How is innovation transforming the patient experience in healthcare?
Discussions about innovation in healthcare often begin with technology: artificial intelligence, automation, interoperability, electronic health records. But in practice, the central point is different: how to make the patient's journey simpler, safer, and more predictable.
in the episode "Innovation at the service of the patient", from InsightCast, Alex Julian, CIO of Hospital Sírio-Libanês; Henrique Beltrão, Head of Advanced Analytics at Dasa; and Luiz Renato, Director of IT and Innovation at Grupo Kora Saúde.They present a structured analysis of how technology, data, and process governance are being applied to improve access, reduce operational friction, and support more consistent clinical decisions.
The debate shows that the advancement of digital health rests on three pillars: patient experience, quality of care, and system sustainability.
Where does the patient experience begin?
Contrary to what many believe, the journey doesn't begin at the hospital. It begins when the patient identifies the need for care. This could be when trying to schedule an exam, confirming insurance coverage, seeking a second opinion, or understanding the correct preparation for a procedure.
During the episode, the guests emphasize that reducing friction along the way is what generates a real perception of value. This involves:
- Simple digital scheduling
- Faster authorizations
- Integration with operators
- Access results via mobile phone.
- Clear communication about exams and procedures.
When these points are implemented, the waiting time decreases, and so does the patient's anxiety.
How is artificial intelligence being applied?
The conversation provides concrete examples of AI use in hospital and laboratory settings.
Henrique Beltrão, Head of Advanced Analytics at Dasa[The study] presented advancements in the use of models to accelerate cancer diagnoses, reducing the time between sample collection and diagnosis. In critical clinical situations, days make a difference.
Along the same lines of practical application of technology, Henrique cited the automated reading of handwritten medical orders through OCR (Optical Character RecognitionThis initiative reduces misinterpretations caused by illegible handwriting and makes the scheduling process faster and safer for the patient.
Alex Julian, CIO of the Syrian-Lebanese Hospital, also highlighted the use of LLMs (Large Language ModelsConversational tools to support physicians in consulting structured clinical protocols. The tool does not replace medical decision-making, but offers organized support based on established guidelines.
The impact is evident in the standardization of care and the speed of analysis.
What is the structural challenge of data in healthcare?
A recurring theme in the episode is the fragmentation of databases. Duplicate records, lack of unique identifiers, legacy systems, and a lack of historical standardization hinder integration.
Without structured data, any AI project operates with limitations.
Interoperability is emerging as an inevitable path. Sharing information securely avoids repeating tests, reduces costs, and improves continuity of care. The logic is similar to the Open Banking movement, adapted to the reality of healthcare.
Financial sustainability and patient experience go hand in hand when there is integration.
The professional's experience influences the patient.
Another relevant aspect was the impact of technology on medical practice. As reported Luiz Renato, IT and Innovation Director of the Kora Saúde GroupOne of the examples cited involved the high number of clicks required for a simple prescription.
Poorly designed systems increase wear and tear and reduce patient interaction time.
When automation and process organization are applied correctly, the physician regains time for clinical analysis and qualified conversation. This directly reflects on the quality of care.
What differentiates projects that work?
The discussion suggests that technology is not the main obstacle. Organizational culture, data governance, and alignment between departments are key factors.
Projects that generate results share common characteristics:
- Clarity of purpose
- Organized database
- Controlled testing before scaling
- Integration between clinical and technical areas.
- Leadership sponsorship
Innovation applied to healthcare requires coordination among multiple stakeholders, including health insurance providers, hospitals, and laboratories.
Want to watch the full episode?
Listen on Spotify – InsightCast – Innovation in service of the patient #12
