Improving medication safety by cloud technology: Progression and value-added applications in Taiwan

Liao, Chieh-Yu; Wu, Mingfen; Poon, Sek‐Kwong; Liu, Yingmei; Chen, Hsiu-Chu; Wu, Chieh‐Liang; Sheu, Wayne Huey‐Herng; Liou, Wen-Shyong

doi:10.1016/j.ijmedinf.2019.03.012

Cited by 16 publications

(9 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The reason of using different RSs with different SPs was that many patients have received the laboratory tests in other hospitals or several years ago in ‘usual-care’ hospital, therefore, the physicians would not repeat the tests again. The Taiwan NHI administration would not reimburse the duplicated tests and drug prescriptions if the patients had the same tests and prescriptions recently in other hospitals [ 18 ]. If we used only results of laboratory tests for short SP, many patients with HBV or HCV would be misclassified as without HBV or HCV.…”

Section: Methodsmentioning

confidence: 99%

Validation of coding algorithms for identifying people with viral hepatitis using claims data according to different standard references

Sheu

Chin

et al. 2022

BMC Infect Dis

View full text Add to dashboard Cite

Background To assess the performance of various coding algorithms for identifying people with hepatitis B virus (HBV) and hepatitis C virus (HCV) using claims data according to different reference standards (RSs) and study periods (SPs). Methods A proportional random sampling of 10,000 patients aged ≥ 20 years in a health care system in Southern Taiwan were enrolled as study participants. We used three hierarchical RSs (RS1: having positive results of laboratory tests; R2: having RS1 or having prescriptions of anti-HBV or anti-HCV medications; R3: having R1 or R2 or having textual diagnosis recorded in electrical medical records) with three SPs (4-, 8-, and 12-years) to calculate positive predictive value (PPV) and sensitivity (Sen) of 6 coding algorithms using HBV- and HCV-related International Classification of Disease Tenth Revision Clinical Modification (ICD-10-CM) codes in Taiwan National Health Insurance claims data for years 2016–2019. Results Of 10,000 enrolled participants, the number of participants had confirmed HBV and HCV was 146 and 165, respectively according to RS1 with 4-years SP and increased to 729 and 525, respectively according to RS3 with 12-years SP. For both HBV and HCV, the PPV was lowest according to RS1 and highest according to RS3. The longer the SP, the higher the PPV. However, the Sen was highest according to RS2 with 4-years SP. For both HBV and HCV, the coding algorithm with highest PPV and Sen was “ ≥ 3 outpatient codes” and “ ≥ 2 outpatient or ≥ 1 inpatients codes,” respectively. Conclusions In conclusion, using different RSs with different SPs would result in different estimation of PPV and Sen. To achieve the best yield of both PPV and Sen, the optimal coding algorithm is “ ≥ 2 outpatients or ≥ 1 inpatients codes” for identifying people with HBV or HCV.

show abstract

Section: Methodsmentioning

confidence: 99%

Validation of coding algorithms for identifying people with viral hepatitis using claims data according to different standard references

Sheu

Chin

et al. 2022

BMC Infect Dis

View full text Add to dashboard Cite

show abstract

“…[11][12][13] The PharmaCloud platform has been extended into the MediCloud System; health care providers, after obtaining the informed consent of a patient, can query the health information exchange system to view the results of laboratory tests and reports of examinations performed in previous medical encounters to prevent duplicative testing and examinations. 14,15 The NHIA has also provided the personal health record "MyHealth Bank" service for patients, who can view the results of laboratory tests and reports of examinations through their mobile phone and a desktop app. 16,17 The contracted hospitals, clinics, and laboratory centers are thus required to upload the results of laboratory tests and reports of examinations to the NHIA.…”

Section: Why Were the Databases Established?mentioning

confidence: 99%

Existing Data Sources in Clinical Epidemiology: The Taiwan National Health Insurance Laboratory Databases

Lee¹,

Kao²,

Liang³

et al. 2021

CLEP

View full text Add to dashboard Cite

“…Each health care provider could query the patient's recent records of medication and examinations within 3 months. There were some studies for attitudes of health providers, drugs and drug interaction, and duplicate medications with the aim of increasing safety through clinical decision-support technology that improves the safety of medications [2,5,6]. It was upgraded to the MediCloud system based on the needs of clinical practice, with reports of examinations and inpatient electronic health records added in 2016.…”

Section: Introductionmentioning

confidence: 99%

Improvement the Healthcare Quality of Emergency Department after the Cloud-Based System of Medical Information-Exchange Implementation

Lin

Cheng

et al. 2021

Healthcare

View full text Add to dashboard Cite

Background: The National Health Insurance has been implemented in Taiwan since 1995. The government established a medical information-exchange system to reduce duplicate medications and examinations, which have inhibited healthcare expenditures. The potential benefit of medical information exchange about healthcare quality in emergency departments (ED) was worthy of evaluating; Methods: The inquiry rate of cloud data for patients’ information in Taiwanese National Health Insurance Administration was defined as a factor, and the healthcare quality included the ratio of staying more than 48 h in the ED and the hospitalization rate within 8 h from ED by triage levels of 1, 2, and 3 in different levels of hospitals from 2013 to 2019. Poisson regression analysis was used to quantify time trends of the query rate of the MediCloud system, the rate of staying more than 48 h in ED, admission rate within 8 h in ED, and the effect of healthcare quality in ED after MediCloud system implementation; Results: The health information exchange decreased the rate of staying over 48 h in the ED of medical centers. It also improved the early hospitalization of urgent ED patients in regional hospitals; Conclusions: Through medical information exchange to understand patients’ current conditions, we can reduce crowding in the ED of medical centers and facilitate rapid hospitalization of urgent patients in regional hospitals. According to these findings, the government should establish medical information exchange to improve the healthcare quality of ED.

show abstract

Improving medication safety by cloud technology: Progression and value-added applications in Taiwan

Cited by 16 publications

References 18 publications

Validation of coding algorithms for identifying people with viral hepatitis using claims data according to different standard references

Validation of coding algorithms for identifying people with viral hepatitis using claims data according to different standard references

Existing Data Sources in Clinical Epidemiology: The Taiwan National Health Insurance Laboratory Databases

Improvement the Healthcare Quality of Emergency Department after the Cloud-Based System of Medical Information-Exchange Implementation

Contact Info

Product

Resources

About