04.03.2019, 02:20 MedGizmo
DigiHealthBrief: MedGizmo Weekly Healthcare Research Papers & SlideShare Overview for the Week Ending March 03, 2109
Healthcare is changing as a result of digital transformation, increasing life expectancy and changing social norms. However, reshaping healthcare through sustainable innovation and the creation of uncontested market space does not primarily require an exclusive focus on technology, but a nuanced understanding of future healthcare needs – of patients as well as society. These future needs – which can be contradictory – are the foundation for effective solutions and technologies. This requires a renewed focus on social innovation aimed at future needs and the fundamental structures of healthcare systems as a next step in the process of redesigning healthcare.
Delivering Sustainable Improvements/Changes in Complex Environments through a robust Business Transformation Program(s). In this presentation, I tried to succinctly discuss the future technology trends and explain how they can impact the healthcare industry. Also Business Transformation, as a key to tackle, has been discussed.
Hybrid IT is a complex landscape to navigate. Understanding optimized workload distribution and price-performance metrics are key. Not every cloud delivers the same for performance for the same cost. Not every facility is FISMA High rated and power usage effeciveness (PUE) and availability of connectivity differs by facility. Valuable healthcare data requires secure environments verified by stringent compliance guidelines.
Accenture's six-country survey among 180 C-level health executives says adoption of AI is measured, but real. The survey assessed beliefs about market maturity, practical and clinical challenges to the adoption of AI in healthcare.
Enthusiasm for AI (artificial intelligence) is high among health executives, with people skills the most important implementation success factor. Sufficient staff training/ expertise is rated the most important success factors for AI implementation (ranked in top three by 73 percent of execs).
Pragadeesh Suresh, Freelancing
Our present modern information system makes use of computers for the execution, each of them connected through an optimized network. Healthcare is the most critical aspect of our society, and many health care providers face challenges to offer practical and active services to patients. Considering a multispeciality hospital, many people enter and exit the hospital in a day and maintaining their records safely is tedious. To reduce this type of burdens and to manage the financial, hospital administration and clinical aspects, Hospital information system came into existence. Apart from that automating your hospital's processes and implementing them cannot be done too easily, you need an efficient hospital information system to take care of everything that is happening around the labs and hospitals
Atul Butte, et al. MD, PhD University of California Health (UC Health)
• Combined EHR data from UCSF, UCLA, UC Irvine, UC Davis, UC San Diego, and UC Riverside • Total 15 million patients with an MRN, basic diagnosis data • Central database built using OMOP (not Epic) as a data backend – Structured data from 2012 to the present day – 5.2 million patients with “modern” data – 101M encounters, 307M procedures, 283M med orders, 684M vital signs, 453M lab test results, 422M diagnosis codes – Claims data from our self-funded plans now included – Continually harmonizing elements • Quality and performance dashboards 31 The University of California has an incredible view of the medical system
Eshan Bhuiyan, Computer Engineering Student
Healthcare big data refers to the vast quantities of data that is now available to healthcare providers. As a response to the digitization of healthcare information and the rise of value-based care, the industry has taken advantage of big data and analytics to make strategic business decisions.
Daniel R. Wong, Sanchita Bhattacharya & Atul J. Butte , Nature Communications, volume 10, Article number: 917 (2019)
We propose a blockchain-based system to make data collected in the clinical trial process immutable, traceable, and potentially more trustworthy. We use raw data from a real completed clinical trial, simulate the trial onto a proof of concept web portal service, and test its resilience to data tampering. We also assess its prospects to provide a traceable and useful audit trail of trial data for regulators, and a flexible service for all members within the clinical trials network. We also improve the way adverse events are currently reported. In conclusion, we advocate that this service could offer an improvement in clinical trial data management, and could bolster trust in the clinical research process and the ease at which regulators can oversee trials.
United States Patent Application Publication Pub . No . : US 2019 / 0051390 A1 Applicant : Netspective Communications LLC , Silver Spring , MD (US)
A computer - controlled diagnostic network system. The system includes diagnostic devices and diagnostician devices located at different locations in a distributed secured network. The system includes a computer - controlled central blockchain server for storing and processing details obtained from the diagnostic devices and the diagnostician devices.
