Overcoming Barriers to Scale in Digital TherapeuticsChris Hogg
Presentation at Clinically Validated DTx Conference in Boston (November 2019). What paths have DTx products taken toward commercialization, what are the barriers, what is changing?
Building a Data Warehouse at Clover (PDF)Otis Anderson
A brief tour of why we focused on building out a data warehouse early on at Clover, and why we think the Data Science function has room to grow in health insurance.
A brief tour of why we focused on building out a data warehouse early on at Clover, and why we think the Data Science function has room to grow in health insurance.
Overcoming Barriers to Scale in Digital TherapeuticsChris Hogg
Presentation at Clinically Validated DTx Conference in Boston (November 2019). What paths have DTx products taken toward commercialization, what are the barriers, what is changing?
Building a Data Warehouse at Clover (PDF)Otis Anderson
A brief tour of why we focused on building out a data warehouse early on at Clover, and why we think the Data Science function has room to grow in health insurance.
A brief tour of why we focused on building out a data warehouse early on at Clover, and why we think the Data Science function has room to grow in health insurance.
Presentation covers basics of Big Data & its potential uses in healthcare. Data is growing & moving faster day by day. Getting access to this valuable data & factoring it into clinical & advanced analytics is critical to improve care. So there must be analysis of big data to make effective decisions.
The Hive Think Tank: Unpacking AI for Healthcare The Hive
In this The Hive Think Tank talk, Ash Damle, CEO of Lumiata takes a deep dive into Lumiata’s core technological engine - the Lumiata Medical Graph, which applies graph-based machine learning to compute the complex relationships between health data in the same way that a physician would, and how this medical AI engine powers personalization and automation within risk and care management.
"12 Steps to Better Healthcare" is filled with ideas that you can use right away to improve the efficiency and effectiveness of your healthcare organization. These steps can help you save time, money and lives, as you take part in the rebuilding of our healthcare system from the ground up.
Our Journey to Release a Patient-Centric AI App to Reduce Public Health CostsDatabricks
Health costs are exploding year by year. Thanks to Artificial Intelligence it is possible to address patient needs in a cost-efficient manner.
In the case we will present, we will demonstrate how as part of a telemedicine service we implemented a solution allowing to reduce triage cost of patients by leveraging AI. The app we developed not only allowed to reduce cost but is significantly improving the patient experience.
Using Big Data to Drive Diabetes Management and CareEMMAIntl
A chronic disease that has affected many people in the US is Diabetes. Based on the 2020 statistical report from Diabetes Research Institute Foundation, the number of people suffering from Diabetes is 34.2 million people which is 10.5% of the current US population.1 We have existing methodologies through which we can detect if a person has diabetes, but as a software engineer, I think “is there a way we can detect or predict if a person might potentially have diabetes using current and historical patient data?” This is where my research on Diabetes management and care brings me to the platform of Big Data...
HXR 2016: The Health IoT: Remote Care and Mobile Solutions -Valeska SchroederHxRefactored
Through new telehealth technologies and increased data analysis physicians are gaining insights into patients like never before, allowing them to facilitate early interventions, improve adherence, and reduce readmission rates -- not to mention at a price more affordable than ever. The companies you’ll hear from in this session are using a healthy and innovative mix of data, educational tools, sensors, and more to improve patient outcomes.
State of Wearables Today - 2018 Consumer SurveyValencell, Inc
A new national survey released today on wearables revealed that actionable, accurate health insights from wearables will be increasingly important to the success of the industry and 63% of respondents have owned a wearable device at some point, up from 42% in 2016. The online survey polled 826 consumers from a wide range of U.S. regions, ages, and income levels on their experiences and preferences around wearables. The 2018 survey is a follow-up from the same survey conducted by Valencell in 2016.
Vator Splash Health, Wellness & Wearables 2017
A presentation on the Vator conference in San Francisco, CA. Perhaps one of my favorite conference series in health tech featuring many perspectives: tech, insurance, genomics, behavioral health, diagnostics, devices and more.
Application of data science in healthcareShreyaPai7
Data Science is a field that is widely applied in most other domains on a regular basis. The huge amount of data generated regularly calls for sophisticated methods of analysis so that the best interpretatiosn can be drawn from them. Healthcare is one such field in which data science is being used extensively.
HXR 2016: Data Insights: Mining, Modeling, and Visualizations- Niraj KatwalaHxRefactored
Data is useless if it fails to inform, which is precisely what data experts are furiously working on: turning raw informatics into meaningful narratives that begin to shift our standards. From the individual to the population level, data is leading both policy and better decision making in the clinical sphere.
