Biomedical subjects

J Marc Overhage

Publications and source records attributed to J Marc Overhage.

At least 19 recordsLinked to original sources

PubMed2006

A tale of three cities--where RHIOS meet the NHIN.

Regional health information exchanges in California, Indiana, and Massachusetts have been collaborating on a prototype for a nationwide health information network, first under the auspices of the Markle Foundation's Connecting for Health program and now under contract to the Department of Health and Human Services' Office of the National Coordinator for Health Information Technology. Since mid-2004, this collaboration has evolved from a collection of regional efforts to a standards-driven cooperative and now to one of four prototype national networks fostered by federal efforts. This development reflects a maturing market for interoperability and integration in healthcare information technology, starting with RHIOs, and suggests one response to the industry's need for the type of plug-and-play information exchange available in other industries. The authors share their experiences and their views of how RHIOs and a Nationwide Health Information Network will further develop to make interoperable electronic health records a reality in coming years. The content of this article is solely the responsibility of the authors and does not necessarily represent the official view of the Office of the National Coordinator for Health Information Technology.

Boston↗

PubMed2005

A context-sensitive approach to anonymizing spatial surveillance data: impact on outbreak detection.

OBJECTIVE: The use of spatially based methods and algorithms in epidemiology and surveillance presents privacy challenges for researchers and public health agencies. We describe a novel method for anonymizing individuals in public health data sets by transposing their spatial locations through a process informed by the underlying population density. Further, we measure the impact of the skew on detection of spatial clustering as measured by a spatial scanning statistic. DESIGN: Cases were emergency department (ED) visits for respiratory illness. Baseline ED visit data were injected with artificially created clusters ranging in magnitude, shape, and location. The geocoded locations were then transformed using a de-identification algorithm that accounts for the local underlying population density. MEASUREMENTS: A total of 12,600 separate weeks of case data with artificially created clusters were combined with control data and the impact on detection of spatial clustering identified by a spatial scan statistic was measured. RESULTS: The anonymization algorithm produced an expected skew of cases that resulted in high values of data set k-anonymity. De-identification that moves points an average distance of 0.25 km lowers the spatial cluster detection sensitivity by less than 4% and lowers the detection specificity less than 1%. CONCLUSION: A population-density-based Gaussian spatial blurring markedly decreases the ability to identify individuals in a data set while only slightly decreasing the performance of a standardly used outbreak detection tool. These findings suggest new approaches to anonymizing data for spatial epidemiology and surveillance.

Algorithms↗

PubMed2005

Personal health records: definitions, benefits, and strategies for overcoming barriers to adoption.

Recently there has been a remarkable upsurge in activity surrounding the adoption of personal health record (PHR) systems for patients and consumers. The biomedical literature does not yet adequately describe the potential capabilities and utility of PHR systems. In addition, the lack of a proven business case for widespread deployment hinders PHR adoption. In a 2005 working symposium, the American Medical Informatics Association's College of Medical Informatics discussed the issues surrounding personal health record systems and developed recommendations for PHR-promoting activities. Personal health record systems are more than just static repositories for patient data; they combine data, knowledge, and software tools, which help patients to become active participants in their own care. When PHRs are integrated with electronic health record systems, they provide greater benefits than would stand-alone systems for consumers. This paper summarizes the College Symposium discussions on PHR systems and provides definitions, system characteristics, technical architectures, benefits, barriers to adoption, and strategies for increasing adoption.

Attitude to Computers↗

PubMed2005

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↗

PubMed2005

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↗

PubMed2005

How disease surveillance systems can serve as practical building blocks for a health information infrastructure: the Indiana experience.

