Biomedical subjects

Clement J McDonald

Publications and source records attributed to Clement J McDonald.

10 recordsLinked to original sources

PubMed2003

Using information technology to improve the health care of older adults.

The high burden of illness and frailty common among our growing population of older adults often results in fragmentation of care across providers and health care systems, increasing the complexity and costs of caring for these patients. Information technology offers one way to meet this challenge. Scientists at the Regenstrief Institute have more than a quarter-century of experience in using medical informatics to support clinicians in the day-to-day care of older adults. Their research has progressed through several evolutionary cycles, beginning with the acquisition of relevant data and moving to studies of the most efficient and effective mechanisms that bring information to bear at the time of clinical decision making. Information technology designed with the input of the end user has the greatest promise of changing provider behavior because it balances technological challenges with the cultural context of the practice environment. One topic of active research is information technology to support transitions of care among sites and providers. These transitions place older adults at increased risk for avoidable illness, death, and health care costs. Information systems that improve communication among providers during these transitions have the potential to improve safety and reduce costs.

Aged↗

PubMed2003

Structure, functions, and activities of a research support informatics section.

The authors describe a research group that supports the needs of investigators seeking data from an electronic medical record system. Since its creation in 1972, the Regenstrief Medical Records System has captured and stored more than 350 million discrete coded observations on two million patients. This repository has become a central data source for prospective and retrospective research. It is accessed by six data analysts--working closely with the institutional review board--who provide investigators with timely and accurate data while protecting patient and provider privacy and confidentiality. From January 1, 1999, to July 31, 2002, data analysts tracked their activities involving 47,559 hours of work predominantly for physicians (54%). While data retrieval (36%) and analysis (25%) were primary activities, data analysts also actively collaborated with researchers. Primary objectives of data provided to investigators were to address disease-specific (35.4%) and drug-related (12.2%) questions, support guideline implementation (13.1%), and probe various aspects of clinical epidemiology (5.7%). Outcomes of these endeavors included 117 grants (including 300,000 US dollars per year salary support for data analysts) and 139 papers in peer-reviewed journals by investigators who rated the support provided by data analysts as extremely valuable.

Biomedical Research↗

PubMed2003

Open Source software in medical informatics--why, how and what.

'Open Source' is a 20-40 year old approach to licensing and distributing software that has recently burst into public view. Against conventional wisdom this approach has been wildly successful in the general software market--probably because the openness lets programmers the world over obtain, critique, use, and build upon the source code without licensing fees. Linux, a UNIX-like operating system, is the best known success. But computer scientists at the University of California, Berkeley began the tradition of software sharing in the mid 1970s with BSD UNIX and distributed the major internet network protocols as source code without a fee. Medical informatics has its own history of Open Source distribution: Massachusetts General's COSTAR and the Veterans Administration's VISTA software have been distributed as source code at no cost for decades. Bioinformatics, our sister field, has embraced the Open Source movement and developed rich libraries of open-source software. Open Source has now gained a tiny foothold in health care (OSCAR GEHR, OpenEMed). Medical informatics researchers and funding agencies should support and nurture this movement. In a world where open-source modules were integrated into operational health care systems, informatics researchers would have real world niches into which they could engraft and test their software inventions. This could produce a burst of innovation that would help solve the many problems of the health care system. We at the Regenstrief Institute are doing our part by moving all of our development to the open-source model.

Database Management Systems↗

PubMed2003

A practical method of linking data from Medicare claims and a comprehensive electronic medical records system.

BACKGROUND: Linking administrative and clinical databases provides opportunities for richer studies to improve healthcare, but linkage may require sophisticated algorithms. Linking US Medicare data with large databases used for everyday clinical practice is seldom described in detail in medical literature. OBJECTIVES: Test a deterministic method of linking data from a local electronic medical records system to Medicare data, and report specific details of the algorithm used as well as lessons learned from the linkage process. SUBJECTS: Medicare beneficiaries with medical encounters in selected Indiana counties in the 5-year period ending in 1999. RESULTS: For 6,388 beneficiaries with Medicare data indicating inpatient encounters in the system, 98% had links to the clinical database. Of 7,231 patients hospitalized and registered in the local clinical system, 86% contained a link to Medicare data, and 69% contained a link even without using Social security number (SSN) as an identifier. Medicare data that conflicted with local hospital records by indicating no local hospitalization occurred in 1.8%. More than 2,000 claims contained hospital identifiers that did not exist in the hospital codebook. CONCLUSIONS: Details of a practical, deterministic method of linking Medicare claims to a large electronic records system have been applied and described. Most records were linked without SSN. A variety of inconsistencies were found and these, along with missing or incomplete data, can influence linking. Integrity of specific variables must be assessed carefully.

