Ask the Experts

Ask the Experts

• Overcoming struggles to define algorithmic fairness in healthcare

  Medical ethicists posit that there is no one-size-fits-all definition of fairness for healthcare AI, necessitating a more nuanced, collaborative approach.  Continue Reading

• Using large language models to protect pediatric health information

  Generative AI, such as large language models, may help tackle privacy and security concerns that can lead to pediatric data disclosures.  Continue Reading

• How Data-Informed Risk Stratification Can Support Suicide Prevention

  Provider organizations play a key role in suicide prevention, and one health system shows how effective risk stratification can drive these efforts.  Continue Reading

• Using Analytics Tools to Drive Care Coordination for Wildfire Victims

  Analytics-driven population health management strategies may help healthcare organizations tackle the persistent care challenges posed by wildfires.  Continue Reading

• Exploring the National Academy of Medicine’s AI Code of Conduct

  How does the National Academy of Medicine’s Artificial Intelligence Code of Conduct fit into the growing patchwork of healthcare AI governance efforts?  Continue Reading

• Healthcare Stakeholders Plan to Prioritize AI, Analytics This Year

  Cedars-Sinai, Emory Healthcare, and Johns Hopkins Technology Ventures leaders share their top AI priorities in the new year.  Continue Reading

• Top Health IT Analytics Predictions, Priorities for This Year

  Health IT analytics and artificial intelligence experts say that healthcare organizations should focus on AI governance, transparency, and collaboration in 2024.  Continue Reading

• How Will Biden's Executive Order on Trustworthy AI Impact Healthcare?

  Legal experts detail how Biden’s executive order on safe, secure, and trustworthy artificial intelligence will impact AI regulation in healthcare.  Continue Reading

• Can Digital Twin Neighborhoods Help Tackle Health Disparities?

  Cleveland Clinic and MetroHealth are building digital twins to better understand how patients’ neighborhoods impact their health outcomes.  Continue Reading

• How Can Medical Schools Educate Students on Artificial Intelligence?

  The University of Texas has developed the first dual degree program in the United States to prepare medical students to work with artificial intelligence.  Continue Reading

• Exploring a Framework for Pediatric Data Use in Health AI Research

  The ACCEPT-AI framework provides recommendations for the safe inclusion of pediatric health data in AI and ML research.  Continue Reading

• Exploring the Role of Cleveland Clinic’s First Chief Analytics Officer

  Albert Marinez, Cleveland Clinic’s first chief analytics officer, describes his plan for prioritizing analytics across the enterprise.  Continue Reading

• Will Clinicians Become Dependent on Artificial Intelligence Tools?

  Providers from Sentara and UC San Diego Health weigh in on whether clinicians will come to rely too heavily on AI and what to do about it.  Continue Reading

• The Clinical Promise and Ethical Pitfalls of Electronic Phenotyping

  Healthcare big data mining can provide valuable insights into a patient’s health but may reveal non-disclosed information, raising concerns about patient privacy.  Continue Reading

• How Can Predictive Analytics Help ACOs Boost Value-Based Care Delivery?

  Experts discuss how predictive modeling and an analytics partnership helped one accountable care organization advance its goal of “keeping patients healthy at home.”  Continue Reading

• Exploring Mayo Clinic’s AI Efforts to Enhance Organ Transplants

  Mayo Clinic experts share how the health system is researching and developing artificial intelligence tools to improve organ transplant outcomes.  Continue Reading

• Investigating Use Cases for AI, IT Tools in Emergency Medical Services

  EMS professionals could benefit from incorporating IT and AI solutions into workflows, but organizations must first identify appropriate use cases.  Continue Reading

• Exploring the Role of Artificial Intelligence in Anesthesiology

  AI shows promise in anesthesiology, but experts agree that leveraging the technology effectively requires a collaborative approach to ensure patient safety.  Continue Reading

• Using AI to Support Healthcare Amid a Mental Health Provider Shortage

  AI tools cannot replace mental health providers, but they may be able to help close gaps and address dips in care quality by supporting the existing workforce.  Continue Reading

• How Elevance Health, MVP Health Care Are Leveraging Data Analytics

  The two payers share how they leverage data analytics, predictive modeling, and data quality frameworks to improve outcomes for members.  Continue Reading

