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An open, modular, distributed and redundant computer system for hospitals.

Based on his experience at the University of Würzburg in Germany, Dr. Schuller shows how a successful MUMPS-based hospital information system can be developed, including goals and requirements, networking, software hierarchies, programming in MUMPS, medical applications, data security/privacy and international standards.

Confidentiality↗

The impact of the HELP computer system on the LDS Hospital paper medical record.

This study sought to answer the question: What percentage of an LDS Hospital patient's chart is contained in the HELP system? Using the number of pages in the record as the criteria, the answer is about 26 percent overall, but between 35 percent and 40 percent for patients in nursing divisions where computerized nurse charting is used. Although this fraction is likely to rise in the near future, the critical factor driving computerization is the desire for data usable in computerized decision making rather than the need to computerize the entire chart per se. The medical record at LDS Hospital will probably be a hybrid of computerized and paper data for some time to come.

Clinical Medicine↗

Innovations and research review: the impact of the HELP computer system on the LDS Hospital paper medical record.

This study sought to answer the question: What percentage of an LDS Hospital patient's chart is contained in the HELP system? Using the number of pages in the record as the criteria, the answer is about 26 percent overall, but between 35 percent and 40 percent for patients in nursing divisions where computerized nurse charting is used. Although this fraction is likely to rise in the near future, the critical factor driving computerization is the desire for data usable in computerized decision making rather than the need to computerize the entire chart per se. The medical record at LDS Hospital will probably be a hybrid of computerized and paper data for some time to come.

Documentation↗

Comparison of the quality of patient data collected by hospital and departmental computer systems.

The quality of patient data routinely collected in hospitals is rarely assessed, though by repute it may often be incomplete and inaccurate. To explore their completeness and accuracy, patient data separately collected by a hospital Patient Administration System (PAS) and by a departmental Clinical Information System (CIS) used by clinicians were compared. The results indicate that, although both systems appear to record reliably demographic and administrative data, PAS data are more complete than CIS data. Moreover clinicians and medical records staff seem to use classifications of diagnoses and procedures in profoundly different ways. More attention should be paid to the need to assess and improve data quality. The development of a shared database, used and validated by medical records staff and clinicians alike, may be the best way to achieve this.

Abstracting and Indexing↗