Identifying Critical Changes in Adoption of Personalized Medicine (PM) in Healthcare Management

2016 ◽  
Vol 7 (3) ◽  
pp. 1-15 ◽  
Author(s):  
Subhas C. Misra ◽  
Sandip Bisui ◽  
Kamel Fantazy
Keyword(s):  
Health Care ◽  
Personalized Medicine ◽  
Health Care System ◽  
Electronic Medical Record System ◽  
Healthcare Management ◽  
It Infrastructure ◽  
Record System ◽  
Secure Information ◽  
Medical Record System ◽  
Care System

Among the emerging areas in health-care system, the implementation of Electronic Medical Record system and the discovery of Personalized Medicine are occupying top positions. While some of the personalized drugs have already been discovered, implementing this new medicare system requires a lot of changes in the traditional health-care system. This paper aims at identifying these critical changes required in the adoption of the Personalized Medicine system. A systemic attempt has been made to prepare a list of possible changes required for the adoption based on available literature. This research study shows that changes from reactive to efficient medical care, from trial and error to right treatment for right person at right time, from narrow mind-set to open mindedness, from open information of patients to secure information, from less emphasis on IT infrastructure to more emphasis on IT infrastructure are some of the significant changes that are necessary for implementing the revolutionary medicare system of personalized Medicine.

scholarly journals Implementing Personalized Medicine in the Academic Health Center

2016 ◽  
Vol 6 (3) ◽  
pp. 18 ◽  
Author(s):  
Scott Weiss
Keyword(s):  
Health Care ◽  
Personalized Medicine ◽  
Health Center ◽  
Health Care System ◽  
Academic Health Center ◽  
Academic Health ◽  
System 1 ◽  
Care System

Recently we at Partners Health Care had a series of articles in the Journal of Personalized Medicine describing how we are going about implementing Personalized Medicine in an academic health care system [1–10].[...]

scholarly journals Crossing the health IT chasm: considerations and policy recommendations to overcome current challenges and enable value-based care

2017 ◽  
Vol 24 (5) ◽  
pp. 1036-1043 ◽  
Author(s):  
Julia Adler-Milstein ◽  
Peter J Embi ◽  
Blackford Middleton ◽  
Indra Neil Sarkar ◽  
Jeff Smith
Keyword(s):  
Health Care ◽  
Health Care System ◽  
Health Care Delivery ◽  
Care Delivery ◽  
Policy Recommendations ◽  
It Infrastructure ◽  
Health It ◽  
Current Health ◽  
Value Based Care ◽  
Care System

Abstract While great progress has been made in digitizing the US health care system, today’s health information technology (IT) infrastructure remains largely a collection of systems that are not designed to support a transition to value-based care. In addition, the pursuit of value-based care, in which we deliver better care with better outcomes at lower cost, places new demands on the health care system that our IT infrastructure needs to be able to support. Provider organizations pursuing new models of health care delivery and payment are finding that their electronic systems lack the capabilities needed to succeed. The result is a chasm between the current health IT ecosystem and the health IT ecosystem that is desperately needed. In this paper, we identify a set of focal goals and associated near-term achievable actions that are critical to pursue in order to enable the health IT ecosystem to meet the acute needs of modern health care delivery. These ideas emerged from discussions that occurred during the 2015 American Medical Informatics Association Policy Invitational Meeting. To illustrate the chasm and motivate our recommendations, we created a vignette from the multistakeholder perspectives of a patient, his provider, and researchers/innovators. It describes an idealized scenario in which each stakeholder’s needs are supported by an integrated health IT environment. We identify the gaps preventing such a reality today and present associated policy recommendations that serve as a blueprint for critical actions that would enable us to cross the current health IT chasm by leveraging systems and information to routinely deliver high-value care.

scholarly journals State regulation of the healthcare management system as a strategic imperative in the context of external challenges

2021 ◽  
pp. 5-8
Author(s):  
Oleksandr RADCHENKO
Keyword(s):  
Health Care ◽  
Public Administration ◽  
Health Care System ◽  
Regional Governance ◽  
Healthcare Management ◽  
State Regulation ◽  
Medical Services ◽  
State Management ◽  
Medical Sector ◽  
Care System

The study identified key factors in the effective management of the health care system. Emphasis was placed on defining mechanisms and tools for public administration of the national health care system, which determine profound systemic changes in the reform of the industry and developed an improved methodology for assessing the results of effective development of public administration mechanisms through the transformation of procedures and rules governing the interaction of agents. market of medical services of Ukraine. These provisions, in fact, necessitate an analysis of the development of public administration mechanisms in the field of health care in Ukraine as a subject of study, and their interaction in the process of systemic changes in the industry to establish links between major categories. Based on the analysis of the results of the study, the current state of the health care system of Ukraine as a prerequisite for the modernization of the medical sector and increase its competitiveness. State regulation of the health care system should be divided into specific types of regulatory actions that would determine the subject, content, structure of the object of regulation and other parameters. The system of public administration is a set of rules, laws and procedures governing the interaction of participants at the national level. The determinants of the development of mechanisms of state management of the medical sector of Ukraine (socio-political, economic, demographic, socio-cultural) are determined and substantiated. The main reasons that hinder the development of the market of medical services in Ukraine are identified and the main directions and tools for overcoming these obstacles are outlined. The concept of systemic transformation of public administration mechanisms in the field of health care is substantiated, which defines the basic principles, among which are decentralization, democratization, self-regulation, autonomy, intensification, optimization of functions, which provides for diversification of ownership, sectoral governance reform, improving regional governance, financial reform, etc.

