Medical Information Management: Improving the Transfer of Research Results to Presurgical Evaluation

Chase, Christopher R.; Vacek, Pamela M.; Shinozaki, Tamotsu; Giard, Ann M.; Ashikaga, Takamaru

doi:10.1097/00005650-198304000-00004

Cited by 24 publications

(6 citation statements)

References 15 publications

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“…Five studies [13][14][15][16][17] assessed the role of CDSSs in diagnosis, all from the initial review. These evaluated a variety of systems designed to assist in the management of pediatric patients or patients presenting with chest or abdominal pain.…”

Section: Diagnosismentioning

confidence: 99%

Effects of Computer-Based Clinical Decision Support Systems on Physician Performance and Patient Outcomes

Hunt¹,

Haynes²,

Hanna³

et al. 1998

JAMA

1,366

817

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Section: Diagnosismentioning

confidence: 99%

Effects of Computer-Based Clinical Decision Support Systems on Physician Performance and Patient Outcomes

Hunt¹,

Haynes²,

Hanna³

et al. 1998

JAMA

1,366

817

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“…In order for more general diagnostic systems to succeed, he identified key steps which included: (1) development and maintenance of comprehensive medical databases; (2) better integration with HIT to avoid extensive data entry; and (3) improved user interfaces. Three subsequent reviews of computerised decision support22–24 identified a relatively small number of studies of diagnostic systems with only a handful showing improvement in clinician performance and only one demonstrating improved patient outcomes 25…”

Section: Introductionmentioning

confidence: 99%

Use of health information technology to reduce diagnostic errors

2013

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BackgroundHealth information technology (HIT) systems have the potential to reduce delayed, missed or incorrect diagnoses. We describe and classify the current state of diagnostic HIT and identify future research directions.Methods A multi-pronged literature search was conducted using PubMed, Web of Science, backwards and forwards reference searches and contributions from domain experts. We included HIT systems evaluated in clinical and experimental settings as well as previous reviews, and excluded radiology computer-aided diagnosis, monitor alerts and alarms, and studies focused on disease staging and prognosis. Articles were organised within a conceptual framework of the diagnostic process and areas requiring further investigation were identified.ResultsHIT approaches, tools and algorithms were identified and organised into 10 categories related to those assisting: (1) information gathering; (2) information organisation and display; (3) differential diagnosis generation; (4) weighing of diagnoses; (5) generation of diagnostic plan; (6) access to diagnostic reference information; (7) facilitating follow-up; (8) screening for early detection in asymptomatic patients; (9) collaborative diagnosis; and (10) facilitating diagnostic feedback to clinicians. We found many studies characterising potential interventions, but relatively few evaluating the interventions in actual clinical settings and even fewer demonstrating clinical impact.ConclusionsDiagnostic HIT research is still in its early stages with few demonstrations of measurable clinical impact. Future efforts need to focus on: (1) improving methods and criteria for measurement of the diagnostic process using electronic data; (2) better usability and interfaces in electronic health records; (3) more meaningful incorporation of evidence-based diagnostic protocols within clinical workflows; and (4) systematic feedback of diagnostic performance.

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“…P hysicians are reluctant to use medical decision aids, despite their documented ability to improve the quality of patient care [1][2][3][4][5][6] . For example, Garg's systematic review 1 found that clinical decision support systems improved performance in 64% of the 97 studies identified.…”

mentioning

confidence: 99%

Are Residents’ Decisions Influenced More by a Decision Aid or a Specialist’s Opinion? A Randomized Controlled Trial

2010

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Medical Information Management: Improving the Transfer of Research Results to Presurgical Evaluation

Cited by 24 publications

References 15 publications

Effects of Computer-Based Clinical Decision Support Systems on Physician Performance and Patient Outcomes

Effects of Computer-Based Clinical Decision Support Systems on Physician Performance and Patient Outcomes

Use of health information technology to reduce diagnostic errors

Are Residents’ Decisions Influenced More by a Decision Aid or a Specialist’s Opinion? A Randomized Controlled Trial

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