Duality Technologies_Driving Secure Collaboration in Healthcare_mHealth IsraelLevi Shapiro
Presentation by Alon Kaufman, CEO, Duality Technologies, for the mHealth Israel community. Homomorphic encryption is used to protect patient privacy and data security.
* Artificial Intelligence can revolutionize customer engagement
* Treat the patient journey, not just the stops along the way
* Operating model: “industrialized digital”
Presentation covers basics of Big Data & its potential uses in healthcare. Data is growing & moving faster day by day. Getting access to this valuable data & factoring it into clinical & advanced analytics is critical to improve care. So there must be analysis of big data to make effective decisions.
The Hive Think Tank: Unpacking AI for Healthcare The Hive
In this The Hive Think Tank talk, Ash Damle, CEO of Lumiata takes a deep dive into Lumiata’s core technological engine - the Lumiata Medical Graph, which applies graph-based machine learning to compute the complex relationships between health data in the same way that a physician would, and how this medical AI engine powers personalization and automation within risk and care management.
"12 Steps to Better Healthcare" is filled with ideas that you can use right away to improve the efficiency and effectiveness of your healthcare organization. These steps can help you save time, money and lives, as you take part in the rebuilding of our healthcare system from the ground up.
Our Journey to Release a Patient-Centric AI App to Reduce Public Health CostsDatabricks
Health costs are exploding year by year. Thanks to Artificial Intelligence it is possible to address patient needs in a cost-efficient manner.
In the case we will present, we will demonstrate how as part of a telemedicine service we implemented a solution allowing to reduce triage cost of patients by leveraging AI. The app we developed not only allowed to reduce cost but is significantly improving the patient experience.
Using Big Data to Drive Diabetes Management and CareEMMAIntl
A chronic disease that has affected many people in the US is Diabetes. Based on the 2020 statistical report from Diabetes Research Institute Foundation, the number of people suffering from Diabetes is 34.2 million people which is 10.5% of the current US population.1 We have existing methodologies through which we can detect if a person has diabetes, but as a software engineer, I think “is there a way we can detect or predict if a person might potentially have diabetes using current and historical patient data?” This is where my research on Diabetes management and care brings me to the platform of Big Data...
HXR 2016: The Health IoT: Remote Care and Mobile Solutions -Valeska SchroederHxRefactored
Through new telehealth technologies and increased data analysis physicians are gaining insights into patients like never before, allowing them to facilitate early interventions, improve adherence, and reduce readmission rates -- not to mention at a price more affordable than ever. The companies you’ll hear from in this session are using a healthy and innovative mix of data, educational tools, sensors, and more to improve patient outcomes.
State of Wearables Today - 2018 Consumer SurveyValencell, Inc
A new national survey released today on wearables revealed that actionable, accurate health insights from wearables will be increasingly important to the success of the industry and 63% of respondents have owned a wearable device at some point, up from 42% in 2016. The online survey polled 826 consumers from a wide range of U.S. regions, ages, and income levels on their experiences and preferences around wearables. The 2018 survey is a follow-up from the same survey conducted by Valencell in 2016.
Vator Splash Health, Wellness & Wearables 2017
A presentation on the Vator conference in San Francisco, CA. Perhaps one of my favorite conference series in health tech featuring many perspectives: tech, insurance, genomics, behavioral health, diagnostics, devices and more.
Application of data science in healthcareShreyaPai7
Data Science is a field that is widely applied in most other domains on a regular basis. The huge amount of data generated regularly calls for sophisticated methods of analysis so that the best interpretatiosn can be drawn from them. Healthcare is one such field in which data science is being used extensively.
HXR 2016: Data Insights: Mining, Modeling, and Visualizations- Niraj KatwalaHxRefactored
Data is useless if it fails to inform, which is precisely what data experts are furiously working on: turning raw informatics into meaningful narratives that begin to shift our standards. From the individual to the population level, data is leading both policy and better decision making in the clinical sphere.
Duality Technologies_Driving Secure Collaboration in Healthcare_mHealth IsraelLevi Shapiro
Presentation by Alon Kaufman, CEO, Duality Technologies, for the mHealth Israel community. Homomorphic encryption is used to protect patient privacy and data security.
* Artificial Intelligence can revolutionize customer engagement
* Treat the patient journey, not just the stops along the way
* Operating model: “industrialized digital”
The Digitization of Healthcare: Why the Right Approach Matters and Five Steps...Health Catalyst
While many industries are leveraging digital transformation to accelerate their productivity and quality, healthcare ranks among the least digitized sectors. Healthcare data is largely incomplete when it comes to fully representing a patient’s health and doesn’t adequately support diagnoses and treatment, risk prediction, and long-term health care plans. But even with the obvious urgency for increased healthcare digitization, the industry must raise this trajectory with sensitivity to the impacts on clinicians and patients. The right digital strategy will not only aim for more comprehensive information on patient health, but also leverage data to empower and engage the people involved.
