Inferring transit-based health seeking patterns from smart card data - A case study in Beijing, China.

Massive electronic trip records have recently been utilized to infer people's trips for healthcare. Many inferential methods were developed to derive healthcare trips by taxi using GPS trajectory records, but little attention is paid to public transit, as a common travel mode for healthcare. This paper proposes a method to fill this gap by mining a big data of smart transit cards with spatio-temporal constraints. We demonstrate and validate this method in Beijing, China. The inferred trips achieve a high degree of consistency, in space and time, with empirically observed trips from a survey. The inferred trips are further used to identify spatial disparities in transit-based access to healthcare, which might have been overlooked by health policy makers.

Effect of Clinical Geriatric Assessments and Collaborative Medication Reviews by Geriatrician and Family Physician for Improving Health-Related Quality of Life in Home-Dwelling Older Patients Receiving Polypharmacy: A Cluster Randomized Clinical Trial.

Importance: Polypharmacy and inappropriate drug regimens are major health concerns among older adults. Various interventions focused on medication optimization strategies have been carried out, but the effect on patient-relevant outcomes remains uncertain. Objective: To investigate the effect of clinical geriatric assessments and collaborative medication reviews by geriatrician and family physician (FP) on health-related quality of life and other patient-relevant outcomes in home-dwelling older patients receiving polypharmacy. Design, Setting, and Participants: Cluster randomized, single-blind, clinical trial. Norwegian FPs were recruited from March 17, 2015, to March 16, 2017, to participate in the trial with their eligible patients. Participants were home-dwelling patients 70 years or older, using at least 7 medications regularly, and having their medications administered by the home nursing service. Patients in the control group received usual care. Randomization occurred at the FP level. A modified intent-to-treat analysis was used. Intervention: The intervention consisted of 3 main parts: (1) clinical geriatric assessment of the patients combined with a thorough review of their medications; (2) a meeting between the geriatrician and the FP; and (3) clinical follow-up. Main Outcomes and Measures: The primary outcome was health-related quality of life as assessed by the 15D instrument (score range, 0-1; higher scores indicate better quality of life, with a minimum clinically important change of ±0.015) at week 16. Secondary outcomes included changes in medication appropriateness, physical and cognitive functioning, use of health services, and mortality. Results: Among 174 patients (mean [SD] age, 83.3 [7.3] years; 67.8% women; 87 randomized to the intervention group and 87 randomized to the control [usual care] group) in 70 FP clusters (36 intervention and 34 control), 158 (90.8%) completed the trial. The mean (SD) 15D instrument score at baseline was 0.708 (0.121) in the intervention group and 0.714 (0.113) in the control group. At week 16, the mean (SD) 15D instrument score was 0.698 (0.164) in the intervention group and 0.655 (0.184) in the control group, with an estimated between-group difference of 0.045 (95% CI, 0.004-0.086; P = .03). Several secondary outcomes were also in favor of the intervention. There were more drug withdrawals, reduced dosages, and new drug regimens started in the intervention group. Conclusions and Relevance: This study's findings indicate that, among older patients exposed to polypharmacy, clinical geriatric assessments and collaborative medication reviews carried out by a geriatrician in cooperation with the patient's FP can result in positive effects on health-related quality of life. Trial Registration: ClinicalTrials.gov identifier: NCT02379455.

An Assessment of the Application of Pharma Cloud System to the National Health Insurance Program of Taiwan and the Result in Hospitals.

National Health Insurance Administration established Pharma Cloud System in July 2014. The purpose is to decrease therapeutic duplications and enhance public medication safety. Comparison will be made among individual hospitals and the administering branches of National Health Insurance Bureau (NHIB) on the statistical data on the inquiry of the cloud medication history record system to understand the result of the installation and advocacy of this system. The results show (1) there were 2,329,846 entries of data collected from the branches of the NHIB from 2015 on cloud medication history record and 50,224 entries of data from individual hospitals. (2) The inquiry rate at the branches of the NHIB was 43.2% from January to April, 2015 and at individual hospitals was 18.8%. (3) The improvement rate at the branches of the NHIB was 32.5% and at the individual hospitals was 47.0% from January to April, 2015.

