Family Consultation to Reduce Early Hospital Readmissions among Patients with End Stage Kidney Disease: A Randomized Controlled Trial

BACKGROUND AND OBJECTIVES

The US Centers for Medicare and Medicaid Services have mandated reducing early (30-day) hospital readmissions to improve patient care and reduce costs. Patients with ESKD have elevated early readmission rates, due in part to complex medical regimens but also cognitive impairment, literacy difficulties, low social support, and mood problems. We developed a brief family consultation intervention to address these risk factors and tested whether it would reduce early readmissions.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

One hundred twenty hospitalized adults with ESKD (mean age=58 years; 50% men; 86% black, 14% white) were recruited from an urban, inpatient nephrology unit. Patients were randomized to the family consultation (n=60) or treatment-as-usual control (n=60) condition. Family consultations, conducted before discharge at bedside or via telephone, educated the family about the patient's cognitive and behavioral risk factors for readmission, particularly cognitive impairment, and how to compensate for them. Blinded medical record reviews were conducted 30 days later to determine readmission status (primary outcome) and any hospital return visit (readmission, emergency department, or observation; secondary outcome). Logistic regressions tested the effects of the consultation versus control on these outcomes.

RESULTS

Primary analyses were intent-to-treat. The risk of a 30-day readmission after family consultation (n=12, 20%) was 0.54 compared with treatment-as-usual controls (n=19, 32%), although this effect was not statistically significant (odds ratio, 0.54; 95% confidence interval, 0.23 to 1.24; P=0.15). A similar magnitude, nonsignificant result was observed for any 30-day hospital return visit: family consultation (n=19, 32%) versus controls (n=28, 47%; odds ratio, 0.53; 95% confidence interval, 0.25 to 1.1; P=0.09). Per protocol analyses (excluding three patients who did not receive the assigned consultation) revealed similar results.

CONCLUSIONS

A brief consultation with family members about the patient's cognitive and psychosocial risk factors had no significant effect on 30-day hospital readmission in patients with ESKD.

A Review of Data Quality Assessment in Emergency Medical Services

INTRODUCTION

Data quality is an important issue in emergency medicine. The unique characteristics of emergency care services, such as high turn-over and the speed of work may increase the possibility of making errors in the related settings. Therefore, regular data quality assessment is necessary to avoid the consequences of low quality data. This study aimed to identify the main dimensions of data quality which had been assessed, the assessment approaches, and generally, the status of data quality in the emergency medical services.

METHODS

The review was conducted in 2016. Related articles were identified by searching databases, including Scopus, Science Direct, PubMed and Web of Science. All of the review and research papers related to data quality assessment in the emergency care services and published between 2000 and 2015 (n=34) were included in the study.

RESULTS

The findings showed that the five dimensions of data quality; namely, data completeness, accuracy, consistency, accessibility, and timeliness had been investigated in the field of emergency medical services. Regarding the assessment methods, quantitative research methods were used more than the qualitative or the mixed methods. Overall, the results of these studies showed that data completeness and data accuracy requires more attention to be improved.

CONCLUSION

In the future studies, choosing a clear and a consistent definition of data quality is required. Moreover, the use of qualitative research methods or the mixed methods is suggested, as data users' perspectives can provide a broader picture of the reasons for poor quality data.

HEDEA: A Python Tool for Extracting and Analysing Semi-structured Information from Medical Records

Objectives

One of the most important functions for a medical practitioner while treating a patient is to study the patient's complete medical history by going through all records, from test results to doctor's notes. With the increasing use of technology in medicine, these records are mostly digital, alleviating the problem of looking through a stack of papers, which are easily misplaced, but some of these are in an unstructured form. Large parts of clinical reports are in written text form and are tedious to use directly without appropriate pre-processing. In medical research, such health records may be a good, convenient source of medical data; however, lack of structure means that the data is unfit for statistical evaluation. In this paper, we introduce a system to extract, store, retrieve, and analyse information from health records, with a focus on the Indian healthcare scene.

Methods

A Python-based tool, Healthcare Data Extraction and Analysis (HEDEA), has been designed to extract structured information from various medical records using a regular expression-based approach.

