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ICU Clinical Information Management System. An Investigation for a Pediatric Intensive Care Unit Steven Sousa Ann Thompson. Background. The patient record is a critical part of modern medical care
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ICU Clinical Information Management System An Investigation for a Pediatric Intensive Care Unit Steven Sousa Ann Thompson
Background • The patient record is a critical part of modern medical care • Patient data is rarely consolidated in a format that supports good and efficient decision making • As hospital care becomes more and more complex, the paper record becomes more and more inadequate
“Putting it on Paper” • What efficiencies would be realized if a medical facility would go “paperless”? • Here are some interesting numbers for you:
Flowsheet Baby Paper chart
The ICU Patient • ICU patients have rapidly changing disease, often on a background of complex chronic disorders, with life-threatening dysfunction of one or more vital organ systems • Patient management is increasingly complex • Average patient undergoes 12-25 laboratory tests per day, receives 5-15 different drugs, and 1-5 radiologic procedures
Those Involved • Multiple physician specialists sub-specialists, nurses, respiratory therapists, pharmacists, and multiple other health professionals • Diagnosis typically involves extensive laboratory testing as well as radiologic procedures. • Treatment requires multiple pharmaceutical agents as well as extensive mechanical systems • Frequent reassessment requires immediate access to new information
Respiratory therapist Respiratory chart ECMO technicians Nurse Bedside chart Primary chart Kardex
Children’s Hospital • The Hospital is a 235 bed, private, independent, academic hospital affiliated with the University • PICU complex is comprised of a 51 bed subset (20% of total beds) • 2000 patients admitted a year • Avg. length of stay is 6 days • Total patients days is about 12,000
Current Situation • Current PICU data management • A Multiple paper charts for each patient • B Manual transfer of data from monitors, labs, etc to flowsheet • C Data analysis only by chart review • Children’s Hospital information systems • A Multiple systems specific to service (clinical laboratory, pharmacy, administration, etc) • B New installation of integration engine (Datagate) • C Limited ability to query any of the systems
Desired Outcomes • Integrate/Consolidate multiple paper charts and computerized databases • Demographic data (ADT info) • Integration with billing services • Physiologic monitoring results • Organ system support employed • Laboratory, radiology, pathology testing results • Pharmacy support (drug dosages, interactions, allergies, etc.)
Desired Outcomes (Cont’d) • Kardex function • Integration with care paths • Outcomes data for regulatory bodies • Capability to display variety of outputs • Adaptability to PICU • Medical narrative: progress notes • Formatted v. free text (speech recognition) • Searchable text
Vendors Analysis • Eclipsys • Ranking: 4.5 • Cost: $1,499,000 + • Clinicomp, International • Ranking: 3.9 • Cost: $ 989,750+ • Agilent Technologies • Ranking: (Incomplete) • Cost: $1,238,497 +
Marketed Vendor Benefits • Automates multidisciplinary documentation • Establishes a “paperless record” • Provides real-time access to data and decision support • Minimizes duplicated data entry or potential handwriting errors • Alerts users at the point of care of possible mistakes or errors • Allows users to generate a complete audit trail
Marketed Vendor Benefits • Interfaces to bedside instruments and monitors • Integrates existing enterprise legacy systems • Improves the continuity of care with patient care plans or clinical pathways • Supports rapid information retrieval • Supports clinical decision making
Eclipsys monitor screens
Gap Assessment • Benchmarking • Outcomes Comparison • Trend Analysis • Speech Recognition • Security (lacking information on adequacy of current features • Free Text Retrieval • Primitive Decision Support Capability • Image Capability • User Acceptance
Recommendations • Current systems would provide an electronic equivalent of the current paper record, probably with less missing data • Doubt FTE savings • Little support for reducing other costs
Recommendations • New features (which include decision support, knowledge-based orders, data mining and analysis) are being developed rapidly • Reduc errors • Avoid redundancy • Improve compliance with care paths • Improve outcomes • Increase awareness of costs
Recommendations • Send out new RFP focused on data analysis and decision support • Delay purchase until this information is available