CIO Business Intelligence

DECEMBER 11, 2023

You have to balance the potential benefits of generative AI with significant, important operational issues, such as ensuring patient data privacy and complying with regulatory requirements. Any and all activities that focus on improving patient data, processes and communications are prime for improvement.

Unstructured Data 70

Unstructured Data Interactive Data-driven Consulting 70

ScienceSoft

DECEMBER 27, 2023

We show the way into transforming abstract patient engagement concept into a measurable value unlocking multiple opportunities for healthcare providers.

Measurement 52

Measurement Analytics 52

Analytics Vidhya

APRIL 26, 2024

Introduction Artificial Intelligence technology is reshaping treatment, patient care and diagnosis in the healthcare industry. Healthcare professionals can now offer patients individualized, effective, and precise care because to developments in artificial intelligence.

Technology 184

Technology Analytics 184

Cloudera

MARCH 28, 2023

This has ushered in a new era of precision healthcare focused on the uniqueness of each patient and the multitude of variables that factor into more precise and effective detection and treatment regimens. Data is also used to identify the most effective treatments for each patient. What is Precision Healthcare?

Machine Learning 66

Machine Learning Data-driven Risk Strategy 66

Smart Data Collective

DECEMBER 17, 2020

One of them entails new communication systems that help with the patient experience. Effective communication between medical staff and a patient is a foundation for the delivery of patient-centered care. This article will discuss how big data EHR adoption impacts the patient experience and what benefits it brings.

Data-driven 118

Data-driven Big Data Software Risk 118

CIO Business Intelligence

JUNE 9, 2022

University Hospitals of Leicester NHS Trust is one of the biggest and busiest NHS Trusts, routinely treating over 750 patients a day in emergency departments, employing 15,000 staff and serving roughly a million residents in Leicester, Leicestershire and Rutland, and millions further afield. It’s back to us being an enabler.”.

Digital Transformation 95

Digital Transformation Consulting Experimentation Data-driven 95

IBM Big Data Hub

OCTOBER 2, 2023

Embedding IBM AI capabilities to drive the digital front door to Ovum’s network After evaluating many products and partners, Ovum turned to the IBM Ecosystem and IBM watsonx Assistant to build transformative digital service wherever patients might be.

Insurance 94

Insurance ROI Interactive Testing 94

DataRobot

APRIL 1, 2020

Our objective is to predict the severity of a COVID-19 patient at time of hospital admission , to provide a second opinion to the triaging officer, so that more resources can be accurately allocated to a serious case [1].

Data Science 105

Data Science 105

CIO Business Intelligence

JUNE 13, 2022

When you focus on the data that you have in hospitals, all the patient details, it’s just massive, much more than in a retail company or a manufacturer. If you look at a chart that lists the patients, you will see colors next to them. Green means the patient is okay. And that’s how I see this system.

Data Warehouse 98

Data Warehouse Software Manufacturing Machine Learning 98

Analytics Vidhya

MARCH 7, 2024

The collaboration aims to enhance efficiency and patient care across America. Cognizant and Microsoft have united to integrate generative AI into healthcare administration. It promises innovative solutions to streamline processes and improve outcomes across the healthcare industry.

Analytics 323

Analytics IT 323

Analytics Vidhya

JANUARY 31, 2023

Introduction Big data is revolutionizing the healthcare industry and changing how we think about patient care. In this case, big data refers to the vast amounts of data generated by healthcare systems and patients, including electronic health records, claims data, and patient-generated data.

Big Data 306

Big Data Management Analytics 306

Analytics Vidhya

JUNE 27, 2023

Detecting delirium in critically ill patients is a complex task with significant implications for patient care and recovery. However, advancements in artificial intelligence (AI) and rapid-response electroencephalograms (EEGs) are transforming delirium detection.

Publishing 294

Publishing Analytics Deep Learning 294

Analytics Vidhya

MAY 2, 2023

Chatbots have emerged as a promising tool to help patients access medical advice and support. A new study conducted by the University of California San Diego (UCSD) reveals that ChatGPT, an AI-powered chatbot, outperformed doctors in providing empathetic responses to patients.