Although many organizations are beginning to develop strategies to implement and study regional and national health information exchanges, there are few operational examples to date. The Indiana Network for Patient Care (INPC) is an example of a currently operational Regional Health Information Organization (RHIO) built upon a foundation of open, robust healthcare information standards. Having demonstrated the scalability of this design, the Indiana State Department of Health (ISDH) contracted with the Regenstrief Institute to implement a statewide disease surveillance system incorporating encounter data from all 114 Indiana hospitals with emergency departments. We describe the 4-year implementation plan, including our design rationale and how we plan to address the specific implementation challenges of data collection, connectivity in diverse environments and current hospital buy-in. To date, 36 hospitals are in various stages of engagement, with 19 hospitals actively providing real-time surveillance data. We will discuss how this project creates the foundation for a potential statewide health information exchange.

Computer Communication Networks↗

PubMed2005

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↗

PubMed2005

Reviewing and managing syndromic surveillance SaTScan datasets using an open source data visualization tool.

SaTScan is a popular, free software tool used to identify disease clusters early in the course of an outbreak. Using geographic and time-based surveillance data, SaTScan can generate large datasets that are difficult for humans to interpret. Tracing disease clusters through space and time using text tables is a challenging cognitive task. To simplify this process, we developed a Java-based open-source tool to transform SaTScan analytic datasets into easily navigable data visualizations.

Cluster Analysis↗

PubMed2004

Communities' readiness for health information exchange: the National Landscape in 2004.

BACKGROUND: The Secretary of Health and Human Services recently released a report calling for the nation to create a national health information network (NHIN) that would interconnect Regional Health Information Organizations (RHIOs). These RHIOs, which others have called Local or Regional Health Information Infrastructures (LHII), would in turn interconnect local as well as national health information resources. Little data exist about the activities taking place in communities to create LHIIs. APPROACH: The authors analyzed data that communities submitted in response to a request for capabilities issued by the Foundation for eHealth as part of their Connecting Communities for Better Health program using descriptive statistics and subjective evaluation. IMPRESSION: The authors analyzed data from 134 responses from communities in 42 states and the District of Columbia. Communities are enthusiastic about moving forward with health information exchange to create LHIIs to improve the efficiency, quality, and safety of care. They have identified significant local sources of investment and plan to use some clinical data standards but not as broadly as was expected. The communities have not yet developed the specific technical approaches or the sustainable business models that will be required. Many communities are interested in creating an LHII and are developing the leadership commitment needed to translate that interest into an operational reality. Clinical information standards can be incorporated into a community's plans as often as they need to be. Communities have to overcome funding issues, develop deeper understanding of the technical and organizational issues, and aggressively share their learning to succeed within their community and to help other communities succeed.

Community Networks↗

PubMed2004

A consensus action agenda for achieving the national health information infrastructure.

BACKGROUND: Improving the safety, quality, and efficiency of health care will require immediate and ubiquitous access to complete patient information and decision support provided through a National Health Information Infrastructure (NHII). METHODS: To help define the action steps needed to achieve an NHII, the U.S. Department of Health and Human Services sponsored a national consensus conference in July 2003. RESULTS: Attendees favored a public-private coordination group to guide NHII activities, provide education, share resources, and monitor relevant metrics to mark progress. They identified financial incentives, health information standards, and overcoming a few important legal obstacles as key NHII enablers. Community and regional implementation projects, including consumer access to a personal health record, were seen as necessary to demonstrate comprehensive functional systems that can serve as models for the entire nation. Finally, the participants identified the need for increased funding for research on the impact of health information technology on patient safety and quality of care. Individuals, organizations, and federal agencies are using these consensus recommendations to guide NHII efforts.

Health Policy↗

PubMed2004

Framework for evaluating public health surveillance systems for early detection of outbreaks: recommendations from the CDC Working Group.