• How NorthShore Uses AI, NLP to Tackle SDOH in the Emergency Department

  NorthShore – Edward-Elmhurst Health is using natural language processing in the emergency department to minimize care disparities and improve health equity.  Continue Reading

• Leveraging Artificial Intelligence to Support Medication Adherence

  Researchers are exploring how AI could enhance medication adherence, but considerations to prevent bias and system misuse are critical.  Continue Reading

• How Risk Stratification Can Help Combat Preterm Birth Disparities

  Parkland Center for Clinical Innovation is identifying at-risk pregnancies and addressing premature birth disparities through analytics-based risk stratification.  Continue Reading

• How ACOs Use Data Analytics to Improve Outcomes, Reduce Financial Risk

  Experts from two accountable care organizations discuss how data analytics helps bolster high-quality care delivery and effective healthcare dollar spending.  Continue Reading

• How AI, Digital Screening Tools Can Help Flag Early Cognitive Decline

  A new pilot program is leveraging AI-based digital screening tools to drive early detection of cognitive impairment in the primary care setting.  Continue Reading

• Exploring Data De-Identification in Healthcare

  A healthcare data expert discusses the nuances of data de-identification in healthcare, including HIPAA compliance, connected devices, and the role of AI.  Continue Reading

• How a Digital ‘Baseball Card’ Supports Care Management

  Medical Home Network’s ‘baseball card’ technology aims to support care management and population health by bolstering interoperability among providers.  Continue Reading

• Using Artificial Intelligence for Aneurysm Rupture Risk Monitoring

  Clinicians are leveraging artificial intelligence to measure cerebral aneurysms and stratify rupture risk to enhance clinical decision-making and improve outcomes.  Continue Reading

• Using a Patient-Reported Outcome Tool to Make EHR Data Actionable

  American Orthopedic Partners is leveraging a new tool to unify and consolidate data from disparate EHRs in an effort to make it actionable for providers.  Continue Reading

• Exploring Decentralized Architecture Networks in Healthcare

  Experts from Sentara Healthcare outline decentralized architecture networks and data fluidity, sharing how these can be used to tear down healthcare data silos.  Continue Reading

• How Does the White House AI Bill of Rights Apply to Healthcare?

  Experts from Mayo Clinic Platform and DLA Piper weigh in on how the White House’s Blueprint for an AI Bill of Rights may impact healthcare and health AI regulation.  Continue Reading

• Mass General, Mayo Clinic, & More Share AI, Analytics Plans for Next Year

  Mass General Brigham, Mayo Clinic, Mount Sinai, and Cleveland Clinic leaders share their top artificial intelligence priorities moving into the new year.  Continue Reading

• Leveraging Location Analytics to Address the Opioid Epidemic

  The Stark County Health Department has launched an initiative to coordinate its opioid epidemic outreach using a geographic information system and location analytics.  Continue Reading

• Using AI to Streamline the Provider-Payer Relationship

  A provider and payer share how an artificial intelligence-based platform helps them improve their information exchange and streamline utilization management.  Continue Reading

• How a Data-Driven Command Center Can Improve ED Outcomes

  AdventHealth's data-driven command center is allowing the health system to improve emergency department outcomes through bed capacity management.  Continue Reading

• Leveraging a Technology Accelerator to Drive Addiction Treatment Success

  Cumberland Heights is using a ‘technology accelerator’ to gain insights into the drivers of enhanced patient outcomes and improved treatment practices for substance use disorders.  Continue Reading

• Achieving Clinician Buy-In to Drive AI Adoption in OR Scheduling

  Leaders from two healthcare provider organizations share how they achieved clinician buy-in and leveraged it to drive AI adoption for OR scheduling and hospital operations improvement.  Continue Reading

• How Children's of Alabama Uses Real-Time Analytics to Support ICU Liberation

  Children’s of Alabama is tackling patient deterioration, addressing extubation readiness, and leveraging code event reviews using real-time analytics in its cardiovascular ICU.  Continue Reading

• How Actionable Patient Genomic Data Can Boost Precision Medicine

  Frederick Health is leveraging integrated genomic data within patient records to enhance precision medicine and clinical decision-making.  Continue Reading

