PDAs Research Articles

Health-related quality of life variation by socioeconomic status: Evidence from an Iranian population-based study.

Health-Related Quality of Life (HRQoL) values based on the accurate and reliable European Quality of Life Five Dimension (EQ-5D) questionnaire gives health-state utilities as a helpful data set for studying socio-demographic and socio-economic inequalities in health status in the general population. We aimed to do a population-based study to see how HRQoL varies by socio-demographics and socioeconomic status (SES). The study was a cross-sectional population-based study in Shiraz, Iran's southwest. Data was gathered utilizing a personal digital assistant (PDA). A trained interviewer administered the EQ-5D questionnaire to a representative sample of 1036 inhabitants. Principal component analysis (PCA) was used to create SES indices. Because of the skewed distribution, quantile regression was utilized to model the quartiles of HRQoL values. STATA 12.0 was used to perform all statistical analyses. P <0.05 was considered statistically significant. In 1036 study respondents, women had a mean HRQoL of 0.67 ± 0.28, whereas men had a mean HRQoL of 0.78 ± 0.25. Gender and age remained significant in all quartiles of HRQoL value. Participants with insurance showed 0.14 and 0.08 higher HRQoL values in the first and second HRQoL quartiles than those without coverage, respectively. Education [95% CI: 0.034, 0.111)], economy [95% CI: 0.013, 0.077], and assets [95% CI: 0.003, 0.069] all had an impact on HRQoL value in the lowest quintile. In all quartiles of HRQoL value, women had lower reported HRQoL than men. Insurance programs aimed at more disadvantaged groups with poorer HRQoL may help to minimize inequity. Education, economics, and assets all had an impact on the lower quartiles of HRQoL value, emphasizing the importance of general policies in determining public health status.

INCOG 2.0 Guidelines for Cognitive Rehabilitation Following Traumatic Brain Injury, Part V: Memory.

Memory impairments affecting encoding, acquisition, and retrieval of information after moderate-to-severe traumatic brain injury (TBI) have debilitating and enduring functional consequences. The interventional research reviewed primarily focused on mild to severe memory impairments in episodic and prospective memory. As memory is a common focus of cognitive rehabilitation, clinicians should understand and use the latest evidence. Therefore, the INCOG ("International Cognitive") 2014 clinical practice guidelines were updated. An expert panel of clinicians/researchers reviewed evidence published since 2014 and developed updated recommendations for intervention for memory impairments post-TBI, a decision-making algorithm, and an audit tool for review of clinical practice. The interventional research approaches for episodic and prospective memory from 2014 are synthesized into 8 recommendations (6 updated and 2 new). Six recommendations are based on level A evidence and 2 on level B. In summary, they include the efficacy of choosing individual or multiple internal compensatory strategies, which can be delivered in a structured or individualized program. Of the external compensatory strategies, which should be the primary strategy for severe memory impairment, electronic reminder systems such as smartphone technology are preferred, with technological advances increasing their viability over traditional systems. Furthermore, microprompting personal digital assistant technology is recommended to cue completion of complex tasks. Memory strategies should be taught using instruction that considers the individual's functional and contextual needs while constraining errors. Memory rehabilitation programs can be delivered in an individualized or mixed format using group instruction. Computer cognitive training should be conducted with therapist guidance. Limited evidence exists to suggest that acetylcholinesterase inhibitors improve memory, so trials should include measures to assess impact. The use of transcranial direct current stimulation (tDCS) is not recommended for memory rehabilitation. These recommendations for memory rehabilitation post-TBI reflect the current evidence and highlight the limitations of group instruction with heterogeneous populations of TBI. Further research is needed on the role of medications and tDCS to enhance memory.

Farmers Perception of Access and Use of Modern Information Communication Technologies in Enhancing Smallholder Tea Production in Kakamega County, Kenya