Aged↗

PubMed2003

LOINC, a universal standard for identifying laboratory observations: a 5-year update.

The Logical Observation Identifier Names and Codes (LOINC) database provides a universal code system for reporting laboratory and other clinical observations. Its purpose is to identify observations in electronic messages such as Health Level Seven (HL7) observation messages, so that when hospitals, health maintenance organizations, pharmaceutical manufacturers, researchers, and public health departments receive such messages from multiple sources, they can automatically file the results in the right slots of their medical records, research, and/or public health systems. For each observation, the database includes a code (of which 25 000 are laboratory test observations), a long formal name, a "short" 30-character name, and synonyms. The database comes with a mapping program called Regenstrief LOINC Mapping Assistant (RELMA(TM)) to assist the mapping of local test codes to LOINC codes and to facilitate browsing of the LOINC results. Both LOINC and RELMA are available at no cost from http://www.regenstrief.org/loinc/. The LOINC medical database carries records for >30 000 different observations. LOINC codes are being used by large reference laboratories and federal agencies, e.g., the CDC and the Department of Veterans Affairs, and are part of the Health Insurance Portability and Accountability Act (HIPAA) attachment proposal. Internationally, they have been adopted in Switzerland, Hong Kong, Australia, and Canada, and by the German national standards organization, the Deutsches Instituts für Normung. Laboratories should include LOINC codes in their outbound HL7 messages so that clinical and research clients can easily integrate these results into their clinical and research repositories. Laboratories should also encourage instrument vendors to deliver LOINC codes in their instrument outputs and demand LOINC codes in HL7 messages they get from reference laboratories to avoid the need to lump so many referral tests under the "send out lab" code.

Clinical Laboratory Information Systems↗

PubMed2002

Effectiveness of pharmacist care for patients with reactive airways disease: a randomized controlled trial.

CONTEXT: It is not known whether patient outcomes are enhanced by effective pharmacist-patient interactions. OBJECTIVE: To assess the effectiveness of a pharmaceutical care program for patients with asthma or chronic obstructive pulmonary disease (COPD). DESIGN, SETTING, AND PARTICIPANTS: Randomized controlled trial conducted at 36 community drugstores in Indianapolis, Ind. We enrolled 1113 participants with active COPD or asthma from July 1998 to December 1999. Outcomes were assessed in 947 (85.1%) participants at 6 months and 898 (80.7%) at 12 months. INTERVENTIONS: The pharmaceutical care program (n = 447) provided pharmacists with recent patient-specific clinical data (peak expiratory flow rates [PEFRs], emergency department [ED] visits, hospitalizations, and medication compliance), training, customized patient educational materials, and resources to facilitate program implementation. The PEFR monitoring control group (n = 363) received a peak flow meter, instructions about its use, and monthly calls to elicit PEFRs. However, PEFR data were not provided to the pharmacist. Patients in the usual care group (n = 303) received neither peak flow meters nor instructions in their use; during monthly telephone interviews, PEFR rates were not elicited. Pharmacists in both control groups had a training session but received no components of the pharmaceutical care intervention. MAIN OUTCOME MEASURES: Peak expiratory flow rates, breathing-related ED or hospital visits, health-related quality of life (HRQOL), medication compliance, and patient satisfaction. RESULTS: At 12 months, patients receiving pharmaceutical care had significantly higher peak flow rates than the usual care group (P =.02) but not than PEFR monitoring controls (P =.28). There were no significant between-group differences in medication compliance or HRQOL. Asthma patients receiving pharmaceutical care had significantly more breathing-related ED or hospital visits than the usual care group (odds ratio, 2.16; 95% confidence interval, 1.76-2.63; P<.001). Patients receiving pharmaceutical care were more satisfied with their pharmacist than the usual care group (P =.03) and the PEFR monitoring group (P =.001) and were more satisfied with their health care than the usual care group at 6 months only (P =.01). Despite ample opportunities to implement the program, pharmacists accessed patient-specific data only about half of the time and documented actions about half of the time that records were accessed. CONCLUSIONS: This pharmaceutical care program increased patients' PEFRs compared with usual care but provided little benefit compared with peak flow monitoring alone. Pharmaceutical care increased patient satisfaction but also increased the amount of breathing-related medical care sought.