• Using Self-Reported Patient Data to Advance Lung Disease Care

  The Pulmonary Fibrosis Foundation is leveraging self-reported patient data to support clinical care and research for pulmonary fibrosis and interstitial lung diseases.  Continue Reading

• How AI Can Help Alleviate Black Maternal Health Disparities

  Artificial intelligence tools are creating many new opportunities and improvements in maternal health, but SDOH data collection must be improved to address inequities within Black communities.  Continue Reading

• Leveraging Data Analytics, Clinical Intelligence to Bolster Perioperative Care

  Saint Luke’s Hospital of Kansas City has turned to data analytics and intelligent automation to enhance perioperative care while reducing staff workload.  Continue Reading

• How Limitations in AI, Wearables Impact Depression Research

  Utilizing artificial intelligence and wearables in the mental health space, particularly for depression and anxiety, is an exciting prospect for many, but multiple hurdles still stand in the way.  Continue Reading

• Using Data Analytics to Improve Primary Care, Referral Management

  Primary care facilities, often the first point of contact for many patients, may be hampered by outdated and inefficient processes, but data analytics can provide a potential solution.  Continue Reading

• How Intelligent Automation Can Help Close Care Gaps, Boost Patient Outreach

  Closing care gaps presents a major challenge for many healthcare providers, but intelligent automation can help by reducing clinician workload and fostering patient engagement.  Continue Reading

• Using Real-World Data to Improve Cancer Care Delivery, Precision Medicine

  Real-world data can help cancer researchers unlock key insights, including those related to underrepresentation in clinical trials, that have the potential to significantly improve the quality of care delivery in precision medicine.  Continue Reading

• How Data Analytics Can Help Breast Milk Banks Be More Efficient

  Data analytics can help breast milk banks reduce waste, maintain high-quality standards, and increase milk donations over time, enabling providers to provide adequate care to infants.  Continue Reading

• How to Create a Healthcare Data Culture

  Data management, governance, and analysis are critical for healthcare providers to deliver high-quality care and improve patient outcomes, and a data culture can help.  Continue Reading

• Using Data to Quantify a Key Pandemic SDOH: Social Isolation

  A company that helps providers and payers assess social risk has created a metric to help organizations understand how social isolation and loneliness impact communities across the country.  Continue Reading

• Value of an Evidence-Based AI Development and Deployment Approach

  Taking notes from the evidence-based medicine movement, an evidence-based AI development and deployment approach could revolutionize AI practices in healthcare.  Continue Reading

• Responsible AI Deployment in Healthcare Requires Collaboration

  Leaders from Duke, Mayo Clinic, and DLA Piper discuss the need for cross-functional collaboration and industry standards to enable responsible AI deployment in healthcare.  Continue Reading

• How Unified Patient Records Support Whole-Person Care

  Working with Innovaccer, Franciscan Health is creating unified patient records to enhance whole-person care practices, like personalized treatment.  Continue Reading

• How Machine Learning Can Guide COVID-19 Decision-Making

  Developed by Regenstrief Institute investigators, a new machine-learning algorithm can help stakeholders make decisions on resources and policy regarding the COVID-19 pandemic.  Continue Reading

• What Are the Benefits of Natural Language Processing Technology?  

  Using natural language processing technology, researchers can sort through unstructured data to improve patient care, research efforts, and disease diagnosis.    Continue Reading

• Prioritizing Data Analytics, Value-Based Care Strategies at Nemours 

  Nemours Children’s prioritized improvements to its data analytics and value-based care strategies in 2021.   Continue Reading

• How CVS Health Uses NCCN Guidelines to Advance Precision Medicine

  By following NCCN guidelines, CVS Health is enhancing its oncology platform and precision medicine efforts to provide better patient care.  Continue Reading

• Ethical Artificial Intelligence Standards To Improve Patient Outcomes

  Intermountain Healthcare developed ethical artificial intelligence standards for deploying the technology to identify care disparities and improve patient outcomes.  Continue Reading

• Developing Recommended Practices For Analyzing EHR Databases

  Researchers are creating a set of recommended practices to use when analyzing electronic health record databases, improving patient outcomes.  Continue Reading

