No abstract available.
Social Media*

OBJECTIVES: The goal of this report is to present an individual patient's survival estimation curve using the each institution's survival data after Cox proportional hazard analysis. METHODS: The program was developed in three parts: input of basic data from Cox proportional hazard analysis, input of individual patient's covariates, and presentation of individual patient's survival curve. In the first part, the average survival rates with each survival time were entered as the means of covariates using the results of Cox proportional hazard analysis. In the second part, the individual patient's values of each covariate were entered for the calculation of survival estimation. In the third part, the survival curve was displayed according to the input data. RESULTS: The data of 2,652 breast cancer patients were analyzed. Cox regression analysis was conducted using the covariates of age, tumor size, N stage, and M stage. The individual patient's survival curve was presented using the basic data and covariate factors. In the breast cancer patients, the program presented survival curves according to each patient's age, tumor size, N stage, and M stage. The data of 251 thyroid cancer patients were analyzed by a similar method. CONCLUSIONS: We developed a program to present individual survival curves of cancer patients. This program will be useful for clinicians to assist their decision-making and discussion with patients.
Breast Neoplasms ; Humans ; Prognosis ; Survival Rate ; Thyroid Neoplasms

OBJECTIVES: This study aimed to determine the effect of mobile-based discussion versus computer-based discussion on self-directed learning readiness, academic motivation, learner-interface interaction, and flow state. METHODS: This randomized controlled trial was conducted at one university. Eighty-six nursing students who were able to use a computer, had home Internet access, and used a mobile phone were recruited. Participants were randomly assigned to either the mobile phone app-based discussion group (n = 45) or a computer web-based discussion group (n = 41). The effect was measured at before and after an online discussion via self-reported surveys that addressed academic motivation, self-directed learning readiness, time distortion, learner-learner interaction, learner-interface interaction, and flow state. RESULTS: The change in extrinsic motivation on identified regulation in the academic motivation (p = 0.011) as well as independence and ability to use basic study (p = 0.047) and positive orientation to the future in self-directed learning readiness (p = 0.021) from pre-intervention to post-intervention was significantly more positive in the mobile phone app-based group compared to the computer web-based discussion group. Interaction between learner and interface (p = 0.002), having clear goals (p = 0.012), and giving and receiving unambiguous feedback (p = 0.049) in flow state was significantly higher in the mobile phone app-based discussion group than it was in the computer web-based discussion group at post-test. CONCLUSIONS: The mobile phone might offer more valuable learning opportunities for discussion teaching and learning methods in terms of self-directed learning readiness, academic motivation, learner-interface interaction, and the flow state of the learning process compared to the computer.
Cellular Phone ; Humans ; Internet ; Learning* ; Mobile Applications ; Motivation ; Students, Nursing*

OBJECTIVES: The widespread adoption of health information technology (IT) will help contain health care costs by decreasing inefficiencies in healthcare delivery. Theoretically, health IT could lower hospitals' malpractice insurance premiums (MIPs) and improve the quality of care by reducing the number and size of malpractice. This study examines the relationship between health IT investment and MIP using California hospital data from 2006 to 2007. METHODS: To examine the effect of hospital IT on malpractice insurance expense, a generalized estimating equation (GEE) was employed. RESULTS: It was found that health IT investment was not negatively associated with MIP. Health IT was reported to reduce medical error and improve efficiency. Thus, it may reduce malpractice claims from patients, which will reduce malpractice insurance expenses for hospitals. However, health IT adoption could lead to increases in MIPs. For example, we expect increases in MIPs of about 1.2% and 1.5%, respectively, when health IT and labor increase by 10%. CONCLUSIONS: This study examined the effect of health IT investment on MIPs controlling other hospital and market, and volume characteristics. Against our expectation, we found that health IT investment was not negatively associated with MIP. There may be some possible reasons that the real effect of health IT on MIPs was not observed; barriers including communication problems among health ITs, shorter sample period, lower IT investment, and lack of a quality of care measure as a moderating variable.
California ; Delivery of Health Care ; Electronic Health Records ; Health Care Costs ; Health Information Systems ; Humans ; Insurance* ; Investments ; Malpractice* ; Medical Errors ; Medical Informatics*

