scholarly journals Medical Assistant Chat-Bot for Health Care Application

2019 ◽  
pp. 312-318
Author(s):  
J Pamina ◽  
Ajeykanth S ◽  
Arjun P ◽  
Jitthesh Krishna T
Keyword(s):  
Health Care ◽  
Health Condition ◽  
Sensor Data ◽  
Medical Assistant ◽  
Voice Input ◽  
Healthcare Data ◽  
Modern Health Care ◽  
Device Integration ◽  
Chat Bot ◽  
Health Care Application

IoT revolution is re-designing modern health care with high technological, economic, and social prospects. Artificial intelligence (AI) aims to substitute human cognitive functions. It gives a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. The internet of things has lots of applications in healthcare, from remote monitoring to smart sensors and medical device integration. It has the ability to not only keep patients safe and healthy but to improve how physicians deliver care as well. Healthcare IoT can also boost patient engagement and satisfaction by allowing patients to spend more time interacting with their doctors. With the combination of both IoT & AI technologies, it can apply chatbots for medical assistance in healthcare. An IoT based monitoring system & AI based analytics system with an interactive chat-robots is the more outstanding application in healthcare. The Medical Assistant recognizes the user voice input and converts the speech into text. Here we concentrate on the different type of fevers, like chickenpox, malaria, septicemia, viral fever etc. Each fever has different symptoms .we finalize the fever by using symptoms. After that text mining, those phrases would be split as a noun and medical terms. From term analysis, the assistant will answer the query from users. It also analyzes the sensor data (body temp, heartbeat) from the cloud and expresses the user health condition.

ETHNOVETERINARY MEDICINAL USES OF SOME MEDICINAL PLANTS ON PNEUMONIA BY THE GUJJAR AND PAHARI TRIBES OF POONCH DISTRICT OF JAMMU AND KASHMIR

2017 ◽  
Vol 23 (2) ◽  
Author(s):  
JAMIL AHMED KHAN ◽  
RAJINDER PAUL
Keyword(s):  
Health Care ◽  
Medicinal Plants ◽  
Medicinal Plant ◽  
Natural Resources ◽  
Indigenous People ◽  
Health Care Facilities ◽  
Jammu And Kashmir ◽  
Medicinal Uses ◽  
Modern Health Care ◽  
Care Facilities

Poonch district of Jammu and Kashmir is a reservoir of enormous natural resources including the wealth of medicinal plants. The present paper deals with 12 medicinal plant species belonging to 8 genera of angiosperms used on pneumonia in cattle such as cows, sheep, goats and buffaloes in different areas of Poonch district. Due to poverty and nonavailability of modern health care facilities, the indigenous people of the area partially or fully depend on surrounding medicinal plants to cure the different ailments of their cattles. Further research on modern scientific line is necessary to improve their efficacy, safety and validation of the traditional knowledge.

Impact of Religion on Traditional Health Care Practices Among the Lepchas of Upper and Lower Lingthem of Upper Dzongu, Sikkim, India

2021 ◽  
pp. 2455328X2199571
Author(s):  
Manisha Thapa ◽  
Pinak Tarafdar
Keyword(s):  
Health Care ◽  
Cultural Practices ◽  
Traditional Health ◽  
Health Care Practices ◽  
Modern Health Care ◽  
Concept Of Health ◽  
Traditional Health Care ◽  
Primary Means ◽  
Care Practices ◽  
The Village

In all cultures and regions, the concept of health varies, based on the type of environment and prevalent sociocultural traditions. The present study is conducted among the Lepchas of the village of Lingthem divided into two sectors—Upper and Lower Lingthem, Upper Dzongu, North Sikkim. This population comprising Buddhist Lepchas residing away from the mainstream through poor infrastructural facilities still maintain ethnomedical health care practices without influence of major Indian healing systems. Living in the area of Dzongu exclusively inhabited by Lepchas revival of ancient cultural practices is evident among Lepchas of Lingthem. The structure of religious beliefs prevalent among the Lepchas, including traditional animistic as well as Buddhist practices, greatly influence forms of treatment sought for specific ailments. Even today, the use and maintenance of traditional health care with syncretized Buddhist religious belief among residents of Lingthem act as a vital source for understanding the influence of religion on traditional health care practices. Despite the presence of a few modern health care agencies, the traditional treatment of Bongthing (Lepcha shaman) and Buddhist monks remain widely popular as primary means of health care.

scholarly journals Self-reported suboptimal sleep and receipt of sleep assessment and treatment among persons with and without a mental health condition in Australia: a cross sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alexandra P. Metse ◽  
Caitlin Fehily ◽  
Tara Clinton-McHarg ◽  
Olivia Wynne ◽  
Sharon Lawn ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Physical Health ◽  
Health Condition ◽  
Community Dwelling ◽  
Mental Health Condition ◽  
Cross Sectional ◽  
Sleep Assessment ◽  
Assessment And Treatment ◽  
Sleep Parameters