• Integrating Social Determinants of Health Into Risk Prediction Models

  A new study uses social determinants of health in risk prediction models to determine the likelihood of patient referral to a social worker and hospital admission.  Continue Reading

• How Health Systems Implement Ethical Artificial Intelligence

  Sanford Health’s artificial intelligence ethical principles are in line with AI guidance released by WHO.  Continue Reading

• Building a Data Analytics Platform to Improve Efficiency, Outcomes

  Dayton Children’s Health Partners is building a data aggregation platform to improve efficiency and patient outcomes.  Continue Reading

• AI-Based Natural Language Processing Advances Precision Medicine

  Washington University School of Medicine is improving precision medicine research with the adoption of artificial intelligence-based natural language processing tools.  Continue Reading

• Data Analytics, Artificial Intelligence Lower Hospital Infections

  By switching to a data analytics and AI-powered hygiene monitoring system, Novant Health decreased its number of hospital-acquired infections.  Continue Reading

• Identifying Disease with Natural Language Processing Technology

  A Kaiser Permanente study illustrates the value of AI-based natural language processing technology in disease diagnosis.  Continue Reading

• Data Management Improves Care Quality, Reduces Health Disparities

  Health Center Partners look to improve their care quality and eliminate health disparities through effective data management.  Continue Reading

• Why Genetic Testing Is Key to Advancing Precision Medicine

  Increased genetic testing is essential to improving the health of senior populations using precision medicine.  Continue Reading

• Improving Cancer Treatment, Patient Outcomes with Genomic Testing

  NYU Langone’s genomic testing has led to improvements in cancer treatments and patient outcomes.  Continue Reading

• Data Analytics Addresses SDOH, Improves Length of Stay Rates

  Parkview Medical Center partnered with Pieces Technology to use data analytics to identify social determinants of health and decrease length of stay rates.  Continue Reading

• Predictive Analytics Helps Providers Address Total Cost of Care

  The clinically integrated network implemented predictive data analytics to create a total cost of care plan, improving care quality.  Continue Reading

• Using HCC Coding, Risk Stratification to Enhance Patient Outcomes

  Community Health Network implemented HCC coding and risk stratification to improve patient outcomes.  Continue Reading

• How Data Analytics Helped Flag Pediatric Care Gaps During COVID-19

  Data analytics helped the hospital recognize a decline in well-child visits and vaccination rates early in the COVID-19 pandemic.  Continue Reading

• How Data Analytics Helped Providence St. Joseph Address Care Delays

  The chief medical analytics officer at Providence St. Joseph Health Center shares how hospital data suggested care delays during COVID-19 and how the system address patient concerns.  Continue Reading

• Improving Social Determinants of Health with Predictive Analytics

  UnitedHealthcare launched a predictive analytics advocacy program to improve care by addressing the social determinants of health.  Continue Reading

• How Big Data Insights Can Lead to Better Mental Healthcare

  Using big data collected from different public systems, California's Mental Health Services Oversight and Accountability Commission delivers enhanced mental healthcare.  Continue Reading

• Using Real-Time Data Analytics to Enhance Care in the NICU

  Real-time data analytics tools help providers at Stanford Children’s Health deliver comprehensive, compassionate care to newborns.  Continue Reading

• Implementing a Precision Medicine Strategy to Improve Cancer Care

  Researchers at Karmanos Cancer Institute are leveraging precision medicine approaches to deliver more comprehensive cancer care.  Continue Reading

• Leveraging Data Visualization Tools to Promote Health Equity

  Hennepin Healthcare is supporting health equity by combining social determinants information and data visualization tools.  Continue Reading

• Using Data Analytics to Enhance Patient Engagement, Outreach

  Community Health Network leveraged data analytics solutions to reduce appointment no-shows, conduct post-discharge outreach, and improve patient engagement.  Continue Reading

• Supporting Equitable Vaccine Distribution with EHR Data

  Leaders at Jefferson Health are leveraging EHR data to develop strategies around equitable vaccine distribution.  Continue Reading

• How a Unified Big Data Infrastructure Can Boost Population Health

  Lee Health is working to unify information from clinical systems, claims, labs, and more to build a big data infrastructure and enhance population health management.  Continue Reading

