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Biomedical subjects

Clement J McDonald

Publications and source records attributed to Clement J McDonald.

At least 19 recordsLinked to original sources

Computerization can create safety hazards: a bar-coding near miss.

Increasing numbers of hospitals are implementing bar-coding systems to prevent errors in patient identification. In the present case, a diabetic patient admitted to a teaching hospital was mistakenly given the bar-coded identification wristband of another patient who was admitted at the same time. When a laboratory result that documented the diabetic patient's severe hyperglycemia was entered into the other patient's electronic medical record, the latter patient seemed to have a very high glucose level and was almost given what could have been a fatal dose of insulin. This near miss shows that computer systems, although having the potential to improve safety, may create new kinds of errors if not accompanied by well-designed, well-implemented cross-check processes and a culture of safety. Moreover, computer systems may have the pernicious effect of weakening human vigilance, removing an important safety protection. Researchers should continue to study real-world implementation of computerized systems to understand their benefits and potential harms, and administrators and providers should seek ways to anticipate these harms and mitigate them.

Aged, 80 and over↗

Can computer-generated evidence-based care suggestions enhance evidence-based management of asthma and chronic obstructive pulmonary disease? A randomized, controlled trial.

OBJECTIVE: Translation of evidence-based guidelines into clinical practice has been inconsistent. We performed a randomized, controlled trial of guideline-based care suggestions delivered to physicians when writing orders on computer workstations. STUDY SETTING: Inner-city academic general internal medicine practice. STUDY DESIGN: Randomized, controlled trial of 246 physicians (25 percent faculty general internists, 75 percent internal medicine residents) and 20 outpatient pharmacists. We enrolled 706 of their primary care patients with asthma or chronic obstructive pulmonary disease. Care suggestions concerning drugs and monitoring were delivered to a random half of the physicians and pharmacists when writing orders or filling prescriptions using computer workstations. A 2 x 2 factorial randomization of practice sessions and pharmacists resulted in four groups of patients: physician intervention, pharmacist intervention, both interventions, and controls. DATA EXTRACTION/COLLECTION METHODS: Adherence to the guidelines and clinical activity was assessed using patients' electronic medical records. Health-related quality of life, medication adherence, and satisfaction with care were assessed using telephone questionnaires. PRINCIPAL FINDINGS: During their year in the study, patients made an average of five scheduled primary care visits. There were no differences between groups in adherence to the care suggestions, generic or condition-specific quality of life, satisfaction with physicians or pharmacists, medication compliance, emergency department visits, or hospitalizations. Physicians receiving the intervention had significantly higher total health care costs. Physician attitudes toward guidelines were mixed. CONCLUSIONS: Care suggestions shown to physicians and pharmacists on computer workstations had no effect on the delivery or outcomes of care for patients with reactive airways disease.

Academic Medical Centers↗

A pilot study of usefulness of clinician-patient videoconferencing for making routine medical decisions in the nursing home.

OBJECTIVES: To pilot and assess the role of videoconferencing in clinicians' medical decision-making and their interactions with nursing home residents (NHRs). DESIGN: Paired virtual and bedside examinations. Face-to-face (FTF) examination of NHRs by off-site clinicians immediately followed videoconferencing between the same clinician-NHR pair. SETTING: A 240-bed, county-managed, urban nursing home. PARTICIPANTS: NHRs (n=35) and clinicians (n=3) receiving or providing routine care between 2002 and 2003. MEASUREMENTS: Orders generated by clinicians, clinicians' ratings of videoconferencing, and coded review of video encounters. After both examinations, clinicians rated the encounters and generated orders necessary for NHRs. Orders were categorized and counted according to timing (before or after the FTF visit). Clinician-NHR interactions were assessed using coding videos with a 31-item instrument. RESULTS: For 71% of the encounters, clinicians stated that videoconferencing facilitated their assessment. Difficulties included sound quality (19%) and participants' familiarity with videoconferencing (7%). Although NHRs were alert in 50% of encounters, 62% of alert NHRs did not indicate understanding of the recommended treatment. CONCLUSION: FTF examination was superior for most assessments, but videoconferencing was judged to be valuable, especially for wound care. Even when NHRs were alert, informed medical decision-making by NHRs with their clinicians was limited. Enhancing videoconferencing quality and providing more training about informed decision-making using videoconferencing might improve the effectiveness of the technology.

Adult↗

In support of emergency department health information technology.

