Intelligent Systems for Sustainable Person-Centered Healthcare

This book establishes a dialog between the medical and intelligent system domains to ignite transition toward a sustainable and cost-effective healthcare. It emphasizes Person-Centered Care (PCC) and the application of Artificial Intelligence to enhance knowledge for diagnosing, treating, and rehabilitation. Intelligent systems are discussed for healthcare data analysis, decision-making, and process design, with measurement systems and efficiency evaluation models analyzing their ability to monitor person health and improve quality of life.

Format: Hardback
Length: 250 pages
Publication date: 18 February 2022
Publisher: Springer Nature Switzerland AG

This open-access book establishes a dialogue between the medical and intelligent system domains to ignite a transition towards sustainable and cost-effective healthcare. The Person-Centered Care (PCC) approach centers a person at the core of a healthcare system, rather than defining a patient solely by a set of diagnoses and treatment episodes. By leveraging the PCC-based conceptual framework, the application of Artificial Intelligence is enhanced, as it dissolves the limitations of processing traditional medical data records, clinical tests, and surveys. The inclusion of data sources characterizing personal lifestyle, health literacy, and insights derived from smart ambience and wearables data, community networks, and caregiver feedback enables the capture and utilization of enhanced knowledge for diagnosing, treating, and rehabilitation. The book delves into intelligent systems and their applications in healthcare data analysis, decision-making, and process design tasks. Measurement systems and efficiency evaluation models analyze the ability of intelligent healthcare systems to monitor person health and improve the quality of life.

Introduction:
The healthcare industry is facing significant challenges in the modern world, including rising costs, an aging population, and the increasing prevalence of chronic diseases. In response, there is a growing need for innovative solutions that can improve the quality of care while reducing costs. One such solution is the integration of intelligent systems into healthcare. Intelligent systems can help healthcare providers automate routine tasks, improve patient outcomes, and enhance the efficiency of healthcare delivery.

Person-Centered Care (PCC):
PCC is an approach to healthcare that emphasizes the importance of placing the patient at the center of care. PCC recognizes that each patient is unique and requires personalized care that takes into account their individual needs, preferences, and values. PCC involves a collaborative approach between healthcare providers and patients, with the goal of achieving optimal health and well-being.

Enhanced Application of Artificial Intelligence:
PCC-based conceptual background triggers enhanced application of Artificial Intelligence (AI) in healthcare. AI can help healthcare providers analyze large amounts of medical data, identify patterns, and make informed decisions. AI can also help healthcare providers personalize treatment plans and provide real-time feedback to patients.

Data Sources:
Inclusion of data sources characterizing personal lifestyle, health literacy, and insights derived from smart ambience and wearables data, community networks, and caregiver feedback enables the capture and utilization of enhanced knowledge for diagnosing, treating, and rehabilitation. This data can help healthcare providers develop personalized care plans that are tailored to the individual patient's needs.

Intelligent Systems and Applications:
The book discusses intelligent systems and their applications for healthcare data analysis, decision-making, and process design tasks. Intelligent systems can help healthcare providers automate routine tasks, such as medication management and appointment scheduling. Intelligent systems can also help healthcare providers analyze patient data and identify potential health risks.

Measurement Systems and Efficiency Evaluation Models:
Measurement systems and efficiency evaluation models analyze the ability of intelligent healthcare systems to monitor person health and improve the quality of life. These models can help healthcare providers evaluate the effectiveness of treatment plans and identify areas for improvement.

Conclusion:
The integration of intelligent systems into healthcare has the potential to revolutionize the way healthcare is delivered. By placing the patient at the center of care, enhancing the application of AI, and utilizing data sources to personalize treatment plans, intelligent systems can help healthcare providers improve patient outcomes and enhance the efficiency of healthcare delivery. The measurement systems and efficiency evaluation models can help healthcare providers evaluate the effectiveness of intelligent healthcare systems and identify areas for improvement.

Weight: 565g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030793524
Edition number: 1st ed. 2022