where clinical reasoning meets product design — helping them find the gaps before they become patient safety problems.
Rapid Review
Standard Assessment
Full Audit
Advisory
I'm based in Romania, working remotely across the EU and internationally. For consulting enquiries, speaking, or advisory conversations:
Frequently asked questions
Common questions about the Clinical Maturity Lens and how I work.
I help digital health products survive contact with real patients.
Digital care systems fail in predictable ways. Not because the technology is wrong, but because the clinical logic wasn't built for real-world variability. I help product teams find those gaps before they become patient safety problems.
About
I'm Emma Paraschiva — a clinical physiotherapist with 8 years of practice across MSK, respiratory, and paediatric rehabilitation, now working at the intersection of clinical reasoning and digital health product design.
I built the Clinical Maturity Lens after noticing the same failure pattern across digital health products: systems that work in controlled pilots and break in the field. Not because of bad technology — because of assumptions about patient behaviour that were never tested against reality.
How the Clinical Maturity Lens works.
Most digital health evaluations ask: does it work? The Clinical Maturity Lens asks: does it hold up when patients don't follow the plan?
The framework evaluates across three phases — Define, Test, and When Things Go Wrong — with Signal Integrity running as a continuous perceptual layer underneath: the system's ability to know when its inputs have become unreliable.
Severity is fixed. Likelihood is designed.
1
Exploratory
The system addresses a defined use case but hasn't been tested against real-world variability. Clinical logic is present but not pressure-tested.
2
Developing
The system handles expected variability but struggles at the edges. Escalation logic exists but has gaps. Signal integrity is partial.
3
User-ready
The system remains safe and coherent under real-world variability. Escalation boundaries are defined. Signal integrity is maintained even when inputs become unreliable.
4
Signal integrity
The continuous perceptual layer underneath all three phases. Does the system know when its inputs have become unreliable — when a patient has stopped accurately communicating their state?
Work with me
I work with digital health teams at the point where clinical reasoning meets product design — helping them find the gaps before they become patient safety problems.
Rapid Review
Standard Assessment
Full Audit
Advisory
I'm based in Romania, working remotely across the EU and internationally. For consulting enquiries, speaking, or advisory conversations:
Frequently asked questions
Common questions about the Clinical Maturity Lens and how I work.
I help digital health products survive contact with real patients.
Digital care systems fail in predictable ways. Not because the technology is wrong, but because the clinical logic wasn't built for real-world variability. I help product teams find those gaps before they become patient safety problems.
About
I'm Emma Paraschiva — a clinical physiotherapist with 8 years of practice across MSK, respiratory, and paediatric rehabilitation, now working at the intersection of clinical reasoning and digital health product design.
I built the Clinical Maturity Lens after noticing the same failure pattern across digital health products: systems that work in controlled pilots and break in the field. Not because of bad technology — because of assumptions about patient behaviour that were never tested against reality.
How the Clinical Maturity Lens works.
Most digital health evaluations ask: does it work? The Clinical Maturity Lens asks: does it hold up when patients don't follow the plan?
The framework evaluates across three phases — Define, Test, and When Things Go Wrong — with Signal Integrity running as a continuous perceptual layer underneath: the system's ability to know when its inputs have become unreliable.
Severity is fixed. Likelihood is designed.
1
Exploratory
The system addresses a defined use case but hasn't been tested against real-world variability. Clinical logic is present but not pressure-tested.
2
Developing
The system handles expected variability but struggles at the edges. Escalation logic exists but has gaps. Signal integrity is partial.
3
User-ready
The system remains safe and coherent under real-world variability. Escalation boundaries are defined. Signal integrity is maintained even when inputs become unreliable.
4
Signal integrity
The continuous perceptual layer underneath all three phases. Does the system know when its inputs have become unreliable — when a patient has stopped accurately communicating their state?
Work with me
I work with digital health teams at the point where clinical reasoning meets product design — helping them find the gaps before they become patient safety problems.
Rapid Review
Standard Assessment
Full Audit
Advisory
I'm based in Romania, working remotely across the EU and internationally. For consulting enquiries, speaking, or advisory conversations:
Frequently asked questions
Common questions about the Clinical Maturity Lens and how I work.