Last weekend, In-House Health was thrilled to present at the Nursing Consortium of Florida Inc.’s 2024 conference, focused on discovering the magic at the intersection of technology and nursing. The conference exemplified, NCOF’s goal of providing a space for collaboration to solve nursing workforce issues facing the state of Florida, uniting nurses in practice and academia.
As a nurse-founded AI product, we are passionate about leveraging AI to allow nurses to focus more on patient care and less on administrative burdens, such as weekly scheduling adjustments. Our Director of Growth and Partnerships, Zenith Tillemann-Dick, presented a framework for nursing teams to evaluate AI solutions. Given the fast-moving nature of AI and high stakes in healthcare, it's crucial to ensure new technology is solving the right problems with the right solutions.
One core component of the framework is the importance of clinical insights to developing and structuring new solutions. In-House Health proudly integrates nurses' voices directly into our product development. Our AI model is purpose-built from the ground up to solve nurse staffing challenges through a predictive model for patient census and nurse workload. Our model is trained on diverse and extensive real-world clinical datasets. That training is then validated by a team of bedside nurses who manually review cases ensuring our model remains effective and highly accurate.
#HealthcareInnovation#nursestaffing#Nursing#PatientCare#AIinHealthcare#InHouseHealth#nursing#workforcemanagement
Excellent presentation! Nurse-driven solutions in workforce management are game changers in achieving quality, efficient and exceptional experience for those who receive and provide care.
At this point, it's clear that #GenerativeAI will be a part of the #FutureOfHealthcare, but how exactly it will impact nurses is less obvious. Giles Bruce shares some of the impact #nursing leaders expect it to have, from better inbox management to scanning EHRs to formulating care plans sooner.
No matter how this technology shows up, Becky Kohler rightfully points out that, "It is important that nurses are part of the development and trial of generative AI solutions so that these unique workflows and considerations of nursing practice and licensure are factored in."
#Healthcare#DigitalTransformation
Executive with deep experience in Multi National, Mid Sized and Start Up environments in leadership roles. Proven producer, have built high performing teams and driven numerous products to market leading positions
Artificial Intelligence will prove to be a great aid to nursing and caregivers. Having worked with Fall Prevention technology for over 10 years, one missing piece was the ability of the technology to build predictive capabilities. At TPC we are resellers for helpp.ai, a true breakthrough in the Fall Prevention markets. This technology uses video sensors along with algorithms with built in A.I. The combination of complex video sensing and processing along with A.I., the System recognizes patient movements and movement patterns. When those movements become risky, notifications are sent to a Caregiver. Couple helpps Fall Prevention with CareSights analytics and reporting you have a suite of technology which provides optimal care of the patients and assistance to the Caregivers with Fall Prevention as well as powerful analytics and data review to insure quality improvements.
EVP, Chief Nursing & Clinical Operations Officer, Novant Health | Remarkable Administrator | Professional Caregiver
At this point, it's clear that #GenerativeAI will be a part of the #FutureOfHealthcare, but how exactly it will impact nurses is less obvious. Giles Bruce shares some of the impact #nursing leaders expect it to have, from better inbox management to scanning EHRs to formulating care plans sooner.
No matter how this technology shows up, Becky Kohler rightfully points out that, "It is important that nurses are part of the development and trial of generative AI solutions so that these unique workflows and considerations of nursing practice and licensure are factored in."
#Healthcare#DigitalTransformation
AI is revolutionizing healthcare by improving outcomes and increasing efficiency. Our latest article highlights the critical role of nurse managers in integrating AI into nursing, emphasizing clinical decision-making and real-world applications. Read the full article here: https://ow.ly/7SbC50SByYxNursing Management#AIinNursing#HealthTech#NurseLeaders
Top 20 Voices in AI to Follow l Global AI Transformation Advisor l Best-Selling Author of Hacking Healthcare l Keynote Speaker l Future of Work l Responsible AI champion l Microsoft Alumni
On Monday nurses from across California picketed outside Kaiser Permanente's San Francisco Medical Center to protest the use of AI.
In the past year I’ve presented my views on AI and its impact on nursing to America’s largest nursing association, one of the largest unions representing nurses, leadership from top provider organizations and at a number of nursing conferences.
Regardless of the group my message is always the same:
· AI is one of the greatest issues impacting the future of work for nurses.
(let’s figure this out together).
· Done right AI is not about technology. It’s about empowerment. The rub
here is defining “done right.” This is at the heart of why nurses hit the
picket line in California and why I have predicted for some time that AI
would become a bargaining issue.
· Nurses are among the most important constituents to guide AI-driven
workflow change and shape Responsible AI principles. Period.