Abstract Background Poor sleep and poor mental health go hand in hand and, together, can have an adverse impact on physical health. Given the already disproportionate physical health inequities experienced by people with a mental health condition worldwide, the need to consider and optimise sleep has been highlighted as a means of improving both physical and mental health status. Sleep recommendations recently developed by the United States’ National Sleep Foundation incorporate a range of sleep parameters and enable the identification of ‘suboptimal’ sleep. Among community-dwelling persons with and without a 12-month mental health condition in Australia, this study reports: [1] the prevalence of ‘suboptimal’ sleep and [2] rates of sleep assessment by a health care clinician/service and receipt of and desire for sleep treatment. Methods A descriptive study (N = 1265) was undertaken using self-report data derived from a cross-sectional telephone survey of Australian adults, undertaken in 2017. Results Fifteen per cent (n = 184) of participants identified as having a mental health condition in the past 12 months. Across most (7 of 8) sleep parameters, the prevalence of suboptimal sleep was higher among people with a mental health condition, compared to those without (all p < 0.05). The highest prevalence of suboptimal sleep for both groups was seen on measures of sleep duration (36–39% and 17–20% for people with and without a mental health condition, respectively). In terms of sleep assessment and treatment, people with a mental health condition were significantly more likely to: desire treatment (37% versus 16%), have been assessed (38% versus 12%) and have received treatment (30% versus 7%). Conclusions The prevalence of suboptimal sleep among persons with a mental health condition in Australia is significantly higher than those without such a condition, and rates of assessment and treatment are low for both groups, but higher for people with a mental health condition. Population health interventions, including those delivered as part of routine health care, addressing suboptimal sleep are needed.

scholarly journals Health status and health care utilization after discharge from geriatric in-hospital stay – description of a register-based study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
E. Rydwik ◽  
R. Lindqvist ◽  
C. Willers ◽  
L. Carlsson ◽  
G. H. Nilsson ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Health Status ◽  
Health Care Utilization ◽  
Care Utilization ◽  
Future Studies ◽  
Healthcare Data ◽  
Utilization Data ◽  
Hospital Stays ◽  
Socioeconomic Data

Abstract Background This study is the first part of a register-based research program with the overall aim to increase the knowledge of the health status among geriatric patients and to identify risk factors for readmission in this population. The aim of this study was two-fold: 1) to evaluate the validity of the study cohorts in terms of health care utilization in relation to regional cohorts; 2) to describe the study cohorts in terms of health status and health care utilization after discharge. Methods The project consist of two cohorts with data from patient records of geriatric in-hospital stays, health care utilization data from Stockholm Regional Healthcare Data Warehouse 6 months after discharge, socioeconomic data from Statistics Sweden. The 2012 cohort include 6710 patients and the 2016 cohort, 8091 patients; 64% are women, mean age is 84 (SD 8). Results Mean days to first visit in primary care was 12 (23) and 10 (19) in the 2012 and 2016 cohort, respectively. Readmissions to hospital was 38% in 2012 and 39% in 2016. The validity of the study cohorts was evaluated by comparing them with regional cohorts. The study cohorts were comparable in most cases but there were some significant differences between the study cohorts and the regional cohorts, especially regarding amount and type of primary care. Conclusion The study cohorts seem valid in terms of health care utilization compared to the regional cohorts regarding hospital care, but less so regarding primary care. This will be considered in the analyses and when interpreting data in future studies based on these study cohorts. Future studies will explore factors associated with health status and re-admissions in a population with multi-morbidity and disability.

scholarly journals Development of a Natural Language Processing Algorithm to Identify and Evaluate Transgender Patients in Electronic Health Record System

2019 ◽  
Vol 29 (Supp2) ◽  
pp. 441-450 ◽  
Author(s):  
Jesse M. Ehrenfeld ◽  
Keanan Gabriel Gottlieb ◽  
Lauren Brittany Beach ◽  
Shelby E. Monahan ◽  
Daniel Fabbri
Keyword(s):  
Health Care ◽  
Natural Language ◽  
Language Processing ◽  
Health Care Services ◽  
False Positive Rate ◽  
Health Condition ◽  
Record System ◽  
Care Services ◽  
Electronic Health ◽  
Hormone Use

Objective: To create a natural language pro­cessing (NLP) algorithm to identify transgen­der patients in electronic health records.Design: We developed an NLP algorithm to identify patients (keyword + billing codes). Patients were manually reviewed, and their health care services categorized by billing code.Setting: Vanderbilt University Medical CenterParticipants: 234 adult and pediatric trans­gender patientsMain Outcome Measures: Number of transgender patients correctly identified and categorization of health services utilized.Results: We identified 234 transgender pa­tients of whom 50% had a diagnosed men­tal health condition, 14% were living with HIV, and 7% had diabetes. Largely driven by hormone use, nearly half of patients attended the Endocrinology/Diabetes/Me­tabolism clinic. Many patients also attended the Psychiatry, HIV, and/or Obstetrics/Gyne­cology clinics. The false positive rate of our algorithm was 3%.Conclusions: Our novel algorithm correctly identified transgender patients and provided important insights into health care utiliza­tion among this marginalized population. Ethn Dis. 2019;29(Suppl 2): 441-450. doi:10.18865/ed.29.S2.441

scholarly journals Health Seeking Behaviour and Associated Factors among Pulmonary Tuberculosis Suspects in Lay Armachiho District, Northwest Ethiopia: A Community-Based Study