Emergency department visits represent a significant portion of medical care. Emergency physicians require immediate access to clinical information in order to provide quality care. Increased medical errors result when access to the complete medical record is limited. Clinicians' access to clinical information is limited to the greatest extent when care occurs over short time intervals, and between separate healthcare systems. Over the four-year period, the majority (85%) of all patients, stay within the same system; however, of patients with more than one visit, this percentage decreases to 66%. Of patients who return within 24 hours, 75% return to the same hospital or healthcare system. This patient population represents a unique cohort with special healthcare needs. Not only do they represent a disproportionate share of visits compared to those remaining within a single system but they also represent additional, and often underestimated, opportunities to provide quality care.

Biomedical Technology↗

Computerized reminders to improve isolation rates of patients with drug-resistant infections: design and preliminary results.

Infections with multi-drug resistant organisms (MDROs) are a steadily increasing threat to inpatients as they move through the hospital. We constructed a computerized reminder system, integrated with existing data sources maintained by the infection control service. We tested the hypothesis that computerized reminders from a centralized infection control expert system can improve rates of barrier isolation in patients with MDROs. Immediately after institution of this reminder system, isolation of eligible ward patients increased from a baseline rate of 33% to 95% (p<0.0001). The median time to isolation decreased from 16.6 hours to 0 hours, indicating that the majority of patients post-intervention had isolation orders written prior to arrival on the ward. We conclude that a computerized reminder system can dramatically increase the clinical impact of data sources maintained by hospital Infection Control services.

Drug Resistance, Multiple↗

Efficiency, comprehensiveness and cost-effectiveness when comparing dictation and electronic templates for operative reports.

Surgeons typically document operative events using dictation services. Dictated reports are frequently incomplete or delayed. Electronic note templates could potentially improve this process. Using a study design of alternating four week blocks, we compared the timeliness and comprehensiveness of operative notes created through the use of electronic templates versus dictation services for five surgical procedures. Templates resulted in dramatically faster times to the presence of a verified operative report in the medical record compared to dictation services (mean 28 v. 22,440 minutes). Templates increased overall compliance with national standards for operative note documentation and avoided transcription costs. Documentation with templates took slightly more time than dictation (mean 6.77 v. 5.96 minutes; P=0.036), not including the additional time necessary to subsequently verify dictated reports. We conclude that electronic note templates can improve the timeliness and comprehensiveness of operative documentation, while decreasing transcription costs and requiring minimal additional effort on the part of surgeons.

Cesarean Section↗

SPIN query tools for de-identified research on a humongous database.

The Shared Pathology Informatics Network (SPIN), a research initiative of the National Cancer Institute, will allow for the retrieval of more than 4 million pathology reports and specimens. In this paper, we describe the special query tool as developed for the Indianapolis/Regenstrief SPIN node, integrated into the ever-expanding Indiana Network for Patient care (INPC). This query tool allows for the retrieval of de-identified data sets using complex logic, auto-coded final diagnoses, and intrinsically supports multiple types of statistical analyses. The new SPIN/INPC database represents a new generation of the Regenstrief Medical Record system - a centralized, but federated system of repositories.

Confidentiality↗

Automated mapping of local radiology terms to LOINC.

We developed an automated tool, called the Intelligent Mapper (IM), to improve the efficiency and consistency of mapping local terms to LOINC. We evaluated IM's performance in mapping diagnostic radiology report terms from two hospitals to LOINC by comparing IM's term rankings to a manually established gold standard. Using a CPT-based restriction, for terms with a LOINC code match, IM ranked the correct LOINC code first in 90% of our development set terms, and in 87% of our test set terms. The CPT-based restriction significantly improved IM's ability to identify correct LOINC codes. We have made IM freely available, with the aim of reducing the effort required to integrate disparate systems and helping move us towards the goal of interoperable health information exchange.

Artificial Intelligence↗

Inpatient computer-based standing orders vs physician reminders to increase influenza and pneumococcal vaccination rates: a randomized trial.