Results

The HEDEA system is working, covering a large set of formats, to extract and analyse health information.

Conclusions

This tool can be used to generate analysis report and charts using the central database. This information is only provided after prior approval has been received from the patient for medical research purposes.

Caveats for the Use of the Active Problem List as Ground Truth for Decision Support

Diagnoses recorded on the problem list are increasingly being used for decision support applications. To obtain insight in the adequacy of the clinical user interface to capture what the clinician has in mind, and to reconstruct the clinical reality of the patient, we analyzed in the database of an EHR system the transactions that resulted from managing the problem list. Our findings indicate (1) that caution is required when using the evolution of the problem list for determining comorbidity or ongoing disease, and (2) that similarities or differences in problem list annotation sequences do not always correspond with similarities resp. differences in disease courses. It is to be investigated whether automatically identifiable subsets of problem list evolution patterns exist from which ground truth reliably can be inferred or whether clinicians need more education in how problem list user interfaces should be used to avoid erroneous interpretations by clinical decision support applications.

Congruence of Patient Self-Rating of Health with Family Physician Ratings

BACKGROUND

A single self-rated health (SRH) question is associated with health outcomes, but agreement between SRH and physician-rated patient health (PRPH) has been poorly studied. We studied patient and physician reasoning for health ratings and the role played by patient lifestyle and objective health measures in the congruence between SRH and PRPH.

METHODS

Surveys of established family medicine patients and their physicians, and medical record review at 4 offices. Patients and physicians rated patient health on a 5-point scale and gave reasons for the rating and suggestions for improving health. Patients' and physicians' reasons for ratings and improvement suggestions were coded into taxonomies developed from the data. Bivariate relationships between the variables and the difference between SRH and PRPH were examined and all single predictors of the difference were entered into a multivariable regression model.

RESULTS

Surveys were completed by 506 patients and 33 physicians. SRH and PRPH ratings matched exactly for 38% of the patient-physician dyads. Variables associated with SRH being lower than PRPH were higher patient body mass index (P = .01), seeing the physician previously (P = .04), older age, (P < .001), and a higher comorbidity score (P = .001). Only 25.7% of the dyad reasons for health status rating and 24.1% of needed improvements matched, and these matches were unrelated to SRH/PRPH agreement. Physicians focused on disease in their reasoning for most patients, whereas patients with excellent or very good SRH focused on feeling well.

CONCLUSIONS

Patients' and physicians' beliefs about patient health frequently lack agreement, confirming the need for shared decision making with patients.

Connecting PHRs and EHRs for a Sustainable National Health System

An EHR for integrated care (IEHR) is defined by the International Organization for Standardization (ISO) [1]: "…a repository of information regarding the health status of a subject of care, in computer processable form, stored and transmitted securely, and accessible by multiple authorised users, having a standardized or commonly agreed logical information model that is independent of EHR systems and whose primary purpose is the support of continuing, efficient and quality integrated health care. It contains information which is retrospective, concurrent and prospective." We need to differentiate between EMR/EHR and the lifelong PHR in terms of type of data storage, sharing and use [2-3].

Disseminating a Standard for Medical Records in Emergency Departments Among Different Software Vendors Using HL7 CDA

A standardized medical record for the emergency department (GEDMR) was released in Germany, but only sparsely and randomly implemented by emergency department (ED) electronic health record (EHR) vendors. A reason for this may be a lacking common language between the medical and the Health Information Technology (HIT) domain. HL7 clinical document architecture (CDA) may leverage this communication gap. This paper reports on the effects of a professional medical association record standard on EHR vendors and the German ED-EHR market. Standard records and data standards are developed and published by different institutions either on governmental, healthcare agency or medical association level. There are some standard records, especially by US cardiology associations, transformed into HL7 C-CDA. GEDMR was modeled as HL7 CDA with the use of interoperable terminologies like LOINC and SNOMED CT. Being part of an emergency department data registry development project, local deployment at 15 project hospitals receiving sufficient funding was performed. Two major ED-EHR vendors adapted GEDMR within their product including CDA export. 106,868 CDAs were produced in six hospitals until now. Four local implementations with four different ED-EHRs were developed, producing 42,256 CDAs. Five additional vendors are adapting or developing an ED-EHR. The GEDMR-CDA implementation guide with funding for implementation in project hospitals had a significant impact on the German ED-EHR market. Within two years after release, a broadening and increasingly self-enforcing support by German ED-EHR vendors is notable.

