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Results for “Medical Records Systems, Computerized”

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At least 523 records · Page 29Linked to original sources
PubMed2003

Report: CPOE adoption a long-term process.

Report may be first to focus on community hospitals. Key measure in hospital selection was physician adoption rate. Community hospitals face additional challenges since physicians are not employees.

California↗
PubMed2003

Multi-hospital information network improves care for uninsured.

When people come to a hospital's emergency department for treatment, they don't bring their medical records with them. That means physicians and nurses either have to spend valuable time looking for information on the patients, or they have to run diagnostic tests, which may duplicate tests that have already been done somewhere else. Four health care organizations in New Haven, CT, have developed a solution to improve electronic access to health records and reduce the expense of duplicate tests.

Connecticut↗
PubMed2003

Monitoring pharmacy expert system performance using statistical process control methodology.

Automated expert systems provide a reliable and effective way to improve patient safety in a hospital environment. Their ability to analyze large amounts of data without fatigue is a decided advantage over clinicians who perform the same tasks. As dependence on expert systems increase and the systems become more complex, it is important to closely monitor their performance. Failure to generate alerts can jeopardize the health and safety of patients, while generating excessive false positive alerts can lead to valid alerts being dismissed as noise. In this study, statistical process control charts were used to monitor an expert system, and the strengths and weaknesses of this technology are presented.

Clinical Pharmacy Information Systems↗
PubMed2003

Detecting adverse drug events in discharge summaries using variations on the simple Bayes model.

Detection and prevention of adverse events and, in particular, adverse drug events (ADEs), is an important problem in health care today. We describe the implementation and evaluation of four variations on the simple Bayes model for identifying ADE-related discharge summaries. Our results show that these probabilistic techniques achieve an ROC curve area of up to 0.77 in correctly determining which patient cases should be assigned an ADE-related ICD-9-CM code. These results suggest a potential for these techniques to contribute to the development of an automated system that helps identify ADEs, as a step toward further understanding and preventing them.

Abstracting and Indexing↗
PubMed2003

The Lilongwe Central Hospital Patient Management Information System: a success in computer-based order entry where one might least expect it.

Computer-based order entry is a powerful tool for enhancing patient care. A pilot project in the pediatric department of the Lilongwe Central Hospital (LCH) in Malawi, Africa has demonstrated that computer-based order entry (COE): 1) can be successfully deployed and adopted in resource-poor settings, 2) can be built, deployed and sustained at relatively low cost and with local resources, and 3) has a greater potential to improve patient care in developing than in developed countries.

Hospital Information Systems↗
PubMed2003

Physician PDA use and the HIPAA Privacy Rule.

Physicians need better access to information when making patient care decisions. Hospitals should allow electronic data transfers to physician PDAs to improve patient care, and physicians must institute measures to secure the confidentiality of patient information on their PDAs. By explicitly excluding copies from their designated record set, hospitals need not maintain copies or track access of information on personally owned PDAs.

Computer Security↗
PubMed2003

Dose range checking in a computer order entry system.

We recently implemented a computer order entry (COE) system which uses decision support for dose range checking. In addition to providing decision support at the point of order entry via "alerts", the system tracks data regarding the occurrence of alerts related to dosing errors. We reviewed the dosing alerts for a "high risk" medications in a COE system. Telephone alerts were more likely to trigger alerts. There were more low dose than high dose alerts. Some alerts could be avoided by adjusting the threshold.

Drug Therapy, Computer-Assisted↗