If you are a nurse or health leader reading this here’s the question: Are
nurses actively involved in your organization’s efforts to plan/deploy/measure the value of AI applied in care settings?
I’ve had the privilege of working with some great health and medical organizations around the world in planning and implementing AI. A key difference between organizations that use AI to create value-at-scale versus those that spin up a few pilot use cases comes down to this:
Repeatable value comes by involving those on the front lines who drive any process to be improved with AI. These are people who know what isn’t working and are almost always the smartest to know what will.
Comments, different points of view encouraged.
I’ve added/modified a few slides to amplify my message.
T.
#nursing#futureofwork#nursinginformaticsKathleen McGrow, DNP, MS, RN, PMP, FHIMSS, FAANValerie Serwicki MSHI, BSN, RNOlga Kagan, PhD, RN, CIMI, FHIMSSSophia Brown PhD, DBA, FACHE, CPHIMS, PMPRobbie FreemanGil BasheEvan Kirstel B2B TechFluencerIrma Rastegayeva✨Influence Through Storytelling™️Rachel Woods
Rich G Kenny, MMCi, RN - spot on - the key across health and social care is to get the clinicians involved early doors with anything workflow (in the broadest sense) and clinicians and patients in anything monitoring/AI follow up.
Effective clinical practice is and hopefully always will be human centric. AI must augment not replace!
Top 20 Voices in AI to Follow l Global AI Transformation Advisor l Best-Selling Author of Hacking Healthcare l Keynote Speaker l Future of Work l Responsible AI champion l Microsoft Alumni
On Monday nurses from across California picketed outside Kaiser Permanente's San Francisco Medical Center to protest the use of AI.
In the past year I’ve presented my views on AI and its impact on nursing to America’s largest nursing association, one of the largest unions representing nurses, leadership from top provider organizations and at a number of nursing conferences.
Regardless of the group my message is always the same:
· AI is one of the greatest issues impacting the future of work for nurses.
(let’s figure this out together).
· Done right AI is not about technology. It’s about empowerment. The rub
here is defining “done right.” This is at the heart of why nurses hit the
picket line in California and why I have predicted for some time that AI
would become a bargaining issue.
· Nurses are among the most important constituents to guide AI-driven
workflow change and shape Responsible AI principles. Period.
If you are a nurse or health leader reading this here’s the question: Are
nurses actively involved in your organization’s efforts to plan/deploy/measure the value of AI applied in care settings?
I’ve had the privilege of working with some great health and medical organizations around the world in planning and implementing AI. A key difference between organizations that use AI to create value-at-scale versus those that spin up a few pilot use cases comes down to this:
Repeatable value comes by involving those on the front lines who drive any process to be improved with AI. These are people who know what isn’t working and are almost always the smartest to know what will.
Comments, different points of view encouraged.
I’ve added/modified a few slides to amplify my message.
T.
#nursing#futureofwork#nursinginformaticsKathleen McGrow, DNP, MS, RN, PMP, FHIMSS, FAANValerie Serwicki MSHI, BSN, RNOlga Kagan, PhD, RN, CIMI, FHIMSSSophia Brown PhD, DBA, FACHE, CPHIMS, PMPRobbie FreemanGil BasheEvan Kirstel B2B TechFluencerIrma Rastegayeva✨Influence Through Storytelling™️Rachel Woods
Explore how AI is empowering nurses with real-time data for more efficient care, revolutionizing workflows and patient outcomes in the nursing field.
https://hubs.li/Q02qtFz10
As IntelHP, we understand the concerns of nurses in California and beyond regarding AI in healthcare. AI should be a tool for empowerment, not a source of contention. At IntelHP, we advocate for a collaborative approach, ensuring that nurses are not just informed about AI but are active participants in its integration.
By leveraging the insights of those on the front lines, AI can become a catalyst for enhancing patient care and streamlining workflows, rather than a checkbox in technological advancement. Nurses' voices are essential in shaping AI applications that truly resonate with the demands of healthcare.
We invite nurses, health leaders, and all stakeholders to join us in a constructive dialogue. How can we, together, shape an AI-augmented future in healthcare that respects, involves, and elevates the nursing profession?
Let's create a future where AI in nursing isn't just about automation, but about augmentation, support, and above all, patient-centric care.
#AIinHealthcare#Nurses#Empowerment#PatientCare#HealthTech
Top 20 Voices in AI to Follow l Global AI Transformation Advisor l Best-Selling Author of Hacking Healthcare l Keynote Speaker l Future of Work l Responsible AI champion l Microsoft Alumni
On Monday nurses from across California picketed outside Kaiser Permanente's San Francisco Medical Center to protest the use of AI.