Automatic Loading of Problems Using a Comorbidities Subset: One Step to Organize and Maintain the Patient's Problem List

An accurate and updated problems' list is critical in a problem-oriented Electronic Health Record (EHR). The lack of organization and maintenance of the problems limits its value. Certain problems have a larger effect on the clinical evolution of the patient, these are known as Comorbidities. The aim of this paper is to evaluate the impact of the automatic loading of comorbidities in the organization and maintenance of inpatient problems' list using a comorbidities subset.

Prevalence and Contents of Advance Directives of Patients with ESRD Receiving Dialysis

BACKGROUND AND OBJECTIVES

ESRD requiring dialysis is associated with increased morbidity and mortality rates, including increased rates of cognitive impairment, compared with the general population. About one quarter of patients receiving dialysis choose to discontinue dialysis at the end of life. Advance directives are intended to give providers and surrogates instruction on managing medical decision making, including end of life situations. The prevalence of advance directives is low among patients receiving dialysis. Little is known about the contents of advance directives among these patients with advance directives.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

We retrospectively reviewed the medical records of all patients receiving maintenance in-center hemodialysis at a tertiary academic medical center between January 1, 2007 and January 1, 2012. We collected demographic data, the prevalence of advance directives, and a content analysis of these advance directives. We specifically examined the advance directives for instructions on management of interventions at end of life, including dialysis.

RESULTS

Among 808 patients (mean age of 68.6 years old; men =61.2%), 49% had advance directives, of which only 10.6% mentioned dialysis and only 3% specifically addressed dialysis management at end of life. Patients who had advance directives were more likely to be older (74.5 versus 65.4 years old; P<0.001) and have died during the study period (64.4% versus 46.6%; P<0.001) than patients who did not have advance directives. Notably, for patients receiving dialysis who had advance directives, more of the advance directives addressed cardiopulmonary resuscitation (44.2%), mechanical ventilation (37.1%), artificial nutrition and hydration (34.3%), and pain management (43.4%) than dialysis (10.6%).

CONCLUSIONS

Although one-half of the patients receiving dialysis in our study had advance directives, end of life management of dialysis was rarely addressed. Future research should focus on improving discernment and documentation of end of life values, goals, and preferences, such as dialysis-specific advance directives, among these patients.

[Future Perspective of Pharmacoepidemiology in the "Big Data Era" and the Growth of Information Sources]

The arrival of new drug into the market requires many years of previous research along with the need of continuous evaluation throughout the lifetime of the drug. This warrants pharmacoepidemiological research which may be defined as the study of the use and the effects of drugs in large populations. Nowadays this type of research seems more feasible thanks to the massive expansion of the information sources and data (e.g: clinical patient registries, electronic medical records). However there is a risk of information overload, fragmented evidence and given the enthusiasm aroused by the "Big Data", it must be emphasized that its nature is mainly observational, and therefore subject to bias and confusion. The application of epidemiological methods in this scenario seems essential for any analysis. In short, the management and use of these data sources to generate useful information expansion is the next challenge for the application of research methods in modern pharmacoepidemiology.

Comparison of Medical Diagnoses among Same-Sex and Opposite-Sex-Partnered Patients

BACKGROUND

Health disparities for gay and lesbian individuals are well documented in survey research. However, a limitation throughout the existing literature is the reliance on self-reported health conditions. This study used medical record diagnoses for gay and lesbian patients seen in primary care clinics.

METHODS

This study used medical records of primary care patients (n = 31,569) seen at Midwestern, university-affiliated primary care clinics. First, all records with information about the sexual partnering of the patient were identified (n = 13,509). Then, opposite-sex-partnered and same-sex-partnered (SSP) patients were compared for prevalence of common chronic conditions and clinic utilization.

