Edited by a professor at Harvard Medical School who has extensive experience in this field, this important and timely book presents a variety of perspectives on the organization of patient medical records around patient problems, presenting a more effective problem-oriented approach rather than the traditional data-oriented approach. It is comprehensive, covering the history and importance of the electronic health record, the attitudes toward and use of problem lists, strategies to improve the problem list, and applications in practice of the problem list.
Introduction. Part I: History and Importance. Bringing Science to Medicine: An Interview with Larry Weed, Inventor of the Problem-Oriented Medical Record. Medical Records That Guide and Teach. Clinical Implications of an Accurate Problem List on Heart Failure Treatment. Part II: Attitudes and Use. Clinician Attitudes Toward and Use of Electronic Problem Lists: A Thematic Analysis. Healthcare Provider Attitudes Towards the Problem List in an Electronic Health Record: A Mixed-Methods Qualitative Study. Use of an Electronic Problem List by Primary Care Providers and Specialists. Distribution of Problems, Medications and Lab Results in Electronic Health Records: The Pareto Principle at Work. Part III: Improving the Problem List. An Automated Technique for Identifying Associations Between Medications, Laboratory Results and Problems. A Method and Knowledge Base for Automated Inference of Patient Problems from Structured Data in an Electronic Medical Record. Improving Completeness of Electronic Problem Lists Through Clinical Decision Support: A Randomized, Controlled Trial. Computerized Physician Order Entry of Medications and Clinical Decision Support Can Improve Problem List Documentation Compliance . Randomized Controlled Trial of an Automated Problem List With Improved Sensitivity. Part IV: Applications of the Problem List. Incomplete Care: On the Trail of Flaws in the System. Leveraging Electronic Health Records to Support Chronic Disease Management: The Need for Temporal Data Views. Indication-Based Prescribing Prevents Wrong-Patient Medication Errors In Computerized Provider Order Entry (CPOE). Index