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  2. Behavioral health outcomes management - Wikipedia

    en.wikipedia.org/wiki/Behavioral_health_outcomes...

    The data collected through formal (typically self-report) measurement (like the PHQ-9 for depression [3]) has been used to enhance the accuracy of clinical assessments, provide a basis for treatment planning, deliver an objective methodology for tracking treatment progress, alert therapists with clinically proven guidelines to get refractory cases back on track, help prevent hospitalizations ...

  3. Nursing diagnosis - Wikipedia

    en.wikipedia.org/wiki/Nursing_diagnosis

    Nursing diagnoses foster the nurse's independent practice (e.g., patient comfort or relief) compared to dependent interventions driven by physician's orders (e.g., medication administration). [1] Nursing diagnoses are developed based on data obtained during the nursing assessment. A problem-based nursing diagnosis presents a problem response ...

  4. Data-driven model - Wikipedia

    en.wikipedia.org/wiki/Data-driven_model

    Data-driven models encompass a wide range of techniques and methodologies that aim to intelligently process and analyse large datasets. Examples include fuzzy logic, fuzzy and rough sets for handling uncertainty, [3] neural networks for approximating functions, [4] global optimization and evolutionary computing, [5] statistical learning theory, [6] and Bayesian methods. [7]

  5. Health informatics - Wikipedia

    en.wikipedia.org/wiki/Health_informatics

    An example of an application of informatics in medicine is bioimage informatics.. Dutch former professor of medical informatics Jan van Bemmel has described medical informatics as the theoretical and practical aspects of information processing and communication based on knowledge and experience derived from processes in medicine and health care.

  6. Goal-oriented health care - Wikipedia

    en.wikipedia.org/wiki/Goal-Oriented_Health_Care

    The clinical methods used to help patients clarify and achieve their health-related goals are different for each goal type though the categories are inter-related. [13] The uniting factor of this conceptual framework is that the goal is formed in a discussion involving both the patient and the health care providers prior to the development of a plan of care that is based upon the patient's ...

  7. Minimum Data Set - Wikipedia

    en.wikipedia.org/wiki/Minimum_Data_Set

    MDS assessments are required for residents on admission to the nursing facility and then periodically, within specific guidelines and time frames. Participants in the assessment process are health care professionals and direct care staff such as registered nurses , licensed practical or vocational nurses (LPN/LVN), Therapists, Social Services ...

  8. Artificial intelligence in healthcare - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    For example, a survey conducted in the UK estimated that 63% of the population is uncomfortable with sharing their personal data in order to improve artificial intelligence technology. [136] The scarcity of real, accessible patient data is a hindrance that deters the progress of developing and deploying more artificial intelligence in healthcare.

  9. SMART criteria - Wikipedia

    en.wikipedia.org/wiki/SMART_criteria

    S.M.A.R.T. (or SMART) is an acronym used as a mnemonic device to establish criteria for effective goal-setting and objective development. This framework is commonly applied in various fields, including project management, employee performance management, and personal development.