OBJECTIVES: Acceleration plethysmogram (APG) obtained from the second derivative of photoplethysmography (PPG) is used to predict risk factors for atherosclerosis with age. This technique is promising for early screening of atherosclerotic pathologies. However, extraction of the wave indices of APG signals measured from the fingertip is challenging. In this paper, the development of a wave detection algorithm including a preamplifier based on a microcontroller that can detect the a, b, c, and d wave indices is proposed. METHODS: The 4th order derivative of a PPG under real measurements of an APG waveform was introduced to clearly separate the components of the waveform, and to improve the rate of successful wave detection. A preamplifier with a Sallen-Key low pass filter and a wave detection algorithm with programmable gain control, mathematical differentials, and a digital IIR notch filter were designed. RESULTS: The frequency response of the digital IIR filter was evaluated, and a pulse train consisting of a specific area in which the wave indices existed was generated. The programmable gain control maintained a constant APG amplitude at the output for varying PPG amplitudes. For 164 subjects, the mean values and standard deviation of the a wave index corresponding to the magnitude of the APG signal were 1,106.45 and +/-47.75, respectively. CONCLUSIONS: We conclude that the proposed algorithm and preamplifier designed to extract the wave indices of an APG in real-time are useful for evaluating vascular aging in the cardiovascular system in a simple healthcare device.
Acceleration* ; Aging ; Atherosclerosis ; Cardiovascular System ; Delivery of Health Care ; Mass Screening ; Pathology ; Photoplethysmography ; Risk Factors ; Vascular Stiffness

OBJECTIVES: The ability to support healthcare document sharing is imperative in a health information exchange (HIE). Sharing imaging documents or images, however, can be challenging, especially when they are stored in a picture archiving and communication system (PACS) archive that does not support document sharing via standard HIE protocols. This research proposes a standard-compliant imaging gateway that enables connectivity between a legacy PACS and the entire HIE. METHODS: Investigation of the PACS solutions used at Gil Hospital was conducted. An imaging gateway application was then developed using a Java technology stack. Imaging document sharing capability enabled by the gateway was tested by integrating it into Gil Hospital's order communication system and its HIE infrastructure. RESULTS: The gateway can acquire radiology images from a PACS storage system, provide and register the images to Gil Hospital's HIE for document sharing purposes, and make the images retrievable by a cross-enterprise document sharing document viewer. CONCLUSIONS: Development of an imaging gateway that mediates communication between a PACS and an HIE can be considered a viable option when the PACS does not support the standard protocol for cross-enterprise document sharing for imaging. Furthermore, the availability of common HIE standards expedites the development and integration of the imaging gateway with an HIE.
Archives ; Delivery of Health Care ; Indonesia

OBJECTIVES: The objective is to introduce 'clinical archetype' which is a formal and agreed way of representing clinical information to ensure interoperability across and within Electronic Health Records (EHRs). The paper also aims at presenting the challenges building quality labeled clinical archetypes and the challenges towards achieving semantic interoperability between EHRs. METHODS: Twenty years of international research, various European healthcare informatics projects and the pioneering work of the openEHR Foundation have led to the following results. RESULTS: The requirements for EHR information architectures have been consolidated within ISO 18308 and adopted within the ISO 13606 EHR interoperability standard. However, a generic EHR architecture cannot ensure that the clinical meaning of information from heterogeneous sources can be reliably interpreted by receiving systems and services. Therefore, clinical models called 'clinical archetypes' are required to formalize the representation of clinical information within the EHR. Part 2 of ISO 13606 defines how archetypes should be formally represented. The current challenge is to grow clinical communities to build a library of clinical archetypes and to identify how evidence of best practice and multi-professional clinical consensus should best be combined to define archetypes at the optimal level of granularity and specificity and quality label them for wide adoption. Standardizing clinical terms within EHRs using clinical terminology like Systematized Nomenclature of Medicine Clinical Terms is also a challenge. CONCLUSIONS: Clinical archetypes would play an important role in achieving semantic interoperability within EHRs. Attempts are being made in exploring the design and adoption challenges for clinical archetypes.
Consensus ; Delivery of Health Care ; Electronic Health Records ; Health Information Management ; Informatics ; Practice Guidelines as Topic ; Semantics* ; Sensitivity and Specificity ; Systematized Nomenclature of Medicine

