scholarly journals Perancangan aplikasi teknologi informasi helpdesk berbasis web pada instalasi rekam medik dan admisi RSCM Jakarta

JURNAL WIDYA ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 129-145
Author(s):  
Arie Purwanto ◽  
Verdi Yasin ◽  
Rachmawaty Haroen
Keyword(s):  

Kemajuan teknologi informasi pada zaman sekarang sangat penting dan banyak di butuhkan tidak terkecuali pada rumah sakit. Pada bagian teknisi instalasi atau admisi rekam medik, karena berpengaruh untuk jalan nya operasional rumah sakit yang mengutamakan nyawa pasien, Installasi perangkat atau masalah pada sistem atau aplikasi sering terjadi , dan oleh sebab itu untuk memperbaiki masalah tersebut secara realtime sangat di butuhkan Sebuah Sistem untuk penanganan yang di lakukan oleh IT Helpdesk yang bertujuan untuk komunikasi secara cepat, pengajuan keluhan dengan sigap pada jika ada kendala dan perbaikan pada aplikasi,. Pada aplikasi Helpdesk ini Jika User Ada keluhan atau meminta bantuan untuk intsall perangkat, kemudian yang aka di lakukan adalah input form pengajuan keluhan pada aplikasi yang akan di cek oleh teknisi. Dan  apabila pengajuan yang berubpa no tiket pada aplikasi telah di respon ,maka akan segera di perbaiki jika ada yang harus di ganti atau dikomunikasi kan problem solving nya seperti apa langkah berikutnya ,dan aplikasi ini bisa di cek secara real time dan menjaga agar tidak ada keterlambatan respon terkait hal ini.

2021 ◽  
Vol 309 ◽  
pp. 01121
Author(s):  
G Sandhya Rani ◽  
U Vijaya Laxmi ◽  
P Srividya Devi ◽  
M Naga Sandhya Rani

The objective of this paper is to monitor the electrical parameters like voltage, current, etc., remotely and display all the obtained real time values for a substation isolate. This paper is furnished to assure the load and electrical system equipment by the activation of relay, whenever the acquired parameters exceed the predefined values. Generally, this Proposed system design makes use of microcontroller, but the prototype of this circuit modelled in Proteus and can be executed by using ATmega 168 microcontroller. When supply is given to the designed hardware, all the sensors start sensing their respective parameters i. e., voltage, current, temperature etc., and modernize all the values on the display. Comparison between the problem-solving time values and the preordained values is continuously carried out by the microcontroller, if any of these values go beyond the pre-defined values, it sends fault alert to the relay, updates it on the screen and sends the same as an SMS through GSM for the rectification.


Author(s):  
Eric A Williams ◽  
Lauren Ladwig ◽  
De Ann Nikolai ◽  
Gay Matthews ◽  
Jeanine M Graf

Introduction: Our purpose was to develop a high reliability system (The SWARM) to empower frontline staff to share information regarding communication and process inefficiencies to rapidly develop solutions. Hypothesis: A systematic process for recognition, evaluation, and transparent feedback would increase the use of problem-solving. Methods: A multidisciplinary team, led by a physician and nurse, developed an email strategy to let frontline staff identify problems in real-time and solve and spread this knowledge throughout the CVICU and Heart Center. Problems submitted were outside the scope of institutional patient safety reporting. Unless immediate attention was required, the SWARM team evaluated entries weekly. Entries were categorized as: 1) Useful information to share with ICU staff; 2) More information needed to be obtained and personnel consulted; or 3) A multidisciplinary task force needed to generate consensus and evidence-based guidelines. Solutions were shared with ICU staff via direct email and a monthly newsletter. After 6 months ICU staff were surveyed with 5 questions regarding awareness, utility, and ease of use of the SWARM process. Staff were resurveyed after re-education and institution of leadership walk-rounds. Rates of SWARM entries before and after re-education were compared using Fisher’s Exact Test for proportions.*p<.05 Results: Of the total 65 SWARM entries, 9% were level 1, 86% were level 2 and 5% were level 3. Entries were categorized into problem types and are shown in the Pareto Chart as percent of total(See Chart). Pre- and post- survey results indicated that staff awareness increased from 70% to 91% and staff understanding of utility increased from 57% to 75%. After re-education, use in CVICU increased by 417% (0.7/week to 2.9/week)*. The increased rate of use of the SWARM system has been sustained for 8 weeks post education. The current rate is 1.8/week. The top two Solutions by category were Re-Education (62%) and Practice Change (17%). Conclusions: A system was developed to better manage quality through real-time awareness of our performance. The formal creation of a standardized context for information sharing has resulted in a significant increase in the performance of problem-solving. This multidisciplinary effort allows for minimizing unnecessary variation in how quality improvement efforts are identified and performed.


Author(s):  
Katharine Clemmer

Loyola Marymount University (LMU) has developed a new approach to problem solving, Collaborative Solution Discovery (CSD), to help practitioners in a school system leverage their individual passions in a way that grows students’ positive math identity through mathematical thinking, problem solving, and self-regulation. By focusing on how students and teachers interact with each other in real-time in an ideal classroom, practitioners take ownership of a process to guide their students in growing their positive math identity and thus taking ownership of their own math learning. Practitioners measure progress along the way through metrics that are created, defined, used, and continually refined by themselves to attain their ideal math learning environment. The entire CSD process results in a system that owns ist improvement efforts—improvement efforts that are flexible, adaptable, and sustainable.


2020 ◽  
Vol 37 (5) ◽  
pp. 267-277
Author(s):  
Maarten de Laat ◽  
Srecko Joksimovic ◽  
Dirk Ifenthaler

PurposeTo help workers make the right decision, over the years, technological solutions and workplace learning analytics systems have been designed to aid this process (Ruiz-Calleja et al., 2019). Recent developments in artificial intelligence (AI) have the potential to further revolutionise the integration of human and artificial learning and will impact human and machine collaboration during team work (Seeber et al., 2020).Design/methodology/approachComplex problem-solving has been identified as one of the key skills for the future workforce (Hager and Beckett, 2019). Problems faced by today's workforce emerge in situ and everyday workplace learning is seen as an effective way to develop the skills and experience workers need to embrace these problems (Campbell, 2005; Jonassen et al., 2006).FindingsIn this commentary the authors argue that the increased digitization of work and social interaction, combined with recent research on workplace learning analytics and AI opens up the possibility for designing automated real-time feedback systems capable of just-in-time, just-in-place support during complex problem-solving at work. As such, these systems can support augmented learning and professional development in situ.Originality/valueThe commentary reflects on the benefits of automated real-time feedback systems and argues for the need of shared research agenda to cohere research in the direction of AI-enabled workplace analytics and real-time feedback to support learning and development in the workplace.


2006 ◽  
Vol 32 (9) ◽  
pp. 479-487 ◽  
Author(s):  
Richard P. Shannon ◽  
Diane Frndak ◽  
Naida Grunden ◽  
Jon C. Lloyd ◽  
Cheryl Herbert ◽  
...  

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