The smallholder tea sector in Kenya forms the second-largest agricultural exporter after horticulture, contributing 4 percent to the Gross Domestic Product (GDP). Modern communication technologies (MCTS) are key in supporting production, processing and marketing across the tea sector value chain. Despite the availability of all these technologies, their access and use by smallholder tea farmers for production and tea auction price monitoring are still minimal. Further, farmers’ perception of access and use of modern communication technologies is not well known. The objective of this study was to evaluate smallholder farmers’ perceptions on access and use of modern communication technologies in enhancing tea production in Shinyalu subcounty.The study was anchored on diffusion of innovation that emphasizes on the five attributes of an innovation. The study evaluated the farmers’ perception of access and use of MCTs. The study adopted a descriptive research design where fisher’s formula was used to get 162 out of 1,600 smallholder tea farmers who were systematically sampled and interviewed. Data were collected using semi-structured questionnaires. Likert perception test scale was also used test perception statements. The data was cleaned and analyzed in form of frequencies and percentages and chi-square The results established that majority of the tea farmers (36%) had acquired basic literacy levels of education to use modern technologies in tea production. It also established that modern technologies such as smartcard technology 78%, mobile phone text messages 62% and personal digital assistants 61% were the most essential tools for enhancing access to farm inputs, market information and tea management information. However, extension agents 61% played a complementary role in unpacking and linking modern tea technologies from the source to farmers. A positive association was revealed between farmers’ literacy level and the use of MCTs, which influenced access to MCT. The study, recommended re-tooling agricultural information dissemination agents and farmers on the existing MCT to enhance effective communication, promoting tea production yields and accessing market information.

DEVELOPMENT OF INDONESIAN CAKE DIGITAL BOOK BASED ON LOCAL WISDOM FOR CULINARY EDUCATION STUDENTS

Digital books or commonly called E-Books which stands for Electronic Books are paperless books, where e-books are easily accessible through Personal Digital Assistants (PDAs) or special bags made by information technology companies. This study uses a research and development (R&amp;D) approach which is then adapted to the needs of researchers which includes six stages, namely (1) preliminary survey; (2) preparation of electronic teaching materials using the Kvisoft Flipbook Maker application, product design; (4) design validation;(5) design improvement; and (6) description of research results. The purpose of this research is to develop a digital book of Indonesian cakes based on local wisdom for culinary education students. Data collection techniques used expert validation questionnaires and small-scale trials. The results of the development of the textbook show that the average validation and test results are in the appropriate category for use with good predicates according to the table of eligibility criteria and product revisions.

RSLSP: An Effective Recovery Scheme for Flash Memory Leveraging Shadow Paging

The flash storage is a non-volatile semiconductor device that is constantly powered and has several advantages such as small size, lower power consumption, fast access, convenient portability, heat dissipation, shock resistance, data retention next to a power off, and random access. Flash memory is presently being incorporated with distinct embedded system devices such as with digital cameras, smart phones, personal digital assistants (PDA), and sensor devices. Nevertheless, a flash memory entails special features such as “erase-before-write” and “wear-leveling”, an FTL (flash translation layer) upon the software layer should be included. Although, the power off recovery plays a significant role in portable devices, most FTL algorithms did not consider the power off recovery scheme. In this paper, we proposed an effective scheme for the recovery of flash memory leveraging the shadow paging concept for storage devices using flash memory. To combat the sudden power off problem, the suggested RSLSP approach saves and keeps the map block data as a combination of two tables, i.e., first is the original block and the second block is a replica for the original one. Our proposed strategy not only improves the capacity of a flash memory device as compared to the state-of-the-art schemes suggested in the literature, but is also compatible with the existing FTL-based schemes.

Guidelines to Establish an Equitable Mobile Health Ecosystem.

Mobile health (mHealth)-that is, use of mobile devices, such as mobile phones, monitoring devices, personal digital assistants, and other wireless devices, in medical care-is a promising approach to the provision of support services. mHealth may aid in facilitating monitoring of mental health conditions, offering peer support, providing psychoeducation (i.e., information about mental health conditions), and delivering evidence-based practices. However, some groups may fail to benefit from mHealth despite a high need for mental health services, including people from racially and ethnically disadvantaged groups, rural residents, individuals who are socioeconomically disadvantaged, and people with disabilities. A well-designed mHealth ecosystem that considers multiple elements of design, development, and implementation can afford disadvantaged populations the opportunity to address inequities and facilitate access to and uptake of mHealth. This article proposes inclusion of the following principles and standards in the development of an mHealth ecosystem of equity: use a human-centered design, reduce bias in machine-learning analytical techniques, promote inclusivity via mHealth design features, facilitate informed decision making in technology selection, embrace adaptive technology, promote digital literacy through mHealth by teaching patients how to use the technology, and facilitate access to mHealth to improve health outcomes.