OBJECTIVES: This study considered whether there could be a change of mortality and length of stay as a result of inter-hospital transfer, clinical department, and size of hospital for patients with organophosphates and carbamates poisoning via National Patients Sample data of the year 2009, which was obtained from Health Insurance Review and Assessment Services (HIRA). The utility and representativeness of the HIRA data as the source of prognosis analysis in poisoned patients were also evaluated. METHODS: Organophosphate and carbamate poisoned patients' mortality and length of stay were analyzed in relation to the initial and final treating hospitals and departments, as well as the presence of inter-hospital transfers. RESULTS: Among a total of 146 cases, there were 17 mortality cases, and the mean age was 56.8 +/- 19.2 years. The median length of stay was 6 days. There was no inter-hospital or inter-departmental difference in length of stay. However, it significantly increased when inter-hospital transfer occurred (transferred 11 days vs. non-transferred 6 days; p = 0.037). Overall mortality rate was 11.6%. The mortality rate significantly increased when inter-hospital transfer occurred (transferred 23.5% vs. non-transferred 7.0%; p = 0.047), but there was no statistical difference in mortality on inter-hospital and inter-department comparison at the initial treating facility. However, at the final treating facility, there was a significant difference between tertiary and general hospitals (5.1% for tertiary hospitals and 17.3% for general hospitals; p = 0.024), although there was no significant inter-departmental difference. CONCLUSIONS: We demonstrated that hospital, clinical department, length of stay, and mortality could be analyzed using insurance claim data of a specific disease group. Our results also indicated that length of stay and mortality according to inter-hospital transfer could be analyzed, which was previously unknown.
Admitting Department, Hospital ; Carbamates ; Hospitals, General ; Humans ; Insecticides ; Insurance ; Insurance, Health ; Length of Stay* ; Mortality* ; Organophosphates ; Pesticides ; Poisoning ; Prognosis ; Tertiary Care Centers

OBJECTIVES: This article describes the Web application framework for Electronic Health Records (EHRs) we have developed to reduce construction costs for EHR sytems. METHODS: The openEHR project has developed clinical model driven architecture for future-proof interoperable EHR systems. This project provides the specifications to standardize clinical domain model implementations, upon which the ISO/CEN 13606 standards are based. The reference implementation has been formally described in Eiffel. Moreover C# and Java implementations have been developed as reference. While scripting languages had been more popular because of their higher efficiency and faster development in recent years, they had not been involved in the openEHR implementations. From 2007, we have used the Ruby language and Ruby on Rails (RoR) as an agile development platform to implement EHR systems, which is in conformity with the openEHR specifications. RESULTS: We implemented almost all of the specifications, the Archetype Definition Language parser, and RoR scaffold generator from archetype. Although some problems have emerged, most of them have been resolved. CONCLUSIONS: We have provided an agile EHR Web framework, which can build up Web systems from archetype models using RoR. The feasibility of the archetype model to provide semantic interoperability of EHRs has been demonstrated and we have verified that that it is suitable for the construction of EHR systems.
Automatic Data Processing ; Computing Methodologies ; Electronic Health Records ; Indonesia ; Internet ; Semantics

OBJECTIVES: The purposes of this study were to examine the predictive validity of the Cubbin and Jackson pressure ulcer risk assessment scale for the development of pressure ulcers in intensive care unit (ICU) patients retrospectively and to evaluate the reusability of Electronic Medical Records (EMR) data. METHODS: A retrospective design was used to examine 829 cases admitted to four ICUs in a tertiary care hospital from May 2010 to April 2011. Patients who were without pressure ulcers at admission to ICU, 18 years or older, and had stayed in ICU for 24 hours or longer were included. Sensitivity, specificity, positive predictive value, negative predictive value, and area under the curve (AUC) were calculated. RESULTS: The reported incidence rate of pressure ulcers among the study subjects was 14.2%. At the cut-off score of 24 of the Cubbin and Jackson scale, the sensitivity, specificity, positive predictive value, negative predictive value, and AUC were 72.0%, 68.8%, 27.7%, 93.7%, and 0.76, respectively. Eight items out 10 of the Cubbin and Jackson scale were readily available in the EMR data. CONCLUSIONS: The Cubbin and Jackson scale performed slightly better than the Braden scale to predict pressure ulcer development. Eight items of the Cubbin and Jackson scale except mobility and hygiene can be extracted from the EMR, which initially demonstrated the reusability of EMR data for pressure ulcer risk assessment. If the Cubbin and Jackson scale is a part of the EMR assessment form, it would help nurses perform tasks to effectively prevent pressure ulcers with an EMR alert for high-risk patients.
Area Under Curve ; Critical Care* ; Electronic Health Records ; Humans ; Hygiene ; Incidence ; Intensive Care Units ; Nursing Assessment ; Pressure Ulcer* ; Retrospective Studies ; Risk Assessment* ; Sensitivity and Specificity ; Tertiary Healthcare