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Eshetu Haileselassie Engeda ◽  
Berihun Assefa Dachew ◽  
Hiwot Kassa Woreta ◽  
Mengistu Mekonnen Kelkay ◽  
Tesfaye Demeke Ashenafie
Keyword(s):  
Health Care ◽  
Pulmonary Tuberculosis ◽  
Previous History ◽  
Care Facility ◽  
Health Care Facility ◽  
Northwest Ethiopia ◽  
Care Seeking ◽  
Health Seeking ◽  
Community Based ◽  
Modern Health Care

Studies in the northern part of Ethiopia showed high prevalence of undiagnosed cluster of tuberculosis cases within the community which demanded an investigation of the health care seeking behaviour of tuberculosis suspects. A community-based cross-sectional study was conducted in Lay Armachiho district, Northwest Ethiopia. Individuals who had cough for at least two weeks and aged greater than or equal to 15 years were included in the study. Data were collected by interview using pretested and structured questionnaire. Logistic regression was computed and adjusted odds ratio with 95% confidence interval was calculated. Out of the total population surveyed (29, 735), 663 (2.2%) individuals were found to be pulmonary tuberculosis suspects. Majority of the suspects reported that they had visited a modern health care facility. Those aged 15 to 34 and aged 35–54 had secondary educational level and above; those who were civil servants, those who were farmers, those who had previous history of tuberculosis treatment, and those who perceived that they were sick were more likely to visit a modern health care facility. The proportion of respondents who had taken traditional measures was found to be higher than some other districts. Improving the socioeconomic status of the community is recommended.

Accountability for Rationing — Theory into Practice

2005 ◽  
Vol 33 (4) ◽  
pp. 660-668 ◽  
Author(s):  
Christopher Newdick
Keyword(s):  
Health Care ◽  
National Health Service ◽  
Health Service ◽  
National Health ◽  
Health Care Systems ◽  
The Public ◽  
Modern Health Care ◽  
Concept Of Health ◽  
Care Systems ◽  
Health Need

Most now recognize the inevitability of rationing in modern health care systems. The elastic nature of the concept of “health need,” our natural human sympathy for those in distress, the increased range of conditions for which treatment is available, the “greying” of the population; all expand demand for care in ways that exceed the supply of resources to provide it. UK governments, however, have found this truth difficult to present and have not encouraged open and candid public debate about choices in health care. Indeed, successive governments have presented the opposite view, that “if you are ill or injured there will be a national health service there to help; and access to it will be based on need and need alone.” And they have been rightly criticized for misleading the public and then blaming clinical and managerial staffin the National Health Service (NHS) when expectations have been disappointed.

Revising the ERDs for the 21st Century

2021 ◽  
Vol 46 (8) ◽  
pp. 1-2
Author(s):  
John F. Brehany ◽  
Keyword(s):  
United States ◽  
Health Care ◽  
21St Century ◽  
Health Care Services ◽  
Care Delivery ◽  
The United States ◽  
Care Services ◽  
Moral Tradition ◽  
Modern Health Care ◽  
Catholic Health Care

Since their inception in 1948, The Ethical and Religious Directives for Catholic Health Care Services (ERDs) have guided Catholic health care ministries in the United States, aiding in the application of Catholic moral tradition to modern health care delivery. The ERDs have undergone two major revisions in that time, with about twenty years separating each revision. The first came in 1971 and the second came twenty-six years ago, in 1995. As such, a third major revision is due and will likely be undertaken soon.

A review on Privacy-Preserving Data Preprocessing

2020 ◽  
pp. 16-30
Author(s):  
Mukesh Soni ◽  
◽  
◽  
◽  
YashKumar Barot ◽  
...  
Keyword(s):  
Health Care ◽  
Information Security ◽  
Social Insurance ◽  
Disease Outbreaks ◽  
Security And Privacy ◽  
Health Care Information ◽  
Privacy And Security ◽  
Healthcare Data ◽  
Security Issues ◽  
Care Information

Health care information has great potential for improving the health care system and also providing fast and accurate outcomes for patients, predicting disease outbreaks, gaining valuable information for prediction in future, preventing such diseases, reducing healthcare costs, and improving overall health. In any case, deciding the genuine utilization of information while saving the patient's identity protection is an overwhelming task. Regardless of the amount of medical data it can help advance clinical science and it is essential to the accomplishment of all medicinal services associations, at the end information security is vital. To guarantee safe and solid information security and cloud-based conditions, It is critical to consider the constraints of existing arrangements and systems for the social insurance of information security and assurance. Here we talk about the security and privacy challenges of high-quality important data as it is used mainly by the healthcare structure and similar industry to examine how privacy and security issues occur when there is a large amount of healthcare information to protect from all possible threats. We will discuss ways that these can be addressed. The main focus will be on recently analyzed and optimized methods based on anonymity and encryption, and we will compare their strengths and limitations, and this chapter closes at last the privacy and security recommendations for best practices for privacy of preprocessing healthcare data.

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