Impact of Electronic Banking Transactions on the Volume of Trade of Commercial Banks in Kenya

Purpose: Electronic banking is a mechanism that enables a financial institution's clients to conduct a number of financial transactions via an electronic device such as a cell phone or a personal digital assistant. Electronic banking refers to the provision of banking and financial services through electronic devices over a network. Commercial banks have been at the forefront of embracing and assimilating electronic fund transfer technology into their core tasks in order to achieve competitive advantages and manage their overhead operating costs. The purpose of this study was to determine the impact of electronic banking transactions on the volume of trade of commercial banks in Kenya. The research was guided by the following specific objectives: To determine the impact of mobile banking transactions on the volume of trade of commercial banks in Kenya; To determine the impact of Automated teller Machines transactions on the volume of trade of commercial banks in Kenya; To ascertain the impact of electronic fund transfers on the volume of trade of commercial banks in Kenya; To ascertain the impact of online/internet banking activities on the volume of trade of commercial banks in Kenya. Theories are reviewed in this section which will direct the study. It comprises of the theories leading the performance of commercial banks in their operations and precisely in the field of Electronic banking. The section evaluates the financial intermediation theory in particular which deals with the main function of financial institutions which is intermediating between the surplus and the deficit units for sustained economic development. It also reviews the classical economics theory which holds that for a business to make returns, it has to obey the modern economics.&#x0D; Methodology: Simple random sampling method was used in this research. 10 representative banks were obtained from a population of 42 banks listed by the central bank of Kenya. In essence the method of statistical enumeration allows all members of the population to be studied. A population refers to the set of all observations under concern.&#x0D; A descriptive research design was used. The design allows us, according to Best et al (2003), to capture all relevant aspects of a situation when hiring a research and investigation team. Similarly, Namusonge (2010) states that this approach is best suited to gather detailed information where, by direct request, the researcher will reach all the population. Data for this case was majorly quantitative since it is readily available from the bank records for example the financial statements, publications, transactions. Secondary data is easy model of extracting data especially for quantitative research and this prompted the researcher to utilize it as the immediate tool for data collection. Panel data analysis was applied. This was done using the E-views panel data software.&#x0D; Findings: The results showed that there was a partial positive and statistically significant correlation between volume of banks trade and Mobile banking transactions (r= 2.854, p=0.000), Automatic Teller Machines (r=2.314, p=0.000) and usage of internet banking transactions (r=2.442, p=0.000). However, findings also revealed that electronic funds transfer (r=-0.5075, p= 0.000) has no significant influence on banks volume of trade. The null hypothesis Ho1: Mobile banking transactions has no significant influence banks volume of trade was rejected. The null hypothesis HO2: Automatic Teller Machines transactions have no significant influence on the banks volume of trade was rejected. The null hypothesis HO3: electronic funds transfer has no significant influence on banks volume of trade was true and thus was not rejected. Similarly, Null hypothesis HO4: internet banking transactions do not have a significant influence on project performance was not true and thus rejected.&#x0D; Unique Contribution to Theory and Practice: The findings of this study will be absolutely relevant to the stakeholders in the banking industry, government regulatory authorities and monetary policy frameworks implementation and monitoring. Banking institutions as well can be able to make decisions on the key areas they will need to improve transactions by customers in order to boost the volume of trade.

Nurses' Perceptions of Using Personal Digital Assistants in Tertiary Hospitals.

Personal digital assistants can perform multiple functions such as Internet search, documentation, calculating, and barcode scanning. This study examined nurses' perceptions of personal digital assistants used as a barcode scanner for medication administration, blood transfusions, and blood collection. A total of 236 nurses participated in the survey using the instrument developed by the researchers. The data collected were analyzed using descriptive statistics, one-way analysis of variance, and the Scheffe test. Written responses to the advantages and drawbacks of using personal digital assistants were categorized by meaning. The results showed that the nurses perceived more drawbacks than advantages in using personal digital assistants because of nonworking barcodes, prescription practice requiring additional scanning, poor interfacing between personal digital assistants and the EMR, and frequent Wi-Fi disconnection. The drawbacks resulted in delays in nursing workflow for patient care. Therefore, increasing the availability of barcode scanning for all medications applicable to personal digital assistant use, redesigning the practice of current prescriptions to eliminate additional scanning, and seamless interfacing between personal digital assistants and EMRs should be considered. This enables the nurses to use personal digital assistants more efficiently and effectively for patient care.

Nurses' Perceptions of Using Personal Digital Assistants in Tertiary Hospitals.