RESULTS

Only 44.20% of medical records included information about patients' sexual partners. Both male and female SSP patients were more likely to be lower socioeconomic status, be a current or former smoker, and be diagnosed with substance abuse/dependence and depression.

CONCLUSIONS

The findings suggest the need for more consistent screening of the sexual partnering of patients for identifying patients who are at greater risk of poorer health outcomes. However, identifying the sexual partnering of patients may not occur systematically in primary care, and there may be a lack of disclosure by SSP patients to their physicians given the social stigma about same-sex relationships.

Variation in Patients' Awareness of CKD according to How They Are Asked

BACKGROUND AND OBJECTIVES

Awareness of CKD is necessary for patient engagement and adherence to medical regimens. Having an accurate tool to assess awareness is important. Use of the National Health and Nutrition Examination Survey (NHANES) CKD awareness question "Have you ever been told by a doctor or other health professional that you had weak or failing kidneys (excluding kidney stones, bladder infections, or incontinence)?" produces surprisingly low measures of CKD awareness. We sought to compare the sensitivity and specificity of different questions ascertaining awareness of CKD and other health conditions.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

Between August of 2011 and August of 2014, an in-person questionnaire was administered to 220 adults with CKD, diabetes, hypertension, or hyperlipidemia who received primary care in a public health care delivery system to ascertain awareness of each condition. CKD awareness was measured using the NHANES question, and other questions, asking if patients knew about their "kidney disease", "protein in the urine", "kidney problem", or "kidney damage." Demographic data were self-reported; health literacy was measured. The sensitivity and specificity of each question was calculated using the medical record as the gold standard.

RESULTS

In this diverse population (9.6% white, 40.6% black, 36.5% Hispanic, 12.3% Asian), the mean age was 58 years, 30% had a non-English language preference, and 45% had low health literacy. Eighty percent of participants had CKD, with a mean eGFR of 47.2 ml/min per 1.73 m(2). The sensitivities of each CKD awareness question were: 26.4% for "kidney damage", 27.7% for "kidney disease", 33.2% for "weak or failing kidneys", 39.8% for "protein in the urine", and 40.1% for "kidney problem." Specificities ranged from 82.2% to 97.6%. The best two-question combination yielded a sensitivity of 53.1% and a specificity of 83.3%. This was lower than awareness of hypertension (90.1%) or diabetes (91.8%).

CONCLUSIONS

CKD awareness is low compared with other chronic diseases regardless of how it is ascertained. Nevertheless, more sensitive questions to ascertain CKD awareness suggest current under-ascertainment.

New journals for publishing medical case reports

Because they do not rank highly in the hierarchy of evidence and are not frequently cited, case reports describing the clinical circumstances of single patients are seldom published by medical journals. However, many clinicians argue that case reports have significant educational value, advance medical knowledge, and complement evidence-based medicine. Over the last several years, a vast number (∼160) of new peer-reviewed journals have emerged that focus on publishing case reports. These journals are typically open access and have relatively high acceptance rates. However, approximately half of the publishers of case reports journals engage in questionable or "predatory" publishing practices. Authors of case reports may benefit from greater awareness of these new publication venues as well as an ability to discriminate between reputable and non-reputable journal publishers.

Correlates of Stillbirths at Nyeri Provincial General Hospital, Kenya, 2009-2013: A Retrospective Study

BACKGROUND

Death of a baby in-utero is a very devastating event to the mother and the family. Most stillbirths occur during labor and birth with other deaths occurring during the antenatal period. Millions of families experience stillbirths, yet these deaths remain uncounted, and policies have not been clearly stipulated to address this issue. The aim of the study was to identify the possible causes of stillbirths as recorded in the medical records.

METHODS

A retrospective study looking at medical records of women who experienced stillbirths between 1(st) January 2009 and 31(st) December 2013 at Nyeri Provincial General Hospital, Kenya. The hospital records containing cases of stillbirths were retrieved and data abstraction forms were used to collect data and information.