CONTEXT: Computerized reminder systems increase influenza and pneumococcal vaccination rates, but computerized standing order systems have not been previously described or evaluated. OBJECTIVE: To determine the effects of computerized physician standing orders compared with physician reminders on inpatient vaccination rates. DESIGN, SETTING, AND PATIENTS: Randomized trial of 3777 general medicine patients discharged from 1 of 6 study wards during a 14-month period (November 1, 1998, through December 31, 1999) composed of 2 overlapping influenza seasons at an urban public teaching hospital. INTERVENTIONS: The hospital's computerized physician order entry system identified inpatients eligible for influenza and pneumococcal vaccination. For patients with standing orders, the system automatically produced vaccine orders directed to nurses at the time of patient discharge. For patients with reminders, the computer system provided reminders to physicians that included vaccine orders during routine order entry sessions. MAIN OUTCOME MEASURE: Vaccine administration. RESULTS: During the approximately 6 months of the influenza season, 50% of all hospitalized patients were identified as eligible for influenza vaccination. Twenty-two percent of patients hospitalized during the entire 14 months of the study were found eligible for pneumococcal vaccination. Patients with standing orders received an influenza vaccine significantly more often (42%) than those patients with reminders (30%) (P <.001). Patients with standing orders received a pneumococcal vaccine significantly more often (51%) than those with reminders (31%) (P <.001). CONCLUSIONS: Computerized standing orders were more effective than computerized reminders for increasing both influenza and pneumococcal vaccine administration. Our findings suggest that computerized standing orders should be used more widely for this purpose.

Clinical Protocols↗

A simple error classification system for understanding sources of error in automatic speech recognition and human transcription.

OBJECTIVES: To (1) discover the types of errors most commonly found in clinical notes that are generated either using automatic speech recognition (ASR) or via human transcription and (2) to develop efficient rules for classifying these errors based on the categories found in (1). The purpose of classifying errors into categories is to understand the underlying processes that generate these errors, so that measures can be taken to improve these processes. METHODS: We integrated the Dragon NaturallySpeaking v4.0 speech recognition engine into the Regenstrief Medical Record System. We captured the text output of the speech engine prior to error correction by the speaker. We also acquired a set of human transcribed but uncorrected notes for comparison. We then attempted to error correct these notes based on looking at the context alone. Initially, three domain experts independently examined 104 ASR notes (containing 29,144 words) generated by a single speaker and 44 human transcribed notes (containing 14,199 words) generated by multiple speakers for errors. Collaborative group sessions were subsequently held where error categorizes were determined and rules developed and incrementally refined for systematically examining the notes and classifying errors. RESULTS: We found that the errors could be classified into nine categories: (1) announciation errors occurring due to speaker mispronounciation, (2) dictionary errors resulting from missing terms, (3) suffix errors caused by misrecognition of appropriate tenses of a word, (4) added words, (5) deleted words, (6) homonym errors resulting from substitution of a phonetically identical word, (7) spelling errors, (8) nonsense errors, words/phrases whose meaning could not be appreciated by examining just the context, and (9) critical errors, words/phrases where a reader of a note could potentially misunderstand the concept that was related by the speaker. CONCLUSIONS: A simple method is presented for examining errors in transcribed documents and classifying these errors into meaningful and useful categories. Such a classification can potentially help pinpoint sources of such errors so that measures (such as better training of the speaker and improved dictionary and language modeling) can be taken to optimize the error rates.

Automation↗

Undertreatment of osteoporosis in women, based on detection of vertebral compression fractures on chest radiography.

BACKGROUND: Fractures attributable to ostcoporosis are responsible for preventable suffering and health care costs. Until they experience a fracture, many older adults, particularly women, are unaware that they have osteoporosis. Although radiographs taken for reasons other than evaluating the possibility of osteoporosis may suggest the presence of fracture, such fractures often go undetected and effective treatments are not implemented. OBJECTIVE: The goal of this study was to determine the adequacy of treatment of osteoporotic vertebral compression fractures in middle-aged and older women in an internal medicine clinic, as ascertained by reports of chest radiography. The hypothesis was that patients having chest radiographs with observable vertebral compression fractures often did not receive adequate treatment. METHODS: This was a retrospective, cross-sectional study conducted at a general internal medicine clinic at a university-affiliated county hospital. The records of an academic internal medicine practice were searched to identify women aged >or=40 years with radiologic evidence of vertebral compression fractures during the period from June 1, 1992, through May 31, 2002. Electronic prescription records were then searched to determine whether patients had received a prescription for a medication for the treatment of osteoporosis. An analysis also was conducted to describe the frequency distribution of various medications for the treatment of osteoporosis. RESULTS: One hundred thirteen women were identified who met the study criteria. Their mean (SD) age was 68.1 (21.9) years. Fifty-six (50%) of these women received pharmacologic treatment for osteoporosis. The most commonly prescribed medications were estrogens (35%), calcitonin (16%), and bisphosphonates (12%). CONCLUSIONS: No more than half of patients identified as having a vertebral compression fracture on chest radiography received even 1 prescription for the treatment of osteoporosis. Because this study did not examine adherence or long-term medication use, the proportion of women who received adequate osteoporosis therapy was probably much less than half. Physicians should be alert to the possible presence of vertebral compression fractures and take a more aggressive approach to treatment when a fracture is present.

