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J Marc Overhage

Publications and source records attributed to J Marc Overhage.

8 recordsLinked to original sources

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↗

Detection of pediatric respiratory and diarrheal outbreaks from sales of over-the-counter electrolyte products.

OBJECTIVE: To determine whether sales of electrolyte products contain a signal of outbreaks of respiratory and diarrheal disease in children and, if so, how much earlier a signal relative to hospital diagnoses. DESIGN: Retrospective analysis was conducted of sales of electrolyte products and hospital diagnoses for six urban regions in three states for the period 1998 through 2001. MEASUREMENTS: Presence of signal was ascertained by measuring correlation between electrolyte sales and hospital diagnoses and the temporal relationship that maximized correlation. Earliness was the difference between the date that the exponentially weighted moving average (EWMA) method first detected an outbreak from sales and the date it first detected the outbreak from diagnoses. The coefficient of determination (r2) measured how much variance in earliness resulted from differences in sales' and diagnoses' signal strengths. RESULTS: The correlation between electrolyte sales and hospital diagnoses was 0.90 (95% CI, 0.87-0.93) at a time offset of 1.7 weeks (95% CI, 0.50-2.9), meaning that sales preceded diagnoses by 1.7 weeks. EWMA with a nine-sigma threshold detected the 18 outbreaks on average 2.4 weeks (95% CI, 0.1-4.8 weeks) earlier from sales than from diagnoses. Twelve outbreaks were first detected from sales, four were first detected from diagnoses, and two were detected simultaneously. Only 26% of variance in earliness was explained by the relative strength of the sales and diagnoses signals (r2 = 0.26). CONCLUSION: Sales of electrolyte products contain a signal of outbreaks of respiratory and diarrheal diseases in children and usually are an earlier signal than hospital diagnoses.

Algorithms↗

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 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↗

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↗

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↗

Roundtable on bioterrorism detection: information system-based surveillance.

During the 2001 AMIA Annual Symposium, the Anesthesia, Critical Care, and Emergency Medicine Working Group hosted the Roundtable on Bioterrorism Detection. Sixty-four people attended the roundtable discussion, during which several researchers discussed public health surveillance systems designed to enhance early detection of bioterrorism events. These systems make secondary use of existing clinical, laboratory, paramedical, and pharmacy data or facilitate electronic case reporting by clinicians. This paper combines case reports of six existing systems with discussion of some common techniques and approaches. The purpose of the roundtable discussion was to foster communication among researchers and promote progress by 1) sharing information about systems, including origins, current capabilities, stages of deployment, and architectures; 2) sharing lessons learned during the development and implementation of systems; and 3) exploring cooperation projects, including the sharing of software and data. A mailing list server for these ongoing efforts may be found at http://bt.cirg.washington.edu.

Bioterrorism↗

Does national regulatory mandate of provider order entry portend greater benefit than risk for health care delivery? The 2001 ACMI debate. The American College of Medical Informatics.

The 2001 debate of the American College of Medical Informatics focused on the proposition that national regulatory mandate of computer-based provider order entry (CPOE), to take effect by the end of 2005, portends greater benefit than risk for health care delivery. Both sides accepted that provider order entry offers potential benefit. Those supporting the proposition emphasized public safety, noting that payers have little economic incentive to pay for quality and that a mandate would force vendors to improve the usability and value of their systems. They argued that the mandate would align the economic incentives to finally allow CPOE to be widely adopted. Those opposing the proposition emphasized the risks resulting from a mandate, including the direct implementation costs, the logistic issues of implementation, and the cost of failed implementations. They also noted the potential for errors introduced by the systems themselves and the fact that the safety and utility of commercially available CPOE products have yet to be proved.

Delivery of Health Care↗