Health systems can follow five guidelines to digitize in a sustainable, impactful way:
Achieve and maintain clinician and patient engagement.
Adopt a modern commercial digital platform.
Digitize the assets (the patients) and the processes.
Understand the importance of data to drive AI insights.
Prioritize data volume.
Machine Learning AI In Healthcare Top 3 Pros You Did Not KnowOliviaWatson27
Machine Learning AI In Healthcare Top 3 Pros You Did Not Know
Machine learning has the potential to provide data-driven clinical decision support (CDS) to physicians and hospital staff. Click above to know more about the benefits of machine learning in 2022.
Source - https://viitorcloud.com/blog/machine-learning-in-healthcare-top-3-pros-you-did-not-know/
Artificial Intelligence and Machine Learning for businessSteven Finlay
Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences.
This presentation, based on the #1 Amazon bestselling book, cuts through the technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people.
The focus is very much on practical application, and how to work with technical specialists (data scientists) to maximise the benefits of these technologies.
The 20 most disruptive healthcare solution providers 2018insightscare
With an idea to acknowledge the fast-growing companies, contributing extraordinarily to the revolution of disruption in healthcare, we bring to you the special edition of “The 20 Most Disruptive Healthcare Solution Providers 2018”.
Why should we care about integrating data? What should we be trying to achieve? Population Health. The Softer, Human Side of Being “Data Driven” not “Driven By Data." The New Era of Decision Support in Healthcare. Top 10 Challenges To Integrating External Data.
Digitas Health LifeBrands took a trip to The Lone Star state and immersed ourselves in all things South by Southwest (SxSW).
The days went by fast and furious as we were pulled into speed sessions, meet-ups, brainstorms, demonstrations, hack-a-thons, pitches, accelerators, and a myriad of other Austin-style opportunities.
The next few slides are our attempt to bring some of these learnings home with an emphasis on why the message is relevant to healthcare marketers. Enjoy!
Big Data Provides Opportunities, Challenges and a Better Future in Health and...Cirdan
This presentation was delivered by Ashraf Mina, NSW Pathology at the Pathology Horizons 2017 Conference in Cairns, Australia.
Pathology Horizons 2017 is an annual CPD conference organised by Cirdan on the future of pathology. You can access more information about the event at www.pathologyhorizons.com
The company was founded in 2010 and is headquartered in Lisburn, Northern Ireland and has additional offices in Canada and Australia.
Cirdan is also responsible for organising Pathology Horizons, an annual and open CPD conference on the future of pathology. For more information visit - www.pathologyhorizons.com
The 10 most innovative companies bringing ai to healthcareinsightscare
In this issue of “The 10 Most Innovative Companies Bringing AI to Healthcare”, we have highlighted some of the renowned organizations from all over the globe, which have attained the feat of integrating AI into their solutions successfully and are now ready to play the next big inning.
A BIG DATA REVOLUTION IN HEALTH CARE SECTOR: OPPORTUNITIES, CHALLENGES AND TE...ijistjournal
Health care sector grows tremendously in last few decades. The health care sector has generated huge amounts of data that has huge volume, enormous velocity and vast variety. Also it comes from a variety of new sources as hospitals are now tend to implemented electronic health record (EHR) systems. These sources have strained the existing capabilities of existing conventional relational database management systems. In such scenario, Big data solutions offer to harness these massive, heterogeneous and complex data sets to obtain more meaningful and knowledgeable information.
This paper basically studies the impact of implementing the big data solutions on the healthcare sector, the potential opportunities, challenges and available platform and tools to implement Big data analytics in health care sector.
The 10 most innovative companies bringing ai to healthcare optimizeinsightscare
In this issue of “The 10 Most Innovative Companies Bringing AI to Healthcare”, we have highlighted some of the renowned organizations from all over the globe
Similar to Wharton hcmg 867 401 preso 3-4-15 v upload (20)
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
Knee anatomy and clinical tests 2024.pdfvimalpl1234
This includes all relevant anatomy and clinical tests compiled from standard textbooks, Campbell,netter etc..It is comprehensive and best suited for orthopaedicians and orthopaedic residents.
Flu Vaccine Alert in Bangalore Karnatakaaddon Scans
As flu season approaches, health officials in Bangalore, Karnataka, are urging residents to get their flu vaccinations. The seasonal flu, while common, can lead to severe health complications, particularly for vulnerable populations such as young children, the elderly, and those with underlying health conditions.