RESULTS

Both fresh and macerated stillbirths were equally common. The stillbirth rate was 12.2 per 1,000 births. There was significant association between stillbirths and the clients who were referred and reason for referral, (p=0.029) and (p=0.005), respectively. The number of ANC visits during pregnancy was also significant (p=0.05). Mode of delivery and the reason for cesarean section were significantly associated with stillbirths, (p=0.003) and (p=0.032), respectively. The type of labor and delivery complications experienced was associated with stillbirths (p= 0.022).

CONCLUSION AND GLOBAL HEALTH IMPLICATIONS

There were several factors associated with stillbirths thus efforts should be made to establish approaches aimed at prevention. Addressing the causes of stillbirths will contribute to reduction of perinatal mortality.

Recording Non Communicable Chronic Diseases at Risk Behaviours in General Practice. A qualitative study using the PRECEDE-PROCEED Model

OBJECTIVE

Full, accurate registration of behavioral risk factors in patients is essential for good quality preventive action in General Practice. In addition, the GP's records are useful for epidemiological surveillance of risk behavior and assessment of preventive actions in the community and also for the accurate Case Management in the Continuity of Care perspective. Up to date, very little research has been carried out in Italy in this area.

METHODS

The PRECEDE-PROCEED model was used to analyze data of a semi-structured interview of purposively selected Italian GPs. PRECEDE, the diagnostic component of the model, was used to highlight factors that affected their recording of behavioral risk lifestyles. The PRECEDE framework distinguishes three categories of factors influencing behavior: Predisposing (wanting to do), Reinforcing Factors (rewards for doing) and Enabling Factors (being able to do) 2.

RESULTS

The Predisposing Factors were identified as the GPs' positive attitude to writing up structured, systematic records of patient data and the low attitude towards registration of the behavioural risk factors with respect to clinical data. Enabling Factors were: the high load of paperwork; the requirement for quantitative registration of certain factors; the software information structure which limited recording of some risk behaviors. Reinforcing Factors were the GPs perception that patients were reluctant to providing data on their behavior and that they as GPs did not have enough incentives for this work; current local epidemiology selectively focused physicians' attention on recording behaviours related to prevalent diseases.

CONCLUSIONS

It has been possible to identify ways to improve the quality of GPs records of behavioral risk factors in patients: 1)equipping computer systems with detection procedures to guide GP recordings : 2) training to improve the GP's awareness and attitude and 3) incentives that are not only financial but also linked to professional development.

Performance improvement indicators of the Medical Records Department and Information Technology (IT) in hospitals

Medical Record Department (MRD) has a vital role in making short and long term plans to improve health system services. The aim of this study was to describe performance improvement indicators of hospital MRD and information technology (IT).

Challenges and practical approaches with word sense disambiguation of acronyms and abbreviations in the clinical domain

Objectives

Although acronyms and abbreviations in clinical text are used widely on a daily basis, relatively little research has focused upon word sense disambiguation (WSD) of acronyms and abbreviations in the healthcare domain. Since clinical notes have distinctive characteristics, it is unclear whether techniques effective for acronym and abbreviation WSD from biomedical literature are sufficient.

Methods

The authors discuss feature selection for automated techniques and challenges with WSD of acronyms and abbreviations in the clinical domain.

Results

There are significant challenges associated with the informal nature of clinical text, such as typographical errors and incomplete sentences; difficulty with insufficient clinical resources, such as clinical sense inventories; and obstacles with privacy and security for conducting research with clinical text. Although we anticipated that using sophisticated techniques, such as biomedical terminologies, semantic types, part-of-speech, and language modeling, would be needed for feature selection with automated machine learning approaches, we found instead that simple techniques, such as bag-of-words, were quite effective in many cases. Factors, such as majority sense prevalence and the degree of separateness between sense meanings, were also important considerations.

Conclusions

The first lesson is that a comprehensive understanding of the unique characteristics of clinical text is important for automatic acronym and abbreviation WSD. The second lesson learned is that investigators may find that using simple approaches is an effective starting point for these tasks. Finally, similar to other WSD tasks, an understanding of baseline majority sense rates and separateness between senses is important. Further studies and practical solutions are needed to better address these issues.