A prototype of a novel cell phone application for tracking the vaccination coverage of children in rural communities.

Immunization saves millions of lives against vaccine-preventable diseases. Yet, 24 million children born every year do not receive proper immunization during their first year. UNICEF and WHO have emphasized the need to strengthen the immunization surveillance and monitoring in developing countries to reduce childhood deaths. In this regard, we present a software application called Jeev to track the vaccination coverage of children in rural communities. Jeev synergistically combines the power of smartphones and the ubiquity of cellular infrastructure, QR codes, and national identification cards. We present the design of Jeev and highlight its unique features along with a detailed evaluation of its performance and power consumption using the National Immunization Survey datasets. We are in discussion with a non-profit organization in Haiti to pilot test Jeev in order to study its effectiveness and identify socio-cultural issues that may arise in a large-scale deployment.

Evaluating a Proof-of-Concept Approach of the German Health Telematics Infrastructure in the Context of Discharge Management.

Although national eHealth strategies have existed now for more than a decade in many countries, they have been implemented with varying success. In Germany, the eHealth strategy so far has resulted in a roll out of electronic health cards for all citizens in the statutory health insurance, but in no clinically meaningful IT-applications. The aim of this study was to test the technical and organisation feasibility, usability, and utility of an eDischarge application embedded into a laboratory Health Telematics Infrastructure (TI). The tests embraced the exchange of eDischarge summaries based on the multiprofessional HL7 eNursing Summary standard between a municipal hospital and a nursing home. All in all, 36 transmissions of electronic discharge documents took place. They demonstrated the technical-organisation feasibility and resulted in moderate usability ratings. A comparison between eDischarge and paper-based summaries hinted at higher ratings of utility and information completeness for eDischarges. Despite problems with handling the electronic health card, the proof-of-concept for the first clinically meaningful IT-application in the German Health TI could be regarded as successful.

The emergency data set for the German Electronic Health Card--which benefits can be expected?

BACKGROUND: In order to improve access to pre-existing patient information in case of emergency, the German Electronic Health Card (EHC) is supposed to hold emergency data. As a basis, the German Medical Association developed an emergency data set, which provides the possibility to store information on prior diagnoses, medications, allergies and other emergency-relevant information. OBJECTIVES: One main objective of the study is to evaluate the usefulness of the emergency data in specific emergency situations. METHODS: Within a two-phase exploratory study, a total of 64 paper-based emergency data sets were completed by primary care physicians, and then were evaluated by clinicians, emergency physicians, and paramedics. RESULTS: Clinicians, emergency physicians as well as paramedics rated the emergency data set in more than 70% of the reviewed cases as very useful or useful. The greatest benefit was attributed to the information on diagnoses and medication. CONCLUSION: The implementation of an emergency data on the EHC has the potential to improve safety, quality and efficiency of emergency care.

Tracking of examination and dose: overview.

This paper reviews the developments in tracking of patient exposures and dose after the earlier paper published in the same journal in 2011. A global survey in which 76 countries responded indicated strong interest in programme and another survey among referring physicians showed vast majority (71.7 %) of physicians expressing that awareness of previous history of CT scans would always or mostly lead them to a better decision on referring patients for CT scans. A sizable number of countries have system of assigning permanent ID to individuals and nearly half of them use this ID in medical records. This can easily permit tracking of exposures. Templates for tracking at different levels of health care have been provided, and experience from a country where tracking is routinely practised has been published.

In Case of Emergency - Are ICD-10 Codes Enough?

In an acute emergency, the knowledge of the patient's medical history, allergies, implants, and medication can be crucial. ICD-10 code to document medical diagnoses alone often does not contain enough information. Our comparison of 388 documented diagnoses (ICD-10 codes as well as free text) showed that almost 20% of all coded ICD-10 codes contained less information than the documented free text. Thus, if using ICD-10 codes, free text diagnoses must be a necessary item in the upcoming German Medical Emergency DataSet.