Dr. Vidisha Kumari, a leading epidemiologist in Bangalore, emphasizes the importance of getting vaccinated. "The flu vaccine is our best defense against the influenza virus. It not only protects individuals but also helps prevent the spread of the virus in our communities," he says.
This year, the flu season is expected to coincide with a potential increase in other respiratory illnesses. The Karnataka Health Department has launched an awareness campaign highlighting the significance of flu vaccinations. They have set up multiple vaccination centers across Bangalore, making it convenient for residents to receive their shots.
To encourage widespread vaccination, the government is also collaborating with local schools, workplaces, and community centers to facilitate vaccination drives. Special attention is being given to ensuring that the vaccine is accessible to all, including marginalized communities who may have limited access to healthcare.
Residents are reminded that the flu vaccine is safe and effective. Common side effects are mild and may include soreness at the injection site, mild fever, or muscle aches. These side effects are generally short-lived and far less severe than the flu itself.
Healthcare providers are also stressing the importance of continuing COVID-19 precautions. Wearing masks, practicing good hand hygiene, and maintaining social distancing are still crucial, especially in crowded places.
Protect yourself and your loved ones by getting vaccinated. Together, we can help keep Bangalore healthy and safe this flu season. For more information on vaccination centers and schedules, residents can visit the Karnataka Health Department’s official website or follow their social media pages.
Stay informed, stay safe, and get your flu shot today!
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These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
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New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...i3 Health
i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
Associate Division Director for Ambulatory Operations
The Ohio State University Comprehensive Cancer Center, will provide insight into new directions in targeted therapeutic approaches for older adults with mantle cell lymphoma.
STATEMENT OF NEED
Mantle cell lymphoma (MCL) is a rare, aggressive B-cell non-Hodgkin lymphoma (NHL) accounting for 5% to 7% of all lymphomas. Its prognosis ranges from indolent disease that does not require treatment for years to very aggressive disease, which is associated with poor survival (Silkenstedt et al, 2021). Typically, MCL is diagnosed at advanced stage and in older patients who cannot tolerate intensive therapy (NCCN, 2022). Although recent advances have slightly increased remission rates, recurrence and relapse remain very common, leading to a median overall survival between 3 and 6 years (LLS, 2021). Though there are several effective options, progress is still needed towards establishing an accepted frontline approach for MCL (Castellino et al, 2022). Treatment selection and management of MCL are complicated by the heterogeneity of prognosis, advanced age and comorbidities of patients, and lack of an established standard approach for treatment, making it vital that clinicians be familiar with the latest research and advances in this area. In this activity chaired by Michael Wang, MD, Professor in the Department of Lymphoma & Myeloma at MD Anderson Cancer Center, expert faculty will discuss prognostic factors informing treatment, the promising results of recent trials in new therapeutic approaches, and the implications of treatment resistance in therapeutic selection for MCL.
Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
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TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Ve...kevinkariuki227
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
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Report Back from SGO 2024: What’s the Latest in Cervical Cancer?bkling
Are you curious about what’s new in cervical cancer research or unsure what the findings mean? Join Dr. Emily Ko, a gynecologic oncologist at Penn Medicine, to learn about the latest updates from the Society of Gynecologic Oncology (SGO) 2024 Annual Meeting on Women’s Cancer. Dr. Ko will discuss what the research presented at the conference means for you and answer your questions about the new developments.
8. 12/31/05 1/31/06 2/28/06 3/31/06 4/30/06 5/31/06 6/30/06 7/31/06 8/31/06 9/30/06 10/31/06 11/30/06
A medical record is a punctuated data stream
PersonalHealthData
9.
10. PersonalHealthData
12/31/05 1/31/06 2/28/06 3/31/06 4/30/06 5/31/06 6/30/06 7/31/06 8/31/06 9/30/06 10/31/06 11/30/06
EMR data + user generated/sensor data = a complete picture
59. What is your Key Metric?
…………………….Hospitalizations for mental health
…………………Medication adherence
………………% of asthmatics who are controlled
…………………% of users with >5% weight loss
.…………………HbA1c
71. Know your audience
Make your product simple
Make your product delightful
Make your product meaningful
Obsess about UX
72. • Meta-aggregators
– An integration and communication layer
around the EMR
• Full verticals
– Oscar, Adelaide, more coming
• TeleMedicine / nurses / coaches
– But not TeleDoc, more like Better for CF
patients
• Proliferation of sensors
– But for what purpose? What is the UX – that’s
the hard part
73. Technology is nothing. What’s
important is that you have a faith in
people, that they’re basically good and
smart, and if you give them tools,
they’ll do wonderful things with them.
Steve Jobs