Electronic medical record systems are associated with appropriate placement of HIV patients on antiretroviral therapy in rural health facilities in Kenya: a retrospective pre-post study

BACKGROUND AND OBJECTIVE

There is little evidence that electronic medical record (EMR) use is associated with better compliance with clinical guidelines on initiation of antiretroviral therapy (ART) among ART-eligible HIV patients. We assessed the effect of transitioning from paper-based to an EMR-based system on appropriate placement on ART among eligible patients.

METHODS

We conducted a retrospective, pre-post EMR study among patients enrolled in HIV care and eligible for ART at 17 rural Kenyan clinics and compared the: (1) proportion of patients eligible for ART based on CD4 count or WHO staging who initiate therapy; (2) time from eligibility for ART to ART initiation; (3) time from ART initiation to first CD4 test.

RESULTS

7298 patients were eligible for ART; 54.8% (n=3998) were enrolled in HIV care using a paper-based system while 45.2% (n=3300) were enrolled after the implementation of the EMR. EMR was independently associated with a 22% increase in the odds of initiating ART among eligible patients (adjusted OR (aOR) 1.22, 95% CI 1.12 to 1.33). The proportion of ART-eligible patients not receiving ART was 20.3% and 15.1% for paper and EMR, respectively (χ(2)=33.5, p<0.01). Median time from ART eligibility to ART initiation was 29.1 days (IQR: 14.1-62.1) for paper compared to 27 days (IQR: 12.9-50.1) for EMR.

CONCLUSIONS

EMRs can improve quality of HIV care through appropriate placement of ART-eligible patients on treatment in resource limited settings. However, other non-EMR factors influence timely initiation of ART.

Documentation of pharmacotherapeutic interventions of pharmacy students

During patient care rounds with the medical team, pharmacy students have made positive contributions for the benefit of the patient. However, very little has been documented regarding the impact these future healthcare professionals are making while on clinical rotations. The objective of this study was to assess the impact that clinical interventions made by 6th year pharmacy students had on overall patient outcome. Using a special program for a personal digital assistant (PDA), the students daily recorded the pharmacotherapeutic interventions they made. The interventions ranged from dosage adjustments to providing drug information. Data was collected over a 12-week period from various hospitals and clinics in the Jacksonville, Florida area. In total, there were 89 pharmaceutical interventions performed and recorded by the students. Fifty interventions involved drug modification and fifty-four interventions were in regards to drug information and consulting. Of the drug information and consulting interventions, 15 were drug modification.

This study shows the impact pharmacy students make in identifying, recommending, and documenting clinical pharmacotherapeutic interventions. Similar to pharmacists, pharmacy students can also have a positive contribution towards patient care.

Eliciting comprehensive medication histories in the emergency department: the role of the pharmacist

The Australian Pharmaceutical Advisory Committee guidelines call for a detailed medication history to be taken at the first point of admission to hospital. Accurate medication histories are vital in optimising health outcomes and have been shown to reduce mortality rates. This study aimed to examine the accuracy of medication histories taken in the Emergency Department of the Royal Adelaide Hospital. Medication histories recorded by medical staff were compared to those elicited by a pharmacy researcher. The study, conducted over a six-week period, included 100 patients over the age of 70, who took five or more regular medications, had three or more clinical co-morbidities and/or had been discharged from hospital in three months prior to the study. Following patient interviews, the researcher contacted the patient's pharmacist and GP for confirmation and completion of the medication history. Out of the 1152 medications recorded as being used by the 100 patients, discrepancies were found for 966 medications (83.9%). There were 563 (48.9%) complete omissions of medications. The most common discrepancies were incomplete or omitted dosage and frequency information. Discrepancies were mostly medications that treated dermatological and ear, nose and throat disorders but approximately 29% were used to treat cardiovascular disorders. This study provides support for the presence of an Emergency Department pharmacist who can compile a comprehensive and accurate medication history to enhance medication management along the continuum of care. It is recommended that the patient's community pharmacy and GP be contacted for clarification and confirmation of the medication history.

Pharmacist elicited medication histories in the Emergency Department: Identifying patient groups at risk of medication misadventure

The Australian Pharmaceutical Advisory Committee guidelines call for a detailed medication history to be taken at the first point of admission to an Emergency Department (ED). The elderly, in particular those residing in Residential Aged Care Facilities and those with a non-English speaking background, have been identified as patient groups vulnerable to medication misadventure.