Analytics 271

Analytics 271

Analytics Vidhya

APRIL 28, 2023

Introduction Predicting patient outcomes is critical to healthcare management, enabling hospitals to optimize resources and improve patient care. Machine learning algorithms or deep learning techniques have proven valuable in survival prediction rates, offering insights that can help guide treatment plans and prioritize resources.

Deep Learning 271

Deep Learning Machine Learning Optimization Management 271

Analytics Vidhya

NOVEMBER 30, 2023

In recent years, AI integration in healthcare has innovated diagnostics, treatment planning, and patient engagement. GPT-4 emerges as a game-changer, demonstrating potential in radiology’s natural language tasks.

Analytics 303

Analytics 303

Analytics Vidhya

OCTOBER 25, 2023

Explainable AI aims to make machine learning models more transparent to clients, patients, or loan applicants, helping build trust and social acceptance of these systems. Introduction In today’s data-driven world, machine learning is playing an increasingly prominent role in various industries.

Modeling 306

Modeling Machine Learning Data-driven Analytics 306

Analytics Vidhya

OCTOBER 12, 2023

This innovation promises to transform how patient data is accessed and medical queries are answered. In a groundbreaking announcement at HLTH 2023, Google has set the stage for a revolution in the healthcare industry by introducing Vertex AI Search capabilities tailored for health and life sciences providers.

Analytics 304

Analytics 304

bridgei2i

JULY 9, 2020

BRIDGEi2i’s data scientists have developed a COVID-19 dashboard specific to India indicating hotspots, patient travel history and patient relationship with an easy to use interface. Despite an intensive two-month long nationwide lockdown, the figures now stand at over 250,000 cases with close to 7,500 deaths.

Dashboards 52

Dashboards Testing Enterprise Analytics 52

Analytics Vidhya

FEBRUARY 1, 2023

The main reasons for misdiagnosis are a lack of experienced doctors, lack of time with patients, lack of resources, etc. Because many diseases have similar symptoms, which is difficult for doctors to give accurate results.

Predictive Analytics 399

Predictive Analytics Analytics Technology Forecasting 399

Analytics Vidhya

OCTOBER 19, 2022

COVID-19 (Coronavirus Disease 2019) has had devastating effects on humanity, making early detection in patients imperative for its treatment. Introduction Cough Audio analysis, one of the breakthroughs of AI in healthcare, often proves valuable in diagnosing respiratory and lung diseases. Cough sound analysis is […].

Data Science 399

Data Science Publishing Analytics IT 399

Analytics Vidhya

AUGUST 7, 2022

Blockchain gained popularity in the last decade for developing cryptocurrency exchanges, maintaining a foolproof medical history of patients, and immutable education records. Introduction Blockchain ecosystem has enabled us with a new way of perceiving, storing, and sharing data based on the concept of peer-to-peer technologies.

Technology 388

Technology Analytics IT 388

Analytics Vidhya

JULY 27, 2023

Tech giants like Amazon, Google, & Microsoft lead the charge, launching innovative AI-powered solutions to transform patient care & optimize healthcare processes. Integrating artificial intelligence (AI) into the healthcare industry is becoming increasingly prevalent in an era of technological advancements.

Optimization 271

Optimization Technology Analytics 271

Analytics Vidhya

JUNE 7, 2023

Carbon Health, a leading modern healthcare company, has made a groundbreaking announcement that is set to transform the way medical professionals document patient visits. With the launch of AI charting, an innovative feature integrated into its Electronic Health Records (EHR) platform, Carbon Health is revolutionizing the healthcare industry.

IT 284

IT Technology Analytics 284

Analytics Vidhya

JUNE 7, 2023

With hypertension being a leading cause of death, stroke, and chronic heart failure, finding the most effective medication for each patient has been challenging. Hypertension, a silent killer affecting millions of Americans, could see a major breakthrough in treatment thanks to an innovative artificial intelligence (AI) program.

Machine Learning 283

Machine Learning Data-driven Modeling Analytics 283

Analytics Vidhya

JUNE 6, 2023

Researchers have recently made groundbreaking progress in the field of machine learning (ML) by developing methods that accurately identify predictors associated with fetal heart rate changes in pregnant patients undergoing neuraxial analgesia.

