Biomedical subjects

J G Suico

Publications and source records attributed to J G Suico.

5 recordsLinked to original sources

PubMed1999

The Regenstrief Medical Record System: a quarter century experience.

Entrusted with the records for more than 1.5 million patients, the Regenstrief Medical Record System (RMRS) has evolved into a fast and comprehensive data repository used extensively at three hospitals on the Indiana University Medical Center campus and more than 30 Indianapolis clinics. The RMRS routinely captures laboratory results, narrative reports, orders, medications, radiology reports, registration information, nursing assessments, vital signs, EKGs and other clinical data. In this paper, we describe the RMRS data model, file structures and architecture, as well as recent necessary changes to these as we coordinate a collaborative effort among all major Indianapolis hospital systems, improving patient care by capturing city-wide laboratory and encounter data. We believe that our success represents persistent efforts to build interfaces directly to multiple independent instruments and other data collection systems, using medical standards such as HL7, LOINC, and DICOM. Inpatient and outpatient order entry systems, instruments for visit notes and on-line questionnaires that replace hardcopy forms, and intelligent use of coded data entry supplement the RMRS. Physicians happily enter orders, problems, allergies, visit notes, and discharge summaries into our locally developed Gopher order entry system, as we provide them with convenient output forms, choice lists, defaults, templates, reminders, drug interaction information, charge information, and on-line articles and textbooks. To prepare for the future, we have begun wrapping our system in Web browser technology, testing voice dictation and understanding, and employing wireless technology.

Computer Terminals↗

PubMed1998

Canopy computing: using the Web in clinical practice.

The rain forest canopy is a seamless web through which arboreal creatures efficiently move to reach the edible fruits without any attention to the individual trees. Individual health care computer systems are rich with patient data, but rather than a canopy linking all the trees in the forest, the data "fruit" come from a diverse forest of individual computer "trees"-laboratory systems, word processing systems, pharmacy systems, and the like. These different sources of patient information are difficult or impossible to reach by individual physicians, especially from their offices. The World Wide Web and other standardization technology provide physicians and their institutions the tools needed for seamless and secure access to their patients' data and to medical information, when and where they need it. We and others have adopted these tools to combine independent sources of clinical data. Physicians who assist in the purchase of clinical information systems should demand products in their practice settings that are Web enabled, use standard coding systems, and communicate with other computer systems via broadly accepted protocols.

Clinical Medicine↗

PubMed1998

What is done, what is needed and what is realistic to expect from medical informatics standards.

Medical informatic experts have made considerable progress in the development of standards for orders and clinical results (CEN, HL7, ASTM), EKG tracings (CEN), diagnostic images (DICOM), claims processing (X12 and EDIFAC) and in vocabulary and codes (SNOMED, Read Codes, the MED, LOINC). Considerable work still remains to be carried out. Abstract models of health care information have to be created, to cover the necessary domain, and yet be simple enough to assimilate, implement, and manage. This requires a high degree of abstraction. Enormous amounts to develop standardized vocabulary are still required to complement such a model, and to define the subsets that apply to given contexts.

Computer Communication Networks↗

PubMed1998

Behaviors predicting foot lesions in patients with non-insulin-dependent diabetes mellitus.

Associations between specific foot-care behaviors and foot lesions in patients with non-insulin-dependent diabetes mellitus were prospectively investigated. Data from a randomized controlled trial for preventing diabetic foot lesions were analyzed as a prospective cohort using logistic regression. Independent variables included foot-care behaviors, patient self-foot examination, going barefoot, availability of foot-care assistance, and visits to health-care providers. The dependent variable was a foot wound on each foot at follow-up. In the final multivariate model, patients who rarely lubricated their feet had an increased risk of foot lesions. Increasing patient use of emollients may be key to preventing foot lesions.

Diabetes Mellitus, Type 2↗

PubMedDate not supplied

Units of measure in clinical information systems.

The authors surveyed existing standard codes for units of measures, such as ISO 2955, ANSI X3.50, and Health Level 7's ISO+. Because these standards specify only the character representation of units, the authors developed a semantic model for units based on dimensional analysis. Through this model, conversion between units and calculations with dimensioned quantities become as simple as calculating with numbers. All atomic symbols for prefixes and units are defined in one small table. Huge permutated conversion tables are not required. This method is also simple enough to be widely implementable in today's information systems. To promote the application of the method the authors provide an open-source implementation of this method in JAVA. All existing code standards for units, however, are incomplete for practical use and require substantial changes to correct their many ambiguities. The authors therefore developed a code for units that is much more complete and free from ambiguities.

Mathematical Computing↗