Lifelog agent for human activity pattern analysis on health avatar platform

Objectives

To provide accurate personalized medical care, it is necessary to gather individual-related data or contextual information regarding the target person. Nowadays a large number of people possess smartphones, which enables sensors in the smartphones to be used for lifelogging. The objective of the study is to analyze human activity pattern by using lifelog agent cooperating with the Health Avatar platform.

Methods

Using the lifelog measured by accelerometer and gyroscope in a smartphone at a 50 Hz rate, the agent reveals how long the user walks, runs, sits, stands, and lies down, and this information is summarized by hours. The summaries are sent to the Health Avatar platform and finally are written in the Continuity of Care Record (CCR) format.

Results

The lifelog agent is successfully operated with the Health Avatar platform. In addition, we implement an application that displays the user's activity patterns in a graph and calculates the metabolic equivalent of task based calorie burned by hour or by day using the lifelog of the CCR form to show that the lifelog can be used as medical records.

Conclusions

The agent shows how lifelogs are analyzed and summarized to help activity recognition. We believe that our agent demonstrates a way of incorporating lifelogs into medical care and a way of exploiting lifelogs in a medical format.

Assessment of Medical Records Module of Health Information System According to ISO 9241-10

INTRODUCTION

Hospital managers and personnel need to Hospital Information System (HIS) to increase the efficiency and effectiveness in their organization. Accurate, appropriate, precise, timely, valid information, and Suitable Information system for their tasks is required and the basis for decision making in various levels of the hospital management, since, this study was conducted to Assess of Selected HIS in Isfahan University of Medical Science Hospitals According to ISO 9241-10.

METHODS

This paper obtained from an applied, descriptive cross sectional study, in which the medical records module of IUMS selected HIS in Isfahan University of Medical Science affiliated seven hospitals were assessed with ISO 9241-10 questionnaire contained 7 principles and 74 items. The obtained data were analyzed with SPSS software and descriptive statistics were used to examine measures of central tendencies.

RESULTS

THE ANALYSIS OF DATA REVEALED THE FOLLOWING ABOUT THE SOFTWARE: Suitability for user tasks, self descriptiveness, controllability by user, Conformity with user expectations, error tolerance, suitability for individualization, and suitability for user learning, respectively, was 68, 67, 70, 74, 69, 53, and 68 percent. Total compliance with ISO 9241-10 was 67 percent.

CONCLUSION

Information is the basis for policy and decision making in various levels of the hospital management. Consequently, it seems that HIS developers should decrease HIS errors and increase its suitability for tasks, self descriptiveness, controllability, conformity with user expectations, error tolerance, suitability for individualization, suitability for user learning.

Eventual situations for timeline extraction from clinical reports

OBJECTIVE

To identify the temporal relations between clinical events and temporal expressions in clinical reports, as defined in the i2b2/VA 2012 challenge.

DESIGN

To detect clinical events, we used rules and Conditional Random Fields. We built Random Forest models to identify event modality and polarity. To identify temporal expressions we built on the HeidelTime system. To detect temporal relations, we systematically studied their breakdown into distinct situations; we designed an oracle method to determine the most prominent situations and the most suitable associated classifiers, and combined their results.

RESULTS

We achieved F-measures of 0.8307 for event identification, based on rules, and 0.8385 for temporal expression identification. In the temporal relation task, we identified nine main situations in three groups, experimentally confirming shared intuitions: within-sentence relations, section-related time, and across-sentence relations. Logistic regression and Naïve Bayes performed best on the first and third groups, and decision trees on the second. We reached a 0.6231 global F-measure, improving by 7.5 points our official submission.

CONCLUSIONS

Carefully hand-crafted rules obtained good results for the detection of events and temporal expressions, while a combination of classifiers improved temporal link prediction. The characterization of the oracle recall of situations allowed us to point at directions where further work would be most useful for temporal relation detection: within-sentence relations and linking History of Present Illness events to the admission date. We suggest that the systematic situation breakdown proposed in this paper could also help improve other systems addressing this task.