• At Intermountain, Predictive Analytics Boost COVID-19 Outcomes

  To forecast patient risk and curb poor COVID-19 outcomes, Intermountain Healthcare is turning to the power of predictive analytics tools.  Continue Reading

• Ensuring Health Data Collection Protects Patient Privacy, Equity

  The COVID-19 pandemic has increased health data collection efforts, resulting in the need for a new regulatory framework that supports patient privacy and equity.  Continue Reading

• How Machine Learning Enables Clinical Forecasting, Visualization

  At Carnegie Mellon University, researchers have developed a reproducible machine learning tool to facilitate clinical predictions and data visualization.  Continue Reading

• Collecting Big Data to Eliminate Rural Health Disparities

  As part of a six-year study, researchers will collect big data to better understand rural health disparities.  Continue Reading

• How a Digital Platform Provides Genomic Data at the Point of Care

  NorthShore University HealthSystem has built a digital platform that delivers genomic data to providers at the point of care.  Continue Reading

• Building a Predictive Analytics Tool to Triage COVID-19 Patients

  Feinstein Institutes researchers worked alongside clinicians to develop a predictive analytics algorithm that identifies COVID-19 patients at high risk of respiratory failure.  Continue Reading

• Using Predictive Analytics to Stay Ahead of Patient Deterioration

  Researchers from Michigan Medicine and Fifth Eye have developed a predictive analytics tool that can alert providers which patients are at risk of deteriorating.  Continue Reading

• How Real-Time Data Informs Decision-Making During COVID-19

  Providence’s DetectionMap uses real-time data extracted from the EHR to show COVID-19 prevalence at the neighborhood level.  Continue Reading

• Sharing Medical Imaging Data to Enhance Care Quality, Efficiency

  Carequality and the Radiological Society of North America have started an initiative to share medical imaging data and improve care quality during the COVID-19 pandemic.  Continue Reading

• Combating COVID-19 Misinformation with Predictive Analytics

  Students at the Medical University of South Carolina are using a predictive analytics-based vulnerability map to conduct educational interventions for high-risk patients.  Continue Reading

• Working Toward Seamless Care Delivery with Real-Time Data

  Together with Google Cloud, Highmark Health is working to eliminate fragmentation from care delivery using a real-time data platform.  Continue Reading

• Why Interoperability is Key to Social Determinants of Health Efforts

  At the Alliance for Better Health, an interoperable digital platform is connecting providers and community leaders to effectively address individuals’ social determinants of health.  Continue Reading

• Delivering Proactive Mental Healthcare With Artificial Intelligence

  At the Center for Cancer and Blood Disorders in Texas, leaders are using artificial intelligence to proactively manage mental health in patients with cancer.  Continue Reading

• How Real-World Data Can Help Eliminate Cancer Care Disparities

  A new initiative directed by experts from academic, pharmaceutical, and healthcare organizations will leverage real-world data to reduce cancer care disparities.  Continue Reading

• Leveraging Artificial Intelligence to Reduce Clinician Burnout

  Providence health system is using an artificial intelligence solution to alleviate clinician burnout and improve the care experience.  Continue Reading

• Supporting Secure Data Sharing, Patient Privacy During COVID-19

  Regenstrief Institute is partnering with NIH and other organizations to promote secure data sharing and enhance research related to COVID-19.  Continue Reading

• How Organizations Can Integrate Precision Medicine with Clinical Care

  To effectively bring precision medicine into routine clinical care, organizations need to overcome barriers related to cost, workflows, and patient and physician education.  Continue Reading

• How Social Determinants Data Can Enhance Machine Learning Tools

  Regenstrief researchers incorporated social determinants of health data into a machine learning algorithm to improve its performance.  Continue Reading

• Predicting COVID-19 Outcomes with Artificial Intelligence, EHR Data

  A simple artificial intelligence model analyzes EHR data to accurately predict which patients will have good outcomes from COVID-19.  Continue Reading

• Using Machine Learning to Calculate Unreported COVID-19 Cases

  Researchers at the Chan Zuckerberg Biohub are leveraging machine learning to estimate the number of undetected COVID-19 cases.  Continue Reading