Personal digital assistants can perform multiple functions such as Internet search, documentation, calculating, and barcode scanning. This study examined nurses' perceptions of personal digital assistants used as a barcode scanner for medication administration, blood transfusions, and blood collection. A total of 236 nurses participated in the survey using the instrument developed by the researchers. The data collected were analyzed using descriptive statistics, one-way analysis of variance, and the Scheffe test. Written responses to the advantages and drawbacks of using personal digital assistants were categorized by meaning. The results showed that the nurses perceived more drawbacks than advantages in using personal digital assistants because of nonworking barcodes, prescription practice requiring additional scanning, poor interfacing between personal digital assistants and the EMR, and frequent Wi-Fi disconnection. The drawbacks resulted in delays in nursing workflow for patient care. Therefore, increasing the availability of barcode scanning for all medications applicable to personal digital assistant use, redesigning the practice of current prescriptions to eliminate additional scanning, and seamless interfacing between personal digital assistants and EMRs should be considered. This enables the nurses to use personal digital assistants more efficiently and effectively for patient care.

Evaluating the safety and efficiency of robotic dispensing systems

BackgroundAlthough automated dispensing robots have been implemented for medication dispensing in Japan, their effect is yet to be fully investigated. In this study, we evaluated the effect of automated dispensing robots and collaborative work with pharmacy support staff on medication dispensing.MethodsA robotic dispensing system integrating the following three components was established: (1) automated dispensing robot (Drug Station®), which is operated by pharmacy support staff, (2) automated dispensing robot for powdered medicine (Mini DimeRo®), and (3) bar-coded medication dispensing support system with personal digital assistance (Hp-PORIMS®). Subsequently, we evaluated the incidences of dispensing errors and dispensing times before and after introducing the robotic dispensing system. Dispensing errors were classified into two categories, namely prevented dispensing errors and unprevented dispensing errors. The incidence of dispensing errors was calculated as follows: incidence of dispensing errors = total number of dispensing errors/total number of medication orders in each prescription.ResultsAfter introducing the robotic dispensing system, the total incidence of prevented dispensing errors was significantly reduced (0.204% [324/158,548] to 0.044% [50/114,111], p < 0.001). The total incidence of unprevented dispensing errors was significantly reduced (0.015% [24/158,548] to 0.002% [2/114,111], p < 0.001). The number of cases of wrong strength and wrong drug, which can seriously impact a patient’s health, reduced to almost zero. The median dispensing time of pharmacists per prescription was significantly reduced (from 60 to 23 s, p < 0.001).ConclusionsThe robotic dispensing system enabled the process of medication dispensing by pharmacist to be partially and safely shared with automated dispensing robots and pharmacy support staff. Therefore, clinical care for patients by pharmacists could be enhanced by ensuring quality and safety of medication.

Engagement and attrition with eHealth tools for remote monitoring in chronic arthritis: a systematic review and meta-analysis

ObjectivesAlthough eHealth tools are potentially useful for remote disease monitoring, barriers include concerns of low engagement and high attrition. We aimed to summarise evidence on patients’ engagement and attrition with...

Research on Hospital Operating Room Management System Based on PDA Code Scanning Technology

In view of the high recognition error rate and long scanning time in the existing hospital scanning technology, a new hospital operating room scanning system is designed based on personal digital assistant (PDA). The PDA scanning device adopts PIC16F877A microcontroller of 8 bit for wireless transmission through RFID and bluetooth technology, the code scanning efficiency is greatly improved. In addition, in order to improve the accuracy of image analysis, this study also adopts the energy driven sampling classification algorithm (EDS-CA) to properly preprocess the medical data information received through PDA scanning, then constructs a function classifier, and improves the image processing efficiency according to the EDS-CA reduction process. The experimental results show that the average accuracy of the code scanning system designed in this study is 95%, which proves that PDA code scanning has good performance.

Design and Analysis of SRAM Cell for Smart Application

In today's circuittechnology, power consumption and savings are key concerns. The driving reasonsbehind these innovations are portable devices that require high throughput andlow power dissipation, such as computers, phones, and Personal DigitalAssistants (PDAs). In portable devices, reducing or decreasing IC dissipatedpower through design optimization is a big problem, and restricted batterylifespan places very severe restrictions on overall power usage. In this study SRAMcircuit for smart applications has been investigated using various factors suchas write, read, dynamic, static power with voltage and temperature. The powerconsumption analysis is the most essential criteria for memory design. Becausedata stability is a critical concern, affecting both the read and write operations.The implemented 9T SRAM in this study is more efficient than the other SRAM interms of power usage. When compared with the existing SRAM circuits taken forcomparison of different parameters, the proposed 9T SRAM, circuit uses lessthan 28.2% write power, while it uses about the same for read operation. Thedata retention voltage for both circuits is 0.29 V, which is utilized to storethe data in the circuit. The 32 nm Bulk CMOS process technology from PTM filesis used for designing and analysis.