Adult↗

Failure of computerized treatment suggestions to improve health outcomes of outpatients with uncomplicated hypertension: results of a randomized controlled trial.

STUDY OBJECTIVE: To assess the effects of evidence-based treatment suggestions for hypertension made to physicians and pharmacists using a comprehensive electronic medical record system. DESIGN: Randomized controlled trial with a 2 x 2 factorial design of physician and pharmacist interventions, which resulted in four groups of patients: physician intervention only, pharmacist intervention only, intervention by physician and pharmacist, and intervention by neither physician nor pharmacist (control). SETTING: Academic primary care internal medicine practice. SUBJECTS: Seven hundred twelve patients with uncomplicated hypertension. MEASUREMENTS AND MAIN RESULTS: Suggestions were displayed to physicians on computer workstations used to write outpatient orders and to pharmacists when filling prescriptions. The primary end point was generic health-related quality of life. Secondary end points were symptom profile and side effects from antihypertensive drugs, number of emergency department visits and hospitalizations, blood pressure measurements, patient satisfaction with physicians and pharmacists, drug therapy compliance, and health care charges. In the control group, implementation of care changes in accordance with treatment suggestions was observed in 26% of patients. In the intervention groups, compliance with suggestions was poor, with treatment suggestions implemented in 25% of patients for whom suggestions were displayed only to pharmacists, 29% of those for whom suggestions were displayed only to physicians, and 35% of the group for whom both physicians and pharmacists received suggestions (p=0.13). Intergroup differences were neither statistically significant nor clinically relevant for generic health-related quality of life, symptom and side-effect profiles, number of emergency department visits and hospitalizations, blood pressure measurements, charges, or drug therapy compliance. CONCLUSION: Computer-based intervention using a sophisticated electronic physician order-entry system failed to improve compliance with treatment suggestions or outcomes of patients with uncomplicated hypertension.

Antihypertensive Agents↗

Indianapolis I3: the third generation Integrated Advanced Information Management Systems.

In 2001, the Regenstrief Institute for Health Care and the Indiana University School of Medicine (IUSM) began an IAIMS planning effort to create a vision and a tactical plan for the first Integrated Advanced Information Management Systems (IAIMS) implementation to cross a large area and include unaffiliated institutions. A number of elements made this planning effort unique. Among these elements were the existence of a network infrastructure that supported the Indianapolis Network for Patient Care, the existence of a mature medical informatics program at the Regenstrief Institute, and the existence of a wide-area knowledge network fostered by the IUSM libraries. However, the leadership for a strong information technology role in the IUSM that could promote collaboration in support of education and research across the diverse Indianapolis hospital systems had been lacking. By bringing together various groups, each with a commitment to improve health care quality and public health across the Indianapolis metropolitan area, regardless of individual institutional affiliation, the strategic directions for I3-Indianapolis IAIMS Initiative have been defined and the foundations for a third generation IAIMS construct have been laid in Indianapolis, Indiana.

Academic Medical Centers↗

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↗

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↗

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↗

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↗

Effects of computerized guidelines for managing heart disease in primary care.

BACKGROUND: Electronic information systems have been proposed as one means to reduce medical errors of commission (doing the wrong thing) and omission (not providing indicated care). OBJECTIVE: To assess the effects of computer-based cardiac care suggestions. DESIGN: A randomized, controlled trial targeting primary care physicians and pharmacists. SUBJECTS: A total of 706 outpatients with heart failure and/or ischemic heart disease. INTERVENTIONS: Evidence-based cardiac care suggestions, approved by a panel of local cardiologists and general internists, were displayed to physicians and pharmacists as they cared for enrolled patients. MEASUREMENTS: Adherence with the care suggestions, generic and condition-specific quality of life, acute exacerbations of their cardiac disease, medication compliance, health care costs, satisfaction with care, and physicians' attitudes toward guidelines. RESULTS: Subjects were followed for 1 year during which they made 3,419 primary care visits and were eligible for 2,609 separate cardiac care suggestions. The intervention had no effect on physicians' adherence to the care suggestions (23% for intervention patients vs 22% for controls). There were no intervention-control differences in quality of life, medication compliance, health care utilization, costs, or satisfaction with care. Physicians viewed guidelines as providing helpful information but constraining their practice and not helpful in making decisions for individual patients. CONCLUSIONS: Care suggestions generated by a sophisticated electronic medical record system failed to improve adherence to accepted practice guidelines or outcomes for patients with heart disease. Future studies must weigh the benefits and costs of different (and perhaps more Draconian) methods of affecting clinician behavior.

Algorithms↗