The threat of terrorism and high-profile disease outbreaks has drawn attention to public health surveillance systems for early detection of outbreaks. State and local health departments are enhancing existing surveillance systems and developing new systems to better detect outbreaks through public health surveillance. However, information is limited about the usefulness of surveillance systems for outbreak detection or the best ways to support this function. This report supplements previous guidelines for evaluating public health surveillance systems. Use of this framework is intended to improve decision-making regarding the implementation of surveillance for outbreak detection. Use of a standardized evaluation methodology, including description of system design and operation, also will enhance the exchange of information regarding methods to improve early detection of outbreaks. The framework directs particular attention to the measurement of timeliness and validity for outbreak detection. The evaluation framework is designed to support assessment and description of all surveillance approaches to early detection, whether through traditional disease reporting, specialized analytic routines for aberration detection, or surveillance using early indicators of disease outbreaks, such as syndromic surveillance.

Disease Outbreaks↗

PubMed2004

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↗

PubMed2004

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↗

PubMed2004

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↗

PubMed2004

Real world performance of approximate string comparators for use in patient matching.

Medical record linkage is becoming increasingly important as clinical data is distributed across independent sources. To improve linkage accuracy we studied different name comparison methods that establish agreement or disagreement between corresponding names. In addition to exact raw name matching and exact phonetic name matching, we tested three approximate string comparators. The approximate comparators included the modified Jaro-Winkler method, the longest common substring, and the Levenshtein edit distance. We also calculated the combined root-mean square of all three. We tested each name comparison method using a deterministic record linkage algorithm. Results were consistent across both hospitals. At a threshold comparator score of 0.8, the Jaro-Winkler comparator achieved the highest linkage sensitivities of 97.4% and 97.7%. The combined root-mean square method achieved sensitivities higher than the Levenshtein edit distance or long-est common substring while sustaining high linkage specificity. Approximate string comparators increase deterministic linkage sensitivity by up to 10% compared to exact match comparisons and represent an accurate method of linking to vital statistics data.

Algorithms↗

PubMed2003

Implementing syndromic surveillance: a practical guide informed by the early experience.

Syndromic surveillance refers to methods relying on detection of individual and population health indicators that are discernible before confirmed diagnoses are made. In particular, prior to the laboratory confirmation of an infectious disease, ill persons may exhibit behavioral patterns, symptoms, signs, or laboratory findings that can be tracked through a variety of data sources. Syndromic surveillance systems are being developed locally, regionally, and nationally. The efforts have been largely directed at facilitating the early detection of a covert bioterrorist attack, but the technology may also be useful for general public health, clinical medicine, quality improvement, patient safety, and research. This report, authored by developers and methodologists involved in the design and deployment of the first wave of syndromic surveillance systems, is intended to serve as a guide for informaticians, public health managers, and practitioners who are currently planning deployment of such systems in their regions.

Bioterrorism↗

PubMed2003

Standardized reporting of clinical practice guidelines: a proposal from the Conference on Guideline Standardization.

Despite enormous energies invested in authoring clinical practice guidelines, the quality of individual guidelines varies considerably. The Conference on Guideline Standardization (COGS) was convened in April 2002 to define a standard for guideline reporting that would promote guideline quality and facilitate implementation. Twenty-three people with expertise and experience in guideline development, dissemination, and implementation participated. A list of candidate guideline components was assembled from the Institute of Medicine Provisional Instrument for Assessing Clinical Guidelines, the National Guideline Clearinghouse, the Guideline Elements Model, and other published guideline models. In a 2-stage modified Delphi process, panelists first rated their agreement with the statement that "[Item name] is a necessary component of practice guidelines" on a 9-point scale. An individualized report was prepared for each panelist; the report summarized the panelist's rating for each item and the median and dispersion of rankings of all the panelists. In a second round, panelists separately rated necessity for validity and necessity for practical application. Items achieving a median rank of 7 or higher on either scale, with low disagreement index, were retained as necessary guideline components. Representatives of 22 organizations active in guideline development reviewed the proposed items and commented favorably. Closely related items were consolidated into 18 topics to create the COGS checklist. This checklist provides a framework to support more comprehensive documentation of practice guidelines. Most organizations that are active in guideline development found the component items to be comprehensive and to fit within their existing development methods.

Documentation↗

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↗