Quality of Medical Information Determine the Quality of Diagnosis Code

The accuracy of the diagnosis code has implications for future patient care planning, provision of health services and patient care costs. Therefore, this study has analyzed the influence of the quality of medical information on the quality of the diagnosis code which includes the accuracy, consistency, completeness and timeliness in coding the diagnosis of inpatients at Dr. Moewardi hospital.This was an observational analytic study with a sample of 250 medical records taken using stratified random sampling. Data were analyzed by chi square test. High quality of medical information has a better diagnosis code quality (73.80%) compared to poorly quality of medical information (36.00%). High quality of medical information has a log odds of 1.54 better in the quality of diagnosis code than poorly quality of medical information (b=1.54; 95% CI=0.81-2.27, p<0.001)

Medical Information Representation Framework for Mobile Healthcare

In mobile healthcare, medical information are often expressed in different formats due to the local policies and regulations and the heterogeneity of the applications, systems, and the adopted Information and communication technology. This chapter describes a framework which enables medical information, in particular clinical vital signs and professional annotations, be processed, exchanged, stored and managed modularly and flexibly in a mobile, distributed and heterogeneous environment despite the diversity of the formats used to represent the information. To deal with medical information represented in multiple formats the authors adopt techniques and constructs similar to the ones used on the Internet, in particular, the authors are inspired by the constructs used in multi-media e-mail and audio-visual data streaming standards. They additionally make a distinction of the syntax for data transfer and store from the syntax for expressing medical domain concepts. In this way, they separate the concerns of what to process, exchange and store from how the information can be encoded or transcoded for transfer over the internet. The authors use an object oriented information model to express the domain concepts and their relations while briefly illustrate how framework tools can be used to encode vital sign data for exchange and store in a distributed and heterogeneous environment

Perceived ُSkill Level of Librarians Working at Libraries of Tehran Medical Universities

Introduction: This study conducted to assess the discipline specific and general skill level of librarians working in libraries of the top three Iranian medical universities in Tehran. Methods: The survey was carried out among all 115 librarians working in the libraries of Iran, Tehran and Shahid-Beheshti University of Medical Sciences. The data were analyzed using descriptive statistics and one-way ANOVA. Results: The participants’ perceived skill level in discipline specific set of skills was relatively unsatisfactory in total while their skill level in general skills was relatively satisfactory. The mean scores of the participants’ skill level in six categories of discipline specific skills were as follows: “health sciences environment” (M=2.55), “information services and health sciences resources” (M=3.19), “health information resources management” (M=3.47), “technology and information systems” (M=2.87), “user education” (M=2.80), “research methods” (M=2.67)). The total mean score for general skills was also 2.97 and 3.03. There was a significant relationship between the mean scores of both discipline specific and general skill levels with variables such as the educational level, age and university degree. Furthermore, a statistically significant relationship between work experience and discipline specific skill level was confirmed (P \u3c0.05). Conclusion: Considering the unsatisfactory level of the librarians’ discipline specific skills and the significant relationship between the degree of education and the level of discipline specific and general skills, more effective planning is needed for the training of the required skills, revising the curriculum, and planning for in-service training for LIS professionals

Medical Information Literacy and the Quality of the Medical Services.

Information Literacy is the library operation which makes the library user able to search, retrieve, evaluate, select and use the information resources. Information Literacy is the capability of critical thinking; it is the basis of the continuing education and self -education of the professionals. This skill is more important for Medical Scientists, as they face the continuing change of their discipline. The paper proves the significance of information literacy for the staff of the hospitals, as prerequisite of the qualitative services and the organisation of hospital libraries too. It uses comparative data of the state of the art of the Greek medical libraries and proposes the important items for the success of that innovative and cost-effective service

Medical Information Management System (MIMS): An automated hospital information system

Flexible system of computer programs allows manipulation and retrieval of data related to patient care. System is written in version of FORTRAN developed for CDC-6600 computer

Medical information management

With progress in information and communication technology, medical information has been converted to digital formats and stored and managed using computer systems. The construction, management, and operation of medical information systems and regional medical liaison systems are the main components of the clinical tasks of medical informatics departments. Research using medical information accumulated in these systems is also a task for medical informatics department. Recently, medical real-world data (RWD) accumulated in medical information systems has become a focus not only for primary use but also for secondary uses of medical information. However, there are many problems, such as standardization, collection, cleaning, and analysis of them. The internet of things and artificial intelligence are also being applied in the collection and analysis of RWD and in resolving the above problems. Using these new technologies, progress in medical care and clinical research is about to enter a new era

A medical information system for monitoring respiratory function and related nonlinear dynamics

In this paper the nonlinear effects in the respiratory systems at low frequencies are measured and evaluated in healthy children and healthy adults. To this aim forced oscillations technique (FOT) has been used to non-invasively measure the lung tissue mechanics. FOT does not require any special effort from the patient in contrast with standardized tests where maneuvers are necessary. Hence, FOT is an ideal lung function test for extreme ages, more specifically children and elderly, given the simpleness of measurement technique. Hitherto, measurements at low frequencies (i.e. close to the breathing frequency similar to 0.3 Hz) have been invasively performed in sacrificed animals and on anesthetized humans. Here we measure in the frequency interval 0.1-2 Hz a total number of 94 volunteers (37 adults with ages between 25-35 years and 57 children with ages between 8-11 years). To evaluate the nonlinear contributions of the respiratory tissue, a novel T-index has been introduced. We have tested the hypothesis whether the nonlinear distortions are changing with growth/development of the respiratory tree and aim to quantify its dependence to biometric values. The results obtained indicate that the proposed index can differentiate between the two analyzed groups and that there is a dependence to age, height and weight. A medical information system may use this information to update predictions of respiratory function and provide aid in decision-making process of drug therapy