Adult↗

PubMed2002

A randomized, controlled trial of clinical information shared from another institution.

STUDY OBJECTIVE: Emergency physicians often must deliver medical care with minimal access to historical clinical information. We demonstrate the feasibility and potential value of increased access to patients' clinical information from another hospital while they are receiving care in the emergency department. METHODS: We conducted a pilot randomized, controlled trial of providing information from a large, longitudinal, computer-based patient record system of clinical data from an urban hospital to emergency physicians at either of 2 urban EDs. We randomized patients seen at either ED to have the information from the computer-based patient record system provided to their physician or to not have the information provided. We delivered information to the emergency physician both as a printed abstract and by means of online access to the computer-based patient record. We assessed charges, hospital admissions, repeat visits to EDs, and the emergency physicians' satisfaction with the information. RESULTS: Under certain assumptions, the intervention was estimated to decrease charges for ED care by approximately $26 per encounter (P =.03) at 1 hospital, but there was no effect on charges at the other hospital. This result was likely because of marked differences in the workflows and information access at these 2 EDs. We demonstrated no differences in admission rates or repeat visits to the ED. Emergency physicians identified that remembering their passwords and the time required to search for the information were significant barriers to accessing clinical information online. CONCLUSION: Our pilot study is the first to demonstrate the feasibility of sharing clinical information between different health care systems. We observed a trend toward cost savings at 1 of 2 hospitals and no differences in the quality measures we studied. Our experience underscores the difficulties inherent in studying the effects of community-wide health care interventions on cost and quality of ED care.

Adult↗

PubMed2002

A modern optical character recognition system in a real world clinical setting: some accuracy and feasibility observations.

Advances in optical character recognition (OCR) software and computer hardware have stimulated a reevaluation of the technology and its ability to capture structured clinical data from preexisting paper forms. In our pilot evaluation, we measured the accuracy and feasibility of capturing vitals data from a pediatric encounter form that has been in use for over twenty years. We found that the software had a digit recognition rate of 92.4% (95% confidence interval: 91.6 to 93.2) overall. More importantly, this system was approximately three times as fast as our existing method of data entry. These preliminary results suggest that with further refinements in the approach and additional development, we may be able to incorporate OCR as another method for capturing structured clinical data.

Electronic Data Processing↗

PubMed2002

Analysis of identifier performance using a deterministic linkage algorithm.

As part of developing a record linkage algorithm using de-identified patient data, we analyzed the performance of several demographic variables for making linkages between patient registry records from two hospital registries and the Social Security Death Master File. We analyzed samples from each registry totaling 6,000 record-pairs to establish a linkage gold-standard. Using Social Security Number as the exclusive linkage variable resulted in substantial linkage error rates of 4.7% and 9.2%. The best single variable combination for finding links was Social Security Number, phonetically compressed first name, birth month, and gender. This found 87% and 88% of the links without any false links. We achieved sensitivities of 90% to 92% while maintaining 100% specificity using combinations of social security number, gender, name, and birth date fields. This represents an accurate method for linking patient records to death data and is the basis for a more generalized de-identified linkage algorithm.

Algorithms↗

PubMed2002

Conducting a study of Internet-based video conferencing for assessing acute medical problems in a nursing facility.

We expect the use of real-time, interactive video conferencing to grow, due to more affordable technology and new health policies. Building and implementing portable systems to enable conferencing between physicians and patients requires durable equipment, committed staff, reliable service, and adequate protection and capture of data. We are studying the use of Internet-based conferencing between on-call physicians and patients residing in a nursing facility. We describe the challenges we experienced in constructing the study. Initiating and orchestrating unscheduled conferences needs to be easy, and requirements for training staff in using equipment should be minimal. Studies of health outcomes should include identification of medical conditions most amenable to benefit from conferencing, and outcomes should include positive as well as negative effects.

Acute Disease↗