Physicians spend an unnecessarily large amount of time searching clinical documents and writing clinical reports into the NIS system, instead of interacting with and caring for the patient. Modern AI technology can significantly automate this problem and create an almost “keyboard-less” system.
Hospital IS: AI-generated summaries of patient records and clinical reports
Client CountryUnited States
- Client typeEnterprise
- IndustryHealthcare, Pharma & Biotech
- Application areasData & Analytics / Business Intelligence, IT, Cybersecurity & Data Infrastructure, Operations & Process Automation
- AI technologiesGenerative AI, Multimodal AI, Speech Recognition & Synthesis
- Business impactsEmployee Enablement & Productivity, Operational Efficiency & Cost Savings
- Data typesAudio Data, Documents / Semi-structured Data, Structured Tabular Data, Textual Data, Time Series
- Delivery modelsConsulting, Custom Development, Product / Licensed Software
- DeploymentsCloud
- Key capabilitiesConversational & Language Interaction, Generative Content & Synthetic Data
- Project stagesInitial Production Deployment
- Solution formsAnalysis, Recommendation, or Report, Automated Backend Process, Conversational Interface, Multimodal Interface, Standalone Application, Web Portal / Dashboard
Solution Description
Problem description
Solution
We have developed a Smart EMR module, which (a) automatically generates structured clinical reports from patient-physician conversations, and (b) generates a short summary report from all clinical documents in the system according to the physician’s specialization.
Main Users of the Solution
Doctors, nurses and clinical staff
Project timeframe (months)
12
Technologies used
Composite AI that combines ASR, NLP, LLM, and expert systems.
Additional services
- AI strategy and roadmap
- Audit / feasibility study
- Identification and prioritization of suitable use cases
- Data collection and pre-processing
- Annotation / synthetic data / dataset extension
- AI model selection and customization
- Compliance / regulation support
- Continuous maintenance and model retraining
Use of Personal / Regulated Data
Yes
Implementation
Project Owner on the Client's Side
Top Management (C-level)
Participation on the Client's Side
- Business / Product Owner
- Domain / Process Experts
- Data & ML specialists
- Software & Data Engineering / IT Ops
- Project and change management
- Quality, security, compliance
- End users
Form of Supplier Involvement
Complete implementation
Operation and Maintenance
Operational Model
Joint management
Needed Competencies on the Client's Side
Cloud
Impact and Results
Qualitative Benefits
- Shorter time for reading and creating documentation (minutes instead of tens of minutes), lower administrative burden.
- Higher quality and standardization of records (templates, terminology, fewer errors).
- Faster discharge summaries and smoother handover of care between teams.
- Better UX for doctors, more time with the patient, lower risk of burnout.
Lessons Learned and Recommendations
Key Success Factors
- Strong team on both sides
- Early deployment and feedback from end-users
- Quality data
Recommendation for Others
Start exploring opportunities for automation and simplification of clinical workflows as soon as possible. Create solutions iteratively from small to large.
- CompanyEntentee
- ContactSeen Aquin Avila
- Emailseen.aquin@ententee.com
- Websitehttps://ententee.com
- AddressZa Poříčskou bránou 365/21, 186 00 Praha