The number of people affected with Sexually Transmitted Diseases (STDs) is at an all-time high. Health experts consider online dating as one of the biggest reasons for the rise in STDs. IFFY plans to introduce a solution that will allow dating app or socially conscious users to store and verifiably exchange their HIV or STD reports Our solution will be based on a distributed ledger technology blockchain that uses cryptography and digital signatures to save health information
#TELEMEDICINE, #TELEHEALTH, #HEALTHMONITORING
Dr. Kashif Javed, Department of Electrical Engineering, UET Lahore
Problem Statement Proposed Solution and Analytical Analysis Methodology – Flow Chart Block Diagram and Details of Sub Systems Design of circuits and sub systems Simulation and results Standards and benchmarking Hardware prototyping Modern Tools Project Management and Team Work
A brief introduction History and Present Basic Components of a 3D- Printing unit 3D-Printing Methods Material for 3DP Applications Future aspects
A Scalable Health Thought Paper
PATIENTS ARE NO LONGER PASSIVE RECIPIENTS OF CARE They are becoming more engaged with providers, researching treatment options on their smartphones and expecting to be treated in a manner and an environment of their choosing, most likely outside the traditional hospital environment. Advances in digital health options let them FaceTime with doctors from their tablets, email, and text with providers and consult with specialists without having to travel great distances. These and many other digital advances contribute to a better overall patient experience.
Wearables are showing the potential to significantly impact the data available for clinical trials and medical researchers in numerous ways. While the quality and efficacy of these devices varies widely, the sensor technologies in these devices has evolved to meet the needs of many clinical research endeavors. Wearables also enable longitudinal biometric data sets that can provide unique insights into the long-term, real-world impact of pharmacotherapies and treatment protocols. There are also many challenges in using wearables in trials, including access to the raw data from wearables, validation of the data from wearable devices, processing and analysis of massive amounts of wearable data, and data security. This webinar is an interactive discussion on the state of wearables in clinical trials and medical research, where the opportunities are and the challenges to be overcome.
Using InnovationQ Plus to research patents and non-patent literature to support a release of a wearable and non-invasive sensor to measure and remotely log cortisol levels.
#HEALTHSECURITY #HEALTHLAW #MEDICALLAW #FDA
Nawanan Theera-Ampornpunt, Lecturer at Mahidol University
Presented at the Royal College of Pathologists of Thailand, Bangkok, Thailand
Where We Are Today... Clinical Informatics. Public Health Informatics. Consumer Health Informatics. Technology that focuses on the sick, not the healthy. Silos of data within hospital. Poor/unstructured data quality. Lack of health data outside hospital. Poor data integration across hospitals/clinics. Poor data integration for monitoring & evaluation. Poor data quality
Dr.Sagarika Kamath et al, Assistant Professor, School of Management,
Manipal Academy of higher education, Karnataka – 576104
International Journal of Mechanical Engineering and Technology (IJM Volume 10, Issue 1, January 2019
Richardson (2006) defined ED crowding as patient occupancy at, or greater than, the 75th percentile for a given time period. the day into six 4-hour intervals. For for the ED was calculated. If the ED was over 75% occupied, it was considered crowded for the corresponding time interval. Other researchers have based their conceptual definition on the Crowding Resources Task Force of 2002 which states that crowding is a “situation in which the identified need for emergency services outstrips available resources in the ED”
Philip Payne, Professor and Director, Institute for Informatics
Evolution, technology, and the complexity of healthcare • Leveraging informatics to improve an ultra large scale system. Evolution: The changing landscape of information technology at the point-of-care and beyond Paper Learning Healthcare Systems. Advances in technology: From mechanical to quantum computing
What are the Social Determinants of Health? How do they affect the patient population? To what extent, their effects can be noticed?
Get the answers to all these queries in this introductory guide to the social determinants of health. To know more about how you can get a perfect understanding of the SDOH data drilled-down to the zip code-level, read this research.
#MENTALHEALTH #NEUROSCIENCE #NEURO #NEUROFEEDBACK #FUNCTIONALNEUROLOGY #NEUROTECHNOLOGY
Vivek Misra, Neuroscience | Public Health | Research
Assistive technology (AT) is any item, piece of equipment, software program, or product system that is used to increase, maintain, or improve the functional capabilities of persons with disabilities
Dr. BALA S RAJARATNAM, President & Founder, Asia Pacific Asssitive, Rehabilitative & Therapeutic Technologies (APac ARTT) network. Presented at CaREhab 2019 in Singapore under Track 4: INNOVATION:ROBOTICS & ASSISTIVE TECHNOLOGY
I would like to share with you criteria to use technology toward enhancing motor recovery for my clients who have experienced stroke. OUTLINE 1. Stroke is a Huge Problem 2. Define Rehabilitation Technology (RT) 3. List of latest RT and review of studies. 4. What enhances motor recovery? 5. Our healthcare institution rehabilitation journey.
04.03.2019, 02:20 MedGizmo
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