Cost Effective Use of Free-to-Use Apps in Neurosurgery (FAN) in Developing Countries: From Clinical Decision Making to Educational Courses, Strengthening Health Care Delivery

2016 ◽  
Vol 95 ◽  
pp. 270-275 ◽  
Author(s):  
Amit Thapa ◽  
Bidur KC ◽  
Bikram Shakya
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Developing Countries ◽  
Health Care Delivery ◽  
Clinical Decision Making ◽  
Care Delivery ◽  
Cost Effective ◽  
Clinical Decision ◽  
Effective Use

scholarly journals Cost effective use of free to use apps (FAN) in neurosurgery in developing countries: from clinical decision making to educational courses, strengthening the health care delivery

2016 ◽  
Vol 18 (3) ◽  
pp. 36 ◽  
Author(s):  
Amit Thapa ◽  
Bidur KC ◽  
Bikram Shakya
Keyword(s):  
Decision Making ◽  
Developing Countries ◽  
Data Storage ◽  
Clinical Decision Making ◽  
Care Delivery ◽  
Medical Knowledge ◽  
Cost Effective ◽  
Clinical Decision ◽  
Good Communication ◽  
Related Data

Introduction and Objective: Financial limitations and scarcity of technological knowledge is a major hurdle to good communication platform, data storage and dissemination of medical knowledge in developing countries. Out of necessity we used free to use apps in our practice. We studied the applicability and cost effective aspect of a systematic use of these apps in neurosurgery.Materials and Methods: We designed Free to use apps in neurosurgery (FAN) module in 4 phases at KMCTH over the last 3 years. We used free apps like viber, dropbox, skype and vlc media player on 3G and wifi. Users were trained in ethics and measures to ensure confidentiality and privacy of patient related data. Endpoints studied were feasibility, reliability, cost effectiveness and overall satisfaction of the users.Results: In the FAN module, viber app was used to send pictures of digital imagings (DI) using smartphones within 30 minutes enabling quick decision by the consultants. Dropbox not only helped store images but also helped quick verification of discharge summaries as early as 15 minutes increasing overall efficiency. With Skype, consultants could be contacted even when they were abroad and using FAN they remain updated of their patients. Using skype and vlc, 2 operative live workshops from abroad was transmitted live with good visual and audio reception allowing question answer sessions with the faculties. Users’ satisfaction was more than 90%.Conclusion: FAN module helped in quick reliable decision making, allowing for instantaneous communication and storing data and exchange of knowledge across countries.

Reengineering acute episodic and chronic care delivery: the Geisinger Health System experience

2012 ◽  
Vol 33 (1) ◽  
pp. E16 ◽  
Author(s):  
Jonathan R. Slotkin ◽  
Alfred S. Casale ◽  
Glenn D. Steele ◽  
Steven A. Toms
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Health System ◽  
Chronic Care ◽  
Health Care Policy ◽  
Clinical Decision Making ◽  
Care Delivery ◽  
Policy Research ◽  
Clinical Decision ◽  
Medical Decision

Comparative effectiveness research (CER) represents an evolution in clinical decision-making research that allows for the study of heterogeneous groups of patients with complex diseases processes. It has foundations in decision science, reliability science, and health care policy research. Health care finance will increasingly rely on CER for guidance in the coming years. There is increasing awareness of the importance of decreasing unwarranted variation in health care delivery. In the past 7 years, Geisinger Health System has performed broad reengineering of its acute episodic and chronic care delivery models utilizing macrosystem-level application of CER principles. These provider-driven process initiatives have resulted in significant improvement across all segments of care delivery, improved patient outcomes, and notable cost containment. These programs have led to the creation of novel pricing models, and when “hardwired” throughout a care delivery system, they can lead to correct medical decision making by 100% of providers in all patient encounters. Neurosurgery as a specialty faces unique challenges and opportunities with respect to broad adoption and application of CER techniques.

What Is Medical Ethics Consultation?

2008 ◽  
Vol 36 (1) ◽  
pp. 95-118 ◽  
Author(s):  
Giles R. Scofield
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Medical Ethics ◽  
Medical Technology ◽  
Clinical Decision Making ◽  
Ethics Consultation ◽  
Clinical Decision ◽  
Law Students ◽  
Medical Ethicist ◽  
Care Decision

As everybody knows, advances in medicine and medical technology have brought enormous benefits to, and created vexing choices for, us all – choices that can, and occasionally do, test the very limits of thinking itself. As everyone also knows, we live in the age of consultants, i.e., of professional experts who are ready, willing, and able to give us advice on any and every conceivable question. One such consultant is the medical ethics consultant, or the medical ethicist who consults.Medical ethics consultants involve themselves in just about every aspect of health care decision making. They help legislators and judges determine law, hospitals formulate policies, medical schools develop curricula, etc. In addition to educating physicians, nurses, and lawyers, amongst others, including medical, nursing, and law students, they participate in clinical decision making at the bedside.

HEALTH TECHNOLOGY ASSESSMENT AND CLINICAL DECISION MAKING:

1999 ◽  
Vol 15 (3) ◽  
pp. 585-592 ◽  
Author(s):  
Alicia Granados
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Health Technology Assessment ◽  
Case Studies ◽  
Technology Assessment ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Health Technology ◽  
Evidence Based ◽  
Systematic Process

This paper examines the rationality of the concepts underlying evidence—based medicineand health technology assessment (HTA), which are part of a new current aimed at promoting the use of the results of scientific studies for decision making in health care. It describes the different approaches and purposes of this worldwide movement, in relation to clinical decision making, through a summarized set of specific HTA case studies from Catalonia, Spain. The examples illustrate how the systematic process of HTA can help in several types of uncertainties related to clinical decision making.

Cost-Effective Clinical Decision Making

PEDIATRICS ◽  
1980 ◽  
Vol 65 (2) ◽  
pp. 371.1-371
Author(s):  
Edward J. O'Boyle
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Cost Effective ◽  
Clinical Decision

The impact of new technologies on clinical decision-making in health care

Science ◽  
2015 ◽  
Vol 350 (6266) ◽  
pp. 1397-1397
Author(s):  
R. Rosenquist Brandell ◽  
O. Kallioniemi ◽  
A. Wedell
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Clinical Decision Making ◽  
New Technologies ◽  
Clinical Decision ◽  
The Impact

A Model for Diabetes Health Care Delivery in Developing Countries

1987 ◽  
Vol 13 (3) ◽  
pp. 286-291
Author(s):  
Ratimir Kovacevic ◽  
Mate Granic ◽  
Zdenko Skrabalo
Keyword(s):  
Health Care ◽  
Developing Countries ◽  
Health Care Delivery ◽  
Care Delivery ◽  
Program Planning ◽  
National Level ◽  
Health Care Delivery System ◽  
Research Education ◽  
Transfer Programs ◽  
Developed Nations

Developing countries can make considerable progress in providing diabetes health care if they adopt ideas and technologies already being applied in diabetes health care in other parts of the world, but they must adapt them to their own particular circumstances. Too often efforts in this direction fail because it is not possible to transfer programs from developed nations intact and expect them to function in the circumstances of less developed nations. Success on a national level requires the application of a systematic health care model tailored to the needs of the developing country. As discussed in this paper, the model's elements include organization of the available national health care delivery system; education of health care personnel, patients, their families, and communities; diabetes-related epidemiological research; education program planning; and continuous program evaluation and adjustment.

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