Comparing the Efficiency of Malware Detection in Android System

Abstract: Personal Digital Assistants are becoming fundamental in our lives. Android is perhaps the most well-known working framework. Android OS is far-reaching in the portable business today due to its easy and comprehensive engineering. Application clients will generally trust the Android Operating System to get information; however, it is being demonstrated that Android is more defenseless and eccentric. of concern. As a result of its open-source design, the Android OS is endless in the versatile business today. It is a wide assortment of uses and essential highlights. Application clients generally prefer Android OS to get information

Design Of Interactive Smart Mirror System for Digital Information Display Based on Multitasking Approach Using Raspberry Pi

The average time humans look in the mirror is in the early morning when they will get ready for work. A person can rarely focus on other activities such as watching television for the latest news, checking the clock for the correct time, or even checking the weather forecast. Therefore, the purpose of this research is to design an interactive smart mirror that functions as a personal digital assistant to provide a schedule of daily activities, including recognizing the owner's face for access to the smart mirror, displaying weather forecasts, displaying the date and time, as well as the latest news. Unlike most smart mirrors in previous studies, this smart mirror design is connected to a facial recognition system. This will work for such security systems that the user will be granted access to the system only when the system detects that it is the owner. The method used in the research is the agile methodology for the project's flexibility and structured work organization. Experiments will be carried out on all test data starting from the accuracy of turning the smart mirror on and off, loading the weather on average 5 seconds after internet connection, making sure the Pi-camera component is active, and checking for face profiles. The system will test the data on each unit individually and as a whole to ensure efficiency and reliability. The experimental results in this study provide an accurate value of 100%.

Secured Health Monitoring System Using AES

Wireless medical sensor network is used in healthcare applications that have the collections of biosensors connected to a human body or emergency care unit to monitor the patient's physiological vital status. The real-time medical data collected using wearable medical sensors are transmitted to a diagnostic centre. The data generated from the sensors are aggregated at this centre and transmitted further to the doctor's personal digital assistant for diagnosis. The unauthorised access of one's health data may lead to misuse and legal complications while unreliable data transmission or storage may lead to life threatening risk to patients. So, this system uses Advanced Encryption Standard (AES) algorithm to encrypt the data to make it secured transmission and access control system for medical sensor network. Further the data is sent to a centralised server through a wireless network. In this case this server can be a Personal Computer (PC) connected to the same network, for this transmission User Datagram Protocol (UDP) can be used. This data can be accessed at the receiver side only.

Current and Future Trends In Mobile Device Forensics

The contemporary nature of Mobile Devices has brought about evolution process making computational algorithm and networking capabilities to keep up to pace with its constantly growing workload requirements in it usage. This has allowed devices such as smartphones, tablets, and Personal Digital Assistants (PDAs) to perform increasingly complex activities making it more efficient enough to replace the traditional options like desktop computers and notebooks. However, due to their portability and size, these devices are more prone to theft, to become compromised, or to be exploited for attacks and other malicious activity. The need for investigation of the aforementioned incidents resulted in the creation of the Mobile Forensics (MF) discipline. MF, a sub-domain of digital forensics, is specialized in extracting and processing evidence from mobile devices in such a way that attacking entities and actions are identified and traced. Apart from the MF being used for extraction and processing evidence from mobile devices, the MF has recently expanded its scope to encompass the organized and advanced evidence representation and analysis of future malicious entity behavior. The activity of mobile device in crime also falls under the classification of cybercrime as sophisticated devices such as smartphones can be used by hackers on the move. Nonetheless, data acquisition still remains its focus. While the field is under continuous research activity, new concepts such as the involvement of Cloud Computing in the MF ecosystem and the evolution of enterprise mobile solutions – particularly Mobile Device Management (MDM) and Bring Your Own Device (BYOD) – bring new opportunities and issues to the discipline. The current paper presents the research conducted with the MF ecosystem during the last 7 years (Konstantia Barmpatsalou, Tiago Cruz, Edmundo Monteiro, and Paulo Simoes. 2018. Current and Future Trends in Mobile Device Forensics), identifies the gaps, and highlights the impact or implication in different jurisdiction. There is a need to have well defined research programmes to constantly search into the behaviors and flaws of institution on cyber safety and challenges that behalf governance on decision making. Keywords: Mobile Forensics, Cybersecurity, Device Management, smartphones, Politics, Trust BOOK Chapter ǀ Research Nexus in IT, Law, Cyber Security &amp; Forensics. Open Access. Distributed Free Citation: (2022): Current and Future Trends In Mobile Device Forensics Book Chapter Series on Research Nexus in IT, Law, Cyber Security &amp; Forensics. Pp 215-220 www.isteams.net/ITlawbookchapter2022. dx.doi.org/10.22624/AIMS/CRP-BK3-P35