scholarly journals Automated Categorization of Systemic Disease and Duration From Electronic Medical Record System Data Using Finite-State Machine Modeling: Prospective Validation Study

10.2196/24490 ◽  
2020 ◽  
Vol 4 (12) ◽  
pp. e24490
Author(s):  
Gumpili Sai Prashanthi ◽  
Ayush Deva ◽  
Ranganath Vadapalli ◽  
Anthony Vipin Das
Keyword(s):  
Health Care ◽  
Positive Predictive Value ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Finite State Machine ◽  
Electronic Medical Record System ◽  
State Machine ◽  
Record System ◽  
Medical Record System ◽  
Finite State

Background One of the major challenges in the health care sector is that approximately 80% of generated data remains unstructured and unused. Since it is difficult to handle unstructured data from electronic medical record systems, it tends to be neglected for analyses in most hospitals and medical centers. Therefore, there is a need to analyze unstructured big data in health care systems so that we can optimally utilize and unearth all unexploited information from it. Objective In this study, we aimed to extract a list of diseases and associated keywords along with the corresponding time durations from an indigenously developed electronic medical record system and describe the possibility of analytics from the acquired datasets. Methods We propose a novel, finite-state machine to sequentially detect and cluster disease names from patients’ medical history. We defined 3 states in the finite-state machine and transition matrix, which depend on the identified keyword. In addition, we also defined a state-change action matrix, which is essentially an action associated with each transition. The dataset used in this study was obtained from an indigenously developed electronic medical record system called eyeSmart that was implemented across a large, multitier ophthalmology network in India. The dataset included patients’ past medical history and contained records of 10,000 distinct patients. Results We extracted disease names and associated keywords by using the finite-state machine with an accuracy of 95%, sensitivity of 94.9%, and positive predictive value of 100%. For the extraction of the duration of disease, the machine’s accuracy was 93%, sensitivity was 92.9%, and the positive predictive value was 100%. Conclusions We demonstrated that the finite-state machine we developed in this study can be used to accurately identify disease names, associated keywords, and time durations from a large cohort of patient records obtained using an electronic medical record system.

scholarly journals Next-generation nutritional biomarkers to guide better health care

2016 ◽  
Vol 60 (2) ◽  
Author(s):  
CarloAlberto Redi
Keyword(s):  
Health Care ◽  
Personalized Medicine ◽  
Health Care System ◽  
Next Generation ◽  
To Come ◽  
Care System ◽  
New Millennium

One of the main precision medicine’s promises is nutrigenomics; still far from being a widespread attitude for the laypeople, it is certainly one of the most challenging aspect of the near to come health care system based on personalized medicine. Thus, we welcome books like this one that is exploring the pre-requisites to get a better health care in the new millennium.....

scholarly journals Use of more than one electronic medical record system within a single health care organization

2012 ◽  
Vol 03 (04) ◽  
pp. 462-474 ◽  
Author(s):  
J. Fellner ◽  
C. Dugowson ◽  
D. Liebovitz ◽  
G. Fletcher ◽  
T. Payne
Keyword(s):  
Health Care ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Health Care Organization ◽  
Electronic Medical Record System ◽  
Healthcare Organization ◽  
Care Organization ◽  
Data Types ◽  
Record System ◽  
Medical Record System

SummaryHealthcare organizations vary in the number of electronic medical record (EMR) systems they use. Some use a single EMR for nearly all care they provide, while others use EMRs from more than one vendor. These strategies create a mixture of advantages, risks and costs. Based on our experience in two organizations over a decade, we analyzed use of more than one EMR within our two health care organizations to identify advantages, risks and costs that use of more than one EMR presents. We identified the data and functionality types that pose the greatest challenge to patient safety and efficiency. We present a model to classify patterns of use of more than one EMR within a single healthcare organization, and identified the most important 28 data types and 4 areas of functionality that in our experience present special challenges and safety risks with use of more than one EMR within a single healthcare organization. The use of more than one EMR in a single organization may be the chosen approach for many reasons, but in our organizations the limitations of this approach have also become clear. Those who use and support EMRs realize that to safely and efficiently use more than one EMR, a considerable amount of IT work is necessary. Thorough understanding of the challenges in using more than one EMR is an important prerequisite to minimizing the risks of using more than one EMR to care for patients in a single healthcare organization. Citation: Payne T, Fellner J, Dugowson C, Liebovitz D, Fletcher G. Use of more than one electronic medical record system within a single health care organization. Appl Clin Inf 2012; 3: 462–474http://dx.doi.org/10.4338/ACI-2012-10-RA-0040

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