In the past year I’ve presented my views on AI and its impact on nursing to America’s largest nursing association, one of the largest unions representing nurses, leadership from top provider organizations and at a number of nursing conferences.
Regardless of the group my message is always the same:
· AI is one of the greatest issues impacting the future of work for nurses.
(let’s figure this out together).
· Done right AI is not about technology. It’s about empowerment. The rub
here is defining “done right.” This is at the heart of why nurses hit the
picket line in California and why I have predicted for some time that AI
would become a bargaining issue.
· Nurses are among the most important constituents to guide AI-driven
workflow change and shape Responsible AI principles. Period.
If you are a nurse or health leader reading this here’s the question: Are
nurses actively involved in your organization’s efforts to plan/deploy/measure the value of AI applied in care settings?
I’ve had the privilege of working with some great health and medical organizations around the world in planning and implementing AI. A key difference between organizations that use AI to create value-at-scale versus those that spin up a few pilot use cases comes down to this:
Repeatable value comes by involving those on the front lines who drive any process to be improved with AI. These are people who know what isn’t working and are almost always the smartest to know what will.
Comments, different points of view encouraged.
I’ve added/modified a few slides to amplify my message.
T.
#nursing#futureofwork#nursinginformaticsKathleen McGrow, DNP, MS, RN, PMP, FHIMSS, FAANValerie Serwicki MSHI, BSN, RNOlga Kagan, PhD, RN, CIMI, FHIMSSSophia Brown PhD, DBA, FACHE, CPHIMS, PMPRobbie FreemanGil BasheEvan Kirstel B2B TechFluencerIrma Rastegayeva✨Influence Through Storytelling™️Rachel Woods
This! 💯
“Nurses are among the most important constituents to guide AI-driven workflow change and shape Responsible AI principles. Period.”
-Tom Lawry from Microsoft
Success = having #nurses at the table
#nursesonlinkedin
Top 20 Voices in AI to Follow l Global AI Transformation Advisor l Best-Selling Author of Hacking Healthcare l Keynote Speaker l Future of Work l Responsible AI champion l Microsoft Alumni
On Monday nurses from across California picketed outside Kaiser Permanente's San Francisco Medical Center to protest the use of AI.
In the past year I’ve presented my views on AI and its impact on nursing to America’s largest nursing association, one of the largest unions representing nurses, leadership from top provider organizations and at a number of nursing conferences.
Regardless of the group my message is always the same:
· AI is one of the greatest issues impacting the future of work for nurses.
(let’s figure this out together).
· Done right AI is not about technology. It’s about empowerment. The rub
here is defining “done right.” This is at the heart of why nurses hit the
picket line in California and why I have predicted for some time that AI
would become a bargaining issue.
· Nurses are among the most important constituents to guide AI-driven
workflow change and shape Responsible AI principles. Period.
If you are a nurse or health leader reading this here’s the question: Are
nurses actively involved in your organization’s efforts to plan/deploy/measure the value of AI applied in care settings?
I’ve had the privilege of working with some great health and medical organizations around the world in planning and implementing AI. A key difference between organizations that use AI to create value-at-scale versus those that spin up a few pilot use cases comes down to this:
Repeatable value comes by involving those on the front lines who drive any process to be improved with AI. These are people who know what isn’t working and are almost always the smartest to know what will.
Comments, different points of view encouraged.
I’ve added/modified a few slides to amplify my message.
T.
#nursing#futureofwork#nursinginformaticsKathleen McGrow, DNP, MS, RN, PMP, FHIMSS, FAANValerie Serwicki MSHI, BSN, RNOlga Kagan, PhD, RN, CIMI, FHIMSSSophia Brown PhD, DBA, FACHE, CPHIMS, PMPRobbie FreemanGil BasheEvan Kirstel B2B TechFluencerIrma Rastegayeva✨Influence Through Storytelling™️Rachel Woods
For all the conversations about positive aspects of #AI in healthcare, this article in Becker's Healthcare points out concerns raised by nurses across the country when it comes to its integration into EHRs. #Nurses on the front lines, focused on patients' best interests, are seeing issues and raising concerns.
Not saying there's anything wrong with AI's integration, but would hope there's real scrutiny and review of the negative attributes to actively adjust programs to ensure patient safety remains the highest priority. #Algorithms tied to patient acuity and nurse staffing levels seem to be a major issue. So many nurses voicing concerns would make me apprehensive.
New technologies help improve efficiencies but can never take the place of the human interaction and care that our nurses and healthcare workers provide.
#integration#healthcare#artificialintelligence#humanconnection
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1moExcellent presentation! Nurse-driven solutions in workforce management are game changers in achieving quality, efficient and exceptional experience for those who receive and provide care.