MVŠO
JMC
Joint Academic Project · Healthcare AI Innovation
Solving the administrative burden with AI. Today, doctors don't only treat patients — they write notes, enter data, update files, and create prescriptions.
During a short visit, the doctor needs to listen to the patient and understand the problem.
The fraction of consultation time spent in genuine human dialogue.
The majority of the visit is consumed by data entry and EHR updates.
Doctors spend a disproportionate amount of time on documentation instead of talking with patients.
— Naamati-Schneider et al., 2024High workload causes burnout — a cascade of consequences for the entire healthcare system.
Routine clinical duties combined with heavy data entry create constant pressure.
Extending the workday to complete required documentation creates chronic exhaustion.
Triggering a critical shortage as physicians consider leaving the profession entirely.
When doctors have less time with patients, both empathy and safety suffer.
Patients come worried and stressed. They need not only treatment, but also support and human connection. When doctors focus on the computer, they cannot give this kind of care.
Empathy drops by up to 27% under stress, fundamentally altering patient-physician relationships.
(Di Lorenzo et al., 2025)Medical errors (driven by burnout) are a leading global cause of death.
(Garcia et al., 2019)Two regions, two stages of adoption — both facing the same challenge.
Hospitals already use speech-to-text technology that summarizes appointments.
Leadership recognizes the immediate need to reduce physician workload.
Initial-stage implementation in Israeli systems, not yet at full use.
Practical integration into daily practice remains the primary hurdle.
Six external forces shaping the global healthcare crisis.
Strict KPIs force hospitals to "prove" productivity via endless reporting.
Budget constraints prevent hiring admin staff; paying MD salaries for clerical work.
Society demands digital transparency, clashing with Human-Centric Medicine.
Slow technology requires duplicate data entry across software.
The Double Burden of paper archives and digital servers.
Defensive Medicine drives over-documentation to prevent lawsuits.
Compare the two main approaches to solving the documentation burden.
Delegating documentation to medical secretaries during the patient visit.
High hiring, onboarding, and ongoing training costs.
Introduces a third party, reducing privacy for sensitive disclosures.
Subject to human error, fatigue, and inconsistency.
An integrated AI system that listens, transcribes, and summarizes consultations.
Auto-saves vital information into structured files.
Analyzes symptoms and reviews patient medical history.
Drafts full treatment plans, prescriptions, and referrals.
AI exhibits exceptional diagnostic accuracy, surpassing human benchmarks.
(Zhou et al., 2026)AI mitigates human cognitive limitations, processing data without fatigue.
(Greengrass, 2026)The AI Medical Scribe runs silently in the background. The doctor speaks naturally — the AI captures, structures, and prepares the medical record automatically.
Picks up nuance and meaning
Distinguishes Doctor vs. Patient
Understands clinical language
Four steps from conversation to approved medical record.
Device on desk. AI works quietly in the background. Zero screen interaction.
Instantly converts messy information into structured notes.
Suggests diagnoses, drafts prescriptions, cross-checks medical history.
Doctor reviews in 30 seconds, edits if needed, clicks 'Approve'.
Hospital leadership must act as the engine for change.
Training costs offset by long-term ROI.
Workshops eliminate technological resistance.
Acts as Clinical Co-Pilot for real-time decisions.
Drives toward True Paperless Model.
Human-in-the-Loop retains physician liability.
The AI Medical Scribe is not about replacing doctors. It's about giving them back time, attention, and human connection.
Explore the Sources →
A joint academic research presentation — exploring how AI can return time, attention, and empathy to clinical medicine.
This research project would not have been possible without the dedication and inspiration of our teachers and the support of both partner institutions.
A joint academic research project · 2026 · Bringing the doctor back to the patient.
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