Human-Centered AI For Better Health Outcomes

Human-Centered AI For Better Health Outcomes

Health care has come a long way and with the integration of artificial intelligence, ML and NLP, clinicians can derive insights from data faster.

Health care has come a long way and with the integration of technologies including artificial intelligence, machine learning┬╣ and natural language processing, clinicians derive insights from data with better outcomes. At the same time, the adoption of technology in healthcare has faced challenges with health care providers unable to harness the** power of technology** to address patient problems.

Human-centered design is one framework gaining traction in the health care world, with physicians using frameworks to understand patient problems and address them. The human-centered model **has the interest of patients and enables collaboration and communication. Simply put, human-centered design┬▓** brings together all stakeholders including patients, clinicians and technology to offer seamless experiences across the board.

Problem-solving is the biggest hurdle facing health care today and this is where human-centered design steps in. From a human-centered design perspective, we go from purpose to means with electronic health records┬│ a good example. EHR systems are sometimes poorly designed from the user perspective where they unintentionally serve as a data repository for clinical information.

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