Design and implementation of a seamless and comprehensive integrated medical device interface system for outpatient electronic medical records in a general hospital

Towards an evaluation framework for medical device-integrated electronic medical record

INTRODUCTION

Medical device (MD)-integrated (I) electronic medical record (EMR) (MDI-EMR) poses cyber threats that undermine patient safety, and thus, they require effective control mechanisms. We reviewed the related literature, including existing EMR and MD risk assessment approaches, to identify MDI-EMR comprehensive evaluation dimensions and measures.

AREAS COVERED

We searched multiple databases, including PubMed, Web of Knowledge, Scopus, ACM, Embase, IEEE and Ingenta. We explored various evaluation aspects of MD and EMR to gain a better understanding of their complex integration. We reviewed numerous risk management and assessment frameworks related to MD and EMR security aspects and mitigation controls and then identified their common evaluation aspects. Our review indicated that previous evaluation frameworks assessed MD and EMR independently. To address this gap, we proposed an evaluation framework based on the sociotechnical dimensions of health information systems and risk assessment approaches for MDs to evaluate MDI-EMR integratively.

EXPERT OPINION

The emergence of MDI-EMR cyber threats requires appropriate evaluation tools to ensure the safe development and application of MDI-EMR. Consequently, our proposed framework will continue to evolve through subsequent validations and refinements. This process aims to establish its applicability in informing stakeholders of the safety level and assessing its effectiveness in mitigating risks for future improvements.

Management of public healthcare facilities in the Philippines: issues and concerns

Background/Aims

Public hospitals are the primary means of healthcare delivery in developing countries. Given the pressing need for efficient health services, it is imperative to know the extent to which a country's public healthcare institutions meet an ever increasing public demand. This study aimed to assess the state of hospital facilities among public health care institutions in a developing country.

Methods

Descriptive research methods were used, including needs analysis along with management and client satisfaction surveys, in order to analyse information on issues that related to the management of hospital facilities in the Philippines. Various members of the hospital community were selected to assess different aspects of hospital management.

Results

The results of this study show that most concerns stemmed from the lack of financial resources, materials, equipment and technological innovations; insufficient knowledge, skills and human resources; and problems that related to processes and methodologies.

Conclusions

Public hospitals are in dire need of facility upkeep to maintain their operations. This has become a more pressing concern because of the very limited resources at the disposal of public hospitals. This study also highlighted the crucial role played by the national government in finding effective and efficient ways to address these issues and concerns to ensure successful delivery of healthcare services in the country.

Transcription Errors of Blood Glucose Values and Insulin Errors in an Intensive Care Unit: Secondary Data Analysis Toward Electronic Medical Record-Glucometer Interoperability

BACKGROUND

Critically ill patients require constant point-of-care blood glucose testing to guide insulin-related decisions. Transcribing these values from glucometers into a paper log and the electronic medical record is very common yet error-prone in intensive care units, given the lack of connectivity between glucometers and the electronic medical record in many US hospitals.

OBJECTIVE

We examined (1) transcription errors of glucometer blood glucose values documented in the paper log and in the electronic medical record vital signs flow sheet in a surgical trauma intensive care unit, (2) insulin errors resulting from transcription errors, (3) lack of documenting these values in the paper log and the electronic medical record vital signs flow sheet, and (4) average time for docking the glucometer.

METHODS

This secondary data analysis examined 5049 point-of-care blood glucose tests. We obtained values of blood glucose tests from bidirectional interface software that transfers the meters' data to the electronic medical record, the paper log, and the vital signs flow sheet. We obtained patient demographic and clinical-related information from the electronic medical record.

RESULTS

Of the 5049 blood glucose tests, which were pertinent to 234 patients, the total numbers of undocumented or untranscribed tests were 608 (12.04%) in the paper log, 2064 (40.88%) in the flow sheet, and 239 (4.73%) in both. The numbers of transcription errors for the documented tests were 98 (2.21% of 4441 documented tests) in the paper log, 242 (8.11% of 2985 tests) in the flow sheet, and 43 (1.64% of 2616 tests) in both. The numbers of transcription errors per patient were 0.4 (98 errors/234 patients) in the paper log, 1 (242 errors/234 patients) in the flow sheet, and 0.2 in both (43 errors/234 patients). Transcription errors in the paper log, the flow sheet, and in both resulted in 8, 24, and 2 insulin errors, respectively. As a consequence, patients were given a lower or higher insulin dose than the dose they should have received had there been no errors. Discrepancies in insulin doses were 2 to 8 U lower doses in paper log transcription errors, 10 U lower to 3 U higher doses in flow sheet transcription errors, and 2 U lower in transcription errors in both. Overall, 30 unique insulin errors affected 25 of 234 patients (10.7%). The average time from point-of-care testing to meter docking was 8 hours (median 5.5 hours), with some taking 56 hours (2.3 days) to be uploaded.

CONCLUSIONS

Given the high dependence on glucometers for point-of-care blood glucose testing in intensive care units, full electronic medical record-glucometer interoperability is required for complete, accurate, and timely documentation of blood glucose values and elimination of transcription errors and the subsequent insulin-related errors in intensive care units.

Cost-benefit analysis of electronic medical record system at a tertiary care hospital

Objectives

Although Electronic Medical Record (EMR) systems provide various benefits, there are both advantages and disadvantages regarding its cost-effectiveness. This study analyzed the economic effects of EMR systems using a cost-benefit analysis based on the differential costs of managerial accounting.

Methods

Samsung Medical Center (SMC) is a general hospital in Korea that developed an EMR system for outpatients from 2006 to 2008. This study measured the total costs and benefits during an 8-year period after EMR adoption. The costs include the system costs of building the EMR and the costs incurred in smoothing its adoption. The benefits included cost reductions after its adoption and additional revenues from both remodeling of paper-chart storage areas and medical transcriptionists' contribution. The measured amounts were discounted by SMC's expected interest rate to calculate the net present value (NPV), benefit-cost ratio (BCR), and discounted payback period (DPP).

Results

During the analysis period, the cumulative NPV and the BCR were US$3,617 thousand and 1.23, respectively. The DPP was about 6.18 years.

Conclusions

Although the adoption of an EMR resulted in overall growth in administrative costs, it is cost-effective since the cumulative NPV was positive. The positive NPV was attributed to both cost reductions and additional revenues. EMR adoption is not so attractive to management in that the DPP is longer than 5 years at 6.18 and the BCR is near 1 at 1.23. However, an EMR is a worthwhile investment, seeing that this study did not include any qualitative benefits and that the paper-chart system was cost-centric.