The iHealth Group has a multidisciplinary team focused on serving the health informatics industry. Our team has extensive experience in this topic, leading various projects of computerization of health centers (hospitals).
Digital health transformation will enable us to improve communication with our patients, improve the safety of our processes, expand our planning capacity, reduce costs, eliminate waste and, especially, do evidence-based management.
However, we must understand that it is not technology, but strategic management that will guide us correctly to the computerization of our health processes. ICT can not be a strategic goal, but an instrument to achieve a goal.
Revolutionize how to bring health to people.
People in 1st place; Connect as health information of the world; Innovate actions through technology; Search for new business models; Integrate the entire health system; Predict health behavior; Always question!
We exceed expectations; Nothing is impossible; Less is more; Win wins; We return to the world a portion of our achievements; Inflexible Principles - Ethics, Respect, Transparency, Humanity, Humility; We are a people-based group.
The iHealth Group is available to help you with the following services
iHealth offers technical and project management consulting by adding health informatics knowledge for ICT health sector stakeholders.
Methodologies such as Lean, Scrum and Kanban are key management methodologies worked by iHealth.
Artificial Intelligence, UX, Mobile and health systems (RES and PEP) in general are part of our core knowledge.
We are aware of the challenges faced in health management, due to complex characteristics of the sector. That's why iHealth contributes to you!
The iHealth Group offers the service of building Health Information Models using the openEHR framework. This model allows us to specify and share clinical content in two layers (clinical and computational). Composed of clinical models, which consist of archetypes and templates.
These require the use of thermologies, strengthening the automated clinical process, allowing clinical decision support and suggesting options for good quality care in the form of computerized care lines.
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