Related Experiment Video
Updated: Feb 25, 2026
07:31
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
8.2K
Automated problem list generation and physicians perspective from a pilot study
Murthy V Devarakonda1, Neil Mehta2, Ching-Huei Tsou1
1IBM Research, USA.
International Journal of Medical Informatics
|July 29, 2017
Summary
Automated problem list generation using AI shows promise. A pilot study found AI-generated lists were rated higher than existing EHR lists and identified missed patient problems.
Area of Science:
- Medical Informatics
- Artificial Intelligence in Healthcare
- Clinical Decision Support
Background:
- Electronic Health Record (EHR) problem lists are often inaccurate, duplicative, and outdated.
- Accurate problem lists are crucial for patient-centered care.
- Advances in machine learning and natural language processing (NLP) offer potential for automated problem list generation.
Purpose of the Study:
- To describe an automated problem list generation method using NLP and machine learning.
- To assess physicians' evaluation of AI-generated problem lists compared to existing EHR problem lists and physician-curated lists.
Main Methods:
- A pilot study evaluated the Watson method for generating problem lists from clinical notes and structured EHR data.
- 15 de-identified patient records were reviewed by internal medicine physicians.
- Physicians compared the usefulness of their own curated lists (P), Watson-generated lists (W), and existing EHR lists (E) on a 10-point scale.
Main Results:
- Physicians rated their own curated lists (P) highest.
- Watson-generated lists (W) were rated higher than existing EHR lists (E).
- In 89% of assessments, Watson identified important problems missed by physicians.
Conclusions:
- AI-powered cognitive computing systems can potentially create accurate, up-to-date problem lists.
- Automated problem list generation may improve efficiency, clinical decision support, and patient care quality.
Keywords:
Electronic health recordsIBM WatsonLongitudinal patient recordsMachine learningNatural language processingProblem listMore Related Videos
Related Concept Videos
01:26Methods of Documentation II: POMR
1.5K
The Problem-Oriented Medical Record (POMR) revolutionized medical record-keeping by introducing a systematic approach focusing on the patient's problems rather than merely listing symptoms. Dr. Lawrence Weed's introduction of this method in the 1960s marked a significant advancement in medical documentation. The POMR framework consists of four key components: the database, problem list, plan of care, and progress notes.
1.5K
01:21Methods of Documentation III: PIE
2.1K
Problem-intervention-evaluation (PIE) is a systematic approach to documentation used in healthcare settings for clinical decision-making and patient care planning. It is a structured approach to organizing patient data based on problems, interventions, and evaluations. Here's a breakdown of its key features and considerations:
2.1K
01:10Documentation of Nursing Diagnosis
1.9K
The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
1.9K
01:15Methods of Documentation VI: Case Management Model
979
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
For example, a patient with a chronic...
979
02:07Blind Procedures
13.7K
Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...
13.7K