Summarizing patients like mine via an on-demand consultation service

2021 ◽  
Vol 14 (13) ◽  
pp. 3417-3417
Author(s):  
Nigam Shah
Keyword(s):  
Decision Making ◽  
Patient Care ◽  
Search Engine ◽  
Medical Practice ◽  
Medical Records ◽  
New Paradigm ◽  
Consultation Service ◽  
Design And Implementation ◽  
On Demand ◽  
Time Aware

Using evidence derived from previously collected medical records to guide patient care has been a long-standing vision of clinicians and informaticians, and one with the potential to transform medical practice. We offered an on-demand consultation service to derive evidence from millions of other patients' data to answer clinician questions and support their bedside decision making. We describe the design and implementation of the service as well as a summary of our experience in responding to the first 100 requests. We will also review a new paradigm for a scalable time-aware clinical data search, and to describe the design, implementation, and use of a search engine realizing this paradigm.

scholarly journals Using aggregate patient data at the bedside via an on-demand consultation service

2021 ◽  
Author(s):  
Alison Callahan ◽  
Saurabh Gombar ◽  
Eli M Cahan ◽  
Kenneth Jung ◽  
Ethan Steinberg ◽  
...  
Keyword(s):  
Patient Care ◽  
Information Needs ◽  
Medical Center ◽  
Academic Medical Center ◽  
Patient Data ◽  
Consultation Service ◽  
Institutional Practices ◽  
On Demand ◽  
Medical Centers ◽  
Academic Medical

Using evidence derived from previously collected medical records to guide patient care has been a long standing vision of clinicians and informaticians, and one with the potential to transform medical practice. As a result of advances in technical infrastructure, statistical analysis methods, and the availability of patient data at scale, an implementation of this vision is now possible. Motivated by these advances, and the information needs of clinicians in our academic medical center, we offered an on-demand consultation service to derive evidence from patient data to answer clinician questions and support their bedside decision making. We describe the design and implementation of the service as well as a summary of our experience in responding to the first 100 requests. Consultation results informed individual patient care, resulted in changes to institutional practices, and motivated further clinical research. We make the tools and methods developed to implement the service publicly available to facilitate the broad adoption of such services by health systems and academic medical centers.

Debates in Dysphagia Management: How Do You Use Evidence-Based Practice in Your Dysphagia Patient Care?

2011 ◽  
Vol 20 (4) ◽  
pp. 121-123
Author(s):  
Jeri A. Logemann
Keyword(s):  
Decision Making ◽  
Patient Care ◽  
Clinical Outcomes ◽  
Clinical Judgment ◽  
Clinical Decision Making ◽  
Evidence Based Practice ◽  
Clinical Decision ◽  
Evidence Based ◽  
Clinical Method ◽  
Do So

Evidence-based practice requires astute clinicians to blend our best clinical judgment with the best available external evidence and the patient's own values and expectations. Sometimes, we value one more than another during clinical decision-making, though it is never wise to do so, and sometimes other factors that we are unaware of produce unanticipated clinical outcomes. Sometimes, we feel very strongly about one clinical method or another, and hopefully that belief is founded in evidence. Some beliefs, however, are not founded in evidence. The sound use of evidence is the best way to navigate the debates within our field of practice.

Clinical Judgment Revisited

1999 ◽  
Vol 38 (04/05) ◽  
pp. 279-286 ◽  
Author(s):  
L. L. Weed
Keyword(s):  
Decision Making ◽  
Medical Practice ◽  
Clinical Judgment ◽  
Medical Information ◽  
Patient Records ◽  
Practice Of Medicine ◽  
The Way

AbstractIt is widely recognised that accessing and processing medical information in libraries and patient records is a burden beyond the capacities of the physician’s unaided mind in the conditions of medical practice. Physicians are quite capable of tremendous intellectual feats but cannot possibly do it all. The way ahead requires the development of a framework in which the brilliant pieces of understanding are routinely assembled into a working unit of social machinery that is coherent and as error free as possible – a challenge in which we ourselves are among the working parts to be organized and brought under control.Such a framework of intellectual rigor and discipline in the practice of medicine can only be achieved if knowledge is embedded in tools; the system requiring the routine use of those tools in all decision making by both providers and patients.

The use of a Domain Ontology for the Management of Essential Hypertension (Preprint)

2020 ◽  
Author(s):  
Emma Chavez ◽  
Vanessa Perez ◽  
Angélica Urrutia
Keyword(s):  
Decision Making ◽  
Essential Hypertension ◽  
Medical History ◽  
Medical Records ◽  
Medical Training ◽  
Relevant Information ◽  
Domain Ontology ◽  
Free Text ◽  
Snomed Ct ◽  
History Of

BACKGROUND : Currently, hypertension is one of the diseases with greater risk of mortality in the world. Particularly in Chile, 90% of the population with this disease has idiopathic or essential hypertension. Essential hypertension is characterized by high blood pressure rates and it´s cause is unknown, which means that every patient might requires a different treatment, depending on their history and symptoms. Different data, such as history, symptoms, exams, etc., are generated for each patient suffering from the disease. This data is presented in the patient’s medical record, in no order, making it difficult to search for relevant information. Therefore, there is a need for a common, unified vocabulary of the terms that adequately represent the diseased, making searching within the domain more effective. OBJECTIVE The objective of this study is to develop a domain ontology for essential hypertension , therefore arranging the more significant data within the domain as tool for medical training or to support physicians’ decision making will be provided. METHODS The terms used for the ontology were extracted from the medical history of de-identified medical records, of patients with essential hypertension. The Snomed-CT’ collection of medical terms, and clinical guidelines to control the disease were also used. Methontology was used for the design, classes definition and their hierarchy, as well as relationships between concepts and instances. Three criteria were used to validate the ontology, which also helped to measure its quality. Tests were run with a dataset to verify that the tool was created according to the requirements. RESULTS An ontology of 310 instances classified into 37 classes was developed. From these, 4 super classes and 30 relationships were obtained. In the dataset tests, 100% correct and coherent answers were obtained for quality tests (3). CONCLUSIONS The development of this ontology provides a tool for physicians, specialists, and students, among others, that can be incorporated into clinical systems to support decision making regarding essential hypertension. Nevertheless, more instances should be incorporated into the ontology by carrying out further searched in the medical history or free text sections of the medical records of patients with this disease.

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