AN OVERVIEW OF PATTERN RECOGNITION

The operation and design of systems that can recognize a pattern in data are the subjects of the Al research field of pattern recognition. Pattern recognition has a wide range of practical uses. These consist of fraud detection, fraud prevention, handwriting recognition, facial recognition, etc. Face recognition uses a person's face to unlock a device rather than a keyboard to enter a password. As a result, there are fewer chances that the passwords will be forgotten or leaked to an unauthorized person. Since their faces are unlikely to resemble the original user's saved face model, this also prohibits other people from using the computer. The usage of handwriting in Al is handwriting recognition, one of the most promising ways to interface with small portable computing devices like personal digital assistants. They suggested visualizing the writing process on regular paper and automatically recovering the pen trajectory from numerical tablet sequences to make this communication technique appear more natural.

Technology usage for teaching and learning in nursing education: An integrative review.

BackgroundThe increasing availability of technology devices or portable digital assistant devices continues to change the teaching-learning landscape, including technology-supported learning. Portable digital assistants and technology usage have become an integral part of teaching and learning nowadays. Cloud computing, which includes YouTube, Google Apps, Dropbox and Twitter, has become the reality of today’s teaching and learning and has noticeably improved higher education, including nursing education.ObjectivesThe aim of this integrative literature review was to explore and describe technology usage for teaching and learning in nursing education.MethodA five-step integrative review framework by Whittemore and Knafl was used to attain the objective of this study. The authors searched for both empirical and non-empirical articles from EBSCOhost (health information source and health science), ScienceDirect and African Journals Online Library databases to establish what is already known about the keywords. Key terms included in literature search were coronavirus disease 2019 (COVID-19), digital learning, online learning, nursing, teaching and learning, and technology use.ResultsNineteen articles were selected for analysis. The themes that emerged from this review were (1) technology use in nursing education, (2) the manner in which technology is used in nursing education, (3) antecedents for technology use in nursing education, (4) advantages of technology use in nursing education, (5) disadvantages of technology use in nursing education and (6) technology use in nursing education amidst COVID-19.ConclusionTechnology in nursing education is used in both clinical and classroom teaching to complement learning. However, there is still a gap in its acceptance despite its upward trend.ContributionThe findings of this study contribute to the body of knowledge on the phenomenon of technology use for teaching and learning in nursing education.

Patient’s Perception about use of Personal Digital Assistants/ Smart Phones by Physiotherapists

Background: Mobile phone is the need of present era in almost all fields of life. The demand of mobile phone has been increased thousand times because of emergence of smartphone. A smartphone works efficiently that it replaced computer systems and much more. Methodology: This study was a cross-sectional survey. It was completed in 4 months of duration. Data was collected from Public and private clinical setups having facility of outdoor physiotherapy services. Data was collected from physiotherapy patients. Both male and female physiotherapy patients aged between 15 to 70 were included in this study. Patients with cognitive impairments and not willing to participate or signing a consent were excluded from this study. Nonprobability Convenient sampling technique was used. The questionnaire has been adopted from previous literature. (11) Data was analyzed using Statistical Package for Social Sciences (SPSS 20.0). Data was analyzed in way that Numbers and percentages was calculated for demographics. Mean, standard deviation was calculated for total scores and continuous variables. Results: The result shows that 38.7% of the participants were male and 61.3% of the participants were females. The result shows education of the participants as 11.3% under metric, 10.7 % metric, 28.7% intermediate, 34% Bachelors, 12% Masters and 3.3% higher respectively. Moreover, the results of current study shows that 14.7% said no, 16% said don’t know and 69.3% said yes about knowledge of performance of your doctor on this device: Information look up. The result shows that 19.3% said no, 14% said don’t know and 66.7% said yes about knowledge of performance of your doctor on this device: Look up information about how to treat an illness. Conclusion: There found a moderate to high level of positive perception regarding use of personal digital assistants/ smart phones by physiotherapists. Furthermore, there found a direct correlation between knowledge and perception of smart devices i.e., higher knowledge, more positive the perception found. Keywords: Patient’s Perception, Physiotherapy Patients, Personal Digital Assistants, Smart Phones.