Machine Learning 282

Machine Learning Publishing Management Analytics 282

Analytics Vidhya

APRIL 4, 2022

Introduction Nowadays, Machine learning is being used in various areas in the health business, including the development of improved medical processes, the management of patient records and data, and the treatment of chronic diseases. This article was published as a part of the Data Science Blogathon.

Machine Learning 392

Machine Learning Data Science Publishing Management 392

CDW Research Hub

MAY 13, 2019

With the increasing popularity of telehealth services and smart remote-monitoring devices, doctor-patient relationships have new tools for communication, diagnosis and monitoring, and the implications for patient care are significant. The post Patient Care in the Cloud appeared first on Sirius Computer Solutions.

Reporting 40

Reporting Technology Management IT 40

Analytics Vidhya

JANUARY 4, 2022

Overview In this article, we will be predicting that whether the patient has diabetes or not on the basis of the features we will provide to our machine learning model, and for that, we will be using the famous Pima Indians Diabetes Database. This article was published as a part of the Data Science Blogathon. Image […].

Machine Learning 400

Machine Learning Data Science Publishing Modeling 400

Analytics Vidhya

FEBRUARY 4, 2023

One of the most promising areas within AI in healthcare is Natural Language Processing (NLP), which has the potential to revolutionize patient care by facilitating more efficient and accurate data analysis and communication.

Analytics 284

Analytics Deep Learning 284

Analytics Vidhya

APRIL 14, 2023

Imagine a world where predicting a patient’s risk of developing insomnia or other sleep disorders becomes as simple as analyzing their demographic, lifestyle, and health data. Thanks to an innovative medical study, we can now use Machine Learning (ML) models to predict insomnia accurately.

Modeling 266

Modeling Machine Learning Risk Technology 266

O'Reilly on Data

MARCH 9, 2021

Here are some key indicators: Attempts to train models to predict the pain that Black patients will suffer as a result of medical procedures have largely failed. Fortunately, the doctors modeling medical pain decided to listen to their Black patients; unfortunately, that kind of listening is still rare.

Modeling 363

Modeling Publishing Risk Reporting 363

ScienceSoft

OCTOBER 21, 2016

No more abstract patient engagement talks. Healthcare data analytics shows the way into transforming the level of patients' involvement in their health into a measurable value.

Measurement 61

Measurement Analytics Data Analytics 61

CIO Business Intelligence

FEBRUARY 28, 2024

Using these models, healthcare providers can test drugs and therapies with unprecedented speed and accuracy, reducing risks for both patients and physicians. Ultimately, this technology promises to improve patient outcomes and reduce the burden on our healthcare systems.

Informatics 115

Informatics Data-driven Digital Transformation Predictive Analytics 115

datapine

MARCH 8, 2021

Healthcare reports can help reduce errors, enhance the acquisition of vital patient data, reduce needless expenditure, and improve healthcare processes exponentially. According to the World Health Organization, there is a one in 300 chance of a patient being harmed due to a healthcare-related administrative error.

Reporting 198

Reporting KPI Management Cost-Benefit 198

TDAN

APRIL 16, 2019

The physician job has become less and less focused on patients, and more and more preoccupied with the administrative and data-entry tasks that require attention and time.

Data Strategy 55

Data Strategy Data Architecture Business Intelligence Big Data 55

CIO Business Intelligence

FEBRUARY 1, 2024

Use cases in the healthcare sector centre on freeing up time for clinicians so they can spend more quality time with patients. Generative AI will be a game changer for healthcare, freeing staff of time-consuming tasks and improving the service provided for patients.

Experimentation 110

Experimentation Forecasting Measurement Cost-Benefit 110

CIO Business Intelligence

MARCH 7, 2024

Marlowitz selected another one of Salesforce’s industry clouds — Health Industry Cloud — to get to market quickly and lower the cost of ownership, says Marlowitz, whose division services 300 patient care centers across the US. That schema and structure existed in Salesforce, so we did not have to bolt onto some proprietary data model.

Enterprise 133

Enterprise Software Testing Interactive 133